Developing a New Expected Goals Metric to Quantify Performance in a Virtual Reality Soccer Goalkeeping App Called CleanSheet
Matthew Simpson, Cathy Craig, John Komar, Robert S Allison · 2024
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Description
Matthew Simpson and Cathy Craig lead a 2024 study that builds a fairer scorecard for a virtual reality goalkeeping game. The app, CleanSheet, has over 100,000 players training as keepers. Its leaderboards count saves, but a save against a weak shot counts the same as one against a rocket. The team set out to grade shot difficulty itself, borrowing from soccer's expected goals idea.
Their model mixes existing expected-goals formulas, keeper metrics, and psychology research. Three inputs, all about the ball's flight and its placement in goal, drive the score. A variable adapted from movement science, the required rate of closure, proved the strongest predictor of goals conceded. The new metric nailed difficulty at the easy and hard extremes. It wobbled in the middle range. The authors list missing factors, like build-up play, for the next version.
Catalog record
| CREATOR | Matthew Simpson, Cathy Craig, John Komar, Robert S Allison |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |