Lille v Ajaccio
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 Lille beat Ajaccio 3–0, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Mounaim El Idrissy for 1+ fouls committed (88%, had 3). Its clearest miss: André Gomes for 1+ fouls committed (86%, 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 |
|---|---|---|---|---|---|
| Mounaim El Idrissy | fouls committed | 1+ | 88% | 3 | ✓ |
| André Gomes | fouls committed | 1+ | 86% | 0 | ✗ |
| Mounaim El Idrissy | fouls drawn | 1+ | 85% | 2 | ✓ |
| Jonathan David | fouls drawn | 1+ | 80% | 0 | ✗ |
| Benjamin André | fouls committed | 1+ | 78% | 1 | ✓ |
| Bafodé Diakité | fouls committed | 1+ | 78% | 1 | ✓ |
| Jonathan Bamba | fouls drawn | 1+ | 77% | 3 | ✓ |
| Jonathan David | shots total | 1+ | 77% | 2 | ✓ |
| Kevin Spadanuda | fouls drawn | 1+ | 76% | 0 | ✗ |
| Gabriel Gudmundsson | fouls committed | 1+ | 76% | 1 | ✓ |
| Rémy Cabella | fouls drawn | 1+ | 76% | 1 | ✓ |
| Kevin Spadanuda | fouls committed | 1+ | 76% | 1 | ✓ |
| Oumar Gonzalez | fouls committed | 1+ | 75% | 1 | ✓ |
| Angel Gomes | fouls committed | 1+ | 75% | 2 | ✓ |
How these are modelled: Fouls committed · Fouls drawn · Shots total
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 74% | 3 cards | ✗ |
| Match goals | O2.5 | 53% | 3 goals | ✓ |
| BTTS | Yes | 46% | No | ✗ |
How these are modelled: Match cards · Match goals
Dig deeper
Past meetings
- Ajaccio 1–3 Lille Aug 2022
Frequently asked
How did the SharpXI model do on Lille v Ajaccio?
11 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 Lille v Ajaccio?
The most confident call it got wrong was André Gomes at 86% for fouls committed — 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.