Statistics / Football / Poland. I Liga / Miedz Legnica vs Chrobry Głogów

Miedz Legnica vs Chrobry Głogów Statistics & Analysis

Miedz Legnica Miedz Legnica
Sep 05, 2026 - 13:30
1 1.32
1 1.28
xG Accuracy: 85%
Chrobry Głogów Chrobry Głogów
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Miedz Legnica Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 02:15 UTC Snapshot ID: dp-6140984

Closing Odds 1.87
AI Fair Odds —
CLV +0.0%
Final Result Draw · Miedz Legnica 1–1 Chrobry Głogów
Prediction ✖ Missed
Decision Grade C

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), Chrobry Głogów (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 Chrobry Głogów (1X2) by about 9.8 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Miedz Legnica (1X2) 36.1 50.8 -14.7
Draw (1X2) 29.7 24.8 +4.9
Chrobry Głogów (1X2) 34.2 24.4 +9.8
Over 2.5 goals 48.2 56.3 -8.1
Under 2.5 goals 51.8 43.7 +8.1
What this means

In plain terms: the model lands near 34.2% on Chrobry Głogów (1X2), while the closing snapshot implied about 24.4%. The difference — about 9.8 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)
Miedz Legnica (1X2) 1.87 1.87 0.0
Draw (1X2) 3.84 3.84 0.0
Chrobry Głogów (1X2) 3.89 3.89 0.0
Over 2.5 goals 1.69 1.69 0.0
Under 2.5 goals 2.18 2.18 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: I Liga
  • Fixture: Miedz Legnica vs Chrobry Głogów
  • Kickoff: 2026-09-05 13:30:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Miedz Legnica 1.32 — Chrobry Głogów 1.28 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 44.3% · Probability edge: +7.5 pts · Est. EV: +14.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Early match state can move realised goals away from pre-kick projections.

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 30, 2026 (UTC)

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Back to Statistics
I Liga I Liga — Standings
# TEAM MP W D L PTS
1 Pogoń Grod. Mazowiecki 9 5 3 1 18
2 Nieciecza 9 5 1 3 16
3 Warta Poznań 9 5 0 4 15
4 ŁKS Łódź 9 4 3 2 15
5 Miedz Legnica 9 4 2 3 14
6 Polonia Warszawa 9 4 2 3 14
7 Stal Rzeszów 9 4 2 3 14
8 Lechia Gdansk 9 4 1 4 13
9 Chrobry Głogów 9 3 3 3 12
10 Pogoń Siedlce 8 3 3 2 12
11 Ruch Chorzów 9 3 3 3 12
12 Arka Gdynia 9 3 2 4 11
13 Unia Skierniewice 9 3 1 5 10
14 Odra Opole 9 2 3 4 9
15 Polonia Bytom 9 1 6 2 9
16 Stal Mielec 9 2 3 4 9
17 Podbeskidzie 9 0 8 1 8
18 Puszcza Niepołomice 8 2 0 6 6
# TEAM MP GS GC +/- PTS
1 Warta Poznań 9 17 13 +4 15
2 Lechia Gdansk 9 17 15 +2 13
3 Pogoń Grod. Mazowiecki 9 15 8 +7 18
4 Polonia Warszawa 9 15 12 +3 14
5 Miedz Legnica 9 14 9 +5 14
6 Nieciecza 9 14 12 +2 16
7 Polonia Bytom 9 14 17 -3 9
8 Stal Mielec 9 14 23 -9 9
9 ŁKS Łódź 9 13 9 +4 15
10 Podbeskidzie 9 12 14 -2 8
11 Chrobry Głogów 9 11 8 +3 12
12 Arka Gdynia 9 11 11 0 11
13 Stal Rzeszów 9 10 15 -5 14
14 Unia Skierniewice 9 10 15 -5 10
15 Pogoń Siedlce 8 9 7 +2 12
16 Ruch Chorzów 9 9 11 -2 12
17 Puszcza Niepołomice 8 8 12 -4 6
18 Odra Opole 9 7 9 -2 9