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How Washington, D.C., Voted in 2024
How Washington, D.C., Voted in 2024 New York Times (Online) Filter to a voting group to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally, including 18 voters in Washington, D.C., as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally, including 144 precincts in Washington, D.C. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally, including 97 percent of voters in Washington, D.C. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate in Washington, D.C. compared with the share of the voting-eligible population.
2026-10-25 -
How Utah Voted in 2024
How Utah Voted in 2024 New York Times (Online) Filter to a voting group to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally, including 53 voters in Utah, as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally, including 2,678 precincts in Utah. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally, including more than 99 percent of voters in Utah. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate in Utah compared with the share of the voting-eligible population.
2026-10-25 -
Introducing a New Way to Understand the Election: Times Voter Trends
Introducing a New Way to Understand the Election: Times Voter Trends New York Times (Online) Nate Cohn When the dust settles on election night, the story won't simply be about who won, but who decided the outcome: Which demographic groups shifted the most, stayed home or delivered the decisive votes to the winners? This year, we're going to tell the demographic story of the election as we never have before. We will publish a new comprehensive portrait of how each of the key demographic groups in the country voted, called Times Voter Trends . It will break down estimates for the results of U.S. House and Senate elections by age, race, education and gender in every state in the country. We'll report our preliminary findings late on election night. Today, we're retroactively releasing findings from the 2020 and 2024 presidential elections, which offer a baseline for evaluating how voters will shift in the midterm election. You can explore demographic trends in every state, from President Trump's surge among Hispanics to Kamala Harris's overlooked resilience among white voters in the Sun Belt. Times Voter Trends draws on exhaustive data gathered and in some cases generated by The New York Times. It synthesizes the Times/Siena poll , precinct-level election results, voter file data and, of course, estimates from our election night live model, The Needle , into a comprehensive analysis of what happened in the election. We've been making estimates like these internally for a decade. They lurk behind the Times/Siena poll and Needle. We've sometimes used the data in articles analyzing voter turnout and demographic trends. Nonetheless, we have never released them comprehensively to the public or reported them so soon after the polls close. This year, the estimates will be augmented by a new data collection effort: For the first time, in the final days of the election, we will seek to recontact all of the roughly 30,000 people who took part in any Times/Siena poll during the year. We'll ask them whether they ultimately voted and for whom, trying to catch any late shifts and to better understand the actual turnout. We'll begin recontacting early voters before the election. We'll blitz the rest on Election Day. To make these estimates, we use a statistical model to understand how demographic characteristics drive the preferences of voters. The model allows us to estimate the likelihood that every registered voter in the country voted for the Democrat or Republican or stayed home, using voter file data from L2, a nonpartisan political data firm. We adjust these individual-level estimates to match the actual or estimated result by precinct. Compared to the exit polls, the Times Voter Trends analysis of the 2024 election shows a larger gender gap, especially among young voters. Similarly the Times analysis shows that President Trump made gains among white voters; the exit polls showed Kamala Harris gaining among them. While the exit polls have been treated as an authoritative measure of the electorate as voters leave the voting booth, they have had huge problems . In response, the exit polls have transitioned into a kind of hybrid poll, with a substantial pre-election polling component. The transformation of the exit poll — now rebranded as the Voter Poll — seems to have alleviated its previous issues, but the same changes make it much harder to compare the exit poll results over time. As a result of these shortcomings, several competitors to the exit poll have emerged over the last decade, including studies from Catalist, NORC and Pew Research. Like Times Voter Trends and the rebooted Voter Poll, most of these studies rely on pre-election data collection. The Catalist and Pew studies are worthy of particular note, as they leverage much of the same data as Times Voter Trends. Unfortunately, they are not available until months after the election. Even once they're published, material differences between the various estimates remain. None of these methods are perfect. Times Voter Trends is no exception. Like any statistical model, it's subject to many sources of error. It's important to be cautious about the results for small subgroups, especially in states in which we did not conduct a Times/Siena poll or where the state's voter data does not contain party registration or primary vote history. In general, it's better to look at the preponderance of evidence than any single estimate. While every analytical approach has limitations, trying to arrive at the best answer matters. The demographic story of the election can reverberate for years, as policymakers, politicians and campaigns devise policies and messages to reward their supporters or win back those they lost. When the numbers are off, the American political system can be less responsive to public opinion. Every additional data point gives us a better shot to get it right.
2026-10-25 -
How West Virginia Voted in 2024
How West Virginia Voted in 2024 New York Times (Online) Filter to a voting group to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally, including 14 voters in West Virginia, as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally, including 1,638 precincts in West Virginia. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally, including more than 99 percent of voters in West Virginia. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate in West Virginia compared with the share of the voting-eligible population.
2026-10-25 -
The Methodology Behind Times Voter Trends
The Methodology Behind Times Voter Trends New York Times (Online) Nate Cohn Times Voter Trends reports are based on individual-level estimates of the likelihood that voters would have supported the Democrat, Republican or a minor-party candidate. The estimates incorporate poll results from The Times/Siena Poll; voter file data from L2; precinct-level election results collected by The New York Times and the Voting and Elections Science Team; county-level election results from The Associated Press; and U.S. Census Bureau data including the Current Population Survey and the American Community Survey. The L2 voter file is used as the foundation for a synthetic population of registered voters representing the joint distribution of the self-reported demographic characteristics of registered voters in the United States. The probability that each registrant supported the Democratic, Republican or minor party candidate for president in 2024 or 2020 is based on a model of vote choice in Times/Siena polls, fit as a function of respondent's self-reported demographics, data on the L2 voter file, and geographic data. The resulting individual-level probabilities are adjusted to match the result by precinct. The estimates do not report a margin of sampling error because they are not based on a sample of the population. The estimates are derived from multiple models, which are each subject to different kinds of error. The results for small subgroups, states without a Times/Siena pre-election poll and states without reliable data on partisanship, like party registration or primary vote history, should be treated with particular caution. The first post-election L2 voter file with comprehensive vote history in each state is used as the base frame for a synthetic population of registered voters, which represents the joint distribution of the demographic characteristics of registered voters in the United States. The synthetic population is built iteratively and probabilistically. For each successive trait, the self-reported demographic characteristic of Times/Siena poll respondents is modeled as a function of voter file traits like party registration and vote history, geographic-level predictors, and the respondent's self-reported characteristics for any previously modeled trait. These models are used to estimate the probability that each registered voter belongs to a given demographic group; the demographic trait assigned to each registrant is simulated probabilistically. The demographic characteristics were assigned or modeled in this order: Gender: The L2 voter file contains a likely gender for voters, usually based either on how voters identified on their voter registration form or the likely gender of their first name. The L2 classification is accurate for 99 percent of respondents in recent Times/Siena polls; it is used without revision. Age: The L2 voter file contains either a date or year of birth for nearly all voters in most states, based on the information provided by registrants when they submit their voter registration form. When age is provided on the L2 voter file, it is used without modification. However, the voter file does not have age for a meaningful share of the population in some states, such as Alaska, New Hampshire and Wisconsin. For voters without a date or year of birth on the voter file, the age of the registrant is probabilistically simulated based on a model of self-reported age in Times/Siena polls. Race: The racial classification available on the L2 voter file is never assigned to the registrant — not even in the seven states where state voter files contain the race provided by registrants on their voter registration form. Race is probabilistically simulated for all registered voters based on multiple models of self-reported race in prior Times/Siena polls. The polls were joined to the given year's voter file and reweighted to match the voter file by L2's modeled race, party, age and interactions thereof, with the original survey weight as the base weight. The adjusted survey weight was used in all subsequent race models. The first model is a Times/Siena polling-based implementation of Bayesian Improved Surname and Geocoding, which estimates the probability of someone's race based on their surname and geographic information. In traditional BISG, the surname-derived probability of someone's race is based on the racial composition of people with their surname in U.S. Census data. In this version, the name-based probability is based on a multinomial logistic regression model with cross-validation of self-reported race in previous Times/Siena polls fit as a function of multiple measures of the racial makeup of the respondent's name: the 2010 decennial Census surname file and the racial makeup of voters' first, middle and last names on the L2 voter file in the states where voters can provide their race when they register to vote. The geo-level data is Census tract data from the American Community Survey 5-year of the racial composition of the citizen voting age population. The second model uses a machine learning algorithm, Gradient Boosting, to model self-reported race among previous Times/Siena poll respondents as a function of the aforementioned BISG-like estimate, voter file characteristics, geographic predictors and simulated self-reported traits like age and gender. Three different versions of the model are fit for states with different data on race and party: one for states with party on the voter file, one for states without party on the voter file (trained on voters from all states, but without partisanship as a predictor) and one for states where self-reported race is available on the voter file (trained only on the states with race on the voter file, with voter file race as an additional predictor variable). Education: Self-reported education was modeled for all registered voters using three models of self-reported education in Times/Siena polls: a model of whether the respondent had a college degree; a model of whether college graduates had a postgraduate degree; and a model of whether people without a four-year college degree had attended some college. All three models were trained using a machine learning algorithm, Gradient Boosting, which modeled education as a function of self-reported race, age, gender, census-tract educational attainment, census-tract educational attainment by race, turnout, party and salient socioeconomic variables on the voter file, including home value, education and occupation. Separate models were fit for states with and without party registration. The models were adjusted to match New York Times estimates for the educational composition of registered voters, based on the Census Current Population Survey and the American Community Survey. The probability that each registrant supported the Democratic, Republican or minor party candidate for president is based on multiple models of vote choice in pre-election New York Times/Siena polls taken from September to November in 2020 and 2024. Major party and minor party vote choice were modeled separately. The major party models use a machine learning algorithm, Gradient Boosting, to train a model of vote choice in Times/Siena polls as a function of the following covariates: Age Race Education (four categories and two categories) Gender Party registration and partisan primary participation Region (Northeast, South, West, Midwest) State, if the respondent is from a state poll Vote history in the last two general elections Census tract race and ethnicity Census tract educational attainment Census tract educational attainment by race and ethnicity Precinct-level election results in 2024 (or imputed based on the demographic makeup of the precinct) Precinct-level ecological inference by race and ethnicity (eipack::bayesei) Two separate models are fit for states with different voter file data on partisanship. One model is fit for states with party registration or primary vote history. It is trained only on data from states with such data. A second model is fit for states without partisanship data on the voter file. The model is trained on all survey respondents from all states, but without party registration or partisan primary participation as a predictor. The minor party model was fit using a logistic regression model, with minor party support modeled as a function of the standard self-reported demographic traits, vote history, party registration, precinct-level election results in 2024, and whether the respondent's ethnicity is classified as likely to be Arab by L2. The resulting individual-level probabilities were adjusted in multiple steps to match the actual election result by precinct. First, the probability that a voter would support a minor party candidate was adjusted to match the minor party proportion of the vote. Second, the probability that a voter would support a major party candidate was adjusted to match a candidate's major party vote share in the precinct. Finally, the probability that a voter would support the Democratic or Republican candidate was calculated by multiplying the adjusted Democratic and Republican share of the major party vote by the adjusted major party vote share of the precinct. The adjustment is calculated by finding a value on the logit scale that minimizes the difference between the actual result by precinct and the mean of the individual-level probabilities among validated voters. The racial makeup of the electorate is sensitive to question-wording and whether to use the race and ethnicity provided by registrants in the seven states where the voter registration form asks about race. Across Times/Siena polls from 2020 to 2026, only 90 percent of Times/Siena respondents' self-reported race aligns with the race they reported when they registered to vote in Alabama, South Carolina, Louisiana, Florida, Tennessee, North Carolina and Georgia. The number is similar, at 92 percent, among those who provided their cellphone number when they registered to vote, suggesting that the difference is mostly due differences in measurement. The effect varies considerably by race. Among self-reported white voters to the Times/Siena poll, 96 percent reported the same classification when they registered to vote, compared with 93 percent of Black respondents, 74 percent of Hispanics and only 32 percent of other nonwhite voters. On net, Times/Siena respondents were less likely to identify as white in response to the survey than when they registered to vote. Overall, 63 percent of Times/Siena respondents from the states where self-reported race is available on the voter file identified as non-Hispanic whites in the survey, compared with 65 percent when they registered to vote. The difference between the survey and voter file-based measures of a respondent's self-reported race is at least partly a result of differences in question wording, which varies across state voter registration forms and between those forms and The Times/Siena Poll. Beginning in early 2024, Times/Siena polls have asked the combined race and ethnicity question planned for the 2030 census, not the traditional two-part race and ethnicity question used in the 2020 census. For the Times Voter Trends, responses to the Times/Siena race question have been recoded to more closely align with the 2020 Census definition by reassigning multiracial Hispanics to Hispanic and Middle Eastern and North African respondents to non-Hispanic white. Native Hawaiian or Pacific Islander, American Indian or Native American, multiracial, and “some other race” have been combined into “other.” To be classified as “some other race,” respondents had to provide an answer that's about race, ethnicity or national origin and clearly interpretable to the person responsible for recoding the open-ended answer recorded by the interviewer. For example, “human” is treated as Don't know/Refused, not “some other race,” and excluded from our modeling because it does not offer a specific race, ethnicity or national origin. Conversely, a respondent recorded as responding “Castanian” is recoded as Don't know/Refused because the person responsible for coding the race of the respondent doesn't know whether this is a misheard or misspelled version of Caucasian (White), Kazak (Asian), or something else, not because the respondent themselves doesn't know or is refusing to answer. The change in the race and ethnicity question has particularly significant consequences for the composition of the “other” category, making it challenging to compare the 2020 and 2024 results for this group. Consequently, the Times Voter Trends pages do not display the shift between 2020 and 2024 for the “other” race category, as well as the shift between 2020 and 2024 by race in Hawaii, where “other” race represents nearly one-third of the vote. Source: Times Voter Trends, Current Population Survey, Catalist Voter Behavior Study, Pew Research Center study of validated voters; exit poll conducted by the National Election Pool and Edison Research. By The New York Times Source: Times Voter Trends, Current Population Survey, Catalist Voter Behavior Study, Pew Research Center study of validated voters; exit poll conducted by the National Election Pool and Edison Research. By The New York Times
2026-10-25 -
How to watch the men's Open Parc Auvergne-Rhone-Alpes Lyon: Streaming options for the Final
How to watch the men's Open Parc Auvergne-Rhone-Alpes Lyon: Streaming options for the Final New York Times (Online) Data Skrive Taylor Fritz (No. 14 in world) will face Lorenzo Musetti (No. 26) today at the men's Open Parc Auvergne-Rhone-Alpes Lyon, in , . This watch guide was created using technology provided by Data Skrive. Betting/odds, ticketing and streaming links in this article are provided by partners of The Athletic. Restrictions may apply. The Athletic maintains full editorial independence. Partners have no control over or input into the reporting or editing process and do not review stories before publication. Photo: Clive Brunskill, Carl De Souza, Filipe Amorim, Valery Hache / Getty Images
2026-10-25 -
Nikola Jokić passes Russell Westbrook's combined triple-double mark
Nikola Jokić passes Russell Westbrook's combined triple-double mark New York Times (Online) Devon Henderson Nikola Jokić passed Russell Westbrook for the most combined regular-season and playoff triple-doubles in NBA history on Saturday, recording the 222nd of his career in an overtime win over the New Orleans Pelicans. Jokić dropped 35 points, 15 rebounds and 10 assists in a 141-135 win over New Orleans, the three-time MVP's first triple-double of his 12th season. Westbrook still holds the all-time regular-season record with 209 triple-doubles. Jokić is second with 199. The Nuggets center ranks third all-time in playoff triple-doubles with 23. JOKIĆ TONIGHT: MOVES 11 TRIPLE-DOUBLES AWAY FROM THE ALL-TIME RECORD 🃏 35 points, 15 rebounds and 10 assists in the @nuggets ' 23-point comeback W! pic.twitter.com/yzGFakZYXy — NBA (@NBA) October 25, 2026 Typically uninterested in accolades and personal achievements, Jokić gave a brief response when asked if passing Westbrook on the career triple-double list (playoffs and regular season combined) meant anything to him. “It's definitely something for after the career … is nice,” Jokić told reporters after the game. Asked if he'd text Westbrook, Jokić reaffirmed his aim was the regular-season record. “No if I break his official record then I'm going to text him,” the 31-year-old said. Jokić has averaged a triple-double the last two seasons. Should he average one this season, he would match Westbrook as the only other NBA player in history to do so for three seasons in a row. History was made Saturday, but Jokić's goal lies with the regular season mark, 11 triple-doubles away.
2026-10-25 -
How Wyoming Voted in 2024
How Wyoming Voted in 2024 New York Times (Online) Filter to a voting group to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally, including 7 voters in Wyoming, as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally, including 431 precincts in Wyoming. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally, including more than 99 percent of voters in Wyoming. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate in Wyoming compared with the share of the voting-eligible population.
2026-10-25 -
How to watch Getafe vs. Athletic Bilbao in the U.S.: TV channel and streaming options for October 25
How to watch Getafe vs. Athletic Bilbao in the U.S.: TV channel and streaming options for October 25 New York Times (Online) Data Skrive Athletic Bilbao hosts Getafe in La Liga at San Mames Stadium on Sunday, Oct. 25. The two squads will face off at 9 a.m. ET. Athletic Bilbao currently has nine points, 15th in the league. Getafe has nine points, and is in 16th. Oihan Sancet : Out, Gorka Guruzeta : Out, Aymeric Laporte : Out Djene : Out This watch guide was created using technology provided by Data Skrive. Betting/odds, ticketing and streaming links in this article are provided by partners of The Athletic. Restrictions may apply. The Athletic maintains full editorial independence. Partners have no control over or input into the reporting or editing process and do not review stories before publication. Photo: Juan Manuel Serrano Arce/Getty Images, iStock
2026-10-25 -
How Washington Voted in 2024
How Washington Voted in 2024 New York Times (Online) Filter to a voting group to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally, including 125 voters in Washington, as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally, including 7,747 precincts in Washington. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally, including more than 99 percent of voters in Washington. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate in Washington compared with the share of the voting-eligible population.
2026-10-25 -
How Americans Voted in the 2024 Election by Race, Gender, Age and Education
How Americans Voted in the 2024 Election by Race, Gender, Age and Education New York Times (Online) All voters, 155 million people All voters 155 million people Nonwhite voters 45 million people White voters 110 million people Voters with a college degree 64 million people Voters without a college degree 91 million people 18-29 voters 23 million people 65+ voters 45 million people Select a state or filter to a group of voters to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Use the filters below to map support by demographic group, and to see how groups shifted compared with 2020. Almost every group of voters shifted significantly toward Donald J. Trump between 2020 and 2024. The changes in support among these groups were among the most decisive. Hispanic voters had the biggest shift of any racial group toward President Trump, especially young men. While they still supported the Democratic party by large margins, Black voters moved toward Republicans. Voters aged 18 to 29 shifted right. Men, particularly Hispanic men, shifted most, but women and college-educated voters also moved toward Republicans. Voters without a college degree moved toward Republicans, especially younger people, men and nonwhite voters. Hispanic voters had the biggest shift of any racial group toward President Trump, especially young men. While they still supported the Democratic party by large margins, Black voters moved toward Republicans. Voters aged 18 to 29 shifted right. Men, particularly Hispanic men, shifted most, but women and college-educated voters also moved toward Republicans. Voters without a college degree moved toward Republicans, especially younger people, men and nonwhite voters. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate compared with the share of the voting-eligible population.
2026-10-25 -
Utah now carries the Big 12's Playoff hopes, remains unbeaten after surviving Houston
Utah now carries the Big 12's Playoff hopes, remains unbeaten after surviving Houston New York Times (Online) Christopher Kamrani After a tough day for the Big 12 in which two of its undefeated teams took their first loss, No. 10 Utah put itself in the driver's seat of the conference race with a 21-13 home win over No. 14 Houston. The Utes (7-0, 4-0 Big 12) are the league's only undefeated team and are sure to move up in the Associated Press poll after No. 7 Ole Miss and No. 8 Texas Tech fall . Saturday night's win, which was Utah's first over a ranked team this season, also boosts the Utes' College Football Playoff hopes. In a defensive slugfest for much of the night, a key defensive call by Utah helped seal the deal in the final minutes. With the Utes clinging to a one-point lead with 2:20 left and Houston with the ball, defensive back Jackson Bennee knifed through the Houston front unblocked, leveled Cougar quarterback Conner Weigman, and forced a fumble, which Utah defensive tackle Jireh Moe recovered. On the next play, Utah quarterback Devon Dampier trotted in for a 9-yard touchdown run and an eight-point lead. The Cougars (6-2, 3-2) had one final opportunity, but the Utes' pressure packages forced Weigman to get rid of the ball quickly on his final three pass attempts, all of which fell incomplete. “Man, honestly, we knew this was gonna be a fight,” Dampier said after the win. “Houston's a well-coached team, players as well … The message was we talked about getting to the College Football Playoff, and we're here.” The Cougars came into Saturday as one of the nation's most productive offenses, ranked No. 2 in the FBS in points per possession, behind only Miami. And though Houston moved the ball, Utah allowed points on only three of seven Cougar drives. In addition to the late fumble, Utah forced two turnovers on downs and four punts. Credit the Utes for a sound game plan and a physical performance. They played fast, tackled hard and kept Weigman under pressure, sacking him three times. They also held Houston to just 2.8 yards per rush. The Cougars losing star tight end Patrick Overmyer, who left in the game with a first-half injury and didn't return, certainly factored into their offensive struggles. Overmyer, The Athletic 's midseason All-American tight end , led all FBS tight ends with seven touchdown receptions entering Saturday night. Much of the attention around Utah has been on its offense this season, one of the most creative units, led by one of the country's best dual-threat quarterbacks, Dampier. Though Dampier made plenty of plays on Saturday night (204 passing yards, 150 rushing yards and two touchdowns), it's the defensive effort that proved most valuable. — Sam Khan Jr. This story will be updated
2026-10-25 -
At Least 12 Injured, Including 6 Minors, in Shooting Near Florida A&M's Stadium
At Least 12 Injured, Including 6 Minors, in Shooting Near Florida A&M's Stadium New York Times (Online) Yan Zhuang At least 12 people were injured, including six minors, in a shooting near Florida A&M University's football stadium in Tallahassee, Fla., on Saturday night, shortly after the university's homecoming game, the police said. Preliminary findings suggested that an altercation had preceded the shooting, which investigators believed was an isolated incident involving two or three people, the Tallahassee police chief, Lawrence Revell, said at a news conference. The youngest victim was 11 years old, Chief Revell said. One victim was in critical condition, three were in serious condition and eight were in stable condition. Eleven of the 12 victims had gunshot wounds and one was believed to be a Florida A&M University student, he said. No suspects were in custody as of Saturday night. Officers responded just before 8 p.m. to the shooting on two streets near Bragg Memorial Stadium, the police said. Florida A&M University's football team had faced the University of Arkansas at Pine Bluff at the stadium hours earlier. Florida A&M University is one of the nation's largest historically Black colleges and universities. Its weeklong homecoming celebration is one of the biggest events on the university's social calendar, attended by students, faculty and alumni. Chief Revell said that there were about two dozen officers in the immediate area at the time of the shooting.
2026-10-25 -
How Wisconsin Voted in 2024
How Wisconsin Voted in 2024 New York Times (Online) Filter to a voting group to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally, including 1,658 voters in Wisconsin, as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally, including 3,503 precincts in Wisconsin. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally, including 99 percent of voters in Wisconsin. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate in Wisconsin compared with the share of the voting-eligible population.
2026-10-25 -
How Vermont Voted in 2024
How Vermont Voted in 2024 New York Times (Online) Filter to a voting group to see more detailed data. Times Voter Trends relies on extensive, detailed data from the following sources. Our estimates can improve as we get more data over time. Interviews with 25,568 voters nationally, including 9 voters in Vermont, as part of The Times/Siena Poll. This data forms the basis of our understanding about who voters cast a ballot for. Granular results from 165,862 precincts and townships nationally, including 247 townships in Vermont. We collect the most detailed election results from as many states as possible to understand voting patterns in different communities. Validated turnout for more than 99 percent of voters nationally, including 99 percent of voters in Vermont. We will never know who everybody voted for, but knowing specifically who voted gives our estimates additional precision. Voter files for every state and district. The voter file is a list of all registered voters that is our starting point for The Times/Siena Poll and these estimates. Read the full methodology here. Last updated Oct. 24, 2026 at 5:12 p.m. E.T. Compare different combinations of race, gender, age and education using the options below. This is our best estimate of the 2024 electorate in Vermont compared with the share of the voting-eligible population.
2026-10-25 -
What to Know as Serbia Votes for a New Parliament
What to Know as Serbia Votes for a New Parliament New York Times (Online) Andrew Higgins Voters in Serbia choose a new Parliament on Sunday, in an election that will test whether nearly two years of student-led protests against the political establishment reflect wider public opinion or just youthful anger out of sync with the majority. The vote pits the governing party of Aleksandar Vucic , Serbia's dominant political figure since 2012, against a slate of candidates selected by activists in the vanguard of the protests, which began in November 2024. The demonstrations have raged on and off since then, attracting hundreds of thousands of people in cities across the country. Some polls indicate that Mr. Vucic's main opposition, a new political grouping called “Student List-Students Win,” could get as many votes as the governing party, or even more. Opinion polls in Serbia, however, are notoriously unreliable, heavily biased in favor of whoever commissions them. Still, the vote is being seen as Serbia's most competitive in years, a pivotal moment akin to the 2000 presidential election narrowly lost by Slobodan Milosevic, Serbia's authoritarian nationalist leader during the Balkan wars of the 1990s. Preliminary official results are expected to be released late Sunday or early Monday. The election comes just six months after voters in neighboring Hungary rejected their longtime leader Viktor Orban, a close ally of Mr. Vucic's who, like the Serbian leader, championed populist nationalist politics. We are having trouble retrieving the article content. Please enable JavaScript in your browser settings. Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times. Thank you for your patience while we verify access. Already a subscriber? Log in . Want all of The Times? Subscribe .
2026-10-25 -
The tiny Mallorcan club boasting three Ballon d'Or nominees
The tiny Mallorcan club boasting three Ballon d'Or nominees New York Times (Online) Laia Cervelló Herrero As dusk falls, the heat begins to subside and a breeze blows in from the bay. The beaches empty out. Tourists head back to their hotels. Locals finishing their working day take to the bar terraces. At UD Collerense, meanwhile, girls in football boots are heading out for training. Collerense is a club based in Palma on the Spanish island of Mallorca. This is where Patri Guijarro, Mariona Caldentey and Cata Coll all started. This year, all three have been nominated to win the Ballon d'Or. The island's inhabitants say there's something special about Mallorca. It has produced many elite sportspeople, including tennis star Rafael Nadal. You can smell the sea from the Collerense stadium, it's just a block from the coast. Surfers carrying their boards file past in the late afternoon. When you walk through the entrance gate, there's nothing to suggest that three of the best 30 players in European women's football emerged here. Guijarro, Caldentey and Coll all moved on to Barcelona, where they won three Champions League titles (2021, 2023 and 2024) together. Caldentey won the 2025 trophy in her debut campaign with Arsenal after leaving Catalonia. Guijarro and Coll are still at Barca, and added a fourth title of their own in May. Today, Collerense play in the fourth tier of women's football in Spain, but between 2009 and 2016 they were in the top flight. It is a modest club, but its youth system is renowned throughout Spain — with good reason. To learn about Collerense, you have to speak to Pili Espadas. She is the heart and soul of this club. You'll have to wait your turn though. As I walk around the grounds, I spot a woman holding a hefty bunch of keys in her hand. I realise it's Espadas and go over to speak to her, but to do so you have to queue up like at the greengrocer's; she's always surrounded by parents, players and coaches looking for advice. Espadas was one of the players who founded Collerense's women's team in 1999, made up of sisters of the male players and a few other families from the Palma neighbourhood that gave the club its name — Coll de'n Rabassa. She played for the club from its inception, progressed through all the age groups and retired in 2024, aged 43. She remains involved as a coach. “Twenty-six years ago, it was a different era,” she says. “We girls didn't dare play with the boys, it was frowned upon. The early days were tough. We played on dirt pitches, we didn't have any of the facilities we have now.” When Collerense were promoted to the Liga Nacional in 2002 — Spain's second tier at the time — the competition required them to have a reserve team, so they set one up. Espadas became the reserve team's coach whilst playing for the first team and helping them achieve promotion to the top flight. “We don't have the structure or the budget of the big clubs, but in terms of the players' commitment, passion and sacrifice, we never stopped believing,” says Espadas. “We didn't get paid; we did it for the love of the game. We were a group of friends.” In 27 years, the club has grown to include six women's teams which promote the development of young talent and new players. What they could scarcely have imagined was that the cradle of women's football in the Balearic Islands would end up playing a significant role in the World Cup-winning Spain team and the incredible success of Barcelona. Caldentey and Coll were on the pitch as Spain beat England 1-0 in that August 2023 final. Guijarro was one of Las 15, a group of players who said they did not want to play until changes were made to the coaching staff. “The day they lifted the World Cup, I had a proper cry,” says Espadas. “When I was playing, I had no role models, but they are role models now, both in Spain and on the world stage.” The first of the three to join Collerense was Caldentey, now 30. That was in 2010. The Arsenal player was living in Felanitx, a town in the island's interior, situated in the east, with a population of almost 20,000. Among its traditional houses with colourful doors and windows, at the heart of the town lies the Penya Barcelonista Tamarell, one of Mallorca's best-known official Barcelona supporters' clubs, where fans gather to watch the matches. It was founded in 2003 by Miquel Angel Caldentey, Mariona's father, who passed away in 2018. The village where the player grew up is about 30 miles from Collerense's training ground, a car journey of around 48 minutes. Now, on the outskirts of the village, Felanitx's municipal football stadium bears the name of Mariona Caldentey. “She came from a mixed-gender team and was already standing out there,” says Espadas. “She was a lovely person. She was always smiling. She hasn't changed in that respect, either. “I used to call her 'the magician', because she could spot a pass where no one else could. In her second training session with Collerense, she injured her knee and had to undergo cruciate ligament surgery. She's missed important matches and finals, but football has given her what she deserves.” In 2012, another promising young footballer joined the ranks of Collerense. Her name was Patri Guijarro. Unlike Caldentey, she lived in the capital, Palma de Mallorca. “Patri joined the under-12s and had to play in the mixed team because she was under 15,” Espadas says. “Even then, she was making a difference. She took control of the midfield straight away. And then there was her shot from outside the box. “She scored goals practically from the centre of the pitch. She's the balance, the compass, the rudder of a team that everyone wants to have. She's a player with great ball distribution, balance, vision and aerial ability. She's indispensable.” Espadas regrets that she moved on so soon. In 2015, she followed in Caldentey's footsteps (who left in 2014) and signed for Barcelona. Now 28, she was made Barca captain this season after Alexia Putellas' departure. “Right now, she's the best central midfielder in the world,” says Espadas. A year later, in 2016, Cata Coll joined Collerense. She was a cheerful little girl who had set her heart on becoming a goalkeeper and idolised Dudu Aouate, the former Mallorca men's goalkeeper (2009-14). Coll, now 25, lived in Portol, a town with a population of almost 4,000, 23 minutes north of Palma. In contrast to her character, it is a very quiet town. The local stadium now carries her name, too. “She was a bit of a wild one,” says Espadas, breaking into a laugh. “They say goalkeepers have to be a bit mad, and she was no exception. “She brings the team to life. She got on well with everyone and always had a smile for everyone. She made training sessions that much better. “She exudes confidence and self-assurance. She's brilliant with her feet. She already had that when she was with us. She's very strong in the air and conveys confidence to the whole team.” In 2019, Collerense had become too small for Coll, now 25. She ended up signing, like her predecessors, for Barcelona, where she has been the first-choice goalkeeper since 2023. But before any of these three illustrious figures there was another Collerense player who paved the way for them. Virginia Torrecilla, played for two years at Collerense then spent a season at Sporting de Palma before signing for Barca where she spent three seasons (2012-15), sharing a dressing room with, amongst others, Putellas, for whom the midfielder is a very important figure. Torrecilla was part of the team that laid the foundations for Barca's success. She left in 2015 to join Montpellier (2015-19), before returning to Spain with Atletico Madrid (2019-23). In 2020, she was diagnosed with a brain tumour, which she managed to overcome, and in January 2022 she returned to the pitch for the Supercopa de Espana final against Barcelona, where she was celebrated by both teams. She then played one season for Villarreal CF (2023). In 2024, she returned home to play for Baleares and retired that same year. Torrecilla played a key role in Caldentey's signing for Barca. Today, she regrets that Collerense finds itself in such a different situation from that of its golden age. “Collerense today is not what it used to be,” she says. “But those years were wonderful; what they did was groundbreaking. They gave us the chance to turn professional, which is not the case today.” The first team was relegated in 2016 after seven years in the top flight. Their best players eventually left for bigger teams. The support schemes for smaller clubs that exist today were not yet in place. For Collerense, the Ballon d'Or ceremony will be a chance to celebrate three extraordinary journeys that began on its pitches. The harder challenge is making sure the next generation gets the same chance.
2026-10-25 -
Far, Far Away
Far, Far Away New York Times (Online) Nick Schönfeld Kelly Green remembers the moment the world's most remote inhabited island first came into view. From a distance, Tristan da Cunha looked like a dark triangle on the horizon. Up close, she saw the island's tiny settlement spread below volcanic cliffs. Then it became her home. Supported by Making a home on the world's most remote inhabited island. By Nick Schönfeld Photographs by Julia Gunther Nick Schönfeld and Julia Gunther spent 16 months reporting on island life during two trips to Tristan da Cunha between 2023 and 2026. To reach Tristan, roughly halfway between Africa and South America, Kelly Green crossed 1,738 miles of the South Atlantic from Cape Town aboard the M.V. Edinburgh, a 205-foot lobster boat. She had never been to sea before, and she worried about seasickness, but it never came. After a week at sea, the ship dropped anchor off Calshot Harbour, in front of Tristan da Cunha's only settlement — Edinburgh of the Seven Seas. Its two small piers, jutting into the water, looked to Kelly like arms reaching out to welcome her. Kelly could see most of the island's residents (then 264 people) waving, including her mother and father, Marina and Sean Burns. Her father had been sent to the island, a British Overseas Territory , to serve as its administrator. He persuaded his reluctant 22-year-old daughter to visit, though Kelly, living in Britain, was more interested in clubs than remote islands. Kelly remembers him saying: “You have to come out, because you'll never get the chance again.” 2,236 miles to São Paulo 6,167 miles to London Edinburgh of the Seven Seas Tristan DA Cunha 1,738 miles to Cape Town Tristan da Cunha 2,236 miles to São Paulo 6,167 miles to London Edinburgh of the Seven Seas Tristan DA Cunha 1,738 miles to Cape Town Tristan da Cunha 2,236 miles to São Paulo 6,167 miles to London Edinburgh of the Seven Seas Tristan DA Cunha 1,738 miles to Cape Town Tristan da Cunha Sources: Copernicus Sentinel-2 (satellite image); NASA Shuttle Radar Topography Mission (relief); OpenStreetMap (roads and houses). Adina Renner/The New York Times Among the men who helped carry her bags off the boat was Shane Green, 21. They met again that night at the island's only pub. They danced. Kelly went home after six weeks. The first night back in Cape Town, South Africa, where most ships leaving Tristan travel to, her hotel phone rang. It was Shane. They talked every night for months. That was in 2012. Two years and several visits later, Kelly made the decision that would change her life: She moved to Tristan and became the first woman in over a century to settle there for good. The last had been three Irish sisters , in 1908. Tristan was first sighted in 1506 by Tristão da Cunha, a Portuguese naval commander. Britain annexed the island in 1816 and set up a garrison for a year. A Scottish corporal stayed behind with his wife, their two children and two English stonemasons. That was the beginning of the community that lives there today. Only 220 people now call it home, down from a peak of 300 in 1993. In the past three years, there have been 21 deaths and only six births. A few islanders have emigrated over the years. Before settling on Tristan, Kelly's life had been defined by travel. As a diplomat's daughter, she had moved every few years — Antigua, Bangladesh, Senegal, Kenya — then became a flight attendant. Shane had never lived anywhere but Tristan. Where Kelly could describe the color of the sand on a beach in Mombasa, Shane knew every cove and gulch of his island and could explain, in great detail, the safest way from Green Hill to the beach called Down-Where-The-Minister-Landed-His-Things. Part of what made it easier was that she and Shane, despite their very different lives, grew up watching the same British TV shows, which Kelly's father had taped and brought to the island. Living on an isolated island requires residents to be rather social — to pitch in for the common good, wear multiple hats, work long days and make their own fun. Before Kelly moved in with Shane, he took her to dig potatoes, clean tripe and gut fish. He was impressed by how quickly she adapted. She said, “If I didn't want to get my fingernails dirty, we wouldn't have worked out.” The couple married soon after and have a daughter, Savanna, 12, and a son, Seren, 5. On Tristan, directions come in the form of “Up by Martha's” or “Past Ricky's.” Kelly and Shane's home, which Shane built as an addition onto his grandparents' cottage, sits at the top of the village. When Kelly steps outside to hang laundry, she can see the vast expanse of the ocean stretch out before her. To her right lie the remnants of the 1961 volcanic eruption, a vast lava wall nearly 300 feet high that hems in Edinburgh, which residents call “the Settlement,” on its eastern side. Behind her, a giant cliff face closes off the sky above. There is little of the ambient hum that fills most inhabited places — no traffic or electrical thrum. Even the diesel generators that power much of the Settlement are only audible up close. At times it is quiet enough to hear the rush of wind under an albatross's wings, or the echo of a tumbling rock kicked loose by grazing sheep. When winter storms hit, the only sounds are the roar of the wind and the window-rattling boom of waves exploding against the cliffs. Salt spray fills the air and eventually streaks everything with rust. Most mornings, Kelly bakes bread and packs lunches before leaving by half past eight for her job as the island's Head of Tourism. At work, she might deal with a private yacht mooring offshore, sending her on a run of chores and errands — arranging tours, ferrying grateful guests to and from showers and washing their clothes. The next day might be spent fielding media questions, writing posts for the island's social media accounts, or, on Wednesdays, serving lunch for a small group of expatriates. Cruise season, from November to April, is her busiest time, when ships drop hundreds of ebullient and emotional passengers ashore if the harbor is calm enough to let them land. Some have waited years to visit. When a ship arrives, Kelly is down at the harbor, welcoming visitors with a clipboard and a walkie-talkie, making sure the islanders who've signed up as taxi drivers for the day, Shane among them, are ready, and the volcano walking tour sets off on time. Shane works as a carpenter for the Public Works Department. He also fishes out of one of the bright orange lobster boats, the Verkenner, which he operates with his fishing partner, Steve Swain — part of the small fleet owned by the single company permitted to operate in Tristan's waters. On fishing days, Shane is at his boat before dawn with Steve, tying frozen bait to traps by the light of their headlamps. They'll stay out all day and return around six in the evening, to find their daughters waiting with a cooler of homemade mutton pies and cans of soda. Tristanian children have unusually free rein on the island. In summer, Savanna spends a lot of time at the community pool across the road from the pub, running around with school friends, or dancing in the same hall where Kelly and Shane first danced, and their parents before them. Seren is more interested in helping his dad with the sheep and hammering nails into bits of wood with his friend Alfie. Seren and his sister both love the island's black sand beaches, and ducking in to see their grandparents, whose doors, like most on Tristan, are always left unlocked. One of the island's few predictable moments of excitement is the arrival of a supply ship — they call about 10 times a year — bringing returning islanders, new cars, the odd visitor and the Christmas presents Kelly ordered months in advance. For a few precious days, Kelly can find Tristan's supermarket shelves stocked with plums, grapes and heads of iceberg lettuce. She has to be quick, though, because the appearance of fresh produce triggers something like a doorbuster-sale. The farthest Kelly and Shane travel regularly is to the Patches, a cluster of small stone-walled plots two and a half miles west of the Settlement, where Tristanians have grown potatoes, pumpkins and cabbages for more than a hundred years. The family's 24 “patches” sit inside a mosaic of low volcanic stone walls and wire fencing, built to keep the island's cows out. Antarctic terns nest in the cracks of the walls and divebomb anyone who strays too close. Shane is proud of his potatoes, varieties with names like White Blossoms, Smooth Skins and Americans. In a good year, the family digs up more than they know what to do with, the children sorting the harvest by size into old shopping baskets as their grandparents look on. The couple uses their nearby camping hut, the closest thing to a summer cabin on the island, for a weekend getaway from the Settlement's hustle and bustle. There is no internet and no electricity beyond a few solar bulbs. The ocean is just a few minutes' walk away. Leaving Tristan is difficult, and getting back is even harder. The two ships that call regularly carry just twelve berths each, with priority given to government officials and islanders needing medical treatment. Only the SA Agulhas II, a South African research vessel, which calls at Tristan once a year, has more spaces, but those fill up quickly too. A vacation abroad is nearly impossible: Kelly's family alone would take four of those spaces. The only other chance is a passing cruise ship, and those cabins cost more than most islanders can afford. Kelly last left the island in 2023, for her father's funeral. Sean had suffered a series of strokes while serving an unexpected third term as administrator on the island. No ship was close enough to reach Tristan quickly, so the RV Meteor, a German research vessel working in the region, was dispatched. It took several days to arrive. Sean was carried aboard, and the ship immediately turned for Cape Town. Although his wife, Marina, was able to accompany him, there was not enough room for Kelly. Sean died during the crossing, somewhere in the South Atlantic. Kelly has the exact coordinates tattooed on her left arm. After her father's funeral, Kelly returned to Tristan. But she worried that her mother felt lost without him. Marina and Sean had spent 40 years together, moving from posting to posting, and Marina had worked as a teacher at each of them. So, when a position opened at St. Mary's School in 2025, Kelly suggested that Marina take it. She did. For Kelly, memories of Sean are everywhere: She keeps some of his ashes in a small wooden canoe he brought from a trip to Senegal; the community named a traditional longboat “Sean B.” in his honor; her children go to school opposite the Residency where her father lived; and islanders still stop Kelly to tell her what a popular administrator he was. “Raising a family here is amazing,” Kelly said, but she always reminds Savanna and Seren that there is also a world beyond Tristan. “There is life to experience before you decide what you want to do.” Shane wants his children to study off the island if they choose to, but he is just as intent on teaching them to splice rope, plant potatoes, or catch fish from the beach — skills they can fall back on if they decide to stay.
2026-10-25 -
How to watch the men's Almaty Open: Streaming options for the Final
How to watch the men's Almaty Open: Streaming options for the Final New York Times (Online) Data Skrive Nikoloz Basilashvili (No. 128 in world) will meet Daniil Medvedev (No. 5) on October 25 at the men's Almaty Open, in Almaty, Kazakhstan. This watch guide was created using technology provided by Data Skrive. Betting/odds, ticketing and streaming links in this article are provided by partners of The Athletic. Restrictions may apply. The Athletic maintains full editorial independence. Partners have no control over or input into the reporting or editing process and do not review stories before publication. Photo: Clive Brunskill, Carl De Souza, Filipe Amorim, Valery Hache / Getty Images
2026-10-25 -
Maple Leafs bring great vibes, plenty of goals in rout of Oilers: Observations
Maple Leafs bring great vibes, plenty of goals in rout of Oilers: Observations New York Times (Online) Joshua Kloke EDMONTON — After an up-and-down start, the Toronto Maple Leafs are slowly finding their way. A thrilling win over the New York Rangers on Thursday was followed by arguably their biggest win of the season to date; against the Edmonton Oilers, one of the NHL's best teams by points percentage entering the game, the Leafs got goals from five different players and shut down Connor McDavid in a 7-2 win. It was another step from the offensively-driven Leafs to separate themselves from last year's team. They dominated the Oilers, keeping the puck away from them most of the night. Their puck play and consistency shift to shift was the key to the win. And that win kept the vibes high: the Leafs now have four regulation wins in a row. That's a streak they never managed to hit last season. Here's everything we saw from the win. At the time, the explanation for why Anthony Stolarz got his second start in goal in three games after Sergei Bobrovsky had a full day off practice on Friday, ahead of a massive Saturday night game, was … well, not convincing. “Just a decision,” Leafs head coach Jim Hiller said before the game. The Oct. 13 loss in which Stolarz allowed five goals has still hung over him in the week and a half since. But his play against the Oilers? A peak in a season of peaks and valleys. Stolarz held down the fort with some of his most aggressive play all season. He stopped 30 of 32 shots. Stolarz looked remarkably confident against the Oilers. His positioning was excellent, cutting off shooter's angles well and owning every inch around his net. It's hard not to appreciate the little jabs he gave to Oilers in response to their rushes. Let's not forget Stolarz has been very strong against the Oilers over the last two seasons with the Leafs: he has two wins in his last two starts, allowing just five goals and ripping off a .924 save percentage. The Leafs gave Bobrovsky a scheduled day off from practice Friday, which only suggests they're very aware of his usage and want to manage how he gets through a long season. If the Leafs can get more performances like the one Stolarz put up against the Oilers, they could be on track for more balance in goalie starts. “We have a lot of belief in both of those goaltenders,” Hiller said, “and I'm glad we have them as a tandem.” It's always worth circling the date when Auston Matthews and Connor McDavid face off. Yes, McDavid kept his incredible 11-game point streak to start the season alive with two assists to make it 33 points in those 11 games. But Matthews' rocket of a goal off a perfect Easton Cowan pass gave the Leafs a two-goal lead they never relinquished, a momentum swing that felt like it propelled the Leafs. Even after Matthews took some serious cross checks, he skated well and fought through the Oilers' best defenders. Matthews is starting to put together one of his best seasons in Toronto. Buckle up, it could be fun to watch along. The Leafs are getting a lot out of Troy Stecher lately. The bottom-four defenceman's second-period goal gave the Leafs a commanding 3-0 lead and was his second goal in as many games. That's the first time in Stecher's career he racked up goals in back-to-back games. The extra offence is certainly welcome. Stecher picked his spots well against the Oilers and moved through every area of the ice with swagger. But it's the swagger he shows beyond when he's scoring that might be more impactful. After an ugly year for the Leafs, Stecher's upbeat attitude has been part of what's galvanized the team. Watch him during a game: he's in teammates' ears with what seems like positive reinforcement. He's a hound on pucks, which can raise his teammates' play. He's playing with all kinds of happiness. And against the best team in hockey (at least according to win percentage) the Leafs showed up happy too. They're jumping in the air to celebrate goals. They're screaming words of encouragement after each other's goals. These are not things we saw a lot of last season. But the vibes with these Leafs feel different. Better. Goals are bouncing off Zack MacEwen and going in. Vinny Lettieri is scoring with ease, as he did with less than a minute left in the game. Lettieri, all 5-foot-10 of him, fought 6-foot-4 Oilers defenceman Connor Murphy because that's the way these Leafs roll now, apparently. William Nylander continues to score at will, too: he got two goals on the night. But zoom out and Stecher is one reason why things feel more positive. Was this the most fun the Leafs looked all season? “I've really embraced being a Maple Leaf,” Stecher said earlier this week. “It's more than just us 20 in here. It's a big-time fan base, and I feel fortunate to be a part of it.” Somewhat quietly, Jack Roslovic has had a strong start to his Maple Leafs tenure. As of Saturday, the right winger was among the league leaders in points by a player on a new team. After a greasy net-front goal to open the scoring and a secondary assist on Matthews' first-period goal, Roslovic finished the night with 12 points in his first 13 games of the season. The ability to produce as part of his all-round game with the puck was evident against the Oilers. And it was a reminder of why he's such a good fit alongside Matthews on the top line. There's still some questions about his defensive detail and effort. But Roslovic's stellar offensive play against his former team — he spent last season in Edmonton after signing as a free agent — was a reminder of why the Leafs took a chance on him as one of their more notable free-agent signings. He won't be leaving the top line any time soon.
2026-10-25
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