Predictions / Football / Poland. III Liga - Group 4 / Moravia Morawica vs Jarosław

Prediction Audit: Moravia Morawica vs Jarosław Prediction, Odds & AI Betting Tips

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Moravia Morawica
Sep 27, 2026 - 13:00
2 1.32
2 1.28
xG Accuracy: 68%
Jarosław Jarosław

The model missed the final outcome (Draw 2–2).

The model had projected Moravia Morawica at 36.1%, 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 Moravia Morawica Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Jarosław higher than the statistical model.

Largest probability gap: Jarosław -24.7 pp

Outcome Model Closing Market Difference Signal
Moravia Morawica 36.1% 19.7% +16.4 pp Model Edge
Draw 29.6% 21.4% +8.2 pp Model Higher
Jarosław 34.2% 58.9% -24.7 pp Market Higher

The closing market estimates Jarosław's win probability at 58.9%, compared with the model's estimate of 34.2%, a difference of 24.7 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: PRE10.

After full time, the result was Draw 2–2.

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 Moravia Morawica by 24.7 percentage points (60.8% vs model 36.1%) — 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 27, 2026 · 12:50 UTC Forecast generated
    • Model 1X2 · Moravia Morawica 36.1% · Draw 29.7% · Jarosław 34.2%
    • xG · Moravia Morawica 1.32 — Jarosław 1.28
  2. Sep 27, 2026 · 12:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Moravia Morawica 4.52 · Draw 4.15 · Jarosław 1.51
    • Implied 1X2 · Moravia Morawica 19.7% · Draw 21.4% · Jarosław 58.9%
    • Bookmaker · Pinnacle
  3. Sep 27, 2026 · 12:50 UTC Closing snapshot recorded PRE10
    • 1X2 odds · Moravia Morawica 4.52 · Draw 4.15 · Jarosław 1.51
    • Implied 1X2 · Moravia Morawica 19.7% · Draw 21.4% · Jarosław 58.9%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:19 UTC Snapshot ID: dp-10089367

Closing Odds 1.51
AI Fair Odds —
CLV Pending
Final Result Draw · Moravia Morawica 2–2 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

Quick read on how the model reads this matchup.

  • League: III Liga - Group 4
  • Fixture: Moravia Morawica vs Jarosław
  • Kickoff: 2026-09-27 13:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Moravia Morawica 1.32 — Jarosław 1.28 (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: 34.5% · Probability edge: +17.3 pts · Est. EV: +42.4%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Wait

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