Clermont Foot v Paris Saint-Germain
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 Clermont Foot drew with Paris Saint-Germain 0–0, the SharpXI model made 14 confident calls on the player markets and 14 landed — the strongest being Kylian Mbappé for 1+ shots total (87%, had 5). 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 |
|---|---|---|---|---|---|
| Kylian Mbappé | shots total | 1+ | 87% | 5 | ✓ |
| Muhammed-Cham Saračević | shots total | 1+ | 80% | 1 | ✓ |
| Gonçalo Ramos | shots total | 1+ | 78% | 1 | ✓ |
| Ousmane Dembélé | shots total | 1+ | 78% | 4 | ✓ |
| Yohann Magnin | fouls committed | 1+ | 78% | 1 | ✓ |
| Achraf Hakimi | fouls committed | 1+ | 77% | 1 | ✓ |
| Randal Kolo Muani | fouls committed | 1+ | 77% | 5 | ✓ |
| Gonçalo Ramos | fouls committed | 1+ | 76% | 1 | ✓ |
| Bradley Barcola | fouls committed | 1+ | 76% | 1 | ✓ |
| Randal Kolo Muani | shots total | 1+ | 75% | 3 | ✓ |
| Alidu Seidu | fouls drawn | 1+ | 74% | 3 | ✓ |
| Warren Zaïre-Emery | fouls committed | 1+ | 74% | 1 | ✓ |
| Shamar Nicholson | shots total | 1+ | 74% | 4 | ✓ |
| Shamar Nicholson | fouls committed | 1+ | 73% | 1 | ✓ |
How these are modelled: Shots total · Fouls committed · Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 62% | No | ✗ |
| Match goals | O2.5 | 62% | 0 goals | ✗ |
| Match cards | O4.5 | 14% | 5 cards | ✓ |
How these are modelled: BTTS · Match cards
Dig deeper
Past meetings
- Paris Saint-Germain 1–1 Clermont Foot Apr 2024
- Paris Saint-Germain 2–3 Clermont Foot Jun 2023
- Clermont Foot 0–5 Paris Saint-Germain Aug 2022
Frequently asked
How did the SharpXI model do on Clermont Foot v Paris Saint-Germain?
14 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 Clermont Foot v Paris Saint-Germain?
Every one of its confident calls landed this time — a single strong game, not a verdict. When the model does miss, those rows sit in the same table as the hits, marked with a cross; we never hide them.
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.