Torreense v Casa Pia
How the SharpXI model rated this Primeira Liga fixture — every call it made on shots, set against what actually happened on the day.
Before Torreense drew with Casa Pia 0–0, the SharpXI model made 12 confident calls on the player markets and 8 landed — the strongest being Dailon Rocha Livramento for 1+ shots total (86%, had 1). Its clearest miss: Jérémy Livolant for 1+ shots total (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.
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 |
|---|---|---|---|---|---|
| Dailon Rocha Livramento | shots total | 1+ | 86% | 1 | ✓ |
| Gaizka Larrazabal | shots total | 1+ | 79% | 1 | ✓ |
| Cassiano | shots total | 1+ | 78% | 2 | ✓ |
| Jérémy Livolant | shots total | 1+ | 76% | 0 | ✗ |
| Alejandro Alfaro | shots total | 1+ | 63% | 4 | ✓ |
| Dany Jean | shots total | 1+ | 63% | 2 | ✓ |
| Guilherme Liberato | shots total | 1+ | 63% | 0 | ✗ |
| Dailon Rocha Livramento | shots on target | 1+ | 59% | 1 | ✓ |
| Lawrence Ofori | shots total | 1+ | 54% | 1 | ✓ |
| Pedro Rosas | shots total | 1+ | 54% | 0 | ✗ |
| João Marques | shots total | 1+ | 54% | 0 | ✗ |
| David Sousa | shots total | 1+ | 51% | 1 | ✓ |
| Gaizka Larrazabal | shots on target | 1+ | 48% | 1 | ✓ |
| Iyad Mohamed | shots total | 1+ | 47% | 0 | ✗ |
How these are modelled: Shots total Shots on target
Dig deeper
Past meetings
- Casa Pia 2–0 Torreense May 2026
Frequently asked
How did the SharpXI model do on Torreense v Casa Pia?
8 of its 12 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 Torreense v Casa Pia?
The most confident call it got wrong was Jérémy Livolant at 76% 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.