Vratimov vs Frýdlant Statistics & Analysis

Sep 05, 2026 - 08:15
2 1.48
1 1.12
xG Accuracy: 84%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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

Validation Report

Immutable Snapshot

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

Closing Odds 1.28
AI Fair Odds
CLV +0.0%
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%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Frýdlant (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 17.6 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Vratimov (1X2) 43.9 69.1 -25.3
Draw (1X2) 29.1 17.5 +11.6
Frýdlant (1X2) 27.1 13.4 +13.7
Over 2.5 goals 48.2 65.8 -17.6
Under 2.5 goals 51.8 34.2 +17.6
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 34.2%. The difference — about 17.6 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Vratimov (1X2) 1.28 1.28 0.0
Draw (1X2) 5.06 5.06 0.0
Frýdlant (1X2) 6.6 6.6 0.0
Over 2.5 goals 1.38 1.38 0.0
Under 2.5 goals 2.65 2.65 0.0

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 - 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 16, 2026 (UTC)

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Back to Statistics
4. liga - Divizie F 4. liga - Divizie FStandings
# TEAM MP W D L PTS
1 Bospor Bohumín 5 5 0 0 15
2 Kravare 5 5 0 0 15
3 Hlučín 6 5 0 1 15
4 Vratimov 5 4 0 1 12
5 Jiskra Rýmařov 6 3 1 2 10
6 Opava II 5 3 1 1 10
7 Stonava 6 3 1 2 10
8 Nový Jičín 6 3 1 2 10
9 Šumperk 5 2 1 2 7
10 Zabreh 5 2 1 2 7
11 Pustá Polom 5 2 1 2 7
12 Valašské Meziříčí 6 1 2 3 5
13 Břidličná 6 1 0 5 3
14 Bílovec 5 0 1 4 1
15 Frydek-Mistek B 6 0 0 6 0
16 Frýdlant 6 0 0 6 0
# TEAM MP GS GC +/- PTS
1 Bospor Bohumín 5 19 5 +14 15
2 Kravare 5 16 4 +12 15
3 Hlučín 6 14 6 +8 15
4 Jiskra Rýmařov 6 14 8 +6 10
5 Nový Jičín 6 12 13 -1 10
6 Vratimov 5 11 5 +6 12
7 Opava II 5 11 8 +3 10
8 Valašské Meziříčí 6 10 15 -5 5
9 Stonava 6 9 7 +2 10
10 Šumperk 5 9 8 +1 7
11 Pustá Polom 5 8 9 -1 7
12 Břidličná 6 7 16 -9 3
13 Zabreh 5 6 5 +1 7
14 Frýdlant 6 6 23 -17 0
15 Frydek-Mistek B 6 5 16 -11 0
16 Bílovec 5 3 12 -9 1