Torino v Pisa
How the SharpXI model rated this Serie A fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Torino drew with Pisa 2–2, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Che Adams for 1+ shots total (95%, had 4). Its clearest miss: M'bala Nzola for 1+ shots total (88%, 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.
14 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 |
|---|---|---|---|---|---|
| Cyril Ngonge | shots total | 1+ | 95% | 3 | ✓ |
| Che Adams | shots total | 1+ | 95% | 4 | ✓ |
| Giovanni Simeone | shots total | 1+ | 95% | 3 | ✓ |
| Giovanni Simeone | fouls drawn | 1+ | 94% | 1 | ✓ |
| Stefano Moreo | shots total | 1+ | 88% | 3 | ✓ |
| M'bala Nzola | shots total | 1+ | 88% | 0 | ✗ |
| Michel Aebischer | tackles | 1+ | 86% | 1 | ✓ |
| Cyril Ngonge | fouls drawn | 1+ | 85% | 0 | ✗ |
| Isak Vural | fouls drawn | 1+ | 83% | 2 | ✓ |
| Gvidas Gineitis | fouls drawn | 1+ | 83% | 0 | ✗ |
| Cesare Casadei | fouls committed | 1+ | 82% | 2 | ✓ |
| Antonio Caracciolo | tackles | 1+ | 80% | 3 | ✓ |
| Samuele Angori | tackles | 1+ | 80% | 0 | ✗ |
| Gvidas Gineitis | tackles | 1+ | 80% | 1 | ✓ |
How these are modelled: Shots total Fouls drawn Tackles Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 6% | 3 cards | ✗ |
How these are modelled: Match cards
Dig deeper
Past meetings
- Pisa 0–1 Torino Apr 2026
Frequently asked
How did the SharpXI model do on Torino v Pisa?
10 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 Torino v Pisa?
The most confident call it got wrong was M'bala Nzola at 88% 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 Serie A?
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.