FC Schalke 04 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 FC Schalke 04 beat VfL Bochum 1848 3–1, the SharpXI model made 14 confident calls on the player markets and 13 landed — the strongest being Simon Terodde for 1+ shots total (94%, had 4). Its clearest miss: Philipp Förster for 1+ shots total (83%, 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 |
|---|---|---|---|---|---|
| Simon Terodde | shots total | 1+ | 94% | 4 | ✓ |
| Jordan Larsson | shots total | 1+ | 94% | 2 | ✓ |
| Simon Zoller | shots total | 1+ | 93% | 2 | ✓ |
| Rodrigo Zalazar | shots total | 1+ | 93% | 4 | ✓ |
| Marius Bülter | shots total | 1+ | 93% | 2 | ✓ |
| Philipp Hofmann | shots total | 1+ | 93% | 1 | ✓ |
| Sebastian Polter | shots total | 1+ | 93% | 1 | ✓ |
| Gerrit Holtmann | shots total | 1+ | 89% | 2 | ✓ |
| Kevin Stöger | shots total | 1+ | 84% | 1 | ✓ |
| Tobias Mohr | shots total | 1+ | 83% | 1 | ✓ |
| Anthony Losilla | shots total | 1+ | 83% | 2 | ✓ |
| Philipp Förster | shots total | 1+ | 83% | 0 | ✗ |
| Florian Flick | shots total | 1+ | 83% | 1 | ✓ |
| Dominick Drexler | shots total | 1+ | 83% | 2 | ✓ |
How these are modelled: Shots total
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| Match goals | O2.5 | 89% | 4 goals | ✓ |
| BTTS | Yes | 70% | Yes | ✓ |
| Match cards | O4.5 | 19% | 5 cards | ✓ |
How these are modelled: Match goals Match cards
Dig deeper
Past meetings
- VfL Bochum 1848 0–2 FC Schalke 04 Mar 2023
Frequently asked
How did the SharpXI model do on FC Schalke 04 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 FC Schalke 04 v VfL Bochum 1848?
The most confident call it got wrong was Philipp Förster at 83% for shots total — 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.