Predictions / Football / Poland. Ekstraklasa / Pogon Szczecin vs Wieczysta Kraków

Prediction Audit: Pogon Szczecin vs Wieczysta Kraków Prediction, Odds & AI Betting Tips

Pogon Szczecin Pogon Szczecin
Sep 13, 2026 - 12:45
2 1.54
0 1.33
xG Accuracy: 61%
Wieczysta Kraków Wieczysta Kraków

AI correctly predicted the Pogon Szczecin win.

The match finished 2–0, 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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Pogon Szczecin Pogon Szczecin ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 1-2, 0-1 2-0 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Pogon Szczecin -3.7 pp

Outcome Model Closing Market Difference Signal
Pogon Szczecin 40.8% 44.5% -3.7 pp Aligned
Draw 27.8% 25.1% +2.7 pp Aligned
Wieczysta Kraków 31.4% 30.4% +1.1 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Pogon Szczecin win 2–0).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Pogon Szczecin win 2–0).

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 13, 2026 · 12:44 UTC Forecast generated
    • Model 1X2 · Pogon Szczecin 40.8% · Draw 27.8% · Wieczysta Kraków 31.4%
    • xG · Pogon Szczecin 1.54 — Wieczysta Kraków 1.33
  2. Sep 13, 2026 · 12:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Pogon Szczecin 2.16 · Draw 3.83 · Wieczysta Kraków 3.17
    • Implied 1X2 · Pogon Szczecin 44.5% · Draw 25.1% · Wieczysta Kraków 30.4%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 12:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Pogon Szczecin 2.16 · Draw 3.83 · Wieczysta Kraków 3.17
    • Implied 1X2 · Pogon Szczecin 44.5% · Draw 25.1% · Wieczysta Kraków 30.4%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 12:45 UTC Kickoff
  5. FT Full-time result Pogon Szczecin win · 2–0
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 81/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:22 UTC Snapshot ID: dp-7432473

Closing Odds 2.16
AI Fair Odds —
CLV Pending
Final Result Pogon Szczecin win · Pogon Szczecin 2–0 Wieczysta Kraków
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

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

  • League: Ekstraklasa
  • Fixture: Pogon Szczecin vs Wieczysta Kraków
  • Kickoff: 2026-09-13 12:45:00
  • 1X2 (model): Home 40.8% · Draw 27.8% · Away 31.4%
  • xG (showing): Pogon Szczecin 1.54 — Wieczysta Kraków 1.33 (total xG ≈ 2.87)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 45.3% · Implied: 43.1% · Probability edge: +2.2 pts · Est. EV: +4.2%
  • BTTS (model): Yes 59.3% · No 40.7%
  • Correct score (top bin): 1-1 (11.6%)

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.

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

Historical Recommendation

Historical Decision: No Primary Bet

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