SC Dnipro-1 v Apollon Limassol
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 SC Dnipro-1 beat Apollon Limassol 1–0, the SharpXI model made 8 confident calls on the player markets and 4 landed — the strongest being Patrick Joosten for 1+ shots total (90%, had 1). Its clearest miss: Yanis Hamache for 1+ tackles (76%, 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 |
|---|---|---|---|---|---|
| Patrick Joosten | shots total | 1+ | 90% | 1 | ✓ |
| Yanis Hamache | tackles | 1+ | 76% | 0 | ✗ |
| Patrick Joosten | shots on target | 1+ | 73% | 0 | ✗ |
| Patrick Joosten | fouls committed | 1+ | 72% | 0 | ✗ |
| Patrick Joosten | tackles | 1+ | 68% | 0 | ✗ |
| Patrick Joosten | fouls drawn | 1+ | 65% | 1 | ✓ |
| Yanis Hamache | fouls committed | 1+ | 63% | 1 | ✓ |
| Yanis Hamache | shots total | 1+ | 55% | 1 | ✓ |
| Yanis Hamache | fouls drawn | 1+ | 39% | 1 | ✓ |
| Yanis Hamache | shots on target | 1+ | 23% | 1 | ✓ |
How these are modelled: Shots total Tackles Shots on target Fouls committed Fouls drawn
Dig deeper
Past meetings
- Apollon Limassol 1–3 SC Dnipro-1 Sep 2022
Frequently asked
How did the SharpXI model do on SC Dnipro-1 v Apollon Limassol?
4 of its 8 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 SC Dnipro-1 v Apollon Limassol?
The most confident call it got wrong was Yanis Hamache at 76% 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 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.