RC Strasbourg v Saint-Étienne
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 RC Strasbourg beat Saint-Étienne 3–1, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Andrey Santos for 1+ tackles (95%, had 5). Its clearest miss: Dilane Bakwa 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 |
|---|---|---|---|---|---|
| Andrey Santos | tackles | 1+ | 95% | 5 | ✓ |
| Louis Mouton | tackles | 1+ | 95% | 1 | ✓ |
| Dennis Appiah | tackles | 1+ | 93% | 3 | ✓ |
| Valentín Barco | tackles | 1+ | 93% | 3 | ✓ |
| Emmanuel Emegha | shots total | 1+ | 92% | 6 | ✓ |
| Dilane Bakwa | fouls drawn | 1+ | 91% | 0 | ✗ |
| Aimen Moueffek | fouls committed | 1+ | 90% | 0 | ✗ |
| Habib Diarra | fouls drawn | 1+ | 89% | 1 | ✓ |
| Guéla Doué | tackles | 1+ | 88% | 0 | ✗ |
| Andrey Santos | fouls drawn | 1+ | 88% | 1 | ✓ |
| Valentín Barco | fouls drawn | 1+ | 88% | 1 | ✓ |
| Louis Mouton | fouls committed | 1+ | 87% | 1 | ✓ |
| Lucas Stassin | shots total | 1+ | 87% | 2 | ✓ |
| Zuriko Davitashvili | shots total | 1+ | 87% | 4 | ✓ |
How these are modelled: Tackles Shots total Fouls drawn Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match goals | O2.5 | 62% | 4 goals | ✓ |
| BTTS | Yes | 57% | Yes | ✓ |
| Match cards | O4.5 | 41% | 1 cards | ✗ |
How these are modelled: Match goals Match cards
Dig deeper
Past meetings
- Saint-Étienne 2–0 RC Strasbourg Nov 2024
Frequently asked
How did the SharpXI model do on RC Strasbourg v Saint-Étienne?
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 RC Strasbourg v Saint-Étienne?
The most confident call it got wrong was Dilane Bakwa 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.