Breanna Stewart's double-double, Caitlin Clark's emergence off bench help US to World Cup win over France USC fans trade punches with one another in the stands because winning sometimes isn't enough FIBA Secretary General Andreas Zagklis speaks out on Caitlin Clark's impact on growth of World Cup'Team Mom' Alison Lee completes largest comeback in Solheim Cup history for Team USA to cap off unbeaten week Texas coach Steve Sarkisian's awkward ESPN interview divides internet during team's win over Ohio State'RedZone' returns for 18th season and, despite 15-second commercials, could still be on in the White House Dan Dakich says women might be the reason for Nike's downfall: 'They p----d them off' Rep. Tom Tiffany escaped sinking plane in Wisconsin, suffered minor injury Trump is the only guy who can motivate'low propensity voters' at scale: GOP lawmaker El-Sayed is not a'great candidate' for Michigan: Mollie Hemingway This is a'change election' for Minnesotans, Michele Tafoya says'Totally legitimate' to be concerned about AI: Mollie Hemingway Andrew Yang weighs in on AI, Trump's proposed dividend checks Byron Donalds voices concerns over Trump's proposed dividend checks Byron Donalds voices concerns over Trump's proposed dividend checks Trump sends message to GOP voters: 'Pretend I'm on the ballot' Tyler Shough's pass to rookie Bryce Lance was broken up at Ford Field, sealing a hard-fought Week 1 victory Cowboys ' vicious' with Ceedee and Pickens, Will Jalen Hurts beat expectations this season? Cam Jordan joins Nick Wright, Chris Broussard, and Kevin Wildes to discuss the future of the New Orleans Saints and QB Tyler Shough, playing at a high level at 37-years-old, and the return of Aaron Donald. Plus, the FTF crew discusses the Dallas Cowboys being vicious with Ceedee Lamb and George Pickens, and if Jalen Hurts can surpass expectations this season. The Detroit Lions needed overtime and a moment of stellar defense to avoid a franchise-worst collapse against the New Orleans Saints to begin their 2026 NFL season. What appeared to be a comfortable path to a Week 1 win became a contested, back-and-forth affair, with the Saints pushing the game to overtime after Juwan Johnson hauled in a touchdown with 1:07 remaining in the fourth quarter.

Breanna Stewart's double-double, Caitlin Clark's emergence off bench help US to World Cup win over France USC fans trade punches with one another in the stands because winning sometimes isn't enough FIBA Secretary General Andreas Zagklis speaks out on Caitlin Clark's impact on growth of World Cup'Team Mom' Alison Lee completes largest comeback in Solheim Cup history for Team USA to cap off unbeaten week Texas coach Steve Sarkisian's awkward ESPN interview divides internet during team's win over Ohio State'RedZone' returns for 18th season and, despite 15-second commercials, could still be on in the White House Dan Dakich says women might be the reason for Nike's downfall: 'They p----d them off' College football's chaos era is here: Texas rallies, Oregon falls and Lane Kiffin eyes return to Ole Miss Trump is the only guy who can motivate'low propensity voters' at scale: GOP lawmaker El-Sayed is not a'great candidate' for Michigan: Mollie Hemingway This is a'change election' for Minnesotans, Michele Tafoya says'Totally legitimate' to be concerned about AI: Mollie Hemingway Andrew Yang weighs in on AI, Trump's proposed dividend checks Byron Donalds voices concerns over Trump's proposed dividend checks Byron Donalds voices concerns over Trump's proposed dividend checks Trump sends message to GOP voters: 'Pretend I'm on the ballot' The legendary coach said on College GameDay that'some losses are better than some wins' after a wild Week 2 When I think a Texas skill, I think a first round draft picks, I think I think, you know, explosive running backs just ripping through tackles. I think of, you know, great wide outs that are going to be high draft picks. They didn't, they weren't open last year against Ohio State. So, you can blame Arch Manning all you want that opening loss to Ohio State which is fine. There is no one open.

The Premier League season might be long-forgotten already - but we're definitely still in the window where bragging about how well you did in fantasy football is just about acceptable. Plenty of people will have been frantically checking the app on Sunday to see if they'd beaten friends, family or colleagues and topped their mini leagues. Someone who was refreshing a little more than most is 23-year-old Everton fan Erik Ibsen. But the Danish medical student managed to hold on to his lead to be crowned the Fantasy Premier League (FPL) champion - in his first season playing the game. Ibsen only started playing because his sister was doing a work league and wanted some help, which turned into him picking his own team for sibling rivalry.

Is AI taking the fun out of fantasy football? For years, fantasy football has given every armchair manager the space to back up claims they could do a better job than the real thing. Whether you're competing against workmates, family members or strangers, the ability to pull together your own dream team is irresistible to millions of football fans. The competitive pastime has spawned a whole industry of content creators offering weekly tips for anyone looking to gain an edge as they sift through stats and manage transfers. Recently, more players have been turning to Artificial Intelligence (AI) tools for advice - but not everyone agrees they have a place in the virtual dugout.

Super Bowl champion Nick Foles told Fox News Digital in a recent interview that he credits AI for getting him into fantasy football since he retired from the NFL.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. Now that he's a former NFL player, Donald Driver is allowed to play fantasy football, and he's loving every second of it. The Green Bay Packers legend played 14 seasons, all while calling Lambeau Field his home, and if he could, he probably would have picked himself plenty of times for his fantasy team. Driver had seven seasons of at least 1,000 yards, including six straight from 2004 to 2009.

Fantasy sports allow fans to manage a team of their favorite athletes and compete with friends. The fantasy platform aligns the real-world statistical performance of athletes to fantasy scoring and has steadily risen in popularity to an estimated 9.1 million players per month with 4.4 billion player card views on the ESPN Fantasy Football platform from 2018-2019. In parallel, the sports media community produces news stories, blogs, forum posts, tweets, videos, podcasts and opinion pieces that are both within and outside the context of fantasy sports. However, human fantasy football players can only analyze an average of 3.9 sources of information. Our work discusses the results of a machine learning pipeline to manage an ESPN Fantasy Football team. The use of trained statistical entity detectors and document2vector models applied to over 100,000 news sources and 2.3 million articles, videos and podcasts each day enables the system to comprehend natural language with an analogy test accuracy of 100% and keyword test accuracy of 80%. Deep learning feedforward neural networks provide player classifications such as if a player will be a bust, boom, play with a hidden injury or play meaningful touches with a cumulative 72% accuracy. Finally, a multiple regression ensemble uses the deep learning output and ESPN projection data to provide a point projection for each of the top 500+ fantasy football players in 2018. The point projection maintained a RMSE of 6.78 points. The best fit probability density function from a set of 24 is selected to visualize score spreads. Within the first 6 weeks of the product launch, the total number of users spent a cumulative time of over 4.6 years viewing our AI insights. The training data for our models was provided by a 2015 to 2016 web archive from Webhose, ESPN statistics, and Rotowire injury reports. We used 2017 fantasy football data as a test set.

Fantasy Premier League (FPL) performance predictors tend to base their algorithms purely on historical statistical data. The main problems with this approach is that external factors such as injuries, managerial decisions and other tournament match statistics can never be factored into the final predictions. In this paper, we present a new method for predicting future player performances by automatically incorporating human feedback into our model. Through statistical data analysis such as previous performances, upcoming fixture difficulty ratings, betting market analysis, opinions of the general-public and experts alike via social media and web articles, we can improve our understanding of who is likely to perform well in upcoming matches. When tested on the English Premier League 2018/19 season, the model outperformed regular statistical predictors by over 300 points, an average of 11 points per week, ranking within the top 0.5% of players rank 30,000 out of over 6.5 million players.

Millions of ESPN Fantasy Football players are rolling into week 13 of the NFL hoping to survive injuries and bye weeks on their way to the playoffs. But starting last season, players could also count on the trusty advice of Watson, IBM's artificial intelligence platform, in times of need. ESPN's Daniel Dopp, co-host of "The Fantasy Show with Matthew Berry" on ESPN, sat down with IBM Master Inventor Aaron Baughman at the IBM Innovation Lab in New York City to discuss Watson's foray into the arcane science of fantasy football. "It helps to have a compromise between the heart and the brain. We trained Watson on millions of fantasy football stories, blog posts and videos. We taught it to develop a scoring range for thousands of players with their upsides and their downsides. And we taught it to estimate the chances a player will exceed their upside or fall below the downside," Baughman said.

I don't do Fantasy Football but if I did, I would probably look to #AI to give me an unfair advantage. Winning in Fantasy Football with help of AI? See how the experts @IBM built ESPN's Fantasy Football Application at the Digital Developer Conference: AI & Cloud https://lnkd.in/eh4nY4a