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.

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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 #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),