Blake AtkinsonUsing Gzip and Bag-of-Words to Rate College Football TeamsStealing signal from NLP methods·7 min read·Aug 16, 2023----
Blake AtkinsoninTowards Data ScienceUsing Symbolic Regression to Add Uncertainty to Elo’s Famous Ratings SystemAnd creating an unexpectedly useful ratings algorithm·12 min read·Jul 6, 2023----
Blake AtkinsonChatGPT listened to hours of podcasts, and then gave me the winning Belmont Stakes Pick 5 TicketAI will probably ruin Sports Gambling·5 min read·Jun 20, 2023----
Blake AtkinsoninTowards Data ScienceNFL Play Calling vs. ExpectationWhich coaches and quarterbacks have the biggest influence to pass/run splits?·13 min read·Feb 2, 2020--2--2
Blake AtkinsoninTowards Data ScienceCreate Your Own NFL Touchdown Props with PythonStatistical framework for modeling discrete events with Poisson distributions·12 min read·Jan 21, 2020--5--5
Blake AtkinsoninTowards Data ScienceGuide to Building a College Basketball Machine Learning Model in PythonLet’s compare a neural net performance to Vegas line accuracy.·13 min read·Dec 12, 2019--2--2
Blake AtkinsonWhat’s the Best Fantasy Point Scoring System to Reflect Actual Play?Using Win Probability Added to Determine League Scoring Rules·9 min read·Aug 16, 2019----
Blake AtkinsoninTowards Data ScienceVisualizing Different NFL Player StylesDifferent players have different strengths and weaknesses — is there a way to visualize them?·12 min read·Aug 8, 2019--1--1
Blake AtkinsoninTowards Data ScienceThe 2018 Kansas City Chiefs and an Explosiveness Metric in FootballHow do we quantify explosiveness?·8 min read·Aug 2, 2019--2--2
Blake AtkinsoninTowards Data ScienceRun More Trick PlaysAn analysis of NFL trick plays, 2009–2019, inspired by Mohamed Sanu·10 min read·Jul 30, 2019--1--1
