Luton v Gillingham
How the SharpXI model rated this EFL Cup fixture — every call it made on shots, fouls and tackles, set against what actually happened on the day.
Before Luton beat Gillingham 3–2, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Ross Barkley for 1+ shots total (97%, had 1). Its clearest miss: Marvelous Nakamba for 1+ tackles (88%, 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.
2 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 |
|---|---|---|---|---|---|
| Cauley Woodrow | shots total | 1+ | 97% | 4 | ✓ |
| Ross Barkley | shots total | 1+ | 97% | 1 | ✓ |
| Jacob Brown | shots total | 1+ | 89% | 4 | ✓ |
| Marvelous Nakamba | tackles | 1+ | 88% | 0 | ✗ |
| Cauley Woodrow | shots on target | 1+ | 86% | 2 | ✓ |
| Luke Berry | shots total | 1+ | 84% | 1 | ✓ |
| Chiedozie Ogbene | shots total | 1+ | 84% | 0 | ✗ |
| Macauley Bonne | shots total | 1+ | 83% | 1 | ✓ |
| Alfie Doughty | shots total | 1+ | 83% | 2 | ✓ |
| Pelly Ruddock Mpanzu | shots total | 1+ | 83% | 1 | ✓ |
| Jacob Brown | fouls committed | 1+ | 78% | 0 | ✗ |
| Jacob Brown | fouls drawn | 1+ | 78% | 1 | ✓ |
| Chiedozie Ogbene | fouls drawn | 1+ | 78% | 1 | ✓ |
| Ross Barkley | fouls drawn | 1+ | 76% | 0 | ✗ |
How these are modelled: Shots total Tackles Shots on target Fouls committed Fouls drawn
Dig deeper
Past meetings
- Gillingham 0–3 Luton Aug 2026
Frequently asked
How did the SharpXI model do on Luton v Gillingham?
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 Luton v Gillingham?
The most confident call it got wrong was Marvelous Nakamba at 88% 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 EFL Cup?
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.