Middlesbrough 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 Middlesbrough beat Reading 5–0, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Chuba Akpom for 1+ fouls drawn (79%, had 5). Its clearest miss: Cesare Casadei for 1+ fouls committed (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.
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 |
|---|---|---|---|---|---|
| Chuba Akpom | fouls drawn | 1+ | 79% | 5 | ✓ |
| Andy Yiadom | fouls committed | 1+ | 78% | 2 | ✓ |
| Chuba Akpom | shots total | 1+ | 77% | 3 | ✓ |
| Yakou Méïté | fouls committed | 1+ | 76% | 1 | ✓ |
| Cameron Archer | shots total | 1+ | 76% | 1 | ✓ |
| Marcus Forss | shots total | 1+ | 76% | 1 | ✓ |
| Cesare Casadei | fouls committed | 1+ | 75% | 0 | ✗ |
| Riley McGree | shots total | 1+ | 74% | 1 | ✓ |
| Tom Ince | fouls drawn | 1+ | 73% | 3 | ✓ |
| Shane Long | fouls committed | 1+ | 73% | 1 | ✓ |
| Yakou Méïté | shots total | 1+ | 72% | 1 | ✓ |
| Hayden Hackney | fouls committed | 1+ | 72% | 1 | ✓ |
| Cameron Archer | fouls committed | 1+ | 71% | 1 | ✓ |
| Andy Carroll | fouls committed | 1+ | 71% | 0 | ✗ |
How these are modelled: Fouls drawn · Fouls committed · Shots total
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 41% | 3 cards | ✗ |
How these are modelled: Match cards
Dig deeper
Past meetings
- Reading 1–0 Middlesbrough Aug 2022
Frequently asked
How did the SharpXI model do on Middlesbrough v Reading?
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 Middlesbrough v Reading?
The most confident call it got wrong was Cesare Casadei at 75% 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.