Predictions / Football / Poland. III Liga - Group 4 / Wiślanie Jaśkowice vs Jarosław

Prediction Audit: Wiślanie Jaśkowice vs Jarosław Prediction, Odds & AI Betting Tips

Wiślanie Jaśkowice Wiślanie Jaśkowice
Sep 12, 2026 - 17:00
3 1.29
1 1.31
xG Accuracy: 57%
Jarosław Jarosław

The model missed the final outcome (Wiślanie Jaśkowice win 3–1).

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

Tracked markets vs full-time result

Prediction grade F

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Jarosław Wiślanie Jaśkowice ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Wiślanie Jaśkowice higher than the statistical model.

Largest probability gap: Wiślanie Jaśkowice -9.1 pp

Outcome Model Closing Market Difference Signal
Wiślanie Jaśkowice 34.7% 43.8% -9.1 pp Market Higher
Draw 29.6% 24.9% +4.8 pp Aligned
Jarosław 35.6% 31.3% +4.3 pp Aligned

The closing market estimates Wiślanie Jaśkowice's win probability at 43.8%, compared with the model's estimate of 34.7%, a difference of 9.1 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 Wiślanie Jaśkowice win 3–1.

Market Assessment

The market and model broadly agree on Wiślanie Jaśkowice. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

The closing market differed from the model on Jarosław by 9.1 percentage points (44.7% 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.

  1. Sep 12, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Wiślanie Jaśkowice 34.7% · Draw 29.7% · Jarosław 35.6%
    • xG · Wiślanie Jaśkowice 1.29 — Jarosław 1.31
  2. Sep 12, 2026 · 16:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Wiślanie Jaśkowice 2.03 · Draw 3.57 · Jarosław 2.84
    • Implied 1X2 · Wiślanie Jaśkowice 43.8% · Draw 24.9% · Jarosław 31.3%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Wiślanie Jaśkowice 2.03 · Draw 3.57 · Jarosław 2.84
    • Implied 1X2 · Wiślanie Jaśkowice 43.8% · Draw 24.9% · Jarosław 31.3%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Wiślanie Jaśkowice win · 3–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. 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 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 18/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:44 UTC Snapshot ID: dp-7465584

Closing Odds 2.03
AI Fair Odds —
CLV Pending
Final Result Wiślanie Jaśkowice win · Wiślanie Jaśkowice 3–1 Jarosław
Prediction ✖ Missed
Decision Grade F

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: III Liga - Group 4
  • Fixture: Wiślanie Jaśkowice vs Jarosław
  • Kickoff: 2026-09-12 17:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Wiślanie Jaśkowice 1.29 — Jarosław 1.31 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 38.4% · Probability edge: +13.4 pts · Est. EV: +27.4%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

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 30, 2026 (UTC)

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III Liga - Group 4 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
III Liga - Group 4 Poland. III Liga - Group 4 Predictions