Prediction Audit: Kalisz vs Noteć Czarnków Prediction, Odds & AI Betting Tips

Kalisz

Aug 19, 2026 - 15:00

0 1.27

1 1.33

xG Accuracy: 64%

Noteć Czarnków

AI correctly predicted the Noteć Czarnków win.

The match finished 0–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (1 goals) ✔ Correct
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Noteć Czarnków Noteć Czarnków ✔ Correct
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Kalisz	33.8%	46.7%	-12.9 pp	Market Higher
Draw	29.6%	23.2%	+6.4 pp	Model Higher
Noteć Czarnków	36.6%	30.1%	+6.5 pp	Model Higher

The closing market estimates Kalisz's win probability at 46.7%, compared with the model's estimate of 33.8%, a difference of 12.9 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE5.

After full time, the model's directional lean matched the result (Noteć Czarnków win 0–1).

Market Assessment

The market is materially more optimistic about Kalisz than the current fair estimate.

Investors may be incorporating information not fully reflected in the baseline model.
Tournament-specific context can shift market pricing.

Post Match Insights

What worked

Under 2.5 goals aligned with the xG profile
Exact score 0–1 fell within the model's highlighted bins

What failed

Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Noteć Czarnków higher (49.5% vs model 36.6%, 12.9 pp), but the model's lean was validated (Noteć Czarnków win 0–1).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

Aug 19, 2026 · 14:56 UTC Forecast generated
- Model 1X2 · Kalisz 33.8% · Draw 29.6% · Noteć Czarnków 36.6%
- xG · Kalisz 1.27 — Noteć Czarnków 1.33
Aug 19, 2026 · 14:32 UTC Opening odds snapshot PRE30
- 1X2 odds · Kalisz 1.90 · Draw 3.82 · Noteć Czarnków 2.95
- Implied 1X2 · Kalisz 46.7% · Draw 23.2% · Noteć Czarnków 30.1%
- Bookmaker · Pinnacle
Aug 19, 2026 · 14:56 UTC Closing snapshot recorded PRE5
- 1X2 odds · Kalisz 1.90 · Draw 3.82 · Noteć Czarnków 2.95
- Implied 1X2 · Kalisz 46.7% · Draw 23.2% · Noteć Czarnków 30.1%
- Bookmaker · Pinnacle
Aug 19, 2026 · 15:00 UTC Kickoff
FT Full-time result Noteć Czarnków win · 0–1
FT Prediction validated Directional lean matched full-time result
Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor

Historical Decision Monitor

Outcome Validated

Pre-match metrics (historical context)

Prediction Reliability 57/100 · Moderate

Validation: Warning
Large market gap (13 pp)

Evidence ★★★★★

No strong statistical edge
Market has already priced much of the edge
Validation warning

Pricing proximity (inverse gap) 12/100

Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 13, 2026 · 01:45 UTC Snapshot ID: dp-3817411

Closing Odds 1.9

AI Fair Odds —

CLV Pending

Final Result Noteć Czarnków win · Kalisz 0–1 Noteć Czarnków

Prediction ✔ Correct

Decision Grade B-

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?: This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?: xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?: Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?: Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: III Liga - Group 2
Fixture: Kalisz vs Noteć Czarnków
Kickoff: 2026-08-19 15:00:00
1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
xG (showing): Kalisz 1.27 — Noteć Czarnków 1.33 (total xG ≈ 2.6)
Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

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 16, 2026 (UTC)

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III Liga - Group 2 — Standings

#	TEAM	MP	W	D	L	PTS
1	Polonia Środa	7	6	1	0	19
2	Wda Świecie	7	5	2	0	17
3	Luzino	7	5	1	1	16
4	Flota Świnoujście	7	4	1	2	13
5	Kluczevia Stargard	7	4	1	2	13
6	Kalisz	7	3	3	1	12
7	Noteć Czarnków	7	4	0	3	12
8	Lech Poznań II	7	3	2	2	11
9	Stargard Szczeciński	7	3	1	3	10
10	Bałtyk Koszalin	7	2	3	2	9
11	Grom Nowy Staw	7	2	1	4	7
12	Kotwica Kórnik	7	2	1	4	7
13	Unia Swarzędz	7	2	1	4	7
14	Gedania Gdansk	7	1	3	3	6
15	Chemik Bydgoszcz	7	1	3	3	6
16	Elana Toruń	7	1	2	4	5
17	Victoria Września	7	1	1	5	4
18	Lipno Stęszew	7	0	1	6	1

#	TEAM	MP	GS	GC	+/-	PTS
1	Polonia Środa	7	23	11	+12	19
2	Luzino	7	20	8	+12	16
3	Grom Nowy Staw	7	18	19	-1	7
4	Stargard Szczeciński	7	16	15	+1	10
5	Kluczevia Stargard	7	15	13	+2	13
6	Lech Poznań II	7	15	14	+1	11
7	Gedania Gdansk	7	15	19	-4	6
8	Flota Świnoujście	7	14	9	+5	13
9	Noteć Czarnków	7	14	11	+3	12
10	Wda Świecie	7	13	7	+6	17
11	Kalisz	7	13	8	+5	12
12	Kotwica Kórnik	7	12	15	-3	7
13	Chemik Bydgoszcz	7	10	15	-5	6
14	Elana Toruń	7	10	17	-7	5
15	Bałtyk Koszalin	7	8	9	-1	9
16	Unia Swarzędz	7	7	12	-5	7
17	Lipno Stęszew	7	7	16	-9	1
18	Victoria Września	7	7	19	-12	4