Saint-Étienne v AS Monaco
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 Saint-Étienne lost to AS Monaco 1–3, the SharpXI model made 14 confident calls on the player markets and 13 landed — the strongest being Folarin Balogun for 1+ shots total (88%, had 3). Its clearest miss: Djylian N'Guessan 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 |
|---|---|---|---|---|---|
| Folarin Balogun | shots total | 1+ | 88% | 3 | ✓ |
| Soungoutou Magassa | fouls committed | 1+ | 81% | 1 | ✓ |
| Breel Embolo | shots total | 1+ | 80% | 1 | ✓ |
| Breel Embolo | fouls drawn | 1+ | 78% | 1 | ✓ |
| Takumi Minamino | shots total | 1+ | 78% | 2 | ✓ |
| Maghnes Akliouche | shots total | 1+ | 78% | 4 | ✓ |
| Ibrahima Wadji | shots total | 1+ | 77% | 1 | ✓ |
| Aimen Moueffek | fouls committed | 1+ | 77% | 1 | ✓ |
| Zuriko Davitashvili | shots total | 1+ | 76% | 2 | ✓ |
| Dennis Appiah | fouls committed | 1+ | 75% | 1 | ✓ |
| Pierre Ekwah | fouls committed | 1+ | 75% | 3 | ✓ |
| Djylian N'Guessan | shots total | 1+ | 74% | 0 | ✗ |
| Wilfried Singo | fouls drawn | 1+ | 74% | 1 | ✓ |
| Folarin Balogun | fouls drawn | 1+ | 73% | 1 | ✓ |
How these are modelled: Shots total · Fouls committed · Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match goals | O2.5 | 75% | 4 goals | ✓ |
| BTTS | Yes | 60% | Yes | ✓ |
| Match cards | O4.5 | 34% | 0 cards | ✗ |
How these are modelled: Match goals · Match cards
Dig deeper
Past meetings
- AS Monaco 1–0 Saint-Étienne Aug 2024
Frequently asked
How did the SharpXI model do on Saint-Étienne v AS Monaco?
13 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 Saint-Étienne v AS Monaco?
The most confident call it got wrong was Djylian N'Guessan 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.