Soccer Analytics Tutorials 1. Data Extraction & Transformation Parsing raw StatsBomb data and storing it in a Pandas DataFrame 2. Linear Regression Examining the relationship between a player's pass volume and completion percentage 3. Logistic Regression Predicting the outcome of a shot given its features 4. Clustering Identifying different types of passes 5. Database Population & Querying Coming soon 6. XGBoost Classification Coming soon 7. Non-Negative Matrix Factorization Coming soon 8. Convolutional Neural Network Coming soon Soccer Analytics Research: A Framework for Tactical Analysis and ... by Sarah Rudd Large-Scale Analysis of Soccer Matches ... by Alina Bialkowski et. al Physics-Based Modeling of Pass Probabilities in Soccer by Will Spearman et. al. Data-Driven Ghosting using Deep Imitation Learning by Hoang M. Le , Peter Carr, Yisong Yue, and Patrick Lucey Beyond Expected Goals by Spearman Not All Passes Are Created Equal: ... by Paul Power et. all Wide Open Spaces: ... by Javier Fernandez and Luke Bornn Decomposing the Immeasurable Sport: ... by Fernandez , Bornn , and Dan Cervone Modelling the Collective Movement of Football Players by Francisco José Peralta Alguacil Actions Speak Louder than Goals: ... by Tom Decroos , Lotte Branson , Jan Van Haaren , and Jesse Davis Dynamic Analysis of Team Strategy in Professional Footbal by Laurie Shaw and Mark Glickman Ready Player Run: Off-ball run identification and classification by Sam Gregory Some Favorite Blog Posts Assessing The Performance of Premier League Goalscorers by Sam Green Counting Across Borders by Ben Torvaney Defending Your Patch by Thom Lawrence Pass Footedness in the Premier League by James Yorke Messi Walks Better Than Most Players Run by Bobby Gardiner Game of Throw-Ins by Eliot McKinley Expected Threat by Karun Singh Passing Out at the Back by Will Gürpinar-Morgan The 10 Commandments of Football Analytics by Tom Worville Breaking Down Set Pieces ... by Euan Dewar Data Based Coaching: ... by Kieran Doyle Coaches Reward Goalscorers ... by McKinley and John Muller github地址： https://github.com/devinpleuler/analytics-handbook