Predictions / Football / Croatia. Second NL / Koprivnica vs Križevci

Prediction Audit: Koprivnica vs Križevci Prediction, Odds & AI Betting Tips

Sep 12, 2026 - 14:30
0 1.21
3 1.39
xG Accuracy: 46%

AI correctly predicted the Križevci win.

The match finished 0–3, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Križevci Križevci ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Koprivnica higher than the statistical model.

Largest probability gap: Koprivnica -23.8 pp

Outcome Model Closing Market Difference Signal
Koprivnica 31.0% 54.8% -23.8 pp Market Higher
Draw 29.5% 24.0% +5.5 pp Model Higher
Križevci 39.5% 21.2% +18.2 pp Model Edge

The closing market estimates Koprivnica's win probability at 54.8%, compared with the model's estimate of 31.0%, a difference of 23.8 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 (Križevci win 0–3).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (No) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Križevci higher (63.2% vs model 39.5%, 23.8 pp), but the model's lean was validated (Križevci win 0–3).

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Prediction Timeline

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

  1. Sep 12, 2026 · 14:31 UTC Forecast generated
    • Model 1X2 · Koprivnica 31.0% · Draw 29.5% · Križevci 39.5%
    • xG · Koprivnica 1.21 — Križevci 1.39
  2. Sep 12, 2026 · 14:22 UTC Opening odds snapshot PRE10
    • 1X2 odds · Koprivnica 1.62 · Draw 3.70 · Križevci 4.18
    • Implied 1X2 · Koprivnica 54.8% · Draw 24.0% · Križevci 21.2%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 14:31 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Koprivnica 1.62 · Draw 3.70 · Križevci 4.18
    • Implied 1X2 · Koprivnica 54.8% · Draw 24.0% · Križevci 21.2%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 14:30 UTC Kickoff
  5. FT Full-time result Križevci win · 0–3
  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 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:11 UTC Snapshot ID: dp-7455920

Closing Odds 1.62
AI Fair Odds —
CLV Pending
Final Result Križevci win · Koprivnica 0–3 Križevci
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

Quick read on how the model reads this matchup.

  • League: Second NL
  • Fixture: Koprivnica vs Križevci
  • Kickoff: 2026-09-12 14:30:00
  • 1X2 (model): Home 31.0% · Draw 29.5% · Away 39.5%
  • xG (showing): Koprivnica 1.21 — Križevci 1.39 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 44.1% · Probability edge: +7.7 pts · Est. EV: +16.6%
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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.

Early match state can move realised goals away from pre-kick projections.

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 30, 2026 (UTC)

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Second NL Second NL — Standings
# TEAM MP W D L PTS
1 Bjelovar 5 4 0 1 12
2 Uskok Klis 6 4 0 2 12
3 Uljanik 6 3 2 1 11
4 Trnje 5 3 1 1 10
5 Križevci 6 3 1 2 10
6 Jarun 5 1 4 0 7
7 Inter Zapresic 5 2 1 2 7
8 Grobničan Čavle 5 2 1 2 7
9 Dugo Selo 5 2 1 2 7
10 Hrvatski Dragovoljac 6 2 1 3 7
11 Zagora 5 1 3 1 6
12 Lucko 5 1 2 2 5
13 Slavonija Požega 6 1 2 3 5
14 Solin 5 1 2 2 5
15 Koprivnica 6 1 1 4 4
16 Varteks Varaždin 5 1 0 4 3
# TEAM MP GS GC +/- PTS
1 Bjelovar 5 15 8 +7 12
2 Uskok Klis 6 14 7 +7 12
3 Zagora 5 14 11 +3 6
4 Uljanik 6 14 13 +1 11
5 Jarun 5 11 10 +1 7
6 Slavonija Požega 6 11 13 -2 5
7 Križevci 6 10 9 +1 10
8 Trnje 5 9 4 +5 10
9 Inter Zapresic 5 9 8 +1 7
10 Grobničan Čavle 5 8 10 -2 7
11 Koprivnica 6 8 16 -8 4
12 Lucko 5 6 5 +1 5
13 Solin 5 6 8 -2 5
14 Hrvatski Dragovoljac 6 5 8 -3 7
15 Dugo Selo 5 4 6 -2 7
16 Varteks Varaždin 5 3 11 -8 3