Predictions / Football / Poland. Ekstraklasa / Slask Wroclaw vs Korona Kielce

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

Slask Wroclaw Slask Wroclaw
Sep 12, 2026 - 12:45
1 1.57
2 1.22
xG Accuracy: 69%
Korona Kielce Korona Kielce

The model missed the final outcome (Korona Kielce win 1–2).

The model had projected Slask Wroclaw at 43.9%, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Slask Wroclaw Korona Kielce ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Slask Wroclaw considerably stronger than the closing betting market.

Largest probability gap: Slask Wroclaw +9.9 pp

Outcome Model Closing Market Difference Signal
Slask Wroclaw 43.9% 34.0% +9.9 pp Model Higher
Draw 27.9% 28.1% -0.1 pp Aligned
Korona Kielce 28.1% 37.9% -9.8 pp Market Higher

The statistical model estimates Slask Wroclaw's win probability at 43.9%, compared with the closing market's implied probability of 34.0%, a difference of 9.9 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 result was Korona Kielce win 1–2.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Slask Wroclaw.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.79) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 1X2: model leaned Slask Wroclaw; match finished Korona Kielce

Market lesson

The closing market differed from the model on Slask Wroclaw by 9.9 percentage points (34.0% vs model 43.9%) — 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 · 12:44 UTC Forecast generated
    • Model 1X2 · Slask Wroclaw 43.9% · Draw 28.0% · Korona Kielce 28.1%
    • xG · Slask Wroclaw 1.57 — Korona Kielce 1.22
  2. Sep 12, 2026 · 12:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Slask Wroclaw 2.83 · Draw 3.43 · Korona Kielce 2.54
    • Implied 1X2 · Slask Wroclaw 34.0% · Draw 28.1% · Korona Kielce 37.9%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 12:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Slask Wroclaw 2.83 · Draw 3.43 · Korona Kielce 2.54
    • Implied 1X2 · Slask Wroclaw 34.0% · Draw 28.1% · Korona Kielce 37.9%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 12:45 UTC Kickoff
  5. FT Full-time result Korona Kielce win · 1–2
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • Statistical edge detected
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 17/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:17 UTC Snapshot ID: dp-7430578

Closing Odds 2.83
AI Fair Odds —
CLV Pending
Final Result Korona Kielce win · Slask Wroclaw 1–2 Korona Kielce
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: Ekstraklasa
  • Fixture: Slask Wroclaw vs Korona Kielce
  • Kickoff: 2026-09-12 12:45:00
  • 1X2 (model): Home 43.9% · Draw 28.0% · Away 28.1%
  • xG (showing): Slask Wroclaw 1.57 — Korona Kielce 1.22 (total xG ≈ 2.79)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Slask Wroclaw
  • Model: 43.9% · Implied: 34.0% · Probability edge: +9.9 pts · Est. EV: +7.0%
  • BTTS (model): Yes 57.3% · No 42.7%
  • Correct score (top bin): 1-1 (11.8%)

Totals and BTTS are evaluated against current market prices where available.

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

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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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