Pisa v Juventus
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 Pisa lost to Juventus 0–2, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Manuel Locatelli for 1+ tackles (97%, had 2). Its clearest miss: Jonathan David 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 |
|---|---|---|---|---|---|
| Mehdi Léris | tackles | 1+ | 97% | 1 | ✓ |
| Manuel Locatelli | tackles | 1+ | 97% | 2 | ✓ |
| Loïs Openda | shots total | 1+ | 95% | 1 | ✓ |
| Edon Zhegrova | shots total | 1+ | 95% | 3 | ✓ |
| Kenan Yıldız | shots total | 1+ | 95% | 3 | ✓ |
| Jonathan David | shots total | 1+ | 95% | 0 | ✗ |
| Loïs Openda | fouls drawn | 1+ | 94% | 2 | ✓ |
| Stefano Moreo | shots total | 1+ | 88% | 3 | ✓ |
| Matteo Tramoni | shots total | 1+ | 88% | 1 | ✓ |
| Isak Vural | fouls drawn | 1+ | 85% | 3 | ✓ |
| Kenan Yıldız | fouls drawn | 1+ | 85% | 2 | ✓ |
| Samuele Angori | fouls drawn | 1+ | 83% | 0 | ✗ |
| Michel Aebischer | tackles | 1+ | 82% | 1 | ✓ |
| Pierre Kalulu | tackles | 1+ | 80% | 4 | ✓ |
How these are modelled: Tackles Shots total Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 49% | No | ✗ |
| Match goals | O2.5 | 46% | 2 goals | ✗ |
| Match cards | O4.5 | 25% | 5 cards | ✓ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Juventus 4–0 Pisa Mar 2026
Frequently asked
How did the SharpXI model do on Pisa v Juventus?
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 Pisa v Juventus?
The most confident call it got wrong was Jonathan David 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.