Hertha BSC v TSG Hoffenheim
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 Hertha BSC drew with TSG Hoffenheim 1–1, the SharpXI model made 14 confident calls on the player markets and 8 landed — the strongest being Munas Dabbur for 1+ shots total (78%, had 2). Its clearest miss: Grischa Prömel for 1+ fouls drawn (75%, 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 |
|---|---|---|---|---|---|
| Munas Dabbur | shots total | 1+ | 78% | 2 | ✓ |
| Christoph Baumgartner | fouls committed | 1+ | 77% | 2 | ✓ |
| Dodi Lukebakio | shots total | 1+ | 77% | 4 | ✓ |
| Georginio Rutter | shots total | 1+ | 77% | 1 | ✓ |
| Chidera Ejuke | shots total | 1+ | 76% | 1 | ✓ |
| Andrej Kramarić | shots total | 1+ | 76% | 3 | ✓ |
| Grischa Prömel | fouls drawn | 1+ | 75% | 0 | ✗ |
| Suat Serdar | fouls committed | 1+ | 74% | 0 | ✗ |
| Wilfried Kanga | shots total | 1+ | 73% | 1 | ✓ |
| Dodi Lukebakio | fouls drawn | 1+ | 72% | 0 | ✗ |
| Georginio Rutter | fouls committed | 1+ | 72% | 0 | ✗ |
| Ozan Kabak | fouls committed | 1+ | 71% | 1 | ✓ |
| Chidera Ejuke | fouls drawn | 1+ | 71% | 0 | ✗ |
| Angelo Stiller | fouls committed | 1+ | 70% | 0 | ✗ |
How these are modelled: Shots total · Fouls committed · Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 58% | Yes | ✓ |
| Match goals | O2.5 | 55% | 2 goals | ✗ |
| Match cards | O4.5 | 45% | 3 cards | ✗ |
How these are modelled: BTTS · Match cards
Dig deeper
Past meetings
- TSG Hoffenheim 3–1 Hertha BSC Mar 2023
Frequently asked
How did the SharpXI model do on Hertha BSC v TSG Hoffenheim?
8 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 Hertha BSC v TSG Hoffenheim?
The most confident call it got wrong was Grischa Prömel at 75% 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.