Stirling vs Forfar prediction
F2026-10-31 · SC3 · Kickoff 2026-10-31T15:00:00+00:00 (UTC)
What is the Stirling vs Forfar prediction?
Kickstatix prediction: Stirling (H) at 48.5%. The double-chance call is 12 at 75.1%.
This forecast was published 2026-10-30T09:55:56+00:00 before kickoff. Probabilities express uncertainty and are not a guarantee.
Full time: 5–2
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 · 48.5%
Low12 · 75.1%
LowDouble chance was published at 2026-10-30T09:55:56+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 48.5%.
- Methods disagree: largest outcome spread 15%. Confidence reduced to Low.
- Team news is unavailable; High confidence is disabled.
| Method | 1 | X | 2 |
|---|---|---|---|
| Elo ratings | 33.8% | 38.1% | 28.1% |
| Market · margin removed | 48.5% | 24.9% | 26.6% |
| Statistical · hierarchical Poisson | 46.4% | 26.3% | 27.3% |
Pre-match stats, form & head to head
From the original training snapshot through 2026-10-17. Averages use up to ten prior league matches.
Stirling
Scored / game: 1.20
Conceded / game: 2.40
Clean sheets: 1 / 10
Forfar
Scored / game: 1.00
Conceded / game: 1.90
Clean sheets: 2 / 10
Head to head
2026-08-15 · Forfar 3–0 Stirling
2026-03-14 · Stirling 0–3 Forfar
2026-01-24 · Forfar 0–1 Stirling
2025-11-15 · Stirling 0–4 Forfar
2025-08-16 · Forfar 4–2 Stirling
Team news & forecast record
Team news has not been verified.
Training ends: 2026-10-17
Data fingerprint: ade6319eb67242dc4b3b86dfc7c9ba28d73a420e6fafaab07109ada9687df498
Model: existing-source-policy-v1