Statistics / Football / Poland. I Liga / ŁKS Łódź vs Chrobry Głogów

ŁKS Łódź vs Chrobry Głogów Statistics & Analysis

ŁKS Łódź ŁKS Łódź
Aug 09, 2026 - 12:30
1 1.35
2 1.25
xG Accuracy: 74%
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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 ŁKS Łódź Chrobry Głogów ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 01:05 UTC Snapshot ID: dp-2962784

Closing Odds 1.72
AI Fair Odds —
CLV +0.0%
Final Result Chrobry Głogów win · ŁKS Łódź 1–2 Chrobry Głogów
Prediction ✖ Missed
Decision Grade F

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 12.6 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
ŁKS Łódź (1X2) 37.6 55.2 -17.6
Draw (1X2) 29.6 24.5 +5.0
Chrobry Głogów (1X2) 32.9 20.3 +12.6
Over 2.5 goals 48.2 50.6 -2.5
Under 2.5 goals 51.8 49.4 +2.5
What this means

In plain terms: the model lands near 32.9% on Chrobry Głogów (1X2), while the closing snapshot implied about 20.3%. The difference — about 12.6 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)
ŁKS Łódź (1X2) 1.72 1.72 0.0
Draw (1X2) 3.87 3.87 0.0
Chrobry Głogów (1X2) 4.68 4.68 0.0
Over 2.5 goals 1.89 1.89 0.0
Under 2.5 goals 1.94 1.94 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: I Liga
  • Fixture: ŁKS Łódź vs Chrobry Głogów
  • Kickoff: 2026-08-09 12:30:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): ŁKS Łódź 1.35 — Chrobry Głogów 1.25 (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 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: 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 29, 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