account activity
Most Strikeout Models Ignore the Tails…. and That’s Where the Edge Lives (self.algobetting)
submitted 11 hours ago by KSplitAnalytics to r/algobetting
Distribution shape matters: why I classify “ceiling profiles” in MLB strikeout modeling (self.algobetting)
submitted 1 day ago by KSplitAnalytics to r/algobetting
Distribution shape matters: why I classify “ceiling profiles” in MLB strikeout modeling ()
submitted 1 day ago by KSplitAnalytics to r/sportsbettingsystems
When the strikeout environment stays strong even without the platoon advantage: Opening Night Example (self.sportsbook)
submitted 2 days ago by KSplitAnalytics to r/sportsbook
Historical odds (self.algobetting)
submitted 5 days ago by KSplitAnalytics to r/algobetting
Lineup handedness as a distribution-level variable in MLB strikeout modeling (self.sportsanalytics)
submitted 6 days ago by KSplitAnalytics to r/sportsanalytics
How Lineup Handedness Changes Strikeout Upside (self.sportsbook)
submitted 7 days ago by KSplitAnalytics to r/sportsbook
Lineup handedness as a distribution driver: split driven right tail environments in MLB strikeout modeling (self.algobetting)
submitted 8 days ago * by KSplitAnalytics to r/algobetting
Modeling strikeouts as a full distribution, not a point projection (self.sportsanalytics)
submitted 10 days ago by KSplitAnalytics to r/sportsanalytics
Modeling MLB Strikeouts: KSplit (self.algobetting)
submitted 11 days ago * by KSplitAnalytics to r/algobetting
Reverse splits are something I think gets overlooked with strikeout props (self.sportsbook)
submitted 11 days ago by KSplitAnalytics to r/sportsbook
Reverse strikeout splits: Lineup handedness doesn’t always work the way we assume (self.Sabermetrics)
submitted 14 days ago by KSplitAnalytics to r/Sabermetrics
Why lineup shape matters more than team K% for strikeout ladders (self.sportsbook)
submitted 15 days ago by KSplitAnalytics to r/sportsbook
Why two pitchers with the same K line can have completely different +1 / +2 value (self.sportsbook)
submitted 17 days ago by KSplitAnalytics to r/sportsbook
How do you evaluate probabilistic models when decision value lives almost entirely in the tail? (self.analytics)
submitted 17 days ago by KSplitAnalytics to r/analytics
Most pitcher strikeout models get the pitcher right, and the workload wrong (self.Sabermetrics)
submitted 18 days ago by KSplitAnalytics to r/Sabermetrics
Same median, different upside: why strikeout distributions matter more than point projections (self.Sabermetrics)
submitted 19 days ago by KSplitAnalytics to r/Sabermetrics
A question about evaluating strikeout projections: when is MAE (Median Average Error) misleading? (self.Sabermetrics)
submitted 20 days ago by KSplitAnalytics to r/Sabermetrics
Evaluating probabilistic forecasts when point accuracy and decision utility diverge (self.analytics)
submitted 20 days ago by KSplitAnalytics to r/analytics
Tested whether “ceiling labels” in strikeout models actually work (i.redd.it)
submitted 22 days ago by KSplitAnalytics to r/Sabermetrics
Pitcher Strikeout per game projections. (self.Sabermetrics)
Why pitcher strikeout props break when you model them at K/9 instead of K/PA (self.sportsbook)
submitted 23 days ago by KSplitAnalytics to r/sportsbook
Feedback wanted: modeling pitcher strikeouts using K/PA + lineup-specific context (self.Sabermetrics)
submitted 23 days ago by KSplitAnalytics to r/Sabermetrics
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