Metz v USL Dunkerque
How the SharpXI model rated this Ligue 1 fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Metz beat USL Dunkerque 1–0, the SharpXI model made 14 confident calls on the player markets and 13 landed — the strongest being Gaëtan Courtet for 1+ shots total (94%, had 1). Its clearest miss: Vincent Sasso for 1+ tackles (82%, had 0). Every probability here was published before kick-off, priced the same way as every other fixture — one game is noise, not a verdict.
Player markets — the model's calls
Each probability is the model's own number for the headline (1+) line, before any bookmaker margin. The result column is what the player actually recorded.
| Player | Market | Line | Model | Actual | Result |
|---|---|---|---|---|---|
| Gessime Yassine | shots total | 1+ | 94% | 1 | ✓ |
| Gaëtan Courtet | shots total | 1+ | 94% | 1 | ✓ |
| Naatan Skyttä | tackles | 1+ | 88% | 2 | ✓ |
| Maxence Rivera | shots total | 1+ | 87% | 2 | ✓ |
| Jessy Deminguet | fouls committed | 1+ | 87% | 1 | ✓ |
| Enzo Bardeli | tackles | 1+ | 86% | 1 | ✓ |
| Ugo Raghouber | tackles | 1+ | 86% | 1 | ✓ |
| Abdoullah Ba | shots total | 1+ | 84% | 1 | ✓ |
| Naatan Skyttä | shots total | 1+ | 84% | 1 | ✓ |
| Maxence Rivera | tackles | 1+ | 83% | 3 | ✓ |
| Alec Georgen | tackles | 1+ | 82% | 4 | ✓ |
| Vincent Sasso | tackles | 1+ | 82% | 0 | ✗ |
| Gessime Yassine | shots on target | 1+ | 79% | 1 | ✓ |
| Gessime Yassine | fouls drawn | 1+ | 79% | 3 | ✓ |
How these are modelled: Shots total Tackles Fouls committed Shots on target Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 10% | 6 cards | ✓ |
How these are modelled: Match cards
Dig deeper
Frequently asked
How did the SharpXI model do on Metz v USL Dunkerque?
13 of its 14 most-confident calls landed. The board on this page lists every one with the model's pre-kickoff probability next to what actually happened, hits and misses in the same table.
What did the model get wrong on Metz v USL Dunkerque?
The most confident call it got wrong was Vincent Sasso at 82% for tackles — shown in the same table as the hits, marked with a cross. A record that hides its misses isn't a record, so we don't.
Are these probabilities hindsight?
No. Each one is the number the model produced from data available before kick-off, using the same settings as every other fixture on the site — nothing was refitted after the result. That is the only way a per-match report means anything.
Does one match tell you if the model is any good in the Ligue 1?
No, and we'd rather say so. A single fixture is a handful of calls and mostly noise; the season-long, market-by-market record — including the markets that fail to beat a naive guess — is on the track record page.
SharpXI models probabilities from public match data; it does not take bets or guarantee outcomes. Prices are entered per leg in the tool. 18+ — please gamble responsibly.