Statistical Analysis

Tactics Platform x Cheuk Hei Ho

Tactics Platform x Cheuk Hei Ho

This page is dedicated to a collaboration between The Laziali and Cheuk Hei Ho. Focusing on traditional video analysis and a data-driven approach to analyze football tactics and strategies, here, you will find in-depth data on Lazio’s matches. From the quantity and location of shots to expected goals and pass networks, we are extremely happy to announce this partnership with Cheuk. You can visit Tactics Platform to view more of his work on statistical analysis.

Overview

There will be three separate analyses created by Cheuk for each match.

Bologna vs Lazio Expected Goals (xG) Step Plot, Source- @TacticsPlatform

Bologna vs Lazio Expected Goals (xG) Step Plot, Source- @TacticsPlatform

The first is an Expected Goals (xG) Step Plot. This summarizes every shot taken by either side in the match. Each shot is represented by a step and the height of the step measures the xG outcome of that shot; the higher the total height of the steps, the more shots one team creates. In addition, the colored bar in the top left shows the probability of the home side winning the match, the away side winning the match, or a draw occurring. This is known better as a summary of all simulations. Please refer to the example above.

Bologna vs Lazio Outcome Probability Bar Chart, Source- @TacticsPlatform

Bologna vs Lazio Outcome Probability Bar Chart, Source- @TacticsPlatform

The second is an Outcome Probability Bar Chart. Each chart is a summary of a 10,000-time simulation of the probability of how many goals each team will score; the colored bar is the actual number of goals each team scored. Please refer to the example above.

Bologna vs Lazio Pass Network Plot & Shot Location Plot, Source- @TacticsPlatform

Bologna vs Lazio Pass Network Plot & Shot Location Plot, Source- @TacticsPlatform

The third is a combination of a Pass Network Plot and a Shot Location Plot. The former summarizes the pass connection between players; the size of the node denotes the number of touches per player while the size and shade of the line between players indicates the frequency of the pass connection. The direction of the connection is not shown. The latter shows the coordinate of where each shot was taken, plotted as dots. The size of the dot shows the xG; the bigger the dot, the higher xG. Colored dots represent goals. Please refer to the example above.