r/FootballDataAnalysis

I took real data and mapped all runs above 5.5 m/s per position and type of event.

This clip I included is a Right Center Back while in possession of the ball. What I found was that not all high speed running and sprints are the same.

I included small amount so we can see that most runs are not linear. Adding different types of sprints are crucial for training to be better but also injury reduction.

Data Science principals used were cluster - namely PCA - to find features and correlate player positions.

With this knowledge, we can create better training regimens.

This is a cool visual aid I made in python to explain clustering.

I've taken sprints across a game and tried to determine which positions relate to others. I believe this will help with training sprints since there are many ways we can.

Such as short sprints, curved sprints, cutting, plyometrics, etc.

With my latest project, I wanted to see what the threshold for stretching center backs out of shape was. I play center back myself and balls over the fullback, into the channel are my team's worst enemy.

I have to go pressure the ball but it usually leaves a gap between me and the other center back that the attacking team can move into. I measured all distances of two teams and used Q3 + 1.5 * IQR to log "stretching" events.

Here is a clip of a stretching event.