Prediction Audit: FC Sion vs FC Thun Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 14:30
3 2.47
2 1.10
xG Accuracy: 68%

AI correctly predicted the FC Sion win.

The match finished 3–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 FC Sion FC Sion ✔ Correct
  • Correct Score Insights 2-1, 2-0, 3-1, 1-1, 3-0 3-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates FC Sion considerably stronger than the closing betting market.

Largest probability gap: FC Sion +6.6 pp

Outcome Model Closing Market Difference Signal
FC Sion 63.3% 56.7% +6.6 pp Model Higher
Draw 20.6% 22.2% -1.6 pp Aligned
FC Thun 16.1% 21.1% -5.0 pp Aligned

The statistical model estimates FC Sion's win probability at 63.3%, compared with the closing market's implied probability of 56.7%, a difference of 6.6 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 Sion win 3–2).

Market Assessment

The fair estimate shows a modest edge over current market pricing on FC Sion.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.57) — 5 goals materialised
  • FC Sion attacking xG significantly stronger (2.47 vs 1.10)
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced FC Sion more conservatively (56.7% vs model 63.3%, 6.6 pp), but the model's lean was validated (FC Sion win 3–2).

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Prediction Timeline

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

  1. Sep 06, 2026 · 19:27 UTC Forecast generated
    • Model 1X2 · FC Sion 63.3% · Draw 20.6% · FC Thun 16.1%
    • xG · FC Sion 2.47 — FC Thun 1.10
  2. Sep 06, 2026 · 14:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Sion 1.71 · Draw 4.30 · FC Thun 4.54
    • Implied 1X2 · FC Sion 56.4% · Draw 22.4% · FC Thun 21.2%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 14:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · FC Sion 1.70 · Draw 4.35 · FC Thun 4.57
    • Implied 1X2 · FC Sion 56.7% · Draw 22.2% · FC Thun 21.1%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 14:30 UTC Kickoff
  5. FT Full-time result FC Sion win · 3–2
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 64/100 · Moderate
  • Validation: Pass
  • High xG deviation from league baseline (83%+)
Evidence ★★★★★
  • Strong model lean
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 67/100
Betting Confidence 67/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:31 UTC Snapshot ID: dp-6362831

Closing Odds 1.7
AI Fair Odds —
CLV Pending
Final Result FC Sion win · FC Sion 3–2 FC Thun
Prediction ✔ Correct
Decision Grade A

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Super League
  • Fixture: FC Sion vs FC Thun
  • Kickoff: 2026-09-06 14:30:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): FC Sion 2.47 — FC Thun 1.1 (total xG ≈ 3.57)
  • 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

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

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