Eintracht Frankfurt v Royale Union Saint-Gilloise
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 Eintracht Frankfurt lost to Royale Union Saint-Gilloise 1–2, the SharpXI model made 14 confident calls on the player markets and 14 landed — the strongest being Eric Ebimbe for 1+ fouls committed (94%, had 3). Every probability here was published before kick-off, priced the same way as every other fixture — one game is noise, not a verdict.
5 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 |
|---|---|---|---|---|---|
| Eric Ebimbe | fouls committed | 1+ | 94% | 3 | ✓ |
| Omar Marmoush | shots total | 1+ | 94% | 1 | ✓ |
| Hugo Ekitiké | shots total | 1+ | 94% | 1 | ✓ |
| Omar Marmoush | fouls drawn | 1+ | 91% | 5 | ✓ |
| Mario Götze | tackles | 1+ | 89% | 2 | ✓ |
| Tuta | tackles | 1+ | 89% | 1 | ✓ |
| Willian Pacho | tackles | 1+ | 89% | 2 | ✓ |
| Aurélio Buta | tackles | 1+ | 89% | 1 | ✓ |
| Ellyes Skhiri | tackles | 1+ | 89% | 3 | ✓ |
| Ansgar Knauff | tackles | 1+ | 89% | 2 | ✓ |
| Niels Nkounkou | tackles | 1+ | 89% | 3 | ✓ |
| Eric Ebimbe | tackles | 1+ | 89% | 1 | ✓ |
| Farès Chaïbi | shots total | 1+ | 85% | 1 | ✓ |
| Ansgar Knauff | shots total | 1+ | 85% | 1 | ✓ |
How these are modelled: Fouls committed Shots total Fouls drawn Tackles
Dig deeper
Past meetings
Frequently asked
How did the SharpXI model do on Eintracht Frankfurt v Royale Union Saint-Gilloise?
14 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 Eintracht Frankfurt v Royale Union Saint-Gilloise?
Every one of its confident calls landed this time — a single strong game, not a verdict. When the model does miss, those rows sit in the same table as the hits, marked with a cross; we never hide them.
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.