Reading v Birmingham City
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 Reading drew with Birmingham City 1–1, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Lukas Jutkiewicz for 1+ fouls committed (80%, had 1). Its clearest miss: Yakou Méïté for 1+ fouls drawn (75%, 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.
3 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 |
|---|---|---|---|---|---|
| Lukas Jutkiewicz | fouls committed | 1+ | 80% | 1 | ✓ |
| Lukas Jutkiewicz | shots total | 1+ | 78% | 3 | ✓ |
| Andy Yiadom | fouls drawn | 1+ | 78% | 1 | ✓ |
| Hannibal Mejbri | fouls drawn | 1+ | 77% | 1 | ✓ |
| Tahith Chong | fouls drawn | 1+ | 76% | 2 | ✓ |
| Andy Yiadom | fouls committed | 1+ | 76% | 2 | ✓ |
| Yakou Méïté | shots total | 1+ | 75% | 1 | ✓ |
| Yakou Méïté | fouls drawn | 1+ | 75% | 0 | ✗ |
| Lukas Jutkiewicz | fouls drawn | 1+ | 75% | 1 | ✓ |
| Scott Hogan | shots total | 1+ | 75% | 0 | ✗ |
| Hannibal Mejbri | fouls committed | 1+ | 74% | 0 | ✗ |
| Jobe Bellingham | shots total | 1+ | 73% | 0 | ✗ |
| Andy Carroll | shots total | 1+ | 72% | 3 | ✓ |
| Lucas João | fouls drawn | 1+ | 72% | 2 | ✓ |
How these are modelled: Fouls committed · Shots total · Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 28% | 2 cards | ✗ |
How these are modelled: Match cards
Dig deeper
Past meetings
- Birmingham City 3–2 Reading Dec 2022
Frequently asked
How did the SharpXI model do on Reading v Birmingham City?
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 Reading v Birmingham City?
The most confident call it got wrong was Yakou Méïté at 75% 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.