Prediction Audit: Vsetín vs Havířov Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 12:00
1 1.32
0 1.28
xG Accuracy: 64%

AI correctly predicted the Vsetín win.

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

Model vs Closing Market

Moderate Disagreement

The model rates Draw considerably stronger than the closing betting market.

Largest probability gap: Draw +5.6 pp

Outcome Model Closing Market Difference Signal
Vsetín 36.1% 40.2% -4.1 pp Aligned
Draw 29.6% 24.1% +5.6 pp Model Higher
Havířov 34.2% 35.7% -1.4 pp Aligned

The statistical model estimates Draw's win probability at 29.6%, compared with the closing market's implied probability of 24.1%, a difference of 5.6 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: PRE5.

After full time, the model's directional lean matched the result (Vsetín win 1–0).

Market Assessment

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

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

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Vsetín more conservatively (30.5% vs model 36.1%, 5.6 pp), but the model's lean was validated (Vsetín win 1–0).

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Prediction Timeline

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

  1. Sep 05, 2026 · 11:59 UTC Forecast generated
    • Model 1X2 · Vsetín 36.1% · Draw 29.7% · Havířov 34.2%
    • xG · Vsetín 1.32 — Havířov 1.28
  2. Sep 05, 2026 · 11:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vsetín 2.25 · Draw 3.76 · Havířov 2.54
    • Implied 1X2 · Vsetín 40.2% · Draw 24.1% · Havířov 35.7%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 11:59 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Vsetín 2.25 · Draw 3.76 · Havířov 2.54
    • Implied 1X2 · Vsetín 40.2% · Draw 24.1% · Havířov 35.7%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Vsetín win · 1–0
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 72/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:41 UTC Snapshot ID: dp-6132568

Closing Odds 3.76
AI Fair Odds —
CLV Pending
Final Result Vsetín win · Vsetín 1–0 Havířov
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

Quick read on how the model reads this matchup.

  • League: 3. liga - MSFL
  • Fixture: Vsetín vs Havířov
  • Kickoff: 2026-09-05 12:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Vsetín 1.32 — Havířov 1.28 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • 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: 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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3. liga - MSFL 3. liga - MSFL — Standings
# TEAM MP W D L PTS
1 Líšeň II 10 7 3 0 24
2 Zbrojovka Brno II 10 7 1 2 22
3 Frýdek-Místek 9 5 3 1 18
4 Uničov 9 5 2 2 17
5 Sigma Olomouc II 10 5 1 4 16
6 Hranice 10 5 1 4 16
7 Vítkovice 10 4 4 2 16
8 Unie Hlubina 10 4 3 3 15
9 Slovácko II 10 4 3 3 15
10 Uherský Brod 10 4 2 4 14
11 Vrchovina 10 4 2 4 14
12 Zlín II 10 3 3 4 12
13 Hodonín 10 3 2 5 11
14 Karviná II 10 3 2 5 11
15 Blansko 10 1 4 5 7
16 Vsetín 10 2 1 7 7
17 Havířov 9 0 4 5 4
18 Polanka nad Odrou 9 0 3 6 3
# TEAM MP GS GC +/- PTS
1 Unie Hlubina 10 25 18 +7 15
2 Zbrojovka Brno II 10 23 15 +8 22
3 Líšeň II 10 19 3 +16 24
4 Sigma Olomouc II 10 18 12 +6 16
5 Uničov 9 17 13 +4 17
6 Slovácko II 10 16 11 +5 15
7 Uherský Brod 10 16 16 0 14
8 Frýdek-Místek 9 15 7 +8 18
9 Karviná II 10 15 20 -5 11
10 Blansko 10 15 27 -12 7
11 Hranice 10 14 9 +5 16
12 Zlín II 10 12 16 -4 12
13 Vítkovice 10 11 7 +4 16
14 Vrchovina 10 11 16 -5 14
15 Hodonín 10 10 12 -2 11
16 Vsetín 10 10 24 -14 7
17 Polanka nad Odrou 9 5 14 -9 3
18 Havířov 9 4 16 -12 4