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

Sokół Kolb.

May 23, 2026 - 15:00

1.45

1.25

42% 26% 33%

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).

Why The model prices Sokół Kolb. (1X2) about 4.7 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 Sokół Kolb. (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 Sokół Kolb. (1X2) by about 4.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Sokół Kolb. (1X2)	41.8	37.1	+4.7
Draw (1X2)	25.7	25.7	-0.0
Wiślanie Jaśkowice (1X2)	32.6	37.2	-4.7
Over 2.5 goals	54.2	53.5	+0.7
Under 2.5 goals	45.8	46.5	-0.7

What this means

In plain terms: the model lands near 41.8% on Sokół Kolb. (1X2), while the closing snapshot implied about 37.1%. The difference — about 4.7 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)
Sokół Kolb. (1X2)	2.4	2.4
Draw (1X2)	3.46	3.46
Wiślanie Jaśkowice (1X2)	2.39	2.39
Over 2.5 goals	1.72	1.72
Under 2.5 goals	1.98	1.98

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

1X2 Poor value

Sokół Kolb. · Model 41.8%

implied 37.1%

Main consensus market · EV: -6.3%

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 24, 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 — Standings

#	TEAM	MP	W	D	L	PTS
1	Avia Świdnik	33	22	8	3	74
2	KSZO 1929	33	21	8	4	71
3	Chełmianka Chełm	33	20	9	4	69
4	Star Starachowice	33	15	10	8	55
5	Korona Kielce II	33	17	4	12	55
6	Czarni Połaniec	33	16	5	12	53
7	Podlasie Biała Podlaska	33	14	10	9	52
8	Wiślanie Jaśkowice	33	15	6	12	51
9	Pogoń-Sokół Lubaczów	33	13	9	11	48
10	Wisłoka Dębica	33	12	12	9	48
11	Wisła Kraków II	33	14	4	15	46
12	Siarka Tarnobrzeg	32	11	10	11	43
13	Naprzód	33	11	6	17	38
14	Sokół Kolb.	33	10	4	19	34
15	Stal Kraśnik	33	8	7	18	31
16	Cracovia Kraków II	33	8	6	19	30
17	Świdniczanka Świdnik	33	5	5	24	20
18	Sparta KW	32	3	1	28	10

#	TEAM	MP	GS	GC	+/-	PTS
1	Avia Świdnik	33	81	33	+48	74
2	KSZO 1929	33	64	30	+34	71
3	Wisła Kraków II	33	64	56	+8	46
4	Chełmianka Chełm	33	63	30	+33	69
5	Korona Kielce II	33	62	58	+4	55
6	Pogoń-Sokół Lubaczów	33	58	44	+14	48
7	Podlasie Biała Podlaska	33	58	45	+13	52
8	Czarni Połaniec	33	57	46	+11	53
9	Siarka Tarnobrzeg	32	53	43	+10	43
10	Wiślanie Jaśkowice	33	51	47	+4	51
11	Star Starachowice	33	50	40	+10	55
12	Naprzód	33	45	53	-8	38
13	Stal Kraśnik	33	39	52	-13	31
14	Cracovia Kraków II	33	38	66	-28	30
15	Wisłoka Dębica	33	36	33	+3	48
16	Świdniczanka Świdnik	33	36	79	-43	20
17	Sokół Kolb.	33	35	54	-19	34
18	Sparta KW	32	26	107	-81	10