NK Olimpija Ljubljana v LASK
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 NK Olimpija Ljubljana beat LASK 2–0, the SharpXI model made 7 confident calls on the player markets and 2 landed — the strongest being Jorge Silva for 1+ fouls committed (79%, had 1). Its clearest miss: Hrvoje Smolčić 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.
4 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 |
|---|---|---|---|---|---|
| Jorge Silva | fouls committed | 1+ | 79% | 1 | ✓ |
| Hrvoje Smolčić | tackles | 1+ | 76% | 0 | ✗ |
| Jorge Silva | fouls drawn | 1+ | 73% | 0 | ✗ |
| Hrvoje Smolčić | fouls drawn | 1+ | 60% | 0 | ✗ |
| Hrvoje Smolčić | fouls committed | 1+ | 53% | 0 | ✗ |
| Jorge Silva | tackles | 1+ | 52% | 0 | ✗ |
| Hrvoje Smolčić | shots total | 1+ | 51% | 1 | ✓ |
| Jorge Silva | shots total | 1+ | 42% | 0 | ✗ |
| Hrvoje Smolčić | shots on target | 1+ | 23% | 0 | ✗ |
| Jorge Silva | shots on target | 1+ | 17% | 0 | ✗ |
How these are modelled: Fouls committed Tackles Fouls drawn Shots total Shots on target
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Frequently asked
How did the SharpXI model do on NK Olimpija Ljubljana v LASK?
2 of its 7 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 NK Olimpija Ljubljana v LASK?
The most confident call it got wrong was Hrvoje Smolčić 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.