Santa Clara v SC Farense
How the SharpXI model rated this Primeira Liga fixture — every call it made on shots, set against what actually happened on the day.
Before Santa Clara drew with SC Farense 0–0, the SharpXI model made 14 confident calls on the player markets and 7 landed — the strongest being Rodrigo Silva for 1+ shots total (98%, had 4). Its clearest miss: Tomané for 1+ shots total (86%, 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 |
|---|---|---|---|---|---|
| Rodrigo Silva | shots total | 1+ | 98% | 4 | ✓ |
| Vinícius Lopes | shots total | 1+ | 96% | 3 | ✓ |
| Alisson Safira | shots total | 1+ | 96% | 3 | ✓ |
| Mehdi Merghem | shots total | 1+ | 86% | 0 | ✗ |
| Jaiminho | shots total | 1+ | 86% | 0 | ✗ |
| Tomané | shots total | 1+ | 86% | 0 | ✗ |
| Serginho | shots total | 1+ | 78% | 0 | ✗ |
| Gustavo Klismahn | shots total | 1+ | 78% | 0 | ✗ |
| Marco Matias | shots total | 1+ | 78% | 0 | ✗ |
| Rodrigo Silva | shots on target | 1+ | 76% | 1 | ✓ |
| Matheus Pereira | shots total | 1+ | 63% | 1 | ✓ |
| Claudio Falcão | shots total | 1+ | 63% | 1 | ✓ |
| Vinícius Lopes | shots on target | 1+ | 62% | 2 | ✓ |
| Tomané | shots on target | 1+ | 61% | 0 | ✗ |
How these are modelled: Shots total Shots on target
Dig deeper
Past meetings
- SC Farense 1–2 Santa Clara May 2025
Frequently asked
How did the SharpXI model do on Santa Clara v SC Farense?
7 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 Santa Clara v SC Farense?
The most confident call it got wrong was Tomané at 86% 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 Primeira 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.