Predictions / Football / Poland. Ekstraklasa / Wisla Krakow vs Slask Wroclaw

Prediction Audit: Wisla Krakow vs Slask Wroclaw Prediction, Odds & AI Betting Tips

Wisla Krakow Wisla Krakow
Sep 18, 2026 - 18:30
2 1.73
1 1.38
xG Accuracy: 84%
Slask Wroclaw Slask Wroclaw

AI correctly predicted the Wisla Krakow win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 Yes Yes ✔ Correct
  • 1X2 Wisla Krakow Wisla Krakow ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 1-2, 2-0 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Wisla Krakow higher than the statistical model.

Largest probability gap: Wisla Krakow -15.1 pp

Outcome Model Closing Market Difference Signal
Wisla Krakow 44.4% 59.5% -15.1 pp Market Higher
Draw 26.2% 21.8% +4.4 pp Aligned
Slask Wroclaw 29.4% 18.7% +10.7 pp Model Edge

The closing market estimates Wisla Krakow's win probability at 59.5%, compared with the model's estimate of 44.4%, a difference of 15.1 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 model's directional lean matched the result (Wisla Krakow win 2–1).

Market Assessment

The market is materially more optimistic about Wisla Krakow 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

  • Expected goals projected a high-scoring match (ΣxG 3.11) — 3 goals materialised
  • Wisla Krakow attacking xG significantly stronger (1.73 vs 1.38)
  • Both Teams To Score (Yes) matched the full-time result

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Wisla Krakow higher (59.5% vs model 44.4%, 15.1 pp), but the model's lean was validated (Wisla Krakow win 2–1).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Sep 18, 2026 · 18:29 UTC Forecast generated
    • Model 1X2 · Wisla Krakow 44.5% · Draw 26.2% · Slask Wroclaw 29.3%
    • xG · Wisla Krakow 1.73 — Slask Wroclaw 1.38
  2. Sep 18, 2026 · 18:03 UTC Opening odds snapshot PRE30
    • 1X2 odds · Wisla Krakow 1.61 · Draw 4.39 · Slask Wroclaw 5.13
    • Implied 1X2 · Wisla Krakow 59.5% · Draw 21.8% · Slask Wroclaw 18.7%
    • Bookmaker · Pinnacle
  3. Sep 18, 2026 · 18:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Wisla Krakow 1.61 · Draw 4.39 · Slask Wroclaw 5.13
    • Implied 1X2 · Wisla Krakow 59.5% · Draw 21.8% · Slask Wroclaw 18.7%
    • Bookmaker · Pinnacle
  4. Sep 18, 2026 · 18:30 UTC Kickoff
  5. FT Full-time result Wisla Krakow win · 2–1
  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 55/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 24/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 12, 2026 · 02:32 UTC Snapshot ID: dp-8228825

Closing Odds 1.61
AI Fair Odds —
CLV Pending
Final Result Wisla Krakow win · Wisla Krakow 2–1 Slask Wroclaw
Prediction ✔ Correct
Decision Grade A

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: Wisla Krakow vs Slask Wroclaw
  • Kickoff: 2026-09-18 18:30:00
  • 1X2 (model): Home 44.5% · Draw 26.2% · Away 29.3%
  • xG (showing): Wisla Krakow 1.73 — Slask Wroclaw 1.38 (total xG ≈ 3.11)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 39.9% · Over 2.5 60.1%); BTTS Yes (Yes 63.0% · No 37.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 63.0% · No 37.0%
  • Correct score (top bin): 1-1 (10.6%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

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