Saint-Étienne v Metz
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 Saint-Étienne beat Metz 2–1, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Ibrahim Sissoko for 1+ shots total (82%, had 3). Its clearest miss: Cheick Tidiane Sabaly for 1+ fouls drawn (71%, 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 |
|---|---|---|---|---|---|
| Ibrahim Sissoko | shots total | 1+ | 82% | 3 | ✓ |
| Irvin Cardona | shots total | 1+ | 80% | 3 | ✓ |
| Georges Mikautadze | shots total | 1+ | 75% | 1 | ✓ |
| Mathieu Cafaro | shots total | 1+ | 74% | 4 | ✓ |
| Lamine Camara | fouls drawn | 1+ | 72% | 2 | ✓ |
| Cheick Tidiane Sabaly | fouls drawn | 1+ | 71% | 0 | ✗ |
| Aimen Moueffek | fouls committed | 1+ | 70% | 1 | ✓ |
| Florian Tardieu | fouls drawn | 1+ | 69% | 1 | ✓ |
| Irvin Cardona | fouls committed | 1+ | 67% | 0 | ✗ |
| Mathieu Cafaro | fouls drawn | 1+ | 67% | 2 | ✓ |
| Dylan Chambost | shots total | 1+ | 67% | 1 | ✓ |
| Ibrahim Sissoko | fouls drawn | 1+ | 66% | 2 | ✓ |
| Kévin N'Doram | fouls drawn | 1+ | 66% | 3 | ✓ |
| Mathieu Cafaro | fouls committed | 1+ | 66% | 0 | ✗ |
How these are modelled: Shots total · Fouls drawn · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 5% | 3 cards | ✗ |
How these are modelled: Match cards
Dig deeper
Past meetings
- Metz 2–2 Saint-Étienne Jun 2024
Frequently asked
How did the SharpXI model do on Saint-Étienne v Metz?
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 Saint-Étienne v Metz?
The most confident call it got wrong was Cheick Tidiane Sabaly at 71% 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.