Predictions / Football / World. UEFA Europa League / Juventus vs NEC Nijmegen

Prediction Audit: Juventus vs NEC Nijmegen Prediction, Odds & AI Betting Tips

Juventus Juventus
Sep 17, 2026 - 19:00
5 1.37
0 1.32
xG Accuracy: 26%
NEC Nijmegen NEC Nijmegen

AI correctly predicted the Juventus win.

The match finished 5–0, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Juventus Juventus ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 5-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Juventus higher than the statistical model.

Largest probability gap: Juventus -22.9 pp

Outcome Model Closing Market Difference Signal
Juventus 59.5% 82.4% -22.9 pp Market Higher
Draw 22.3% 11.5% +10.8 pp Model Edge
NEC Nijmegen 18.2% 6.1% +12.1 pp Model Edge

The closing market estimates Juventus's win probability at 82.4%, compared with the model's estimate of 59.5%, a difference of 22.9 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 (Juventus win 5–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.69) — 5 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 (5 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Juventus higher (82.4% vs model 59.5%, 22.9 pp), but the model's lean was validated (Juventus win 5–0).

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 17, 2026 · 19:16 UTC Forecast generated
    • Model 1X2 · Juventus 59.5% · Draw 22.3% · NEC Nijmegen 18.2%
    • xG · Juventus 1.37 — NEC Nijmegen 1.32
  2. Sep 17, 2026 · 18:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Juventus 1.17 · Draw 8.36 · NEC Nijmegen 15.84
    • Implied 1X2 · Juventus 82.4% · Draw 11.5% · NEC Nijmegen 6.1%
    • Bookmaker · Pinnacle
  3. Sep 17, 2026 · 19:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Juventus 1.17 · Draw 8.36 · NEC Nijmegen 15.84
    • Implied 1X2 · Juventus 82.4% · Draw 11.5% · NEC Nijmegen 6.1%
    • Bookmaker · Pinnacle
  4. Sep 17, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Juventus win · 5–0
  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 52/100 · Moderate
  • Validation: Warning
  • Large market gap (23 pp)
Evidence ★★★★★
  • Moderate model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 11, 2026 · 04:11 UTC Snapshot ID: dp-8000349

Closing Odds 1.17
AI Fair Odds —
CLV Pending
Final Result Juventus win · Juventus 5–0 NEC Nijmegen
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

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

  • League: UEFA Europa League
  • Fixture: Juventus vs NEC Nijmegen
  • Kickoff: 2026-09-17 19:00:00
  • 1X2 (model): Home 59.5% · Draw 22.3% · Away 18.2%
  • xG (showing): Juventus 1.37 — NEC Nijmegen 1.32 (total xG ≈ 2.69)
  • 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 49.6% · Over 2.5 50.4%); BTTS Yes (Yes 56.3% · No 43.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 56.3% · No 43.7%
  • Correct score (top bin): 1-1 (12.3%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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