Nice v Nantes
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 Nice beat Nantes 1–0, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Mostafa Mohamed for 1+ fouls drawn (83%, had 4). Its clearest miss: Morgan Sanson for 1+ shots total (74%, 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 |
|---|---|---|---|---|---|
| Mostafa Mohamed | fouls drawn | 1+ | 83% | 4 | ✓ |
| Terem Moffi | shots total | 1+ | 78% | 2 | ✓ |
| Hicham Boudaoui | fouls drawn | 1+ | 78% | 1 | ✓ |
| Johann Lepenant | fouls committed | 1+ | 77% | 1 | ✓ |
| Kevin Carlos Omoruyi | shots total | 1+ | 76% | 3 | ✓ |
| Kevin Carlos Omoruyi | fouls drawn | 1+ | 75% | 3 | ✓ |
| Amady Camara | shots total | 1+ | 75% | 1 | ✓ |
| Morgan Sanson | shots total | 1+ | 74% | 0 | ✗ |
| Junior Mwanga | fouls committed | 1+ | 74% | 2 | ✓ |
| Sofiane Diop | fouls drawn | 1+ | 74% | 0 | ✗ |
| Jérémie Boga | shots total | 1+ | 74% | 4 | ✓ |
| Mostafa Mohamed | fouls committed | 1+ | 73% | 0 | ✗ |
| Mostafa Mohamed | shots total | 1+ | 72% | 2 | ✓ |
| Johann Lepenant | fouls drawn | 1+ | 72% | 3 | ✓ |
How these are modelled: Fouls drawn · Shots total · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match goals | O2.5 | 53% | 1 goals | ✗ |
| BTTS | Yes | 48% | No | ✗ |
| Match cards | O4.5 | 32% | 2 cards | ✗ |
How these are modelled: Match goals · Match cards
Dig deeper
Past meetings
- Nantes 1–4 Nice Jan 2026
- Nice 1–2 Nantes Apr 2025
- Nantes 1–1 Nice Oct 2024
- Nice 1–2 Nantes Mar 2024
- Nantes 1–0 Nice Dec 2023
- Nantes 2–2 Nice Mar 2023
- Nice 1–1 Nantes Oct 2022
Frequently asked
How did the SharpXI model do on Nice v Nantes?
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 Nice v Nantes?
The most confident call it got wrong was Morgan Sanson at 74% 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.