Reading v Blackburn Rovers
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 beat Blackburn Rovers 3–0, the SharpXI model made 14 confident calls on the player markets and 6 landed — the strongest being Shane Long for 1+ fouls committed (72%, had 1). Its clearest miss: Lewis Travis for 1+ fouls drawn (73%, 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 |
|---|---|---|---|---|---|
| Lewis Travis | fouls drawn | 1+ | 73% | 0 | ✗ |
| Tom Ince | fouls drawn | 1+ | 73% | 0 | ✗ |
| Sam Gallagher | fouls committed | 1+ | 73% | 0 | ✗ |
| Shane Long | fouls committed | 1+ | 72% | 1 | ✓ |
| Mamadou Loum | fouls committed | 1+ | 72% | 3 | ✓ |
| Andy Yiadom | fouls drawn | 1+ | 71% | 1 | ✓ |
| Shane Long | fouls drawn | 1+ | 69% | 0 | ✗ |
| Ryan Hedges | fouls committed | 1+ | 69% | 0 | ✗ |
| John Buckley | fouls committed | 1+ | 68% | 0 | ✗ |
| Ben Brereton Díaz | fouls committed | 1+ | 68% | 1 | ✓ |
| Bradley Dack | fouls drawn | 1+ | 68% | 0 | ✗ |
| Bradley Dack | fouls committed | 1+ | 67% | 0 | ✗ |
| Jack Vale | fouls committed | 1+ | 67% | 2 | ✓ |
| Lewis Travis | fouls committed | 1+ | 67% | 1 | ✓ |
How these are modelled: Fouls drawn · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 14% | 7 cards | ✓ |
How these are modelled: Match cards
Dig deeper
Past meetings
- Blackburn Rovers 2–1 Reading Mar 2023
Frequently asked
How did the SharpXI model do on Reading v Blackburn Rovers?
6 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 Blackburn Rovers?
The most confident call it got wrong was Lewis Travis at 73% 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.