Holstein Kiel v FC St. Pauli
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 Holstein Kiel lost to FC St. Pauli 1–2, the SharpXI model made 14 confident calls on the player markets and 9 landed — the strongest being Danel Sinani for 1+ shots total (94%, had 2). Its clearest miss: Morgan Guilavogui for 1+ shots total (93%, 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 |
|---|---|---|---|---|---|
| Danel Sinani | shots total | 1+ | 94% | 2 | ✓ |
| Oladapo Afolayan | shots total | 1+ | 93% | 1 | ✓ |
| Elias Saad | shots total | 1+ | 93% | 4 | ✓ |
| Morgan Guilavogui | shots total | 1+ | 93% | 0 | ✗ |
| Shuto Machino | shots total | 1+ | 88% | 0 | ✗ |
| Noah Weißhaupt | fouls drawn | 1+ | 87% | 4 | ✓ |
| Phil Harres | shots total | 1+ | 83% | 0 | ✗ |
| Jackson Irvine | shots total | 1+ | 83% | 2 | ✓ |
| Lasse Rosenboom | tackles | 1+ | 83% | 1 | ✓ |
| Danel Sinani | shots on target | 1+ | 83% | 1 | ✓ |
| Morgan Guilavogui | fouls committed | 1+ | 80% | 1 | ✓ |
| Manolis Saliakas | shots total | 1+ | 80% | 0 | ✗ |
| Adam Dźwigała | tackles | 1+ | 80% | 5 | ✓ |
| Max Geschwill | tackles | 1+ | 78% | 0 | ✗ |
How these are modelled: Shots total Fouls drawn Tackles Shots on target Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 55% | Yes | ✓ |
| Match goals | O2.5 | 51% | 3 goals | ✓ |
| Match cards | O4.5 | 36% | 7 cards | ✓ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- FC St. Pauli 3–1 Holstein Kiel Nov 2024
Frequently asked
How did the SharpXI model do on Holstein Kiel v FC St. Pauli?
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 Holstein Kiel v FC St. Pauli?
The most confident call it got wrong was Morgan Guilavogui at 93% 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.