Predictions / Football / Poland. Ekstraklasa / Jagiellonia vs Korona Kielce

Prediction Audit: Jagiellonia vs Korona Kielce Prediction, Odds & AI Betting Tips

Jul 25, 2026 - 12:45
1 1.95
0 1.95
xG Accuracy: 45%

AI correctly predicted the Jagiellonia win.

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

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

Model vs Closing Market

Strong Disagreement

The model rates Korona Kielce considerably stronger than the closing betting market.

Largest probability gap: Korona Kielce +10.7 pp

Outcome Model Closing Market Difference Signal
Jagiellonia 42.1% 50.3% -8.2 pp Market Higher
Draw 24.4% 26.9% -2.4 pp Aligned
Korona Kielce 33.5% 22.8% +10.7 pp Model Edge

The statistical model estimates Korona Kielce's win probability at 33.5%, compared with the closing market's implied probability of 22.8%, a difference of 10.7 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 model's directional lean matched the result (Jagiellonia win 1–0).

Market Assessment

The statistical fair estimate is materially higher than the market on Korona Kielce.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Jagiellonia more conservatively (31.4% vs model 42.1%, 10.7 pp), but the model's lean was validated (Jagiellonia win 1–0).

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Prediction Timeline

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

  1. Jul 25, 2026 · 20:54 UTC Forecast generated
    • Model 1X2 · Jagiellonia 42.1% · Draw 24.4% · Korona Kielce 33.5%
    • xG · Jagiellonia 1.95 — Korona Kielce 1.95
  2. Jul 25, 2026 · 12:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Jagiellonia 1.91 · Draw 3.58 · Korona Kielce 4.21
    • Implied 1X2 · Jagiellonia 50.3% · Draw 26.9% · Korona Kielce 22.8%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 12:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Jagiellonia 1.91 · Draw 3.58 · Korona Kielce 4.21
    • Implied 1X2 · Jagiellonia 50.3% · Draw 26.9% · Korona Kielce 22.8%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 12:45 UTC Kickoff
  5. FT Full-time result Jagiellonia win · 1–0
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 58/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 46/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:57 UTC Snapshot ID: dp-1453649

Closing Odds 4.21
AI Fair Odds 1.63
CLV Pending
Final Result Jagiellonia win · Jagiellonia 1–0 Korona Kielce
Prediction ✔ Correct
Decision Grade F

Probability Calibration

  • Expected: 61.3%
  • Historical Bucket: 60–65% — Building sample

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Ekstraklasa
  • Fixture: Jagiellonia Białystok vs Korona Kielce
  • Kickoff: 2026-07-25 12:45:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Jagiellonia Białystok 1.95 — Korona Kielce 1.95 (total xG ≈ 3.9)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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

October 01, 2026 (UTC)

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Ekstraklasa Ekstraklasa — Standings
# TEAM MP W D L PTS
1 Gornik Zabrze 9 7 1 1 22
2 Legia Warszawa 9 5 4 0 19
3 Lech Poznan 8 6 1 1 19
4 Wisla Krakow 9 5 2 2 17
5 Pogon Szczecin 8 4 3 1 15
6 Korona Kielce 9 4 3 2 15
7 Zaglebie Lubin 9 4 3 2 15
8 Piast Gliwice 9 4 1 4 13
9 GKS Katowice 8 4 0 4 12
10 Jagiellonia 8 4 0 4 12
11 Wisla Plock 8 3 2 3 11
12 Widzew Łódź 9 1 6 2 9
13 Cracovia Krakow 9 2 2 5 8
14 Radomiak Radom 9 2 2 5 8
15 Slask Wroclaw 9 1 3 5 6
16 Motor Lublin 9 1 3 5 6
17 Wieczysta Kraków 8 1 2 5 5
18 Raków Częstochowa 9 1 0 8 3
# TEAM MP GS GC +/- PTS
1 Legia Warszawa 9 19 8 +11 19
2 Lech Poznan 8 17 7 +10 19
3 Wisla Krakow 9 17 12 +5 17
4 Gornik Zabrze 9 16 8 +8 22
5 GKS Katowice 8 16 13 +3 12
6 Piast Gliwice 9 16 15 +1 13
7 Widzew Łódź 9 13 13 0 9
8 Pogon Szczecin 8 12 6 +6 15
9 Korona Kielce 9 12 10 +2 15
10 Jagiellonia 8 12 13 -1 12
11 Raków Częstochowa 9 12 21 -9 3
12 Zaglebie Lubin 9 11 10 +1 15
13 Slask Wroclaw 9 11 15 -4 6
14 Wieczysta Kraków 8 11 17 -6 5
15 Wisla Plock 8 9 12 -3 11
16 Cracovia Krakow 9 9 14 -5 8
17 Motor Lublin 9 9 15 -6 6
18 Radomiak Radom 9 7 20 -13 8
# TEAM MP xG xGC +/- PTS
1 Lech Poznan 8 10.4 4.1 +6.3 19
2 Wisla Krakow 9 12.0 7.9 +4.1 17
3 Legia Warszawa 9 9.9 6.0 +3.9 19
4 Cracovia Krakow 9 10.4 7.1 +3.3 8
5 Gornik Zabrze 9 10.0 7.7 +2.3 22
6 Jagiellonia 8 8.9 6.9 +2.0 12
7 Zaglebie Lubin 9 8.4 8.2 +0.2 15
8 Widzew Łódź 9 9.8 9.7 +0.1 9
9 Slask Wroclaw 9 10.5 10.6 -0.1 6
10 Wieczysta Kraków 8 9.1 9.6 -0.5 5
11 Motor Lublin 9 8.7 9.2 -0.5 6
12 Pogon Szczecin 8 8.1 8.9 -0.8 15
13 Wisla Plock 8 9.6 10.8 -1.2 11
14 GKS Katowice 8 8.8 10.6 -1.8 12
15 Korona Kielce 9 5.4 8.7 -3.3 15
16 Piast Gliwice 9 7.3 10.8 -3.5 13
17 Radomiak Radom 9 7.4 11.2 -3.8 8
18 Raków Częstochowa 9 9.9 16.5 -6.6 3