Burnley v Oxford United
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 Burnley beat Oxford United 1–0, the SharpXI model made 14 confident calls on the player markets and 9 landed — the strongest being Hannibal Mejbri for 1+ fouls committed (86%, had 3). Its clearest miss: Mark Harris for 1+ fouls committed (76%, 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 |
|---|---|---|---|---|---|
| Hannibal Mejbri | fouls committed | 1+ | 86% | 3 | ✓ |
| Alex Matos | fouls committed | 1+ | 85% | 3 | ✓ |
| Siriki Dembélé | fouls drawn | 1+ | 83% | 2 | ✓ |
| Zian Flemming | fouls committed | 1+ | 82% | 2 | ✓ |
| Zian Flemming | shots total | 1+ | 82% | 2 | ✓ |
| Hannibal Mejbri | fouls drawn | 1+ | 81% | 2 | ✓ |
| Jaidon Anthony | shots total | 1+ | 78% | 1 | ✓ |
| Lyle Foster | shots total | 1+ | 76% | 5 | ✓ |
| Mark Harris | fouls committed | 1+ | 76% | 0 | ✗ |
| Tom Bradshaw | fouls committed | 1+ | 74% | 0 | ✗ |
| Josh Laurent | fouls committed | 1+ | 72% | 0 | ✗ |
| Tyler Goodrham | fouls committed | 1+ | 72% | 0 | ✗ |
| Lyle Foster | fouls committed | 1+ | 72% | 0 | ✗ |
| Josh Cullen | fouls drawn | 1+ | 70% | 4 | ✓ |
How these are modelled: Fouls committed · Fouls drawn · Shots total
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 31% | 4 cards | ✗ |
| BTTS | Yes | 31% | No | ✗ |
| Match goals | O2.5 | 28% | 1 goals | ✗ |
How these are modelled: Match cards · BTTS
Dig deeper
Past meetings
- Oxford United 0–0 Burnley Sep 2024
Frequently asked
How did the SharpXI model do on Burnley v Oxford United?
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 Burnley v Oxford United?
The most confident call it got wrong was Mark Harris at 76% for fouls committed — 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.