Prediction Audit: Vratimov vs Frýdlant Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 08:15
2 1.48
1 1.12
xG Accuracy: 84%

AI correctly predicted the Vratimov win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Yes Yes ✔ Correct
  • 1X2 Vratimov Vratimov ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Vratimov higher than the statistical model.

Largest probability gap: Vratimov -25.3 pp

Outcome Model Closing Market Difference Signal
Vratimov 43.8% 69.1% -25.3 pp Market Higher
Draw 29.1% 17.5% +11.6 pp Model Edge
Frýdlant 27.1% 13.4% +13.7 pp Model Edge

The closing market estimates Vratimov's win probability at 69.1%, compared with the model's estimate of 43.8%, a difference of 25.3 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 (Vratimov win 2–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Vratimov attacking xG significantly stronger (1.48 vs 1.12)
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Vratimov higher (69.1% vs model 43.8%, 25.3 pp), but the model's lean was validated (Vratimov win 2–1).

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Prediction Timeline

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

  1. Sep 05, 2026 · 08:14 UTC Forecast generated
    • Model 1X2 · Vratimov 43.9% · Draw 29.1% · Frýdlant 27.1%
    • xG · Vratimov 1.48 — Frýdlant 1.12
  2. Sep 05, 2026 · 07:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vratimov 1.28 · Draw 5.06 · Frýdlant 6.60
    • Implied 1X2 · Vratimov 69.1% · Draw 17.5% · Frýdlant 13.4%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 08:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vratimov 1.28 · Draw 5.06 · Frýdlant 6.60
    • Implied 1X2 · Vratimov 69.1% · Draw 17.5% · Frýdlant 13.4%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 08:15 UTC Kickoff
  5. FT Full-time result Vratimov win · 2–1
  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 50/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 32/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:01 UTC Snapshot ID: dp-6122180

Closing Odds 1.28
AI Fair Odds —
CLV Pending
Final Result Vratimov win · Vratimov 2–1 Frýdlant
Prediction ✔ Correct
Decision Grade B-

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: 4. liga - Divizie F
  • Fixture: Vratimov vs Frýdlant
  • Kickoff: 2026-09-05 08:15:00
  • 1X2 (model): Home 43.9% · Draw 29.1% · Away 27.1%
  • xG (showing): Vratimov 1.48 — Frýdlant 1.12 (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 Yes (Yes 53.6% · No 46.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.6% · No 46.4%
  • Correct score (top bin): 1-1 (12.3%)

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: 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 F 4. liga - Divizie F — Standings
# TEAM MP W D L PTS
1 Bospor Bohumín 7 7 0 0 21
2 Hlučín 8 6 0 2 18
3 Kravare 7 5 1 1 16
4 Vratimov 7 5 0 2 15
5 Stonava 8 4 2 2 14
6 Jiskra Rýmařov 7 4 1 2 13
7 Opava II 8 4 1 3 13
8 Nový Jičín 7 4 1 2 13
9 Zabreh 7 3 1 3 10
10 Valašské Meziříčí 8 2 3 3 9
11 Šumperk 7 2 1 4 7
12 Pustá Polom 7 2 1 4 7
13 Frydek-Mistek B 8 2 0 6 6
14 Břidličná 7 1 1 5 4
15 Bílovec 7 1 1 5 4
16 Frýdlant 8 0 0 8 0
# TEAM MP GS GC +/- PTS
1 Bospor Bohumín 7 27 7 +20 21
2 Hlučín 8 19 11 +8 18
3 Kravare 7 19 11 +8 16
4 Jiskra Rýmařov 7 18 10 +8 13
5 Opava II 8 18 15 +3 13
6 Valašské Meziříčí 8 18 17 +1 9
7 Stonava 8 16 11 +5 14
8 Nový Jičín 7 15 13 +2 13
9 Vratimov 7 14 9 +5 15
10 Frydek-Mistek B 8 14 20 -6 6
11 Šumperk 7 10 12 -2 7
12 Pustá Polom 7 9 14 -5 7
13 Břidličná 7 9 18 -9 4
14 Zabreh 7 8 8 0 10
15 Frýdlant 8 7 34 -27 0
16 Bílovec 7 4 15 -11 4