Predictions / Football / Poland. Ekstraklasa / Jagiellonia vs Widzew Łódź

Prediction Audit: Jagiellonia vs Widzew Łódź Prediction, Odds & AI Betting Tips

Aug 09, 2026 - 18:15
0 1.10
2 1.53
xG Accuracy: 65%

AI correctly predicted the Widzew Łódź win.

The match finished 0–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Yes No ✖ Incorrect
  • 1X2 Widzew Łódź Widzew Łódź ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 0-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Jagiellonia higher than the statistical model.

Largest probability gap: Jagiellonia -11.2 pp

Outcome Model Closing Market Difference Signal
Jagiellonia 29.8% 41.0% -11.2 pp Market Higher
Draw 29.1% 28.2% +0.8 pp Aligned
Widzew Łódź 41.2% 30.8% +10.4 pp Model Edge

The closing market estimates Jagiellonia's win probability at 41.0%, compared with the model's estimate of 29.8%, a difference of 11.2 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 (Widzew Łódź win 0–2).

Market Assessment

The market is materially more optimistic about Jagiellonia 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

  • Widzew Łódź attacking xG significantly stronger (1.53 vs 1.10)
  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–2 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Widzew Łódź higher (52.4% vs model 41.2%, 11.2 pp), but the model's lean was validated (Widzew Łódź win 0–2).

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Prediction Timeline

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

  1. Aug 09, 2026 · 19:29 UTC Forecast generated
    • Model 1X2 · Jagiellonia 29.8% · Draw 29.1% · Widzew Łódź 41.2%
    • xG · Jagiellonia 1.10 — Widzew Łódź 1.53
  2. Aug 09, 2026 · 17:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Jagiellonia 2.35 · Draw 3.41 · Widzew Łódź 3.13
    • Implied 1X2 · Jagiellonia 41.0% · Draw 28.2% · Widzew Łódź 30.8%
    • Bookmaker · Pinnacle
  3. Aug 09, 2026 · 18:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Jagiellonia 2.35 · Draw 3.41 · Widzew Łódź 3.13
    • Implied 1X2 · Jagiellonia 41.0% · Draw 28.2% · Widzew Łódź 30.8%
    • Bookmaker · Pinnacle
  4. Aug 09, 2026 · 18:15 UTC Kickoff
  5. FT Full-time result Widzew Łódź win · 0–2
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 15/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 01:35 UTC Snapshot ID: dp-2967719

Closing Odds 2.35
AI Fair Odds —
CLV Pending
Final Result Widzew Łódź win · Jagiellonia 0–2 Widzew Łódź
Prediction ✔ Correct
Decision Grade B-

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 vs Widzew Łódź
  • Kickoff: 2026-08-09 18:15:00
  • 1X2 (model): Home 29.8% · Draw 29.1% · Away 41.2%
  • xG (showing): Jagiellonia 1.1 — Widzew Łódź 1.53 (total xG ≈ 2.63)
  • 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 Under 2.5 (Under 2.5 51.1% · Over 2.5 48.9%); BTTS Yes (Yes 53.8% · No 46.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.8% · No 46.2%
  • Correct score (top bin): 1-1 (12.1%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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