Statistics / Football / Slovakia. 3. liga - West / Malacky vs MŠK Senec

Malacky vs MŠK Senec Statistics & Analysis

Jun 06, 2026 - 15:00
1 1.68
2 1.59
xG Accuracy: 74%
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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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Malacky MŠK Senec ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 1-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 29, 2026 · 22:31 UTC Snapshot ID: dp-2446710

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result MŠK Senec win · Malacky 1–2 MŠK Senec
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 3. liga - West
  • Fixture: Malacky vs MŠK Senec
  • Kickoff: 2026-06-06 15:00:00
  • 1X2 (model): Home 39.0% · Draw 25.8% · Away 35.2%
  • xG (showing): Malacky 1.68 — MŠK Senec 1.59 (total xG ≈ 3.27)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 36.5% · Over 2.5 63.4%); BTTS Yes (Yes 66.1% · No 33.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 66.1% · No 33.9%
  • Correct score (top bin): 1-1 (10.2%)

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: 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 24, 2026 (UTC)

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