Prediction Audit: Meteor Praha vs Hvězda Cheb Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 08:15
7 1.33
2 1.27
xG Accuracy: 17%

AI correctly predicted the Meteor Praha win.

The match finished 7–2, 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 Under 2.5 Over 2.5 (9 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Meteor Praha Meteor Praha ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 7-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Meteor Praha higher than the statistical model.

Largest probability gap: Meteor Praha -28.6 pp

Outcome Model Closing Market Difference Signal
Meteor Praha 36.6% 65.2% -28.6 pp Market Higher
Draw 29.6% 19.1% +10.5 pp Model Edge
Hvězda Cheb 33.8% 15.7% +18.1 pp Model Edge

The closing market estimates Meteor Praha's win probability at 65.2%, compared with the model's estimate of 36.6%, a difference of 28.6 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 (Meteor Praha win 7–2).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 9 goals materialised

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 (9 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Meteor Praha higher (65.2% vs model 36.6%, 28.6 pp), but the model's lean was validated (Meteor Praha win 7–2).

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Prediction Timeline

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

  1. Sep 27, 2026 · 08:14 UTC Forecast generated
    • Model 1X2 · Meteor Praha 36.6% · Draw 29.6% · Hvězda Cheb 33.8%
    • xG · Meteor Praha 1.33 — Hvězda Cheb 1.27
  2. Sep 27, 2026 · 07:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Meteor Praha 1.36 · Draw 4.64 · Hvězda Cheb 5.67
    • Implied 1X2 · Meteor Praha 65.2% · Draw 19.1% · Hvězda Cheb 15.7%
    • Bookmaker · Pinnacle
  3. Sep 27, 2026 · 08:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Meteor Praha 1.36 · Draw 4.64 · Hvězda Cheb 5.67
    • Implied 1X2 · Meteor Praha 65.2% · Draw 19.1% · Hvězda Cheb 15.7%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 08:15 UTC Kickoff
  5. FT Full-time result Meteor Praha win · 7–2
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 49/100 · Moderate
  • Validation: Warning
  • Large market gap (29 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 31/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:51 UTC Snapshot ID: dp-10079980

Closing Odds 1.36
AI Fair Odds —
CLV Pending
Final Result Meteor Praha win · Meteor Praha 7–2 Hvězda Cheb
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: 4. liga - Divizie B
  • Fixture: Meteor Praha vs Hvězda Cheb
  • Kickoff: 2026-09-27 08:15:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Meteor Praha 1.33 — Hvězda Cheb 1.27 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS No (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

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

Historical Recommendation

Historical Decision: Wait

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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4. liga - Divizie B 4. liga - Divizie B — Standings
# TEAM MP W D L PTS
1 Sokol Hostouň 8 7 0 1 21
2 Chomutov 8 7 0 1 21
3 Baník Sokolov 8 5 0 3 15
4 Rapid Psáry 8 5 0 3 15
5 Újezd Praha 4 8 4 2 2 14
6 Slovan Velvary 8 4 1 3 13
7 Karlovy Vary 8 4 0 4 12
8 Brandýs nad Labem 8 4 0 4 12
9 Tempo Praha 8 3 1 4 10
10 Štětí 8 3 1 4 10
11 Slaný 8 2 2 4 8
12 Meteor Praha 7 2 1 4 7
13 Ostrov 8 2 1 5 7
14 Slavoj Vyšehrad 8 2 1 5 7
15 Hvězda Cheb 7 2 0 5 6
16 Ústí nad Labem II 8 1 2 5 5
# TEAM MP GS GC +/- PTS
1 Sokol Hostouň 8 27 8 +19 21
2 Brandýs nad Labem 8 20 19 +1 12
3 Chomutov 8 18 5 +13 21
4 Baník Sokolov 8 18 8 +10 15
5 Rapid Psáry 8 18 10 +8 15
6 Karlovy Vary 8 18 15 +3 12
7 Slaný 8 16 13 +3 8
8 Újezd Praha 4 8 15 13 +2 14
9 Ostrov 8 14 22 -8 7
10 Tempo Praha 8 13 14 -1 10
11 Slovan Velvary 8 13 17 -4 13
12 Slavoj Vyšehrad 8 13 22 -9 7
13 Štětí 8 12 15 -3 10
14 Hvězda Cheb 7 12 23 -11 6
15 Ústí nad Labem II 8 8 24 -16 5
16 Meteor Praha 7 6 13 -7 7