Metz v RC Strasbourg
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 Metz lost to RC Strasbourg 0–1, the SharpXI model made 14 confident calls on the player markets and 8 landed — the strongest being Joaquin Panichelli for 1+ shots total (95%, had 1). Its clearest miss: Samuel Amo-Ameyaw for 1+ shots total (94%, 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 |
|---|---|---|---|---|---|
| Joaquin Panichelli | shots total | 1+ | 95% | 1 | ✓ |
| Boubacar Traoré | tackles | 1+ | 95% | 3 | ✓ |
| Emmanuel Emegha | shots total | 1+ | 94% | 3 | ✓ |
| Samuel Amo-Ameyaw | shots total | 1+ | 94% | 0 | ✗ |
| Valentín Barco | tackles | 1+ | 93% | 1 | ✓ |
| Benjamin Stambouli | tackles | 1+ | 93% | 3 | ✓ |
| Koffi Kouao | tackles | 1+ | 93% | 4 | ✓ |
| Junior Mwanga | tackles | 1+ | 88% | 4 | ✓ |
| Cheick Tidiane Sabaly | tackles | 1+ | 88% | 2 | ✓ |
| Dilane Bakwa | fouls drawn | 1+ | 88% | 0 | ✗ |
| Idrissa Gueye | shots total | 1+ | 87% | 0 | ✗ |
| Boubacar Traoré | fouls committed | 1+ | 87% | 0 | ✗ |
| Cheick Tidiane Sabaly | fouls committed | 1+ | 87% | 0 | ✗ |
| Dilane Bakwa | shots total | 1+ | 84% | 0 | ✗ |
How these are modelled: Shots total Tackles Fouls drawn Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 41% | 4 cards | ✗ |
| BTTS | Yes | 36% | No | ✗ |
| Match goals | O2.5 | 28% | 1 goals | ✗ |
How these are modelled: Match cards BTTS
Dig deeper
Past meetings
- RC Strasbourg 2–1 Metz Jan 2026
- RC Strasbourg 2–1 Metz May 2024
- Metz 0–1 RC Strasbourg Sep 2023
Frequently asked
How did the SharpXI model do on Metz v RC Strasbourg?
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 Metz v RC Strasbourg?
The most confident call it got wrong was Samuel Amo-Ameyaw at 94% 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.