Luton v Wolves
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 Luton drew with Wolves 1–1, the SharpXI model made 14 confident calls on the player markets and 9 landed — the strongest being Carlton Morris for 1+ shots total (94%, had 3). Its clearest miss: Matheus Cunha for 1+ shots total (94%, 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.
9 matches on record — too few to quote a card rate against. See the record
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 |
|---|---|---|---|---|---|
| Matheus Cunha | shots total | 1+ | 94% | 0 | ✗ |
| Carlton Morris | shots total | 1+ | 94% | 3 | ✓ |
| Hwang Hee-chan | shots total | 1+ | 94% | 0 | ✗ |
| Pedro Neto | shots total | 1+ | 94% | 1 | ✓ |
| Marvelous Nakamba | tackles | 1+ | 92% | 6 | ✓ |
| João Gomes | tackles | 1+ | 91% | 1 | ✓ |
| Alfie Doughty | tackles | 1+ | 91% | 0 | ✗ |
| Mario Lemina | tackles | 1+ | 91% | 0 | ✗ |
| Rayan Aït-Nouri | tackles | 1+ | 91% | 2 | ✓ |
| Amari'i Bell | tackles | 1+ | 91% | 4 | ✓ |
| Chiedozie Ogbene | fouls drawn | 1+ | 90% | 3 | ✓ |
| Jean-Ricner Bellegarde | shots total | 1+ | 89% | 0 | ✗ |
| Chiedozie Ogbene | shots total | 1+ | 89% | 1 | ✓ |
| Jacob Brown | shots total | 1+ | 89% | 4 | ✓ |
How these are modelled: Shots total Tackles Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 34% | 3 cards | ✗ |
How these are modelled: Match cards
Dig deeper
Past meetings
- Wolves 2–1 Luton Apr 2024
Frequently asked
How did the SharpXI model do on Luton v Wolves?
9 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 Luton v Wolves?
The most confident call it got wrong was Matheus Cunha at 94% 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 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.