Predictions / Football / Poland. I Liga / ŁKS Łódź vs Górnik Łęczna

ŁKS Łódź vs Górnik Łęczna Prediction, Odds & AI Betting Tips

ŁKS Łódź ŁKS Łódź
May 23, 2026 - 15:00
1.45
1.25
42% 26% 33%
Górnik Łęczna Górnik Łęczna
1X2 ❌ No bet — no value vs. current odds
Match: 41.8% ŁKS Łódź; implied 70.1%; EV -20.4%
No standard primary for this match: the best +EV line in the 25–40% model band is not shown as a main pick (settings). Use the alternative or secondary lines below.
No Primary pick for default sizing on this strip (1X2 can still read “no bet”), but at least one other market clears the +EV threshold — check the Over/Under and BTTS cards below.
Why The model prices Górnik Łęczna (1X2) about 20.9 percentage points above closing implied — the main structural read vs. the line.

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 PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Górnik Łęczna (1X2) 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 Górnik Łęczna (1X2) by about 20.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
ŁKS Łódź (1X2) 41.8 70.1 -28.3
Draw (1X2) 25.7 18.2 +7.5
Górnik Łęczna (1X2) 32.6 11.7 +20.9
Over 2.5 goals 57.7 58.2 -0.5
Under 2.5 goals 42.3 41.8 +0.5
What this means

In plain terms: the model lands near 32.6% on Górnik Łęczna (1X2), while the closing snapshot implied about 11.7%. The difference — about 20.9 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 → PRE5 · 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 (PRE5) Implied Δ (pp)
ŁKS Łódź (1X2) 1.32 1.32 0.0
Draw (1X2) 5.09 5.09 0.0
Górnik Łęczna (1X2) 7.9 7.9 0.0
Over 2.5 goals 1.61 1.61 0.0
Under 2.5 goals 2.24 2.24 0.0
⭐ Both Teams To Score Best value (+EV)
Yes 64.5% · No 35.5%
EV Yes 23.84% · EV No -27.58%
Value lean: BTTS Yes
Over / Under 2.5 Best value (+EV)
Over 2.5 57.7% · Under 2.5 42.3%
EV Over -4.79% · EV Under 3.64%
Value lean: Under 2.5
1X2 Lean
ŁKS Łódź · Model 41.8%
implied 70.1%
Main consensus market · EV: -20.4%
Best available bookmaker line: +15.2% EV
Some outlier bookmaker prices may still show small theoretical value vs. the consensus line above.
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 11.0%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).
Decision strength: 4.5 / 10
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
  • Two or more valid +EV lines at threshold (+0.5)
O/U 2.5: EV Over -4.79% · EV Under 3.64% (11 book pairs)
BTTS: EV Yes 23.84% · EV No -27.58%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.
OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

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: ŁKS Łódź vs Górnik Łęczna
  • Kickoff: 2026-05-23 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): ŁKS Łódź 1.45 — Górnik Łęczna 1.25 (total xG ≈ 2.7)
  • 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 42.3% · Over 2.5 57.7%); BTTS Yes (Yes 64.5% · No 35.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 64.5% · No 35.5%
  • Correct score (top bin): 1-1 (11.0%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Best Bet + Reason

No bankroll-sized bet is implied here.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 23, 2026 (UTC)

How to use this
  • When there is no Primary line, compare the +EV rows in the market cards below (not only 1X2).
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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I Liga I Liga — Standings
# TEAM MP W D L PTS
1 Wisla Krakow 33 19 11 3 68
2 Slask Wroclaw 33 17 10 6 61
3 Wieczysta Kraków 33 16 8 9 56
4 Chrobry Głogów 33 16 6 11 54
5 Ruch Chorzów 33 14 11 8 53
6 ŁKS Łódź 33 14 9 10 51
7 Polonia Warszawa 33 14 8 11 50
8 Puszcza Niepołomice 33 12 13 8 49
9 Miedz Legnica 33 14 7 12 49
10 Polonia Bytom 33 13 8 12 47
11 Pogoń Grod. Mazowiecki 33 11 11 11 44
12 Odra Opole 33 11 11 11 44
13 Stal Rzeszów 33 12 6 15 42
14 Pogoń Siedlce 33 9 9 15 36
15 Stal Mielec 33 9 6 18 33
16 Górnik Łęczna 33 5 12 16 27
17 Znicz Pruszków 33 6 7 20 25
18 Tychy 71 33 5 7 21 22
# TEAM MP GS GC +/- PTS
1 Wisla Krakow 33 70 32 +38 68
2 Wieczysta Kraków 33 69 46 +23 56
3 Slask Wroclaw 33 69 47 +22 61
4 Polonia Bytom 33 55 46 +9 47
5 ŁKS Łódź 33 53 47 +6 51
6 Ruch Chorzów 33 52 43 +9 53
7 Pogoń Grod. Mazowiecki 33 51 54 -3 44
8 Polonia Warszawa 33 50 48 +2 50
9 Miedz Legnica 33 50 52 -2 49
10 Chrobry Głogów 33 47 35 +12 54
11 Stal Mielec 33 47 61 -14 33
12 Stal Rzeszów 33 46 57 -11 42
13 Puszcza Niepołomice 33 44 38 +6 49
14 Górnik Łęczna 33 38 59 -21 27
15 Znicz Pruszków 33 37 66 -29 25
16 Tychy 71 33 37 71 -34 22
17 Odra Opole 33 33 38 -5 44
18 Pogoń Siedlce 33 33 41 -8 36
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