Predictions / Football / Poland. III Liga - Group 4 / Sokół Kolb. vs Wiślanie Jaśkowice

Sokół Kolb. vs Wiślanie Jaśkowice Prediction, Odds & AI Betting Tips

Sokół Kolb. Sokół Kolb.
May 23, 2026 - 15:00
1.45
1.25
42% 26% 33%
Wiślanie Jaśkowice Wiślanie Jaśkowice
Betting Primary Pick (highest +EV)
BTTS No — Value
EV 9.6% Model 48.7%
Not a dominant outcome (model probability is below 50% on this leg).
1X2 Poor value
Sokół Kolb. · Model 41.8%
implied 35.0%
EV: -3.2%
Best line EV (1X2) -3.2%
Over / Under 2.5 Poor value
Over 2.5 54.2% · Under 2.5 45.8%
EV Over -6.23% · EV Under -3.82%
Value lean: Under 2.5
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 11.5%
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: 5.0 / 10
  • Primary line identified (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
O/U 2.5: EV Over -6.23% · EV Under -3.82% (9 book pairs)
BTTS: EV Yes -16.89% · EV No 9.58%
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

Pre-match snapshot for this fixture.

  • League: III Liga - Group 4
  • Fixture: Sokół Kolb. vs Wiślanie Jaśkowice
  • Kickoff: 2026-05-23 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Sokół Kolb. 1.45 — Wiślanie Jaśkowice 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 48.7% · Implied: 41.6% · Probability edge: +7.1 pts · Est. EV: +9.6%
  • BTTS (model): Yes 51.3% · No 48.7%
  • Correct score (top bin): 1-1 (11.5%)

Totals and BTTS are evaluated against current market prices where available.

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

Best Bet + Reason

Primary pick from the decision engine: BTTS No.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

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.

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

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)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • 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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III Liga - Group 4 III Liga - Group 4 — Standings
# TEAM MP W D L PTS
1 Avia Świdnik 32 21 8 3 71
2 KSZO 1929 32 20 8 4 68
3 Chełmianka Chełm 32 19 9 4 66
4 Star Starachowice 32 15 9 8 54
5 Czarni Połaniec 32 16 5 11 53
6 Korona Kielce II 32 16 4 12 52
7 Podlasie Biała Podlaska 32 14 9 9 51
8 Wiślanie Jaśkowice 32 15 6 11 51
9 Pogoń-Sokół Lubaczów 32 13 9 10 48
10 Wisłoka Dębica 32 12 12 8 48
11 Siarka Tarnobrzeg 32 11 10 11 43
12 Wisła Kraków II 32 13 4 15 43
13 Naprzód 32 11 6 16 38
14 Sokół Kolb. 32 9 4 19 31
15 Cracovia Kraków II 32 8 6 18 30
16 Stal Kraśnik 32 7 7 18 28
17 Świdniczanka Świdnik 32 5 5 23 20
18 Sparta KW 32 3 1 28 10
# TEAM MP GS GC +/- PTS
1 Avia Świdnik 32 77 33 +44 71
2 KSZO 1929 32 62 29 +33 68
3 Chełmianka Chełm 32 61 30 +31 66
4 Wisła Kraków II 32 61 55 +6 43
5 Korona Kielce II 32 60 57 +3 52
6 Pogoń-Sokół Lubaczów 32 57 41 +16 48
7 Podlasie Biała Podlaska 32 57 44 +13 51
8 Czarni Połaniec 32 56 44 +12 53
9 Siarka Tarnobrzeg 32 53 43 +10 43
10 Wiślanie Jaśkowice 32 51 45 +6 51
11 Star Starachowice 32 49 39 +10 54
12 Naprzód 32 45 51 -6 38
13 Stal Kraśnik 32 37 52 -15 28
14 Cracovia Kraków II 32 37 64 -27 30
15 Wisłoka Dębica 32 36 29 +7 48
16 Świdniczanka Świdnik 32 36 77 -41 20
17 Sokół Kolb. 32 33 54 -21 31
18 Sparta KW 32 26 107 -81 10
III Liga - Group 4 Poland. III Liga - Group 4 Predictions
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