Stade de Reims v Lille
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 Stade de Reims lost to Lille 0–2, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Rémy Cabella for 1+ tackles (95%, had 2). Its clearest miss: Rémy Cabella for 1+ fouls drawn (91%, 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 |
|---|---|---|---|---|---|
| Rémy Cabella | tackles | 1+ | 95% | 2 | ✓ |
| Mohamed Bayo | shots total | 1+ | 94% | 3 | ✓ |
| Marshall Munetsi | tackles | 1+ | 93% | 2 | ✓ |
| Ismaily | tackles | 1+ | 93% | 2 | ✓ |
| Valentin Atangana Edoa | tackles | 1+ | 92% | 2 | ✓ |
| Tiago Santos | fouls drawn | 1+ | 91% | 3 | ✓ |
| Rémy Cabella | fouls drawn | 1+ | 91% | 0 | ✗ |
| Oumar Diakité | fouls committed | 1+ | 90% | 0 | ✗ |
| Valentin Atangana Edoa | fouls committed | 1+ | 90% | 1 | ✓ |
| Emmanuel Agbadou | tackles | 1+ | 88% | 3 | ✓ |
| Abdoul Kone | tackles | 1+ | 88% | 4 | ✓ |
| Tiago Santos | tackles | 1+ | 88% | 3 | ✓ |
| Joseph Okumu | tackles | 1+ | 88% | 4 | ✓ |
| Hakon Arnar Haraldsson | fouls drawn | 1+ | 88% | 1 | ✓ |
How these are modelled: Tackles Shots total Fouls drawn Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 53% | No | ✗ |
| Match goals | O2.5 | 48% | 2 goals | ✗ |
| Match cards | O4.5 | 41% | 5 cards | ✓ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Lille 2–1 Stade de Reims May 2025
- Stade de Reims 0–1 Lille Mar 2024
- Lille 1–2 Stade de Reims Sep 2023
- Stade de Reims 1–0 Lille May 2023
- Lille 1–1 Stade de Reims Jan 2023
Frequently asked
How did the SharpXI model do on Stade de Reims v Lille?
12 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 Stade de Reims v Lille?
The most confident call it got wrong was Rémy Cabella at 91% for fouls drawn — 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.