Athletic Club v Paris Saint-Germain
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 Athletic Club drew with Paris Saint-Germain 0–0, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Khvicha Kvaratskhelia for 1+ shots total (93%, had 1). Its clearest miss: Gorka Guruzeta for 1+ shots total (93%, 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.
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 |
|---|---|---|---|---|---|
| Khvicha Kvaratskhelia | shots total | 1+ | 93% | 1 | ✓ |
| Bradley Barcola | shots total | 1+ | 93% | 2 | ✓ |
| Gorka Guruzeta | shots total | 1+ | 93% | 0 | ✗ |
| Désiré Doué | fouls drawn | 1+ | 88% | 0 | ✗ |
| Désiré Doué | tackles | 1+ | 88% | 1 | ✓ |
| Iñigo Ruiz de Galarreta | tackles | 1+ | 87% | 3 | ✓ |
| Oihan Sancet | shots total | 1+ | 86% | 2 | ✓ |
| Iñigo Ruiz de Galarreta | fouls committed | 1+ | 85% | 3 | ✓ |
| Mikel Jauregizar | tackles | 1+ | 85% | 3 | ✓ |
| Senny Mayulu | tackles | 1+ | 85% | 1 | ✓ |
| João Neves | tackles | 1+ | 83% | 2 | ✓ |
| Nico Williams | shots total | 1+ | 83% | 1 | ✓ |
| Khvicha Kvaratskhelia | fouls drawn | 1+ | 82% | 5 | ✓ |
| Gorka Guruzeta | fouls committed | 1+ | 80% | 1 | ✓ |
How these are modelled: Shots total Fouls drawn Tackles Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 49% | No | ✗ |
| Match goals | O2.5 | 43% | 0 goals | ✗ |
| Match cards | O4.5 | 26% | 4 cards | ✗ |
How these are modelled: BTTS Match cards
Dig deeper
Frequently asked
How did the SharpXI model do on Athletic Club v Paris Saint-Germain?
12 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 Athletic Club v Paris Saint-Germain?
The most confident call it got wrong was Gorka Guruzeta at 93% for shots total — 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.