Sabah FK v SK Slavia Praha
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 Sabah FK beat SK Slavia Praha 2–0, the SharpXI model made 9 confident calls on the player markets and 5 landed — the strongest being Akim Zedadka for 1+ fouls committed (75%, had 3). Its clearest miss: David Zima for 1+ tackles (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.
2 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 |
|---|---|---|---|---|---|
| Akim Zedadka | fouls committed | 1+ | 75% | 3 | ✓ |
| David Zima | tackles | 1+ | 74% | 0 | ✗ |
| Tymoteusz Puchacz | tackles | 1+ | 72% | 2 | ✓ |
| Akim Zedadka | tackles | 1+ | 71% | 0 | ✗ |
| Akim Zedadka | fouls drawn | 1+ | 70% | 4 | ✓ |
| Tymoteusz Puchacz | shots total | 1+ | 62% | 0 | ✗ |
| Tymoteusz Puchacz | fouls drawn | 1+ | 61% | 2 | ✓ |
| Tymoteusz Puchacz | fouls committed | 1+ | 59% | 1 | ✓ |
| David Zima | fouls committed | 1+ | 57% | 0 | ✗ |
| David Zima | fouls drawn | 1+ | 49% | 0 | ✗ |
| David Zima | shots total | 1+ | 48% | 0 | ✗ |
| Akim Zedadka | shots total | 1+ | 48% | 0 | ✗ |
| David Zima | shots on target | 1+ | 29% | 0 | ✗ |
| Tymoteusz Puchacz | shots on target | 1+ | 29% | 0 | ✗ |
How these are modelled: Fouls committed Tackles Fouls drawn Shots total Shots on target
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 7% | 0 cards | ✗ |
How these are modelled: Match cards
Dig deeper
Frequently asked
How did the SharpXI model do on Sabah FK v SK Slavia Praha?
5 of its 9 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 Sabah FK v SK Slavia Praha?
The most confident call it got wrong was David Zima at 74% for tackles — 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.