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Where to watch Knicks vs Spurs game 5: NBA Finals live stream, channel, odds, venue
The NBA Finals return to San Antonio for Game 5. We'll show you where to watch Knicks vs Spurs from anywhere.
2026 World Cup Odds: USA Win Equals 'Fruitful Day' For Bettors
The USA's performance to open the World Cup equaled a small nightmare for sportsbooks. Patrick Everson reports.
Where to watch New York Yankees vs. Toronto Blue Jays: Live stream, start time, TV channel, odds for Friday, June 12
The Yankees and Blue Jays face off in Toronto.
Texas Republicans press for local control over spread of AI data centers on first day of convention in Houston
The proposed language by the party’s Legislative Priorities Committee appears to have strong support from rural delegates, but it potentially stands at odds with the priorities of Gov. Greg Abbott and other state leaders.
CDC, Florida health officials at odds over hantavirus cruise ship passenger’s quarantine
One of the 18 passengers from the cruise ship MV Hondius says she feels like she’s being “held hostage” and just wants to go home.
United States World Cup 2026 Odds, Predictions & Best Bets
The World Cup 2026 is on home soil, the squad is named, and the nation is watching — but can the United States turn home advantage into a genuine deep run, and are the outright odds worth a punt?…...
Apple Made a Sports App That Does Almost Nothing. It’s Incredible.
There are no chatbots, betting odds, or videos. That’s what makes it perfect.
World Cup politics take center stage as sportsbook posts odds on protests, defections and Trump appearances
LOS ANGELES — The FIFA World Cup has always reflected more than just soccer.
What a study at odds with Trump officials’ health guidance found on alcohol limits
The federally commissioned report was published in the Journal of Studies on Alcohol and Drugs.
Apple Intelligence Can Change Your Passwords for You When You Get Hacked
Agentic AI and security are normally at odds, but this Apple Intelligence feature could be a lifesaver.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Best team in the National League debate, Tarik Skubal trying to defy the odds & Manny Machado’s questionable stance on analytics
Where to watch Boston Red Sox vs. Tampa Bay Rays: Live stream, start time, TV channel, odds for Monday, June 8
The Red Sox and Rays face off in St. Petersburg.
Where to watch Caitlin Clark, Indiana Fever vs. Washington Mystics: Live stream, start time, TV channel, odds for Monday, June 8
The Fever travel to DC to take on the Mystics on Monday night.
The Odds: Trump’s hometown
CNN News Central’s John Berman and Chief Data Analyst Harry Enten explore what the latest polling and prediction markets say about the President’s popularity in his hometown of New York City.
Where to watch San Francisco Giants vs. Chicago Cubs: Live stream, start time, TV channel, odds for Sunday, June 7
The Cubs and Giants play the third and final game of their series.
Where to watch Los Angeles Angels vs. Los Angeles Dodgers: Live stream, start time, TV channel, odds for Sunday, June 7
The Dodgers are looking to sweep their three-game series with the Angels.
Where to watch New York Mets vs. San Diego Padres: Live stream, start time, TV channel, odds for Sunday, June 7
The Mets wrap up their series with the Padres.
Where to watch Boston Red Sox vs. New York Yankees: Live stream, start time, TV channel, odds for Sunday, June 7
The Red Sox and Yankees meet in the latest chapter of their AL East rivalry.
Belmont Stakes 2026 list of horses, odds and post positions
Belmont Stakes 2026: See list of horses, odds and post positions. There are 9 horses scheduled to run.
Where to Watch Los Angeles Angels vs. Los Angeles Dodgers: Live stream, start time, TV channel, odds for Saturday, June 6
The Angels and Dodgers face off at Dodger Stadium on Saturday.
US rate futures raise rate hike odds in December after jobs data
U.S. interest rate futures on Friday increased the chances that the Federal Reserves will raise interest rates by the December policy meeting after a blockbuster payrolls number for May, which sharply exceeded market expectations.
2026 Memorial Tournament odds, picks: Surprising predictions by golf model that's nailed 17 majors
Mike McClure's model has simulated the Memorial Tournament 2026 10,000 times and revealed PGA picks this week
Super Bowl 61 odds: Los Angeles Rams move to clear Super Bowl favorites after Myles Garrett trade
2026 World Cup Quarterfinal Odds: Who Will Make the Round of 16??
Which squads are favored to make it to the knockout stage? See the latest odds.
Warriors, Lakers get more concerning Giannis Antetokounmpo trade news
The Golden State Warriors and Los Angeles Lakers' odds of acquiring the Milwaukee Bucks' star forward don't appear high.
2026 World Cup Odds: Who Will Be Team USA's Top Goal Scorer?
Which player from Team USA will be the top goalscorer for the Americans in the 2026 World Cup? Here are the latest odds.
DC Defenders vs. Orlando Storm - Live Score
View the DC Defenders vs. Orlando Storm game played on June 07, 2026. Box score, stats, odds, highlights, play-by-play, social & more
Louisville Kings vs. St. Louis Battlehawks - Live Score
View the Louisville Kings vs. St. Louis Battlehawks game played on June 07, 2026. Box score, stats, odds, highlights, play-by-play, social & more
FIFA World Cup 2026 odds: Futures picks, predictions, soccer best bets from proven expert
SportsLine's Martin Green reveals his FIFA World Cup 2026 picks, overall champion, group winners and top props
Cornucopian Convincing Winner Of Aristides
Cornucopian pressured early leader Mad House, put him away leaving the turn, and then withstood a challenge from five-time stakes winner Roll On Big Joe to win Saturday’s 38th running of the $263,500 Aristides (G3) by 1 1/4 lengths at Churchill Downs. Off as the odds-on 3-5 ...
2026 NBA Western Conference Finals odds, predictions: Spurs vs. Thunder Game 7 picks by expert who's 140-97
SportsLine's Mike Barner has revealed his San Antonio Spurs vs. Oklahoma City Thunder best bets for Game 7 of the WCF
2026 Stanley Cup Final odds: Carolina Hurricanes open as favorites against Vegas Golden Knights
PSG vs. Arsenal prediction, time, odds: 2026 UEFA Champions League final picks, best bets from top expert
SportsLine soccer expert Martin Green reveals his best bets for Saturday's UEFA Champions League final featuring PSG vs. Arsenal
Thunder vs. Spurs Game 7 predictions, odds: Expert picks with NBA Finals berth on the line
It's win or go home for the Thunder and Spurs on Saturday night as the Western Conference Finals wrap up with Game 7
2026 NBA Playoff Odds: Back Thunder to Cover in Winner-Take-All Game 7
Winner takes all in Game 7 of the Thunder-Spurs Western Conference finals matchup, and Will Hill is backing the defending champs. Here's why.
Where to watch Philadelphia Phillies vs. Los Angeles Dodgers: Live stream, start time, TV channel, odds for Friday, May 29
The Dodgers take on the Phillies.
De Niro look-alike Vinny Magliulo will be inducted into the Sports Gambling Hall of Fame
“He has added class to an industry sorely lacking in it,“ Vegas legend and fellow Hall of Famer Roxy Roxborough said.
Where to watch Oklahoma City Thunder vs. San Antonio Spurs Game 6 NBA playoffs: Live stream, start time, TV channel, odds for Thursday, May 28
The Thunder will try to eliminate the Spurs in Game 6 of the Western Conference finals.
Jannik Sinner's loss at Roland Garros is one of the biggest sports betting upsets ever, by the odds
Ireland vs Qatar: How to Watch, Prediction, Odds, Friendly Preview
Republic of Ireland faces Qatar in an international friendly. Here’s how to watch, team form, betting odds and more.
Minnesota Twins vs. Athletics - Live Score
View the Minnesota Twins vs. Athletics game played on August 25, 2026. Box score, stats, play-by-play timeline, highlights, odds & more
2026 World Cup Odds: Will There Be a First-Time Winner?
Can a new nation win the FIFA World Cup for the first time since Spain in 2010? Check out the latest odds.
Montevideo Wanderers vs. Danubio - Live Score
View the Montevideo Wanderers vs. Danubio game played on June 05, 2026. Box score, stats, play-by-play timeline, highlights, odds & more
Where to watch Colorado Rockies vs. Los Angeles Dodgers: Live stream, start time, TV channel, odds for Tuesday, May 26
The Rockies take on the Dodgers in Los Angeles.
Where to watch Cincinnati Reds vs. New York Mets: Live stream, start time, TV channel, odds for Tuesday, May 26
The Reds take on the Mets in New York.
2026 MLB Odds: Are Yankees Best Bet To Win AL East?
Even though the Yankees have been an up-and-down squad all season, Will Hill believes they're still the best bet to win the AL East.
Soaring healthcare costs put California school districts and teachers at odds
California school districts are struggling to balance rising healthcare costs with declining enrollment and federal aid, leading to labor battles between teachers and districts over healthcare premiums.
2026 Charles Schwab Challenge odds, picks: Surprising predictions from golf model that's nailed 17 majors
Mike McClure's model has simulated the Charles Schwab Challenge 2026 10,000 times and revealed PGA best bets
With midterms looming, HHS and states at odds over cause of lagging Obamacare signups
Trump administration officials point to their work on fraud as the reason for dropoffs while states and insurers blame higher premiums.
Where to watch Cincinnati Reds vs. New York Mets: Live stream, start time, TV channel, odds for Monday, May 25
The Mets open their series against the Reds.
House and Senate Republicans are at odds over Trump’s ‘anti-weaponization’ fund
House and Senate Republicans were fuming as they left Washington last week for a long holiday break. The source of the torment, however, was notably different on each side of the Capitol, and the d…
Machida Zelvia vs. Nagoya Grampus - Live Score
View the Machida Zelvia vs. Nagoya Grampus game played on June 06, 2026. Box score, stats, play-by-play timeline, highlights, odds & more
Ranking the Superstar Trade Candidates Stuck on Losing Teams
Mike Trout? Tarik Skubal? Maybe even Paul Skenes? What are the odds some of these huge names will move this deadline?
Where to watch Oklahoma City Thunder vs San Antonio Spurs Game 4 NBA playoffs: Live stream, start time, TV channel, odds for Sunday, May 24
The Thunder and Spurs square off in Game 4 of the Western Conference finals.
2026 Indianapolis 500 odds, predictions, time, Indy 500 starting grid: Model gives surprising picks
Best bets for the Indianapolis 500 on Sunday from Indianapolis Motor Speedway with Alex Palou on the pole
Where to watch Los Angeles Dodgers vs Milwaukee Brewers: Live stream, start time, TV channel, odds for Sunday, May 24
The Dodgers finish their three-game series with the Brewers.
Where to watch New York Mets vs. Miami Marlins: Live stream, start time, TV channel, odds for Sunday, May 24
The Mets conclude their three-game series with the Marlins.
2026 NBA Eastern Conference Finals odds, predictions: Knicks vs. Cavaliers Game 3 picks by expert who's 135-95
SportsLine's Mike Barner has revealed his New York Knicks vs. Cleveland Cavaliers best bets for Game 3 of the ECF
NBA player prop picks, odds: Three best 2026 NBA Playoffs prop bets for Knicks vs. Cavaliers, Game 3
SportsLine's model and team of experts have revealed top NBA props picks and NBA predictions for the NBA Playoffs on Saturday
Where to watch New York Mets vs. Miami Marlins: Live stream, start time, TV channel, odds for Saturday, May 23
The Mets face the Marlins in Miami.
Detroit Tigers vs. Baltimore Orioles - Live Score
View the Detroit Tigers vs. Baltimore Orioles game played on May 24, 2026. Box score, stats, play-by-play timeline, highlights, odds & more
Where to watch New York Knicks vs. Cleveland Cavaliers Game 3 NBA playoffs: Live stream, start time, TV channel, odds for Saturday, May 23
The Knicks and Cavaliers meet in Game 3 of the Eastern Conference finals.
Where to watch Los Angeles Dodgers vs. Milwaukee Brewers: Live stream, start time, TV channel, odds for Saturday, May 23
The Dodgers take on the Brewers in Milwaukee.
2026 Indianapolis 500 odds, predictions, time, date, Indy 500 starting grid: Model gives surprising picks
Best bets for the Indianapolis 500 on Sunday from Indianapolis Motor Speedway with Alex Palou on the pole
Thunder vs. Spurs odds, prediction: 2026 NBA Western Conference finals picks, Game 3 best bets by proven model
SportsLine's proven model has revealed its OKC Thunder vs. San Antonio Spurs NBA playoff best bets for Game 3 of the WCF
2026 MLB Odds: Back Up-And-Coming Brewers Ace for NL Cy Young
The NL Cy Young race is already a dogfight. But Will Hill sees a lesser-known name he likes to make a run at the award.
Thunder vs. Spurs odds, prediction: 2026 NBA Western Conference finals picks, Game 3 best bets by proven model
SportsLine's proven model has revealed its OKC Thunder vs. San Antonio Spurs NBA playoff best bets for Game 3 of the WCF
Odds stacked against hosts Fulham for Craven Cottage finale?
Can Fulham be effective against with their last game of the season at Craven Cottage Stadium on Sunday? Both sides have secured Premier League status next season, with the Whites sitting in 13th, level on points but two places behind the Magpies. Fulham have lost six of their past eight Premier League games against Newcastle, although the did manage the double over them last season.
2026 NFL Odds: Back Cowboys to Shine; Fade Cardinals' Win Total
FOX Sports betting analyst Geoff Schwartz has his sights set on two NFL win total bets he loves heading into the 2026 season.
Brendan Sorsby Faces Long Odds In Fight Against Permanent NCAA Gambling Ban
A former arbitrator of NCAA infractions cases says Texas Tech quarterback Brendan Sorsby faces an uphill fight trying to force the NCAA to stand down on enforcing the policy that permanently bans athletes who are found to have wagered on their own team.
Aaron Rodgers, Steelers Odds: How Will A-Rod's Final Season Shape Up?
Aaron Rodgers announced he has a single season left. How will that season shape up? Let's consider what the odds say.
2026 NASCAR Odds: Denny Hamlin Favored To Win Coca-Cola 600
Denny Hamlin is favored to win NASCAR's Coca-Cola 600 but could a long shot who's attempting The Double be worth a wager? Here are the odds.
2026 CJ Cup Byron Nelson odds, picks: Surprising predictions from golf model that's nailed 17 majors
Mike McClure's model has simulated the CJ Cup Byron Nelson 2026 10,000 times and revealed PGA best bets
2026 NBA Playoff Odds: Why Alex Caruso Is Best Bet To Win WCF MVP
Alex Caruso is a long shot to win Western Conference finals MVP but Will Hill believes his odds are worth a wager. Here's why.
2026 CJ Cup Byron Nelson odds, picks: Surprising predictions from golf model that's nailed 17 majors
Mike McClure's model has simulated the CJ Cup Byron Nelson 2026 10,000 times and revealed PGA best bets
‘The most daunting schedule I’ve ever seen’
Former Rams beat writer explains how LA faces uphill odds to Super Bowl
Trump targets political rivals ahead of midterms
Louisiana Senator Bill Cassidy, who’s been at odds with Trump, lost his primary this weekend. It comes as the president is targeting other political foes ahead of midterms, with another primary fight set for this week. NBC’s Julie Tsirkin reports.
Ronda Rousey vs. Gina Carano odds, picks, betting predictions, best sportsbook promos, MVP MMA 1 fight card
Here's a look at everything fans and bettors need to know about the bout between Ronda Rousey and Gina Carano
Preakness Stakes 2026 payout: How much did Napoleon Solo earn by claiming second Triple Crown race?
Bettors on Napoleon Solo won $17.80 on a $2 bet at 7-1 odds.
2026 Preakness Stakes horses, odds, time, predictions: Expert who hit 11 winners reveals horse racing picks
Jody Demling, who has called 11 Preakness winners, reveals his 2026 Preakness Stakes picks with Golden Tempo not running
Preakness Stakes 2026 predictions, odds, time, horses: Top win, place, show, trifecta and superfecta bets
Jody Demling has revealed his win, place and show picks for the Preakness Stakes 2026 on Saturday, May 16
2026 Preakness Stakes horses, odds, predictions, time: Expert who hit 11 winners reveals horse racing picks
Jody Demling, who has called 11 Preakness winners, reveals his 2026 Preakness Stakes picks with Golden Tempo not running
Ronda Rousey vs. Gina Carano odds, picks, betting predictions, best sportsbook promos, Saturday MMA fight card
Here's a look at everything fans and bettors need to know about the bout between Ronda Rousey and Gina Carano
Preakness Stakes 2026 live updates: Horses, post time, odds, payouts and more from second leg of Triple Crown
2026 Preakness Stakes horses, odds, predictions, post time: Expert who called 11 winners reveals picks
Jody Demling, who has called 11 Preakness winners, reveals his 2026 Preakness Stakes picks with Golden Tempo not running
Preakness Stakes 2026 predictions, odds, horses: Win, place, show, exacta, trifecta, superfecta best bets
Jody Demling has revealed his win, place and show picks for the Preakness Stakes 2026 on Saturday, May 16
2026 Preakness Stakes horses, odds, predictions, post time: Expert who called 11 winners releases picks
Jody Demling, who has called 11 Preakness winners, reveals his 2026 Preakness Stakes picks with Golden Tempo not running
2025-26 NBA Playoff Odds: Spreads, Lines for Conference Finals
The NBA playoffs are down to just a handful of teams. Check out the odds for the conference finals.
Preakness Stakes 2026 predictions, odds, horses, time: Win, place, show, exacta, trifecta, superfecta bets
Jody Demling has revealed his win, place and show picks for the Preakness Stakes 2026 on Saturday, May 16