AZ Alkmaar v ŠK Slovan Bratislava
How the SharpXI model rated this UEFA Conference League fixture — every call it made on shots, fouls and tackles, set against what actually happened on the day.
Before AZ Alkmaar beat ŠK Slovan Bratislava 1–0, the SharpXI model made 14 confident calls on the player markets and 13 landed — the strongest being Peer Koopmeiners for 1+ fouls committed (94%, had 2). Its clearest miss: Ibrahim Sadiq for 1+ fouls committed (80%, 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.
3 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 |
|---|---|---|---|---|---|
| Peer Koopmeiners | fouls committed | 1+ | 94% | 2 | ✓ |
| Sven Mijnans | shots total | 1+ | 94% | 8 | ✓ |
| Troy Parrott | shots total | 1+ | 94% | 5 | ✓ |
| Weslley Patati | shots total | 1+ | 94% | 4 | ✓ |
| Ibrahim Sadiq | shots total | 1+ | 90% | 3 | ✓ |
| Isak Jensen | shots total | 1+ | 90% | 3 | ✓ |
| Peer Koopmeiners | tackles | 1+ | 89% | 4 | ✓ |
| Kees Smit | shots total | 1+ | 85% | 1 | ✓ |
| Mees De Wit | tackles | 1+ | 85% | 1 | ✓ |
| Kees Smit | tackles | 1+ | 83% | 5 | ✓ |
| Denso Kasius | tackles | 1+ | 81% | 4 | ✓ |
| Ibrahim Sadiq | fouls committed | 1+ | 80% | 0 | ✗ |
| Weslley Patati | fouls committed | 1+ | 80% | 2 | ✓ |
| Kees Smit | fouls committed | 1+ | 80% | 3 | ✓ |
How these are modelled: Fouls committed Shots total Tackles
Dig deeper
Frequently asked
How did the SharpXI model do on AZ Alkmaar v ŠK Slovan Bratislava?
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 AZ Alkmaar v ŠK Slovan Bratislava?
The most confident call it got wrong was Ibrahim Sadiq at 80% 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 Conference 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.