Stoke City v Wigan Athletic
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 Stoke City lost to Wigan Athletic 0–1, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Josh Magennis for 1+ fouls committed (81%, had 3). Its clearest miss: Jacob Brown for 1+ fouls committed (81%, 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 |
|---|---|---|---|---|---|
| Josh Magennis | fouls committed | 1+ | 81% | 3 | ✓ |
| Jacob Brown | fouls committed | 1+ | 81% | 0 | ✗ |
| Nick Powell | fouls committed | 1+ | 80% | 2 | ✓ |
| Callum Lang | fouls drawn | 1+ | 80% | 5 | ✓ |
| Tyrese Campbell | shots total | 1+ | 79% | 2 | ✓ |
| Jacob Brown | fouls drawn | 1+ | 79% | 0 | ✗ |
| Callum Lang | fouls committed | 1+ | 79% | 4 | ✓ |
| Nick Powell | shots total | 1+ | 75% | 1 | ✓ |
| Josh Laurent | fouls committed | 1+ | 74% | 2 | ✓ |
| Josh Magennis | shots total | 1+ | 73% | 0 | ✗ |
| Josh Magennis | fouls drawn | 1+ | 73% | 1 | ✓ |
| Lewis Baker | shots total | 1+ | 72% | 0 | ✗ |
| Jordan Thompson | fouls committed | 1+ | 72% | 5 | ✓ |
| Jordan Thompson | fouls drawn | 1+ | 70% | 3 | ✓ |
How these are modelled: Fouls committed · Fouls drawn · Shots total
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 41% | 4 cards | ✗ |
How these are modelled: Match cards
Dig deeper
Past meetings
- Wigan Athletic 0–1 Stoke City Nov 2022
Frequently asked
How did the SharpXI model do on Stoke City v Wigan Athletic?
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 Stoke City v Wigan Athletic?
The most confident call it got wrong was Jacob Brown at 81% 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.