Empoli v Torino
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 Empoli lost to Torino 0–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Che Adams for 1+ shots total (95%, had 3). Its clearest miss: Alieu Njie 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 |
|---|---|---|---|---|---|
| Che Adams | shots total | 1+ | 95% | 3 | ✓ |
| Yann Karamoh | shots total | 1+ | 95% | 2 | ✓ |
| Sebastiano Esposito | shots total | 1+ | 95% | 2 | ✓ |
| Alieu Njie | shots total | 1+ | 95% | 0 | ✗ |
| Nikola Vlašić | shots total | 1+ | 88% | 2 | ✓ |
| Lorenzo Colombo | shots total | 1+ | 88% | 3 | ✓ |
| Antonio Sanabria | shots total | 1+ | 88% | 2 | ✓ |
| Samuele Ricci | fouls drawn | 1+ | 85% | 1 | ✓ |
| Alieu Njie | fouls drawn | 1+ | 85% | 1 | ✓ |
| Sebastiano Esposito | fouls drawn | 1+ | 85% | 3 | ✓ |
| Yann Karamoh | fouls drawn | 1+ | 85% | 0 | ✗ |
| Karol Linetty | fouls committed | 1+ | 83% | 2 | ✓ |
| Lorenzo Colombo | fouls drawn | 1+ | 83% | 1 | ✓ |
| Youssef Maleh | fouls drawn | 1+ | 83% | 1 | ✓ |
How these are modelled: Shots total Fouls drawn Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 37% | No | ✗ |
| Match cards | O4.5 | 32% | 6 cards | ✓ |
| Match goals | O2.5 | 29% | 1 goals | ✗ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Torino 1–0 Empoli Mar 2025
- Empoli 3–2 Torino Apr 2024
- Torino 1–0 Empoli Dec 2023
- Empoli 2–2 Torino Jan 2023
- Torino 1–1 Empoli Oct 2022
Frequently asked
How did the SharpXI model do on Empoli v Torino?
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 Empoli v Torino?
The most confident call it got wrong was Alieu Njie 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 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.