Bologna v AS Monaco
How the SharpXI model rated this UEFA Champions League fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Bologna lost to AS Monaco 0–1, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Dan Ndoye for 1+ fouls drawn (91%, had 4). Its clearest miss: Tommaso Pobega for 1+ fouls committed (85%, 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.
6 matches on record — too few to quote a card rate against. See the record →
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 |
|---|---|---|---|---|---|
| Dan Ndoye | fouls drawn | 1+ | 91% | 4 | ✓ |
| Tommaso Pobega | fouls committed | 1+ | 85% | 0 | ✗ |
| Eliesse Ben Seghir | fouls drawn | 1+ | 84% | 1 | ✓ |
| Vanderson | fouls committed | 1+ | 83% | 4 | ✓ |
| Riccardo Orsolini | fouls drawn | 1+ | 82% | 1 | ✓ |
| Santiago Castro | fouls drawn | 1+ | 80% | 0 | ✗ |
| Juan Miranda | fouls drawn | 1+ | 80% | 1 | ✓ |
| Lamine Camara | fouls committed | 1+ | 78% | 3 | ✓ |
| Santiago Castro | fouls committed | 1+ | 78% | 0 | ✗ |
| Thijs Dallinga | fouls drawn | 1+ | 78% | 0 | ✗ |
| Thijs Dallinga | fouls committed | 1+ | 78% | 2 | ✓ |
| Breel Embolo | fouls committed | 1+ | 77% | 1 | ✓ |
| Breel Embolo | fouls drawn | 1+ | 77% | 3 | ✓ |
| Nikola Moro | fouls committed | 1+ | 76% | 1 | ✓ |
How these are modelled: Fouls drawn · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 88% | 5 cards | ✓ |
| BTTS | Yes | 30% | No | ✗ |
| Match goals | O2.5 | 22% | 1 goals | ✗ |
How these are modelled: Match cards · BTTS
Dig deeper
Frequently asked
How did the SharpXI model do on Bologna v AS Monaco?
10 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 Bologna v AS Monaco?
The most confident call it got wrong was Tommaso Pobega at 85% for fouls committed — 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 UEFA Champions League?
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.