Salernitana 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 Salernitana lost to Torino 0–3, 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: Loum Tchaouna 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.
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 |
|---|---|---|---|---|---|
| Duván Zapata | shots total | 1+ | 95% | 2 | ✓ |
| Nemanja Radonjić | shots total | 1+ | 95% | 4 | ✓ |
| Demba Seck | shots total | 1+ | 95% | 3 | ✓ |
| Jovane Cabral | shots total | 1+ | 88% | 5 | ✓ |
| Loum Tchaouna | shots total | 1+ | 88% | 0 | ✗ |
| Chukwubuikem Ikwuemesi | shots total | 1+ | 88% | 3 | ✓ |
| Grigoris Kastanos | fouls drawn | 1+ | 85% | 0 | ✗ |
| Demba Seck | fouls drawn | 1+ | 85% | 3 | ✓ |
| Duván Zapata | fouls drawn | 1+ | 85% | 3 | ✓ |
| Brandon Soppy | fouls drawn | 1+ | 83% | 0 | ✗ |
| Jovane Cabral | fouls drawn | 1+ | 83% | 3 | ✓ |
| Antonio Candreva | fouls drawn | 1+ | 83% | 1 | ✓ |
| Loum Tchaouna | fouls drawn | 1+ | 81% | 0 | ✗ |
| Brandon Soppy | fouls committed | 1+ | 81% | 1 | ✓ |
How these are modelled: Shots total Fouls drawn Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 43% | No | ✗ |
| Match goals | O2.5 | 37% | 3 goals | ✓ |
| Match cards | O4.5 | 36% | 4 cards | ✗ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Torino 0–0 Salernitana Feb 2024
- Torino 1–1 Salernitana Apr 2023
- Salernitana 1–1 Torino Jan 2023
Frequently asked
How did the SharpXI model do on Salernitana v Torino?
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 Salernitana v Torino?
The most confident call it got wrong was Loum Tchaouna 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.