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

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

Servette FC Servette FC
Sep 06, 2026 - 12:00
0 1.57
2 1.62
xG Accuracy: 58%
FC ST. Gallen FC ST. Gallen

AI correctly predicted the FC ST. Gallen win.

The match finished 0–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade F

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 FC ST. Gallen FC ST. Gallen ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 2-2 0-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Servette FC higher than the statistical model.

Largest probability gap: Servette FC -9.2 pp

Outcome Model Closing Market Difference Signal
Servette FC 35.8% 45.0% -9.2 pp Market Higher
Draw 26.2% 24.1% +2.1 pp Aligned
FC ST. Gallen 38.0% 30.9% +7.1 pp Model Higher

The closing market estimates Servette FC's win probability at 45.0%, compared with the model's estimate of 35.8%, a difference of 9.2 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

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 model's directional lean matched the result (FC ST. Gallen win 0–2).

Market Assessment

The market and model broadly agree on Servette FC. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced FC ST. Gallen higher (47.2% vs model 38.0%, 9.2 pp), but the model's lean was validated (FC ST. Gallen win 0–2).

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Prediction Timeline

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

  1. Sep 06, 2026 · 19:16 UTC Forecast generated
    • Model 1X2 · Servette FC 35.8% · Draw 26.2% · FC ST. Gallen 38.0%
    • xG · Servette FC 1.57 — FC ST. Gallen 1.62
  2. Sep 06, 2026 · 11:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Servette FC 2.15 · Draw 4.02 · FC ST. Gallen 3.13
    • Implied 1X2 · Servette FC 45.0% · Draw 24.1% · FC ST. Gallen 30.9%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 12:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Servette FC 2.15 · Draw 4.02 · FC ST. Gallen 3.13
    • Implied 1X2 · Servette FC 45.0% · Draw 24.1% · FC ST. Gallen 30.9%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result FC ST. Gallen win · 0–2
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 18/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 01:29 UTC Snapshot ID: dp-6327161

Closing Odds 2.15
AI Fair Odds —
CLV Pending
Final Result FC ST. Gallen win · Servette FC 0–2 FC ST. Gallen
Prediction ✔ Correct
Decision Grade F

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

Quick read on how the model reads this matchup.

  • League: Super League
  • Fixture: Servette FC vs FC ST. Gallen
  • Kickoff: 2026-09-06 12:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Servette FC 1.57 — FC ST. Gallen 1.62 (total xG ≈ 3.19)
  • 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

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against 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