Birmingham City v Reading
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 Birmingham City beat Reading 3–2, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Yakou Méïté for 1+ shots total (88%, had 4). Its clearest miss: Lucas João for 1+ fouls drawn (86%, 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 |
|---|---|---|---|---|---|
| Yakou Méïté | shots total | 1+ | 88% | 4 | ✓ |
| Lucas João | fouls drawn | 1+ | 86% | 0 | ✗ |
| Maxime Colin | tackles | 1+ | 86% | 2 | ✓ |
| Auston Trusty | tackles | 1+ | 86% | 3 | ✓ |
| Juninho Bacuna | tackles | 1+ | 86% | 1 | ✓ |
| Hannibal Mejbri | tackles | 1+ | 86% | 2 | ✓ |
| Krystian Bielik | tackles | 1+ | 86% | 6 | ✓ |
| Rahman Baba | tackles | 1+ | 86% | 3 | ✓ |
| Lucas João | shots total | 1+ | 82% | 1 | ✓ |
| Tom Ince | shots total | 1+ | 82% | 5 | ✓ |
| Shane Long | shots total | 1+ | 82% | 0 | ✗ |
| Andy Yiadom | tackles | 1+ | 80% | 3 | ✓ |
| Jordan James | tackles | 1+ | 80% | 0 | ✗ |
| Mamadou Loum | tackles | 1+ | 80% | 7 | ✓ |
How these are modelled: Shots total Fouls drawn Tackles
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 39% | 2 cards | ✗ |
| BTTS | Yes | 13% | Yes | ✓ |
| Match goals | O2.5 | 13% | 5 goals | ✓ |
How these are modelled: Match cards BTTS
Dig deeper
Past meetings
- Reading 1–1 Birmingham City Apr 2023
Frequently asked
How did the SharpXI model do on Birmingham City v Reading?
11 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 Birmingham City v Reading?
The most confident call it got wrong was Lucas João at 86% for fouls drawn — 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.