Statistics / Football / World. Friendlies Clubs / Lech Poznań II vs Zagłębie Lubin II

Lech Poznań II vs Zagłębie Lubin II Statistics & Analysis

Lech Poznań II Lech Poznań II
Jul 18, 2026 - 12:00
3 1.37
0 1.23
xG Accuracy: 46%
Zagłębie Lubin II Zagłębie Lubin II
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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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Lech Poznań II Lech Poznań II ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 16, 2026 · 01:08 UTC Snapshot ID: dp-8976000

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Lech Poznań II win · Lech Poznań II 3–0 Zagłębie Lubin II
Prediction ✔ Correct
Decision Grade F

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: Club Friendlies
  • Fixture: Lech Poznań II vs Zagłębie Lubin II
  • Kickoff: 2026-07-18 12:00:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Lech Poznań II 1.37 — Zagłębie Lubin II 1.23 (total xG ≈ 2.6)
  • 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): Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 16, 2026 (UTC)

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