Rodez AF v Paris FC
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 Rodez AF drew with Paris FC 2–2, the SharpXI model made 14 confident calls on the player markets and 8 landed — the strongest being Waniss Taibi for 1+ tackles (88%, had 3). Its clearest miss: Vincent Marchetti for 1+ fouls drawn (75%, 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 |
|---|---|---|---|---|---|
| Waniss Taibi | tackles | 1+ | 88% | 3 | ✓ |
| Dembo Sylla | tackles | 1+ | 82% | 1 | ✓ |
| Timothée Kolodziejczak | tackles | 1+ | 82% | 1 | ✓ |
| Vincent Marchetti | tackles | 1+ | 82% | 1 | ✓ |
| Vincent Marchetti | fouls drawn | 1+ | 75% | 0 | ✗ |
| Vincent Marchetti | shots total | 1+ | 66% | 1 | ✓ |
| Waniss Taibi | fouls committed | 1+ | 66% | 0 | ✗ |
| Waniss Taibi | shots total | 1+ | 64% | 2 | ✓ |
| Waniss Taibi | fouls drawn | 1+ | 64% | 0 | ✗ |
| Vincent Marchetti | fouls committed | 1+ | 64% | 0 | ✗ |
| Dembo Sylla | fouls committed | 1+ | 64% | 0 | ✗ |
| Timothée Kolodziejczak | fouls committed | 1+ | 64% | 1 | ✓ |
| Timothée Kolodziejczak | fouls drawn | 1+ | 52% | 1 | ✓ |
| Dembo Sylla | fouls drawn | 1+ | 52% | 0 | ✗ |
How these are modelled: Tackles Fouls drawn Shots total Fouls committed
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Frequently asked
How did the SharpXI model do on Rodez AF v Paris FC?
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 Rodez AF v Paris FC?
The most confident call it got wrong was Vincent Marchetti at 75% 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.