Fortuna Düsseldorf v VfL Bochum 1848
How the SharpXI model rated this Bundesliga fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Fortuna Düsseldorf lost to VfL Bochum 1848 5–9, the SharpXI model made 14 confident calls on the player markets and 13 landed — the strongest being Gonçalo Paciência for 1+ shots total (91%, had 1). Its clearest miss: Maximilian Wittek for 1+ fouls drawn (76%, 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 |
|---|---|---|---|---|---|
| Gonçalo Paciência | shots total | 1+ | 91% | 1 | ✓ |
| Gonçalo Paciência | fouls drawn | 1+ | 85% | 1 | ✓ |
| Takuma Asano | shots total | 1+ | 84% | 2 | ✓ |
| Christos Tzolis | shots total | 1+ | 84% | 2 | ✓ |
| Philipp Hofmann | shots total | 1+ | 83% | 3 | ✓ |
| Kevin Stöger | fouls drawn | 1+ | 82% | 2 | ✓ |
| Vincent Vermeij | shots total | 1+ | 82% | 3 | ✓ |
| Christoph Daferner | shots total | 1+ | 81% | 2 | ✓ |
| Jona Niemiec | shots total | 1+ | 80% | 2 | ✓ |
| Kevin Stöger | shots total | 1+ | 79% | 4 | ✓ |
| Matúš Bero | fouls committed | 1+ | 78% | 2 | ✓ |
| Anthony Losilla | fouls committed | 1+ | 77% | 2 | ✓ |
| Maximilian Wittek | shots total | 1+ | 76% | 3 | ✓ |
| Maximilian Wittek | fouls drawn | 1+ | 76% | 0 | ✗ |
How these are modelled: Shots total · Fouls drawn · Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match cards | O4.5 | 8% | 5 cards | ✓ |
How these are modelled: Match cards
Dig deeper
Past meetings
Frequently asked
How did the SharpXI model do on Fortuna Düsseldorf v VfL Bochum 1848?
13 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 Fortuna Düsseldorf v VfL Bochum 1848?
The most confident call it got wrong was Maximilian Wittek at 76% 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 Bundesliga?
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.