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Jun 21, 2023 · On average, 380.46 passes were attempted and 320.91 passes were completed per game, resulting in a pass completion rate of 84.35%. The breakdown of pass types is presented in Table 1.
Mar 1, 2021 · Key Performance Indicators (KPIs) are used to evaluate the offensive success of a soccer team (e.g. penalty box entries) or player (e.g. pass completion rate). However, knowledge transfer from research to applied practice is understudied.
- Mat Herold, Matthias Kempe, Pascal Bauer, Tim Meyer
- 10.52082/jssm.2021.158
- 2021
- J Sports Sci Med. 2021 Mar; 20(1): 158-169.
- Expected Pass Completion
- Aggregating XP Per Season
- Passes Completed Above Expected
- Aggregating Pax Per Season
- Edge Analysis Example
- Appendix: Explaining XP Predictions
Just as expected goals (xG) predicts the likelihood of a shot being scored, our xP framework models the probability of a pass being completed by taking information about the pass and the current possession. Firstly, we take basic geometric information about the pass: 1. x-coordinate of pass start location 2. mirrored y-coordinate of pass start loca...
As with xG, we may be less interested in analysing the values of individual actions using this metric – small sample sizes are noisy and not necessarily representative of a player’s true performance – and instead prefer to aggregate xP at different levels: average per player per game, average per team per season, and so on. If we take the mean xP p...
xP only tell us the average difficulty of attempted passes but not necessarily how skilled a player is at completing them. By subtracting the predicted pass outcome (xP) from the observed pass outcome (where 0 = incomplete, 1 = complete), we can estimate how much better or worse than expected a player is at completing the passes they attempt. We ca...
Looking again at Premier League players with 2000+ minutes in 2020-21, Jack Grealish had one of the highest normalised PAx scores (7.8 PAx per 100 passes) whilst Richarlison had one of the lowest scores (-2.4 PAx per 100 passes). In other words, for every 100 passes that Jack Grealish made last season, he completed almost eight more than the averag...
We combine xP with our other AI models – such as Possession Value (PV), Movement Chains, and Pressure – in the Stats Perform Edge Analysisplatform to quickly find specific patterns of play and link to video of them. For instance, the example below shows clusters of Movement Chains by Liverpool in 2019-20 in which the average pass was relatively saf...
We can get an explanation of how complex models like our xP framework arrive at their decisions using SHapley Additive exPlanation (SHAP) plots. These show the importance of each model feature in terms of positively (blue) or negatively (red) influencing any given predicted xP value. For example, the SHAP plot for Nat Phillips’ 0.95 xP pass in the ...
Mar 1, 2022 · Whether it’s a swift one-two to get around an opponent or a mesmerising diagonal ball to switch play to the opposite flank, passing requires players to: scan the pitch to see their options ; connect with the teammate they’re passing to; play the ball with accuracy ; apply the correct weight to the pass ; make a pass at the right time.
Feb 25, 2021 · In our first article, we identified five goal categories: Progressive Pass, Basic Pass, Set Piece Pass, Individual Play, and Set Piece Kick. In every observed league, around 40% of goals are scored from the Progressive Pass category.
- Jamon Moore
Run Pass ratio stats show a team’s percentage split between running and passing plays. Because game context often dictates a team’s decision to pass or run, Pass Rate Over Expected (PROE) is also shown.
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Check out Passing Stats for the 2024-2025 Premier League season.
