Data Sandbox #8: Expected Passes – An Introduction
T&R’s take on building an expected pass model. It uses the logistic regression method and distance as the predictor.
Data Sandbox #8: Expected Passes – An Introduction
T&R’s take on building an expected pass model. It uses the logistic regression method and distance as the predictor.
Data Sandbox #7: In-game Rondos – Part B: Comparisons
Taking a closer look at 5m-or-shorter passes: how it (might) differ with longer short passes.
Data Sandbox #7: In-game Rondos – Part B: Comparisons
Taking a closer look at 5m-or-shorter passes: how it (might) differ with longer short passes.
Data Sandbox #6: In-game Rondos – Part A: Where to Find Them
Taking a closer look at 5m-or-shorter passes: where the were played on the pitch.
Data Sandbox #6: In-game Rondos – Part A: Where to Find Them
Taking a closer look at 5m-or-shorter passes: where the were played on the pitch.
Data Sandbox #5: Pass Length and Game State
A look at how BVB Dortmund’s pass length differs, if at all, during different game states.
Data Sandbox #5: Pass Length and Game State
A look at how BVB Dortmund’s pass length differs, if at all, during different game states.
Data Sandbox #4: Pass Length: Home and Away
Home and away games in terms of pass length.
Data Sandbox #4: Pass Length: Home and Away
Home and away games in terms of pass length.
Data Sandbox #3: How short can a long pass be? – Part B
The ‘Data Sandbox’ series is a place for me to practice data analysis using R. Data are taken from FourFourTwo‘s Statszone. The raw passing data has 5 variables: starting and ending locations of a pass on the pitch (2 pairs of xy-coordinates),
Data Sandbox #3: How short can a long pass be? – Part B
The ‘Data Sandbox’ series is a place for me to practice data analysis using R. Data are taken from FourFourTwo‘s Statszone. The raw passing data has 5 variables: starting and ending locations of a pass on the pitch (2 pairs of xy-coordinates),
Data Sandbox #2: How short can a long pass be? – Part A
The ‘Data Sandbox’ series is a place for me to practice data analysis using R. Data are taken from FourFourTwo‘s Statszone. The raw passing data has 5 variables: starting and ending locations of a pass on the pitch (2 pairs of xy-coordinates),
Data Sandbox #2: How short can a long pass be? – Part A
The ‘Data Sandbox’ series is a place for me to practice data analysis using R. Data are taken from FourFourTwo‘s Statszone. The raw passing data has 5 variables: starting and ending locations of a pass on the pitch (2 pairs of xy-coordinates),
