Blake AtkinsonUsing Gzip and Bag-of-Words to Rate College Football TeamsStealing signal from NLP methodsAug 16, 2023Aug 16, 2023
Blake AtkinsoninTowards Data ScienceUsing Symbolic Regression to Add Uncertainty to Elo’s Famous Ratings SystemAnd creating an unexpectedly useful ratings algorithmJul 6, 2023Jul 6, 2023
Blake AtkinsonChatGPT listened to hours of podcasts, and then gave me the winning Belmont Stakes Pick 5 TicketAI will probably ruin Sports GamblingJun 20, 2023Jun 20, 2023
Blake AtkinsoninTowards Data ScienceNFL Play Calling vs. ExpectationWhich coaches and quarterbacks have the biggest influence to pass/run splits?Feb 2, 20202Feb 2, 20202
Blake AtkinsoninTowards Data ScienceCreate Your Own NFL Touchdown Props with PythonStatistical framework for modeling discrete events with Poisson distributionsJan 21, 20205Jan 21, 20205
Blake AtkinsoninTowards Data ScienceGuide to Building a College Basketball Machine Learning Model in PythonLet’s compare a neural net performance to Vegas line accuracy.Dec 12, 20192Dec 12, 20192
Blake AtkinsonWhat’s the Best Fantasy Point Scoring System to Reflect Actual Play?Using Win Probability Added to Determine League Scoring RulesAug 16, 2019Aug 16, 2019
Blake AtkinsoninTowards Data ScienceVisualizing Different NFL Player StylesDifferent players have different strengths and weaknesses — is there a way to visualize them?Aug 8, 20191Aug 8, 20191
Blake AtkinsoninTowards Data ScienceThe 2018 Kansas City Chiefs and an Explosiveness Metric in FootballHow do we quantify explosiveness?Aug 2, 20192Aug 2, 20192
Blake AtkinsoninTowards Data ScienceRun More Trick PlaysAn analysis of NFL trick plays, 2009–2019, inspired by Mohamed SanuJul 30, 20191Jul 30, 20191