Leeds v West Ham
How the SharpXI model rated this Premier League fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Leeds beat West Ham 2–1, the SharpXI model made 14 confident calls on the player markets and 13 landed — the strongest being Dominic Calvert-Lewin for 1+ shots total (94%, had 1). Its clearest miss: Oliver Scarles for 1+ tackles (91%, 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 |
|---|---|---|---|---|---|
| Dominic Calvert-Lewin | shots total | 1+ | 94% | 1 | ✓ |
| Crysencio Summerville | fouls drawn | 1+ | 92% | 1 | ✓ |
| Lucas Paquetá | tackles | 1+ | 91% | 1 | ✓ |
| Andy Irving | tackles | 1+ | 91% | 1 | ✓ |
| Mateus Fernandes | tackles | 1+ | 91% | 1 | ✓ |
| Sean Longstaff | tackles | 1+ | 91% | 4 | ✓ |
| Jean-Clair Todibo | tackles | 1+ | 91% | 3 | ✓ |
| Oliver Scarles | tackles | 1+ | 91% | 0 | ✗ |
| Lucas Paquetá | fouls drawn | 1+ | 90% | 4 | ✓ |
| Noah Okafor | shots total | 1+ | 89% | 2 | ✓ |
| Brenden Aaronson | shots total | 1+ | 89% | 3 | ✓ |
| Jarrod Bowen | shots total | 1+ | 89% | 2 | ✓ |
| Callum Wilson | shots total | 1+ | 89% | 1 | ✓ |
| Jayden Bogle | tackles | 1+ | 84% | 5 | ✓ |
How these are modelled: Shots total Fouls drawn Tackles
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 50% | Yes | ✓ |
| Match goals | O2.5 | 49% | 3 goals | ✓ |
| Match cards | O4.5 | 18% | 6 cards | ✓ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- West Ham 3–0 Leeds May 2026
- West Ham 3–1 Leeds May 2023
- Leeds 2–2 West Ham Jan 2023
Frequently asked
How did the SharpXI model do on Leeds v West Ham?
13 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 Leeds v West Ham?
The most confident call it got wrong was Oliver Scarles at 91% 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 Premier League?
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.