Cádiz v Girona FC
How the SharpXI model rated this La Liga fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Cádiz lost to Girona FC 0–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Chris Ramos for 1+ shots total (94%, had 3). Its clearest miss: Artem Dovbyk for 1+ shots total (95%, 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 |
|---|---|---|---|---|---|
| Artem Dovbyk | shots total | 1+ | 95% | 0 | ✗ |
| Chris Ramos | shots total | 1+ | 94% | 3 | ✓ |
| Maximiliano Gómez | shots total | 1+ | 92% | 0 | ✗ |
| Yangel Herrera | fouls committed | 1+ | 90% | 1 | ✓ |
| Pablo Torre | fouls drawn | 1+ | 88% | 1 | ✓ |
| Gonzalo Escalante | tackles | 1+ | 86% | 1 | ✓ |
| Yan Couto | tackles | 1+ | 86% | 3 | ✓ |
| Chris Ramos | fouls committed | 1+ | 86% | 1 | ✓ |
| Iván Alejo | fouls committed | 1+ | 86% | 1 | ✓ |
| Rubén Alcaraz | fouls committed | 1+ | 86% | 4 | ✓ |
| Iván Alejo | fouls drawn | 1+ | 86% | 4 | ✓ |
| Yangel Herrera | fouls drawn | 1+ | 86% | 3 | ✓ |
| Iza Carcelén | tackles | 1+ | 85% | 2 | ✓ |
| Yangel Herrera | tackles | 1+ | 83% | 1 | ✓ |
How these are modelled: Shots total Fouls committed Fouls drawn Tackles
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 69% | 5 cards | ✓ |
| BTTS | Yes | 66% | No | ✗ |
| Match goals | O2.5 | 61% | 1 goals | ✗ |
How these are modelled: Match cards BTTS
Dig deeper
Past meetings
- Girona FC 4–1 Cádiz Apr 2024
- Cádiz 2–0 Girona FC Feb 2023
- Girona FC 1–1 Cádiz Oct 2022
Frequently asked
How did the SharpXI model do on Cádiz v Girona FC?
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 Cádiz v Girona FC?
The most confident call it got wrong was Artem Dovbyk at 95% 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 La Liga?
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.