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Issue One Hundred And Seventy-Three.
Okkulo's dark training environment has been shown to enhance soccer players' visual-motor skills, a concept being explored across various sports. Meanwhile, discussions around the Baseball Hall of Fame argue that an overreliance on WAR oversimplifies player evaluation, and research highlights that presenting time-series data visually boosts multimodal models' performance, while PFF and analyst predictions provide insights into key NFL divisional round matchups and strategies.
This Week's Lineup
Why Soccer Players Are Training in the Dark
Sports science company Okkulo has shown that its specially lit training environment can improve players’ visual-motor skills—and a growing number of sports are starting to test it out.
The Hall of Fame is about more than WAR
The overreliance on Wins Above Replacement (WAR) in Baseball Hall of Fame debates oversimplifies player evaluation, neglecting the broader criteria of record, ability, character, and contributions outlined in the Hall’s voting rules.
Unlocking the power of time-series data with multimodal models
Presenting time-series data as visual plots rather than raw numerical values significantly enhances multimodal models' performance on tasks like fall detection and activity recognition, leveraging their native visual reasoning capabilities for improved efficiency and accuracy.
NFL Playoff Predictions: Who Will Win in the Divisional Round?
One big question to track and reveal the model’s NFL playoff predictions for all four games of the divisional round.
PFF Grades and Data: Everything you need to know for every divisional round game
PFF's divisional round analysis highlights key matchups, player performances, and strategic insights, such as C.J. Stroud's intermediate passing success, Patrick Mahomes' deep-passing struggles, and team strengths and vulnerabilities that could shape each NFL playoff game.
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Unexpected Points Added is curated and maintained by Patrick Hayes.
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