Predictions / Football / World. UEFA Europa League / Lech Poznan vs FC Thun

Prediction Audit: Lech Poznan vs FC Thun Prediction, Odds & AI Betting Tips

Aug 20, 2026 - 17:00
7 1.32
0 1.28
xG Accuracy: 15%

AI correctly predicted the Lech Poznan win.

The match finished 7–0, 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 Under 2.5 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Lech Poznan Lech Poznan ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 7-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Lech Poznan higher than the statistical model.

Largest probability gap: Lech Poznan -28.7 pp

Outcome Model Closing Market Difference Signal
Lech Poznan 36.1% 64.8% -28.7 pp Market Higher
Draw 29.6% 19.9% +9.7 pp Model Higher
FC Thun 34.2% 15.2% +19.0 pp Model Edge

The closing market estimates Lech Poznan's win probability at 64.8%, compared with the model's estimate of 36.1%, a difference of 28.7 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 (Lech Poznan win 7–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 7 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Lech Poznan higher (64.8% vs model 36.1%, 28.7 pp), but the model's lean was validated (Lech Poznan win 7–0).

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Prediction Timeline

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

  1. Aug 20, 2026 · 17:00 UTC Forecast generated
    • Model 1X2 · Lech Poznan 36.1% · Draw 29.7% · FC Thun 34.2%
    • xG · Lech Poznan 1.32 — FC Thun 1.28
  2. Aug 20, 2026 · 16:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Lech Poznan 1.45 · Draw 5.03 · FC Thun 6.00
    • Implied 1X2 · Lech Poznan 65.4% · Draw 18.8% · FC Thun 15.8%
    • Bookmaker · Pinnacle
  3. Aug 20, 2026 · 17:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Lech Poznan 1.46 · Draw 4.75 · FC Thun 6.21
    • Implied 1X2 · Lech Poznan 64.8% · Draw 19.9% · FC Thun 15.2%
    • Bookmaker · Pinnacle
  4. Aug 20, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Lech Poznan win · 7–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 49/100 · Moderate
  • Validation: Warning
  • Large market gap (29 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 31/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 02:23 UTC Snapshot ID: dp-4232732

Closing Odds 1.46
AI Fair Odds —
CLV Pending
Final Result Lech Poznan win · Lech Poznan 7–0 FC Thun
Prediction ✔ Correct
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

Pre-match snapshot for this fixture.

  • League: UEFA Europa League
  • Fixture: Lech Poznan vs FC Thun
  • Kickoff: 2026-08-20 17:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Lech Poznan 1.32 — FC Thun 1.28 (total xG ≈ 2.6)
  • 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 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait

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 29, 2026 (UTC)

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UEFA Europa League UEFA Europa League — Standings
# TEAM MP W D L PTS
1 Juventus 1 1 0 0 3
2 Crystal Palace 1 1 0 0 3
3 Sparta Praha 1 1 0 0 3
4 Besiktas 1 1 0 0 3
5 Union St. Gilloise 1 1 0 0 3
6 Ferencvarosi TC 1 1 0 0 3
7 Benfica 1 1 0 0 3
8 Bayer Leverkusen 1 1 0 0 3
9 OFI 1 1 0 0 3
10 Bournemouth 1 1 0 0 3
11 Lyon 1 1 0 0 3
12 Torreense 1 1 0 0 3
13 Olympiakos Piraeus 1 1 0 0 3
14 Red Bull Salzburg 1 1 0 0 3
15 Sunderland 1 1 0 0 3
16 Omonia Nicosia 1 1 0 0 3
17 Sturm Graz 1 0 1 0 1
18 Rennes 1 0 1 0 1
19 Dinamo Zagreb 1 0 1 0 1
20 Hapoel Beer Sheva 1 0 1 0 1
21 Jagiellonia 1 0 0 1 0
22 Real Sociedad 1 0 0 1 0
23 Anderlecht 1 0 0 1 0
24 Lillestrom 1 0 0 1 0
25 Celta Vigo 1 0 0 1 0
26 AZ Alkmaar 1 0 0 1 0
27 Levski Sofia 1 0 0 1 0
28 Celtic 1 0 0 1 0
29 1899 Hoffenheim 1 0 0 1 0
30 AC Milan 1 0 0 1 0
31 Celje 1 0 0 1 0
32 Marseille 1 0 0 1 0
33 Ararat-Armenia 1 0 0 1 0
34 Plzen 1 0 0 1 0
35 Lech Poznan 1 0 0 1 0
36 NEC Nijmegen 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 Juventus 1 5 0 +5 3
2 Crystal Palace 1 4 0 +4 3
3 Sparta Praha 1 4 1 +3 3
4 Besiktas 1 4 1 +3 3
5 Union St. Gilloise 1 3 0 +3 3
6 Ferencvarosi TC 1 3 1 +2 3
7 Benfica 1 2 0 +2 3
8 Bayer Leverkusen 1 2 0 +2 3
9 OFI 1 2 0 +2 3
10 Bournemouth 1 2 1 +1 3
11 Lyon 1 2 1 +1 3
12 Torreense 1 2 1 +1 3
13 Olympiakos Piraeus 1 2 1 +1 3
14 Red Bull Salzburg 1 1 0 +1 3
15 Sunderland 1 1 0 +1 3
16 Omonia Nicosia 1 1 0 +1 3
17 Jagiellonia 1 1 2 -1 0
18 Real Sociedad 1 1 2 -1 0
19 Anderlecht 1 1 2 -1 0
20 Lillestrom 1 1 2 -1 0
21 Celtic 1 1 3 -2 0
22 Marseille 1 1 4 -3 0
23 Ararat-Armenia 1 1 4 -3 0
24 Sturm Graz 1 0 0 0 1
25 Rennes 1 0 0 0 1
26 Dinamo Zagreb 1 0 0 0 1
27 Hapoel Beer Sheva 1 0 0 0 1
28 Celta Vigo 1 0 1 -1 0
29 AZ Alkmaar 1 0 1 -1 0
30 Levski Sofia 1 0 1 -1 0
31 1899 Hoffenheim 1 0 2 -2 0
32 AC Milan 1 0 2 -2 0
33 Celje 1 0 2 -2 0
34 Plzen 1 0 3 -3 0
35 Lech Poznan 1 0 4 -4 0
36 NEC Nijmegen 1 0 5 -5 0
# TEAM MP xG xGC +/- PTS
1 Olympiakos Piraeus 1 2.5 0.5 +2.0 3
2 Sunderland 1 2.9 1.5 +1.4 3
3 Bayer Leverkusen 1 1.9 0.9 +1.0 3
4 Rennes 1 1.8 0.8 +1.0 1
5 Celta Vigo 1 1.2 0.3 +0.9 0
6 Sparta Praha 1 2.5 1.9 +0.6 3
7 Hapoel Beer Sheva 1 0.8 0.3 +0.5 1
8 AC Milan 1 1.0 0.6 +0.4 0
9 Anderlecht 1 1.4 1.3 +0.1 0
10 Lyon 1 1.3 1.4 -0.1 3
11 Benfica 1 0.6 1.0 -0.4 3
12 Dinamo Zagreb 1 0.3 0.8 -0.5 1
13 Ararat-Armenia 1 1.9 2.5 -0.6 0
14 Omonia Nicosia 1 0.3 1.2 -0.9 3
15 Celje 1 0.9 1.9 -1.0 0
16 Sturm Graz 1 0.8 1.8 -1.0 1
17 AZ Alkmaar 1 1.5 2.9 -1.4 0
18 Jagiellonia 1 0.5 2.5 -2.0 0
19 Juventus 1 — — — 3
20 Crystal Palace 1 — — — 3
21 Besiktas 1 — — — 3
22 Union St. Gilloise 1 — — — 3
23 Ferencvarosi TC 1 — — — 3
24 OFI 1 — — — 3
25 Bournemouth 1 — — — 3
26 Torreense 1 — — — 3
27 Red Bull Salzburg 1 — — — 3
28 Real Sociedad 1 — — — 0
29 Lillestrom 1 — — — 0
30 Levski Sofia 1 — — — 0
31 Celtic 1 — — — 0
32 1899 Hoffenheim 1 — — — 0
33 Marseille 1 — — — 0
34 Plzen 1 — — — 0
35 Lech Poznan 1 — — — 0
36 NEC Nijmegen 1 — — — 0