Oxford United v Southampton
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 Oxford United beat Southampton 2–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Leo Scienza for 1+ fouls drawn (88%, had 2). Its clearest miss: Filip Krastev for 1+ fouls committed (74%, 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 |
|---|---|---|---|---|---|
| Leo Scienza | fouls drawn | 1+ | 88% | 2 | ✓ |
| Adam Armstrong | shots total | 1+ | 87% | 3 | ✓ |
| Leo Scienza | shots total | 1+ | 83% | 3 | ✓ |
| Finn Azaz | shots total | 1+ | 80% | 4 | ✓ |
| Jay Robinson | shots total | 1+ | 80% | 2 | ✓ |
| Flynn Downes | fouls committed | 1+ | 79% | 1 | ✓ |
| Oriol Romeu | fouls committed | 1+ | 78% | 1 | ✓ |
| Tyler Goodrham | fouls committed | 1+ | 78% | 2 | ✓ |
| Przemysław Płacheta | shots total | 1+ | 75% | 4 | ✓ |
| Filip Krastev | fouls committed | 1+ | 74% | 0 | ✗ |
| Stanley Mills | fouls committed | 1+ | 74% | 1 | ✓ |
| Jay Robinson | fouls committed | 1+ | 73% | 0 | ✗ |
| Tyler Goodrham | fouls drawn | 1+ | 73% | 2 | ✓ |
| Luke Harris | fouls committed | 1+ | 71% | 2 | ✓ |
How these are modelled: Fouls drawn · Shots total · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 56% | Yes | ✓ |
| Match goals | O2.5 | 54% | 3 goals | ✓ |
| Match cards | O4.5 | 40% | 3 cards | ✗ |
How these are modelled: BTTS · Match cards
Dig deeper
Past meetings
- Southampton 2–0 Oxford United Mar 2026
Frequently asked
How did the SharpXI model do on Oxford United v Southampton?
12 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 Oxford United v Southampton?
The most confident call it got wrong was Filip Krastev at 74% 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.