Prediction Audit: Świt Skolwin vs Tychy 71 Prediction, Odds & AI Betting Tips

Świt Skolwin

Aug 30, 2026 - 12:30

1 1.29

1 1.31

xG Accuracy: 85%

Tychy 71

The model missed the final outcome (Draw 1–1).

The model had projected Tychy 71 at 35.6%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (2 goals) ✔ Correct
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 Tychy 71 Draw ✖ Incorrect
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Świt Skolwin	34.7%	23.9%	+10.8 pp	Model Edge
Draw	29.6%	22.6%	+7.0 pp	Model Higher
Tychy 71	35.6%	53.5%	-17.8 pp	Market Higher

The closing market estimates Tychy 71's win probability at 53.5%, compared with the model's estimate of 35.6%, a difference of 17.8 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: PRE1.

After full time, the result was Draw 1–1.

Market Assessment

The market is materially more optimistic about Tychy 71 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

Both Teams To Score (Yes) matched the full-time result
Under 2.5 goals aligned with the xG profile
Exact score 1–1 fell within the model's highlighted bins

What failed

1X2: model leaned Tychy 71; match finished Draw

Market lesson

The closing market differed from the model on Tychy 71 by 17.8 percentage points (53.4% vs model 35.6%) — in this case the market view proved closer.

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Prediction Timeline

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

Aug 30, 2026 · 12:29 UTC Forecast generated
- Model 1X2 · Świt Skolwin 34.7% · Draw 29.7% · Tychy 71 35.6%
- xG · Świt Skolwin 1.29 — Tychy 71 1.31
Aug 30, 2026 · 12:02 UTC Opening odds snapshot PRE30
- 1X2 odds · Świt Skolwin 3.83 · Draw 4.04 · Tychy 71 1.71
- Implied 1X2 · Świt Skolwin 23.9% · Draw 22.6% · Tychy 71 53.5%
- Bookmaker · Pinnacle
Aug 30, 2026 · 12:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Świt Skolwin 3.83 · Draw 4.04 · Tychy 71 1.71
- Implied 1X2 · Świt Skolwin 23.9% · Draw 22.6% · Tychy 71 53.5%
- Bookmaker · Pinnacle
Aug 30, 2026 · 12:30 UTC Kickoff
FT Full-time result Draw · 1–1
FT Prediction missed 1X2 lean did not match 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 Missed

Pre-match metrics (historical context)

Prediction Reliability 54/100 · Moderate

Validation: Warning
Large market gap (18 pp)

Evidence ★★★★★

No strong statistical edge
Pricing remains divergent
Validation warning

Pricing proximity (inverse gap) 10/100

Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 01:27 UTC Snapshot ID: dp-5292028

Closing Odds 1.71

AI Fair Odds —

CLV Pending

Final Result Draw · Świt Skolwin 1–1 Tychy 71

Prediction ✖ Missed

Decision Grade C

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

Pre-match snapshot for this fixture.

League: II Liga - East
Fixture: Świt Skolwin vs Tychy 71
Kickoff: 2026-08-30 12:30:00
1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
xG (showing): Świt Skolwin 1.29 — Tychy 71 1.31 (total xG ≈ 2.6)
Value headline: None (actionable) — best tracked EV is about +1.9%, 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 54.5% · 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 (12.6%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

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

September 29, 2026 (UTC)

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II Liga - East — Standings

#	TEAM	MP	W	D	L	PTS
1	Znicz Pruszków	9	6	2	1	20
2	Górnik Łęczna	9	5	2	2	17
3	Tychy 71	9	4	5	0	17
4	Zawisza Bydgoszcz	9	4	4	1	16
5	Rekord Bielsko-Biała	9	5	1	3	16
6	Hutnik Kraków	9	4	3	2	15
7	Sandecja Nowy Sącz	9	4	3	2	15
8	Chojniczanka Chojnice	9	4	2	3	14
9	Podhale Nowy Targ	9	4	2	3	14
10	Lechia Zielona Góra	9	3	3	3	12
11	Olimpia Grudziądz	9	3	3	3	12
12	Stal Stalowa Wola	9	3	1	5	10
13	Avia Świdnik	9	3	1	5	10
14	Legia Warszawa II	9	3	0	6	9
15	Śląsk Wrocław II	9	3	0	6	9
16	Sokół Kleczew	9	1	5	3	8
17	Świt Skolwin	9	1	2	6	5
18	Resovia Rzeszów	9	0	3	6	3

#	TEAM	MP	GS	GC	+/-	PTS
1	Znicz Pruszków	9	19	10	+9	20
2	Górnik Łęczna	9	18	9	+9	17
3	Podhale Nowy Targ	9	18	17	+1	14
4	Legia Warszawa II	9	18	17	+1	9
5	Lechia Zielona Góra	9	17	15	+2	12
6	Zawisza Bydgoszcz	9	16	11	+5	16
7	Hutnik Kraków	9	16	11	+5	15
8	Chojniczanka Chojnice	9	16	14	+2	14
9	Śląsk Wrocław II	9	15	17	-2	9
10	Rekord Bielsko-Biała	9	14	9	+5	16
11	Stal Stalowa Wola	9	14	17	-3	10
12	Sandecja Nowy Sącz	9	13	8	+5	15
13	Tychy 71	9	12	6	+6	17
14	Avia Świdnik	9	12	16	-4	10
15	Olimpia Grudziądz	9	11	15	-4	12
16	Sokół Kleczew	9	10	21	-11	8
17	Świt Skolwin	9	9	23	-14	5
18	Resovia Rzeszów	9	6	18	-12	3