Torino v Sampdoria
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 beat Sampdoria 2–0, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Nemanja Radonjić for 1+ shots total (95%, had 4). Its clearest miss: Aleksey Miranchuk 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 |
|---|---|---|---|---|---|
| Nemanja Radonjić | shots total | 1+ | 95% | 4 | ✓ |
| Manolo Gabbiadini | shots total | 1+ | 95% | 1 | ✓ |
| Filip Đuričić | fouls drawn | 1+ | 94% | 1 | ✓ |
| Daniele Montevago | shots total | 1+ | 88% | 4 | ✓ |
| Nikola Vlašić | shots total | 1+ | 88% | 2 | ✓ |
| Karol Linetty | fouls committed | 1+ | 87% | 1 | ✓ |
| Aleksey Miranchuk | shots total | 1+ | 86% | 0 | ✗ |
| Tomás Rincón | tackles | 1+ | 86% | 2 | ✓ |
| Valerio Verre | tackles | 1+ | 86% | 0 | ✗ |
| Perr Schuurs | tackles | 1+ | 86% | 0 | ✗ |
| Bartosz Bereszyński | tackles | 1+ | 86% | 1 | ✓ |
| Francesco Caputo | fouls drawn | 1+ | 85% | 3 | ✓ |
| Samuele Ricci | fouls drawn | 1+ | 85% | 7 | ✓ |
| Manolo Gabbiadini | fouls drawn | 1+ | 85% | 0 | ✗ |
How these are modelled: Shots total Fouls drawn Fouls committed Tackles
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 60% | 4 cards | ✗ |
| BTTS | Yes | 40% | No | ✗ |
| Match goals | O2.5 | 37% | 2 goals | ✗ |
How these are modelled: Match cards BTTS
Dig deeper
Past meetings
- Sampdoria 0–2 Torino May 2023
Frequently asked
How did the SharpXI model do on Torino v Sampdoria?
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 Sampdoria?
The most confident call it got wrong was Aleksey Miranchuk 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 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.