Moravia Morawica vs Czarni Połaniec Statistics & Analysis

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Moravia Morawica

Sep 13, 2026 - 14:00

1 1.26

2 1.34

xG Accuracy: 78%

Czarni Połaniec

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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 Over 2.5 (3 goals) ✖ Incorrect
Both Teams To Score BTTS No Yes ✖ Incorrect
1X2 Czarni Połaniec Czarni Połaniec ✔ Correct
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:53 UTC Snapshot ID: dp-7447039

Closing Odds 1.68

AI Fair Odds —

CLV +0.0%

Final Result Czarni Połaniec win · Moravia Morawica 1–2 Czarni Połaniec

Prediction ✔ Correct

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 PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Moravia Morawica (1X2), Draw (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 10.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Moravia Morawica (1X2)	33.4	23.1	+10.2
Draw (1X2)	29.6	24.1	+5.5
Czarni Połaniec (1X2)	37.0	52.8	-15.7
Over 2.5 goals	48.2	58.6	-10.4
Under 2.5 goals	51.8	41.4	+10.4

What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 41.4%. The difference — about 10.4 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)
Moravia Morawica (1X2)	3.83	3.83
Draw (1X2)	3.68	3.68
Czarni Połaniec (1X2)	1.68	1.68
Over 2.5 goals	1.56	1.56
Under 2.5 goals	2.21	2.21

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: III Liga - Group 4
Fixture: Moravia Morawica vs Czarni Połaniec
Kickoff: 2026-09-13 14:00:00
1X2 (model): Home 33.4% · Draw 29.6% · Away 37.0%
xG (showing): Moravia Morawica 1.26 — Czarni Połaniec 1.34 (total xG ≈ 2.6)
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 51.8% · Over 2.5 48.2%); BTTS No (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

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.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against 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

September 30, 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