St Pauli vs Karlsruhe prediction
K2026-10-11 · D2 · Kickoff 2026-10-11T11:30:00+00:00 (UTC)
What is the St Pauli vs Karlsruhe prediction?
Kickstatix prediction: St Pauli (H) at 55.7%. The double-chance call is 1X at 78.0%.
This forecast was published 2026-10-09T10:14:15+00:00 before kickoff. Probabilities express uncertainty and are not a guarantee.
Full time: 2–0
1X2 prediction: ✓ Correct
GG and total goals
Market-implied full-match picks. Results use the saved one-hour pre-kickoff quote and require a verified football score.
Unavailable
No eligible pre-match quote saved. No result is scored.
Unavailable
No eligible pre-match quote saved. No result is scored.
1 · 55.7%
Medium1X · 78.0%
MediumDouble chance was published at 2026-10-09T10:14:15+00:00, before kickoff.
Market forecast cutoff
Locks one hour before kickoff: .
No eligible frozen forecast. No eligible market quote captured within 20 minutes before the one-hour cutoff. Excluded from market accuracy.
Prediction vs Market
Market sentiment unavailable. No verified market association. Our fixture and published prediction remain available.
Prediction reasoning & independent methods
- The selected source is shin_raw; H has probability 55.7%.
- Independent statistical and Elo methods agree on H; largest outcome spread 9%.
- Team news is unavailable; High confidence is disabled.
| Method | 1 | X | 2 |
|---|---|---|---|
| Elo ratings | 48.2% | 30.9% | 20.9% |
| Market · margin removed | 55.7% | 22.3% | 22.0% |
| Statistical · hierarchical Poisson | 57.1% | 21.6% | 21.3% |
Pre-match stats, form & head to head
From the original training snapshot through 2026-09-20. Averages use up to ten prior league matches.
St Pauli
Scored / game: 1.40
Conceded / game: 1.10
Clean sheets: 2 / 10
Karlsruhe
Scored / game: 1.20
Conceded / game: 2.00
Clean sheets: 1 / 10
Head to head
2024-04-06 · Karlsruhe 2–1 St Pauli
2023-10-28 · St Pauli 2–1 Karlsruhe
2023-05-28 · St Pauli 1–1 Karlsruhe
2022-11-12 · Karlsruhe 4–4 St Pauli
Team news & forecast record
Team news has not been verified.
Training ends: 2026-09-20
Data fingerprint: 443d77a6896da057be1402a08846c488319a808c7bc382a2908bb83082c5db05
Model: existing-source-policy-v1