Man City v Borussia Dortmund
How the SharpXI model rated this UEFA Champions League fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Man City beat Borussia Dortmund 4–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Erling Haaland for 1+ shots total (97%, had 4). Its clearest miss: Carney Chukwuemeka for 1+ tackles (77%, 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 |
|---|---|---|---|---|---|
| Erling Haaland | shots total | 1+ | 97% | 4 | ✓ |
| Tijjani Reijnders | shots total | 1+ | 93% | 2 | ✓ |
| Phil Foden | shots total | 1+ | 91% | 4 | ✓ |
| Sávio | shots total | 1+ | 87% | 3 | ✓ |
| Serhou Guirassy | shots total | 1+ | 86% | 3 | ✓ |
| Karim Adeyemi | shots total | 1+ | 83% | 5 | ✓ |
| Nico O'Reilly | tackles | 1+ | 81% | 3 | ✓ |
| Nico González | tackles | 1+ | 80% | 4 | ✓ |
| Julian Ryerson | tackles | 1+ | 78% | 2 | ✓ |
| Carney Chukwuemeka | tackles | 1+ | 77% | 0 | ✗ |
| Emre Can | tackles | 1+ | 76% | 0 | ✗ |
| Jérémy Doku | fouls drawn | 1+ | 76% | 3 | ✓ |
| Karim Adeyemi | fouls committed | 1+ | 76% | 1 | ✓ |
| Ramy Bensebaini | fouls committed | 1+ | 75% | 4 | ✓ |
How these are modelled: Shots total Tackles Fouls drawn Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match goals | O2.5 | 66% | 5 goals | ✓ |
| BTTS | Yes | 64% | Yes | ✓ |
| Match cards | O4.5 | 14% | 3 cards | ✗ |
How these are modelled: Match goals Match cards
Dig deeper
Past meetings
- Borussia Dortmund 0–0 Man City Oct 2022
- Man City 2–1 Borussia Dortmund Sep 2022
Frequently asked
How did the SharpXI model do on Man City v Borussia Dortmund?
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 Man City v Borussia Dortmund?
The most confident call it got wrong was Carney Chukwuemeka at 77% for tackles — 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 UEFA Champions League?
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.