Stade Rennais v Ajaccio
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 Stade Rennais beat Ajaccio 2–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Martin Terrier for 1+ fouls drawn (81%, had 2). Its clearest miss: Désiré Doué for 1+ fouls drawn (76%, 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 |
|---|---|---|---|---|---|
| Martin Terrier | fouls drawn | 1+ | 81% | 2 | ✓ |
| Martin Terrier | shots total | 1+ | 80% | 3 | ✓ |
| Jérémy Doku | fouls drawn | 1+ | 79% | 2 | ✓ |
| Arnaud Kalimuendo | fouls drawn | 1+ | 77% | 1 | ✓ |
| Gaëtan Laborde | shots total | 1+ | 77% | 1 | ✓ |
| Désiré Doué | fouls drawn | 1+ | 76% | 0 | ✗ |
| Benjamin Bourigeaud | fouls drawn | 1+ | 76% | 0 | ✗ |
| Mounaim El Idrissy | fouls drawn | 1+ | 75% | 4 | ✓ |
| Jérémy Doku | shots total | 1+ | 75% | 1 | ✓ |
| Gaëtan Laborde | fouls drawn | 1+ | 74% | 1 | ✓ |
| Désiré Doué | fouls committed | 1+ | 74% | 1 | ✓ |
| Arnaud Kalimuendo | shots total | 1+ | 73% | 1 | ✓ |
| Benjamin Bourigeaud | shots total | 1+ | 73% | 3 | ✓ |
| Flavien Tait | fouls drawn | 1+ | 73% | 1 | ✓ |
How these are modelled: Fouls drawn · Shots total · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 63% | 8 cards | ✓ |
| BTTS | Yes | 36% | Yes | ✓ |
| Match goals | O2.5 | 29% | 3 goals | ✓ |
How these are modelled: Match cards · BTTS
Dig deeper
Past meetings
- Ajaccio 0–5 Stade Rennais May 2023
Frequently asked
How did the SharpXI model do on Stade Rennais v Ajaccio?
12 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 Stade Rennais v Ajaccio?
The most confident call it got wrong was Désiré Doué at 76% 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.