Sampdoria v SSC Napoli
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 Sampdoria lost to SSC Napoli 0–2, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Mehdi Léris for 1+ tackles (97%, had 1). Its clearest miss: Tomás Rincón for 1+ tackles (97%, 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 |
|---|---|---|---|---|---|
| Tomás Rincón | tackles | 1+ | 97% | 0 | ✗ |
| Mehdi Léris | tackles | 1+ | 97% | 1 | ✓ |
| Khvicha Kvaratskhelia | shots total | 1+ | 95% | 3 | ✓ |
| Victor Osimhen | shots total | 1+ | 95% | 5 | ✓ |
| Hirving Lozano | shots total | 1+ | 95% | 1 | ✓ |
| Victor Osimhen | shots on target | 1+ | 92% | 2 | ✓ |
| Matteo Politano | shots total | 1+ | 88% | 3 | ✓ |
| Manolo Gabbiadini | shots total | 1+ | 88% | 2 | ✓ |
| Sam Lammers | shots total | 1+ | 88% | 3 | ✓ |
| Bram Nuytinck | tackles | 1+ | 87% | 6 | ✓ |
| Nicola Murru | tackles | 1+ | 87% | 5 | ✓ |
| Ronaldo Vieira | tackles | 1+ | 86% | 3 | ✓ |
| Alessandro Zanoli | tackles | 1+ | 86% | 0 | ✗ |
| Jeison Murillo | tackles | 1+ | 86% | 1 | ✓ |
How these are modelled: Tackles Shots total Shots on target
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 60% | 6 cards | ✓ |
| Match goals | O2.5 | 47% | 2 goals | ✗ |
| BTTS | Yes | 41% | No | ✗ |
How these are modelled: Match cards Match goals
Dig deeper
Past meetings
- SSC Napoli 2–0 Sampdoria Jun 2023
Frequently asked
How did the SharpXI model do on Sampdoria v SSC Napoli?
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 Sampdoria v SSC Napoli?
The most confident call it got wrong was Tomás Rincón at 97% for tackles — 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.