Podlasie Biała Podlaska vs Sokół Kolb. Statistics & Analysis

Podlasie Biała Podlaska

Aug 28, 2026 - 17:57

0 1.39

0 1.21

xG Accuracy: 49%

Sokół Kolb.

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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 Under 2.5 (0 goals) ✔ Correct
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Podlasie Biała Podlaska Draw ✖ Incorrect
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 22, 2026 · 03:33 UTC Snapshot ID: dp-4940905

Closing Odds 1.96

AI Fair Odds —

CLV +0.0%

Final Result Draw · Podlasie Biała Podlaska 0–0 Sokół Kolb.

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 PRE10 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Sokół Kolb. (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 Under 2.5 goals by about 4.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Podlasie Biała Podlaska (1X2)	39.5	45.3	-5.8
Draw (1X2)	29.5	27.1	+2.4
Sokół Kolb. (1X2)	31.0	27.6	+3.4
Over 2.5 goals	48.2	52.9	-4.7
Under 2.5 goals	51.8	47.1	+4.7

What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 47.1%. 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 → PRE10 · 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 (PRE10)
Podlasie Biała Podlaska (1X2)	1.96	1.96
Draw (1X2)	3.28	3.28
Sokół Kolb. (1X2)	3.21	3.21
Over 2.5 goals	1.74	1.74
Under 2.5 goals	1.95	1.95

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

League: III Liga - Group 4
Fixture: Podlasie Biała Podlaska vs Sokół Kolb.
Kickoff: 2026-08-28 17:57:00
1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
xG (showing): Podlasie Biała Podlaska 1.39 — Sokół Kolb. 1.21 (total xG ≈ 2.6)
Value headline: None (actionable) — best tracked EV is about +1.0%, still below the +2.0% minimum for a headline / default stake (no default bet).
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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
BTTS (model): Yes 54.3% · No 45.7%
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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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

October 01, 2026 (UTC)

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Back to Statistics

III Liga - Group 4 — Standings

#	TEAM	MP	W	D	L	PTS
1	Chełmianka Chełm	10	8	2	0	26
2	KSZO 1929	9	5	4	0	19
3	Czarni Połaniec	10	6	1	3	19
4	Wisłoka Dębica	10	6	1	3	19
5	Wiślanie Jaśkowice	10	5	2	3	17
6	Naprzód	10	5	2	3	17
7	Jarosław	9	5	1	3	16
8	Siarka Tarnobrzeg	10	4	2	4	14
9	Wisła Kraków II	10	3	4	3	13
10	Sokół Kolb.	10	2	6	2	12
11	Podlasie Biała Podlaska	10	3	2	5	11
12	Busko-Zdroj	10	3	2	5	11
13	Hetman Zamosc	9	2	4	3	10
14	Star Starachowice	10	2	4	4	10
15	Korona Kielce II	10	2	2	6	8
16	KS Wieczysta Krakow II	10	2	2	6	8
17	Pogoń-Sokół Lubaczów	10	2	1	7	7
18	Moravia Morawica	9	2	0	7	6

#	TEAM	MP	GS	GC	+/-	PTS
1	Jarosław	9	24	15	+9	16
2	Naprzód	10	24	20	+4	17
3	Korona Kielce II	10	21	26	-5	8
4	Czarni Połaniec	10	17	15	+2	19
5	Chełmianka Chełm	10	16	3	+13	26
6	Hetman Zamosc	9	16	17	-1	10
7	Wiślanie Jaśkowice	10	15	10	+5	17
8	KSZO 1929	9	14	6	+8	19
9	Wisłoka Dębica	10	14	12	+2	19
10	Busko-Zdroj	10	14	21	-7	11
11	Siarka Tarnobrzeg	10	13	13	0	14
12	Wisła Kraków II	10	13	13	0	13
13	Star Starachowice	10	11	15	-4	10
14	Sokół Kolb.	10	10	10	0	12
15	Pogoń-Sokół Lubaczów	10	10	19	-9	7
16	KS Wieczysta Krakow II	10	9	14	-5	8
17	Moravia Morawica	9	9	18	-9	6
18	Podlasie Biała Podlaska	10	8	11	-3	11