Rotherham United v Leeds
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 Rotherham United drew with Leeds 1–1, the SharpXI model made 14 confident calls on the player markets and 9 landed — the strongest being Joël Piroe for 1+ shots total (84%, had 4). Its clearest miss: Fred Onyedinma for 1+ fouls committed (78%, 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 |
|---|---|---|---|---|---|
| Joël Piroe | shots total | 1+ | 84% | 4 | ✓ |
| Patrick Bamford | shots total | 1+ | 84% | 1 | ✓ |
| Crysencio Summerville | shots total | 1+ | 83% | 5 | ✓ |
| Daniel James | shots total | 1+ | 82% | 3 | ✓ |
| Georginio Rutter | shots total | 1+ | 82% | 1 | ✓ |
| Wilfried Gnonto | fouls drawn | 1+ | 81% | 2 | ✓ |
| Fred Onyedinma | fouls committed | 1+ | 78% | 0 | ✗ |
| Ian Poveda | fouls drawn | 1+ | 76% | 0 | ✗ |
| Ian Poveda | shots total | 1+ | 75% | 0 | ✗ |
| Crysencio Summerville | fouls drawn | 1+ | 75% | 2 | ✓ |
| Georginio Rutter | fouls drawn | 1+ | 75% | 2 | ✓ |
| Wilfried Gnonto | shots total | 1+ | 75% | 2 | ✓ |
| Patrick Bamford | fouls drawn | 1+ | 73% | 0 | ✗ |
| Patrick Bamford | fouls committed | 1+ | 73% | 0 | ✗ |
How these are modelled: Shots total · Fouls drawn · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match goals | O2.5 | 54% | 2 goals | ✗ |
| BTTS | Yes | 39% | Yes | ✓ |
| Match cards | O4.5 | 36% | 0 cards | ✗ |
How these are modelled: Match goals · Match cards
Dig deeper
Past meetings
- Leeds 3–0 Rotherham United Feb 2024
Frequently asked
How did the SharpXI model do on Rotherham United v Leeds?
9 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 Rotherham United v Leeds?
The most confident call it got wrong was Fred Onyedinma at 78% 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.