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2026 Masters odds: Surprising PGA picks, predictions into Round 4 by golf model that nailed 16 majors
Mike McClure's model has simulated the final round of the Masters 10,000 times and revealed golf picks for Augusta National
Prediction: A Cheaper EV Could Be a Game Changer for Tesla's Business
The company hasn't said its last word.
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
Tyson Fury vs. Arslanbek Makhmudov odds, prediction: Picks for April 11 fight from proven boxing expert
Expert Josh Nagel reveals his boxing best bets for the April 11 Tyson Fury vs Arslanbek Makhmudov bout
White House warns staff against insider trading on prediction markets
The White House recently warned staff not to engage in insider trading on prediction markets and other platforms, according to a White House official.
Senator contacts leagues over 'gambling's ugly takeover'
As prediction markets expand partnerships with major U.S. sports leagues, a U.S. senator sent letters to six league commissioners Thursday raising concerns about "gambling's ugly takeover of sports."
NBA player prop picks, odds, predictions, free best bets: Model includes Deni Avdija on Friday, April 10
The SportsLine model has simulated every NBA game 10,000 times and revealed its best player prop bets
White House Warned Staff Not to Engage in Insider Trading Amid War With Iran
The directive came amid a surge of suspiciously well-timed trades on oil and prediction markets just ahead of crucial moments in the conflict.
When and why political leaders polarise rhetoric: Evidence from Twitter/X
Standard theories of electoral competition predict that politicians should converge toward the centre as elections approach. This column challenges this prediction, using 3.4 million tweets from 367 political leaders across 21 Western democracies. Rhetorical polarisation between populist and non-populist leaders rises sharply in the two quarters before an election and reverts to average levels once it is over. Both groups adopt a more emotionally direct communication style as elections near, but they increasingly talk about different topics. The findings suggest that social media turns electoral campaigns into an engine of political polarisation.
Recruit of the Week: A 300-pound limbo champion? Meet college football's next elite LT, Mark Matthews
Miami currently holds a 247Sports crystal ball prediction for the elite offensive line prospect, with LSU, Texas A&M and Georgia all in Matthews' final four as well
Masters 2026 odds, picks, predictions, props: Expert fading Tyrrell Hatton in best bets at Augusta National
SportsLine golf expert Brady Kannon just locked in his best bets for the 2026 Masters at Augusta National Golf Club with Tiger Woods and Phil Mickelson both not playing
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
From The Sports Desk: MLB predictions
The NBC News sports team forecasts the MVP, the Cy Young and Rookie of the Year races for the 2026 season.
Masters 2026 odds, picks, predictions, favorites: Expert fading Rory McIlroy at Augusta National
SportsLine golf expert David Bearman just locked in his predictions for the 2026 Masters at Augusta National Golf Club with Tiger Woods (personal) not in the field
College basketball transfer portal opens; Cade Horton to miss season; Masters player rankings, predictions
Plus stay-or-go NBA Draft decisions that will define college basketball's offseason
Polygon Labs in Talks to Raise Up to $100 Million for Payments Business
Polygon Labs, developer of the blockchain that underpins prediction market Polymarket and other crypto platforms, is in early talks with investors to raise as much as $100 million to build a new stablecoin payments business, according to people familiar with the talks. The funding discussions ...
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
2026 Masters odds, picks: Scottie Scheffler, Rory McIlroy predictions by model that nailed 4 straight winners
Picks for 2026 Masters golfers and the Masters favorite to win ahead of the year's first major at Augusta National
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
Masters 2026 odds, picks, predictions, favorites: Expert fading Rory McIlroy at Augusta National
SportsLine golf expert David Bearman just locked in his predictions for the 2026 Masters at Augusta National Golf Club with Tiger Woods (personal) not in the field
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
Masters 2026 odds, picks, predictions, favorites: Expert fading Rory McIlroy at Augusta National
SportsLine golf expert David Bearman just locked in his predictions for the 2026 Masters at Augusta National Golf Club with Tiger Woods (personal) not in the field
2026 Masters odds, picks: Scottie Scheffler, Rory McIlroy predictions by model that nailed 4 straight winners
Picks for 2026 Masters golfers and the Masters favorite to win ahead of the year's first major at Augusta National
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
Scientists just uncovered the secret behind nature’s “proton highway”
Scientists have zoomed in on how phosphoric acid moves electrical charges so efficiently in both biology and technology. By freezing a key molecular pair to extremely low temperatures, they found it forms just one stable structure—contrary to predictions. This structure relies on a specific hydrogen-bond network that may be universal in similar systems. The discovery helps explain how protons travel so quickly and could inspire better energy materials.
Appeals court allows Kalshi to continue offering sports bets despite NJ challenge
Court rules only federal law can govern prediction markets' contracts, but a dissent argues they are indistinguishable from sports bets.
PREVIEW | Sporting Cristal vs Cerro Porteño - team news, lineups, predictions
Sporting Cristal and Cerro Porteño face each other this Thursday at the of the Copa Libertadores. Sporting Cristal mark their 41st participation in the competition, whilst Cerro Porteño go into the...
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
2026 Masters odds, picks: Scottie Scheffler, Rory McIlroy predictions by model that nailed 4 straight winners
Picks for 2026 Masters golfers and the Masters favorite to win ahead of the year's first major at Augusta National
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
2026 Masters odds, picks: Scottie Scheffler, Rory McIlroy predictions by model that nailed 4 straight winners
Picks for 2026 Masters golfers and the Masters favorite to win ahead of the year's first major at Augusta National
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
Is Cade Cunningham playing today? Pistons vs Magic prediction, injuries
The Detroit Pistons will be shorthanded against the Orlando Magic on Monday, but the good news is they've already clinched the 1-seed.
Institute of Industrial Science, The University of Tokyo and George Mason University scientists mine past air temperature forecasts, lower cost with greater subseasonal prediction accuracy
Researchers at Institute of Industrial Science, The University of Tokyo and George Mason University‘s College of Science have developed a new method that improves air temperature forecasts one to five weeks in advance—without requiring additional model simulations.
2026 Masters odds, picks, field, date: Surprising PGA predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
Amid Trump support, prediction markets face political headwinds
Concerns about illegal gambling have prompted lawmakers to introduce proposals in Congress and the California Legislature to crack down on prediction markets, which are growing in popularity.
The GAA Social looks ahead to the championship
With the 2026 Ulster Senior Football Championship starting this weekend, The GAA Social is joined by Philly McMahon and Conor McManus to gather their predictions.
2026 Masters odds, picks, field, date: Surprising PGA predictions by golf model that's called 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
South Carolina vs UCLA prediction, national championship analysis, March Madness expert picks
Our March Madness experts analyze the National Championship matchup between No. 1 South Carolina vs No. 1 UCLA in the 2026 NCAA Tournament on April 5.
2026 Masters odds, picks, field, date: Surprising PGA predictions by golf model that's called 16 majors
Mike McClure's model has simulated the Masters 2026 10,000 times and revealed golf picks for Augusta National
1000 new African genomes added to global science
Wits-led AGenDA project sequenced 1,000+ African genomes, uncovering vast genetic diversity and novel variants. This helps correct Eurocentric bias in global datasets, improving disease prediction, treatment design, and ensuring African populations benefit from genomic medicine.
Federal government sues three states for trying to regulate prediction markets
All three states have sent cease and desist orders to such companies accusing them of engaging in illegal online gambling under state law.
UCLA vs Texas Final Four picks, bold predictions for women's March Madness
Our March Madness experts analyze the Final Four matchup between No. 1 UCLA vs No. 1 Texas in the 2026 NCAA Tournament on April 3.
College basketball All-Americans unveiled; Bill Self returning to Kansas; World Cup schedule, predictions
Plus significant movement in this week's NHL Power Rankings
Detroit Pistons final record prediction over last six games
Free Press sports writer Omari Sankofa II breaks down whether the Detroit Pistons can reach 60 wins in the 2025-26 season.
Prediction Markets Make a Bet Against Public Health
Opinion | Online prediction markets evade safeguards against gambling and risk normalizing addictive behaviors.
Robinhood distances sports sponsorships strategy from prediction markets
As Michael Jordan's 23XI Racing drives Robinhood-sponsored cars to the top of the NASCAR standings, fans can also use Robinhood's app to wager on race outcomes and other sporting events.
USC Big Ten ranking in one preseason prediction model unveiled
The new offseason SP+ rankings are out. See where USC landed in this first preseason measurement of the Big Ten's 18 programs:
Final Four predictions: AI picks winners of Illinois-UConn, Arizona-Michigan games
Here's how AI predicted both Final Four games of the 2026 Men's NCAA Tournament:
March Madness: Illinois vs. UConn predictions for Final Four
Predictions, odds and how to watch the Illinois vs. UConn game in the Final Four at Lucas Oil Stadium in Indianapolis.
How polling failures, gambling legalization and political gridlock paved the way for the explosive rise of prediction markets
While media outlets are signing deals with Polymarket and Kalshi for their insights into the wisdom of crowds, gamblers are pouncing on opportunities to wager on geopolitics and celebrity weddings.
Kosovo vs. Turkey World Cup playoff prediction, start time, how to watch today
Kosovo and Turkey meet Tuesday in the UEFA World Cup playoff final at Stadiumi Fadil Vokrri, with a spot in the 2026 FIFA World Cup at stake.
College Sports' New Legal Risks: Prediction Markets and NIL Fraud
A former prosecutor in a massive NCAA corruption case outlines college sports' potential legal issues with prediction markets and the NIL industry.
Predicting spring bloom is an art
Do you ever wish you could predict the future? The National Park Service in Washington D.C. does it every year when they forecast when the Capitol’s cherry blossoms will reach peak bloom. People travel from all over the world to enjoy the annual National Cherry Blossom Festival and to glimpse these fragile flowers before they are gone. On this month’s Nature Quest, we learn the ins and outs of cherry tree blossoms, how scientists make that big prediction every year — and why all this focus on blooms can help scientists better understand climate change. This episode is part of Nature Quest, our monthly segment from listeners noticing a change in the world around them. To participate, send a voice memo to shortwave@npr.org with your name, location and your question about a change you're seeing in nature!Want to learn more about nature’s calendar? Check out our first Nature Quest episode on whether flowers are blooming early.Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.
Source: Feds probing prediction market bets that predicted US actions
Exclusive: Federal prosecutors are exploring whether prediction market bets trip insider trading laws
Federal prosecutors in Manhattan are exploring whether certain lucrative bets placed on prediction markets have violated insider trading and other laws, multiple sources told CNN.
How Palantir's Artificial Intelligence (AI) is Becoming a Sports-Betting Watchdog
Palantir is using artificial intelligence (AI) to help prevent manipulation on prediction markets platforms.
How Michigan leaders should rethink strategy amid uncertainty
Experts say leaders must shift from prediction to preparation, embedding foresight and crisis readiness to navigate constant uncertainty effectively.
Final Four predictions: Who will advance to 2026 National Championship?
Arizona, Illinois, Michigan and UConn are all that's left from the 68 teams who began March Madness. Check out our Final Four predictions.
Final Four predictions: Who will advance to 2026 National Championship?
Arizona, Illinois, Michigan and UConn are all that's left from the 68 teams who began March Madness. Check out our Final Four predictions.
Duke vs. UConn odds, March Madness predictions, time: 2026 NCAA Tournament Elite Eight picks by proven model
SportsLine's model has revealed its UConn vs. Duke picks for the 2026 March Madness Elite 8 game on Sunday
2026 Cook Out 400 predictions, odds, start time: NASCAR at Martinsville picks, best bets by proven model
Best bets for NASCAR at Martinsville as the 2026 Cook Out 400 unfolds on Sunday with Tyler Reddick atop the Cup Series standings
Utah Sen. John Curtis helps lead push to ban sports betting contracts on prediction markets
Curtis and Schiff’s bill has support from the Indian Gaming Association and the California Nations Gaming Association
Duke vs. UConn game preview, prediction (NCAA Tournament Elite Eight)
Previewing and prediction the matchup between No. 1 seed Duke and No. 2 seed UConn in the Elite Eight.
CBS Sports provides latest prediction on where Makai Lemon will land
The Rams and Makai Lemon are a perfect fit. If they team up, that could give the Rams another All-Pro receiver and lift them past the Seahawks
Letters to Sports: Bill Plaschke's Dodgers prediction is a winner
Readers of the L.A. Times Sports section give their thoughts on the Dodgers and Bill Plaschke's prediction they won't win another World Series (hint, they like it).
Is Cade Cunningham playing today? Pistons vs Timberwolves prediction, injuries
Detroit Pistons vs Minnesota Timberwolves prediction, TV channel, injury report and more with Cade Cunningham and Anthony Edwards ruled out.
Michigan vs. Alabama odds, March Madness predictions: 2026 NCAA Tournament Sweet 16 picks from proven model
SportsLine's model has revealed its Alabama vs. Michigan picks for the 2026 March Madness Sweet 16 game on Friday
Duke vs. St. John's odds, March Madness predictions: 2026 NCAA Tournament Sweet 16 picks from proven model
SportsLine's model has revealed its St. John's vs. Duke picks for the NCAA Tournament 2026 Sweet 16 game on Friday
Are insiders profiting from prediction markets over the Iran war?
And does that threaten US national security?
Prediction market bets on sports, election, war would be verboten under new legislation
Lawmakers have introduced a flurry of measures to rein-in prediction markets in recent weeks, as the platforms have come under increased scrutiny.
House Democrat bans staff from betting on prediction markets, citing ethics concerns
Democratic Rep. Seth Moulton of Massachusetts has prohibited staffers from betting on prediction markets on areas such as politics and any information obtained in an official capacity.
March Madness 2026: Our experts reset their NCAA Tournament brackets with updated picks heading into Sweet 16
If your bracket is busted, you are not alone, so here's what our experts would do if given a chance to reset their predictions
Lawmakers ramp up fight against sports betting on prediction markets
The political battle over sports betting on prediction markets is heating up as professional leagues dive deeper into the national gambling frenzy. Lawmakers in both parties are attempting to stifl…
Iowa State vs Tennessee prediction, analysis, Sweet 16 expert picks for men's March Madness
Our March Madness experts analyze the Sweet 16 matchup between No. 2 Iowa State vs No. 6 Tennessee in the 2026 NCAA Tournament on March 27.
2026 Houston Open odds, picks: Surprising predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Texas Children's Houston Open 2026 10,000 times and revealed PGA best bets after Scottie Scheffler withdrew on Tuesday
2026 NBA Awards predictions: Most Valuable Player, Rookie of the Year and the awards races to watch down the stretch
MLB Opening Day 2026: Expert predictions for World Series champion, division winners, surprise playoff teams, Cy Young, MVP and more
2026 Houston Open odds, picks: Surprising predictions from golf model that's nailed 16 majors
Mike McClure's model has simulated the Texas Children's Houston Open 2026 10,000 times and revealed PGA best bets
MLB World Series predictions: Expert picks for 2026 champion, pennant winners
Here are the title predictions from our CBS Sports MLB staff for the 2026 season
Utah Sen. John Curtis helps lead push to ban sports betting contracts on prediction markets
Utah Sen. John Curtis and California Sen. Adam Schiff are leading a push to make clear that sports prediction markets are indeed gambling.
Rahm Emanuel says federal workers shouldn't bet on politics
Former Obama chief of staff and possible 2028 presidential candidate Rahm Emanuel is calling for a federal employee ban on prediction markets betting.
Bill introduced seeks to ban sports bets on prediction markets
A bipartisan Senate bill introduced Monday seeks to ban prediction markets from allowing transactions that mimic sports betting.
Exclusive: Kalshi to block athletes and politicians from trading on their markets
Prediction market Kalshi plans to block athletes, coaches and officials from betting on their sports and to block political candidates from trading on their campaigns, Axios has learned.
Bipartisan Senate bill would ban sports betting on online prediction markets
Bill was introduced in the Senate on Monday as prediction market companies face greater scrutiny on state level
2026 MLB standings predictions: Expert picks for every division, full projections as baseball season begins
Here are the predictions from our CBS Sports MLB staff for the 2026 season
Senators introduce bill to ban sports betting on prediction markets
The new bill would amend the Commodity Exchange Act to ban prediction contracts related to sports events or casino-style games.
Rahm Emanuel proposes banning all federal employees from betting on prediction markets
Spurs vs. Heat odds, prediction, time: 2026 NBA picks for Monday, March 23 from proven model
SportsLine's proven model has revealed its San Antonio Spurs vs. Miami Heat predictions and NBA picks today
Exclusive | Lawmakers to Introduce Bipartisan Bill Banning Sports Bets on Prediction Markets
A bipartisan pair of U.S. senators are introducing legislation to prohibit CFTC-regulated entities from listing contracts related to sporting events.
Ohio State vs Notre Dame predictions, picks, odds for NCAA Tournament Second Round
Our March Madness experts pick the winner for No. 3 Ohio State vs No. 6 Notre Dame in the 2026 women's NCAA Tournament on March 23
UConn vs Syracuse predictions, picks, odds for NCAA Tournament Second Round
Our March Madness experts pick the winner for No. 1 UConn vs No. 9 Syracuse in the 2026 women's NCAA Tournament on March 23
Rahm Emanuel proposes banning all federal employees from betting on prediction markets
Rahm Emanuel is proposing a far-reaching measure to crack down on betting in predictive markets in Washington as part of an effort to call attention to what he sees as a culture of corruption gripping the nation’s politics
Alabama vs. Texas Tech odds, time, March Madness predictions: 2026 NCAA Tournament picks from proven model
SportsLine's model has revealed its Texas Tech vs. Alabama picks for the NCAA Tournament 2026 second-round game on Sunday
Arizona vs Utah State live updates: Prediction, how to watch March Madness Round 2 game
Folks were gushing about Jerrod Calhoun and Utah State's offense in Round 1. Arizona is a whole different obstacle. Follow March Madness Round 2 game.