Predictions / Football / Switzerland. Super League / FC ST. Gallen vs FC Thun

Prediction Audit: FC ST. Gallen vs FC Thun Prediction, Odds & AI Betting Tips

FC ST. Gallen FC ST. Gallen
Aug 30, 2026 - 14:30
3 2.35
4 1.26
xG Accuracy: 39%
FC Thun FC Thun

The model missed the final outcome (FC Thun win 3–4).

The model had projected FC ST. Gallen at 59.6%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (7 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 FC ST. Gallen FC Thun ✖ Incorrect
  • Correct Score Insights 2-1, 1-1, 2-0, 3-1, 1-0 3-4 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: FC ST. Gallen +2.1 pp

Outcome Model Closing Market Difference Signal
FC ST. Gallen 59.6% 57.5% +2.1 pp Aligned
Draw 21.5% 22.1% -0.6 pp Aligned
FC Thun 18.9% 20.4% -1.5 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was FC Thun win 3–4.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.61) — 7 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned FC ST. Gallen; match finished FC Thun
  • Exact score: outside the model's top score bins

Market lesson

The full-time result was FC Thun win 3–4, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 30, 2026 · 19:28 UTC Forecast generated
    • Model 1X2 · FC ST. Gallen 59.6% · Draw 21.5% · FC Thun 18.9%
    • xG · FC ST. Gallen 2.35 — FC Thun 1.26
  2. Aug 30, 2026 · 14:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC ST. Gallen 1.68 · Draw 4.37 · FC Thun 4.72
    • Implied 1X2 · FC ST. Gallen 57.5% · Draw 22.1% · FC Thun 20.4%
    • Bookmaker · Pinnacle
  3. Aug 30, 2026 · 14:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · FC ST. Gallen 1.68 · Draw 4.37 · FC Thun 4.72
    • Implied 1X2 · FC ST. Gallen 57.5% · Draw 22.1% · FC Thun 20.4%
    • Bookmaker · Pinnacle
  4. Aug 30, 2026 · 14:30 UTC Kickoff
  5. FT Full-time result FC Thun win · 3–4
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 72/100 · High
  • Validation: Pass
  • High xG deviation from league baseline (74%+)
Evidence ★★★★★
  • Strong model lean
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 89/100
Betting Confidence 75/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 01:54 UTC Snapshot ID: dp-5296277

Closing Odds 1.68
AI Fair Odds —
CLV Pending
Final Result FC Thun win · FC ST. Gallen 3–4 FC Thun
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Super League
  • Fixture: FC ST. Gallen vs FC Thun
  • Kickoff: 2026-08-30 14:30:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): FC ST. Gallen 2.35 — FC Thun 1.26 (total xG ≈ 3.61)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 29, 2026 (UTC)

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Super League Super League — Standings
# TEAM MP W D L PTS
1 FC Lugano 9 8 1 0 25
2 BSC Young Boys 9 5 4 0 19
3 FC Sion 9 6 1 2 19
4 FC Basel 1893 9 4 1 4 13
5 FC ST. Gallen 9 4 1 4 13
6 FC Luzern 9 3 3 3 12
7 FC Zurich 9 3 2 4 11
8 Servette FC 9 3 1 5 10
9 FC Thun 9 3 1 5 10
10 Grasshoppers 9 2 2 5 8
11 FC Vaduz 9 2 0 7 6
12 Lausanne 9 1 3 5 6
# TEAM MP GS GC +/- PTS
1 BSC Young Boys 9 31 18 +13 19
2 FC Lugano 9 27 7 +20 25
3 FC Sion 9 23 14 +9 19
4 FC Vaduz 9 18 21 -3 6
5 FC Basel 1893 9 17 17 0 13
6 FC Luzern 9 17 18 -1 12
7 FC ST. Gallen 9 16 19 -3 13
8 FC Thun 9 15 23 -8 10
9 FC Zurich 9 14 20 -6 11
10 Grasshoppers 9 13 24 -11 8
11 Servette FC 9 11 13 -2 10
12 Lausanne 9 7 15 -8 6
# TEAM MP xG xGC +/- PTS
1 FC ST. Gallen 9 13.1 8.8 +4.3 13
2 FC Sion 9 12.0 7.9 +4.1 19
3 BSC Young Boys 9 10.9 6.8 +4.1 19
4 FC Lugano 9 9.0 5.6 +3.4 25
5 Servette FC 9 7.0 6.7 +0.3 10
6 FC Basel 1893 9 7.0 6.8 +0.2 13
7 Grasshoppers 9 8.8 9.1 -0.3 8
8 Lausanne 9 4.3 5.8 -1.5 6
9 FC Zurich 9 6.4 8.3 -1.9 11
10 FC Luzern 9 6.7 9.7 -3.0 12
11 FC Vaduz 9 8.4 12.1 -3.7 6
12 FC Thun 9 6.7 12.7 -6.0 10