Predictions / Football / Poland. III Liga - Group 2 / Kluczevia Stargard vs Lipno Stęszew

Kluczevia Stargard vs Lipno Stęszew Prediction, Odds & AI Betting Tips

May 13, 2026 - 15:00
0 1.45
3 1.25
xG Accuracy: 42%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • 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 Kluczevia Stargard Lipno Stęszew ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 0-3 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: III Liga - Group 2
  • Fixture: Kluczevia Stargard vs Lipno Stęszew
  • Kickoff: 2026-05-13 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Kluczevia Stargard 1.45 — Lipno Stęszew 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 66.7% · Implied: 57.2% · Probability edge: +9.5 pts · Est. EV: +8.1%
  • BTTS (model): Yes 66.7% · No 33.3%
  • Correct score (top bin): 1-1 (11.8%)

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

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

The engine’s headline primary is: BTTS Yes.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

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 22, 2026 (UTC)

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III Liga - Group 2 III Liga - Group 2Standings
# TEAM MP W D L PTS
1 Zawisza Bydgoszcz 32 23 5 4 74
2 Luzino 32 23 4 5 73
3 Polonia Środa 32 18 6 8 60
4 Lech Poznań II 32 14 7 11 49
5 Elana Toruń 32 14 7 11 49
6 Flota Świnoujście 32 14 6 12 48
7 Wda Świecie 32 14 6 12 48
8 Kluczevia Stargard 32 13 7 12 46
9 Lipno Stęszew 32 13 6 13 45
10 Unia Swarzędz 32 12 8 12 44
11 Noteć Czarnków 32 12 7 14 43
12 Stargard Szczeciński 32 10 9 13 39
13 Victoria Września 32 12 3 17 39
14 Cartusia Kartuzy 32 11 4 17 37
15 Pogoń Nowe Skalmierzyce 32 9 9 14 36
16 Pogoń Szczecin II 32 10 5 17 35
17 Tłuchowia 32 7 6 18 28
18 Wybrzeże Rewalskie Rewal 32 3 6 23 15
# TEAM MP GS GC +/- PTS
1 Luzino 32 76 35 +41 73
2 Zawisza Bydgoszcz 32 69 23 +46 74
3 Lech Poznań II 32 66 49 +17 49
4 Polonia Środa 32 63 41 +22 60
5 Pogoń Szczecin II 32 58 64 -6 35
6 Kluczevia Stargard 32 51 38 +13 46
7 Stargard Szczeciński 32 49 50 -1 39
8 Flota Świnoujście 32 48 49 -1 48
9 Elana Toruń 32 47 47 0 49
10 Noteć Czarnków 32 43 45 -2 43
11 Wda Świecie 32 42 50 -8 48
12 Unia Swarzędz 32 41 36 +5 44
13 Lipno Stęszew 32 40 50 -10 45
14 Victoria Września 32 38 42 -4 39
15 Cartusia Kartuzy 32 38 49 -11 37
16 Pogoń Nowe Skalmierzyce 32 31 44 -13 36
17 Tłuchowia 32 31 60 -29 28
18 Wybrzeże Rewalskie Rewal 32 18 77 -59 15