Prediction Audit: Cham vs Brühl Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 14:00
2 1.27
1 1.33
xG Accuracy: 75%

The model missed the final outcome (Cham win 2–1).

The model had projected Brühl at 36.6%, but the full-time result went the other way.

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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Brühl Cham ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Cham higher than the statistical model.

Largest probability gap: Cham -7.1 pp

Outcome Model Closing Market Difference Signal
Cham 33.8% 40.9% -7.1 pp Market Higher
Draw 29.6% 25.6% +4.1 pp Aligned
Brühl 36.6% 33.5% +3.0 pp Aligned

The closing market estimates Cham's win probability at 40.9%, compared with the model's estimate of 33.8%, a difference of 7.1 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: PRE5.

After full time, the result was Cham win 2–1.

Market Assessment

The market and model broadly agree on Cham. 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 worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The closing market differed from the model on Brühl by 7.1 percentage points (43.7% vs model 36.6%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 19, 2026 · 14:06 UTC Forecast generated
    • Model 1X2 · Cham 33.8% · Draw 29.6% · Brühl 36.6%
    • xG · Cham 1.27 — Brühl 1.33
  2. Sep 19, 2026 · 13:42 UTC Opening odds snapshot PRE30
    • 1X2 odds · Cham 2.24 · Draw 3.58 · Brühl 2.73
    • Implied 1X2 · Cham 40.9% · Draw 25.6% · Brühl 33.5%
    • Bookmaker · Pinnacle
  3. Sep 19, 2026 · 14:06 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Cham 2.24 · Draw 3.58 · Brühl 2.73
    • Implied 1X2 · Cham 40.9% · Draw 25.6% · Brühl 33.5%
    • Bookmaker · Pinnacle
  4. Sep 19, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Cham win · 2–1
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 22/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:05 UTC Snapshot ID: dp-8683524

Closing Odds 2.24
AI Fair Odds —
CLV Pending
Final Result Cham win · Cham 2–1 Brühl
Prediction ✖ Missed
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

Pre-match snapshot for this fixture.

  • League: 1. Liga Promotion
  • Fixture: Cham vs Brühl
  • Kickoff: 2026-09-19 14:00:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Cham 1.27 — Brühl 1.33 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 31.7% · Probability edge: +20.1 pts · Est. EV: +65.8%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Monitor

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 28, 2026 (UTC)

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Back to Predictions
1. Liga Promotion 1. Liga Promotion — Standings
# TEAM MP W D L PTS
1 Biel-Bienne 9 7 1 1 22
2 FC Schaffhausen 9 6 1 2 19
3 Cham 9 6 1 2 19
4 Grand-Saconnex 9 6 0 3 18
5 Bulle 9 5 2 2 17
6 Paradiso 9 5 1 3 16
7 YF Juventus 9 4 1 4 13
8 Amical Saint-Prex 9 4 1 4 13
9 Basel II 9 4 0 5 12
10 Brühl 9 3 2 4 11
11 Young Boys II 9 3 2 4 11
12 Zürich II 9 3 2 4 11
13 Breitenrain 8 3 1 4 10
14 Kreuzlingen 9 2 3 4 9
15 Lugano II 9 3 0 6 9
16 Bavois 9 2 2 5 8
17 Luzern II 9 2 1 6 7
18 Bellinzona 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 Biel-Bienne 9 21 9 +12 22
2 Paradiso 9 19 9 +10 16
3 Grand-Saconnex 9 19 13 +6 18
4 Bulle 9 18 12 +6 17
5 Young Boys II 9 17 21 -4 11
6 Basel II 9 16 17 -1 12
7 FC Schaffhausen 9 15 10 +5 19
8 Lugano II 9 15 21 -6 9
9 Cham 9 14 9 +5 19
10 Zürich II 9 14 18 -4 11
11 YF Juventus 9 13 14 -1 13
12 Luzern II 9 13 16 -3 7
13 Amical Saint-Prex 9 13 20 -7 13
14 Brühl 9 12 12 0 11
15 Bavois 9 10 11 -1 8
16 Breitenrain 8 10 13 -3 10
17 Kreuzlingen 9 10 13 -3 9
18 Bellinzona 8 5 16 -11 4