Le Havre 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 Le Havre lost to Stade de Reims 0–3, the SharpXI model made 14 confident calls on the player markets and 14 landed — the strongest being Keito Nakamura for 1+ shots total (94%, had 3). 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 |
|---|---|---|---|---|---|
| Keito Nakamura | shots total | 1+ | 94% | 3 | ✓ |
| Gautier Lloris | tackles | 1+ | 88% | 3 | ✓ |
| Abdoulaye Touré | tackles | 1+ | 88% | 3 | ✓ |
| Oussama Targhalline | tackles | 1+ | 88% | 2 | ✓ |
| Amadou Koné | tackles | 1+ | 88% | 5 | ✓ |
| Yassine Kechta | tackles | 1+ | 88% | 2 | ✓ |
| Abdoul Kone | tackles | 1+ | 88% | 1 | ✓ |
| Joseph Okumu | tackles | 1+ | 88% | 2 | ✓ |
| Emmanuel Sabbi | fouls drawn | 1+ | 88% | 3 | ✓ |
| Amadou Koné | fouls drawn | 1+ | 88% | 1 | ✓ |
| Josué Casimir | fouls drawn | 1+ | 88% | 2 | ✓ |
| André Ayew | shots total | 1+ | 87% | 3 | ✓ |
| Marshall Munetsi | shots total | 1+ | 84% | 3 | ✓ |
| Oumar Diakité | shots total | 1+ | 84% | 1 | ✓ |
How these are modelled: Shots total Tackles Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 53% | No | ✗ |
| Match cards | O4.5 | 50% | 5 cards | ✓ |
| Match goals | O2.5 | 47% | 3 goals | ✓ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Stade de Reims 1–1 Le Havre Jan 2025
- Le Havre 1–2 Stade de Reims Feb 2024
- Stade de Reims 1–0 Le Havre Dec 2023
Frequently asked
How did the SharpXI model do on Le Havre v Stade de Reims?
14 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 Le Havre v Stade de Reims?
Every one of its confident calls landed this time — a single strong game, not a verdict. When the model does miss, those rows sit in the same table as the hits, marked with a cross; we never hide them.
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.