Hull City v Portsmouth
How the SharpXI model rated this Championship fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Hull City beat Portsmouth 3–2, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Joe Gelhardt for 1+ shots total (95%, had 2). Its clearest miss: Matt Crooks for 1+ tackles (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 |
|---|---|---|---|---|---|
| Josh Murphy | shots total | 1+ | 95% | 2 | ✓ |
| Joe Gelhardt | shots total | 1+ | 95% | 2 | ✓ |
| Jordan Lee Williams | tackles | 1+ | 91% | 2 | ✓ |
| Enis Destan | shots total | 1+ | 90% | 1 | ✓ |
| Conor Chaplin | shots total | 1+ | 89% | 2 | ✓ |
| Terry Devlin | tackles | 1+ | 89% | 3 | ✓ |
| Matt Crooks | tackles | 1+ | 86% | 0 | ✗ |
| Josh Murphy | fouls drawn | 1+ | 86% | 0 | ✗ |
| Joe Gelhardt | fouls drawn | 1+ | 86% | 3 | ✓ |
| Kyle Joseph | fouls committed | 1+ | 85% | 1 | ✓ |
| Matt Crooks | fouls committed | 1+ | 85% | 0 | ✗ |
| Colby Bishop | shots total | 1+ | 82% | 0 | ✗ |
| Kyle Joseph | shots total | 1+ | 82% | 4 | ✓ |
| Amir Hadžiahmetović | tackles | 1+ | 80% | 3 | ✓ |
How these are modelled: Shots total Tackles Fouls drawn Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 62% | Yes | ✓ |
| Match goals | O2.5 | 61% | 5 goals | ✓ |
| Match cards | O4.5 | 43% | 4 cards | ✗ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Portsmouth 0–1 Hull City Feb 2026
- Portsmouth 1–1 Hull City May 2025
- Hull City 1–1 Portsmouth Nov 2024
Frequently asked
How did the SharpXI model do on Hull City v Portsmouth?
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 Hull City v Portsmouth?
The most confident call it got wrong was Matt Crooks at 86% 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 Championship?
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.