Clermont Foot v Stade de Reims
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 Clermont Foot beat Stade de Reims 4–1, the SharpXI model made 14 confident calls on the player markets and 8 landed — the strongest being Keito Nakamura for 1+ shots total (94%, had 2). Its clearest miss: Grejohn Kyei for 1+ shots total (95%, 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 |
|---|---|---|---|---|---|
| Grejohn Kyei | shots total | 1+ | 95% | 0 | ✗ |
| Keito Nakamura | shots total | 1+ | 94% | 2 | ✓ |
| Yohann Magnin | tackles | 1+ | 93% | 3 | ✓ |
| Thibault De Smet | fouls committed | 1+ | 90% | 1 | ✓ |
| Amir Richardson | fouls committed | 1+ | 90% | 0 | ✗ |
| Marshall Munetsi | fouls committed | 1+ | 90% | 0 | ✗ |
| Maximiliano Caufriez | tackles | 1+ | 88% | 2 | ✓ |
| Elbasan Rashani | tackles | 1+ | 88% | 3 | ✓ |
| Mehdi Zeffane | tackles | 1+ | 88% | 2 | ✓ |
| Thibault De Smet | tackles | 1+ | 88% | 0 | ✗ |
| Elbasan Rashani | fouls drawn | 1+ | 88% | 4 | ✓ |
| Muhammed-Cham Saračević | fouls drawn | 1+ | 88% | 0 | ✗ |
| Oumar Diakité | fouls committed | 1+ | 87% | 2 | ✓ |
| Elbasan Rashani | fouls committed | 1+ | 87% | 0 | ✗ |
How these are modelled: Shots total Tackles Fouls committed Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 57% | Yes | ✓ |
| Match goals | O2.5 | 54% | 5 goals | ✓ |
| Match cards | O4.5 | 41% | 4 cards | ✗ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Stade de Reims 2–0 Clermont Foot Aug 2023
- Clermont Foot 1–0 Stade de Reims Apr 2023
- Stade de Reims 2–4 Clermont Foot Aug 2022
Frequently asked
How did the SharpXI model do on Clermont Foot v Stade de Reims?
8 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 Clermont Foot v Stade de Reims?
The most confident call it got wrong was Grejohn Kyei at 95% for shots total — 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.