Prediction Audit: Nafta vs Koper Prediction, Odds & AI Betting Tips

Jul 17, 2026 - 16:00
0 1.10
2 1.50
xG Accuracy: 64%

AI correctly predicted the Koper 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 Koper Koper ✔ 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 Koper higher than the statistical model.

Largest probability gap: Koper -18.4 pp

Outcome Model Closing Market Difference Signal
Nafta 26.2% 15.3% +10.9 pp Model Edge
Draw 28.9% 21.5% +7.5 pp Model Higher
Koper 44.8% 63.2% -18.4 pp Market Higher

The closing market estimates Koper's win probability at 63.2%, compared with the model's estimate of 44.8%, a difference of 18.4 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 (Koper win 0–2).

Market Assessment

The market is materially more optimistic about Koper 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

  • Koper attacking xG significantly stronger (1.50 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 Koper higher (63.2% vs model 44.8%, 18.4 pp), but the model's lean was validated (Koper win 0–2).

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Prediction Timeline

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

  1. Jul 17, 2026 · 16:00 UTC Forecast generated
    • Model 1X2 · Nafta 26.2% · Draw 29.0% · Koper 44.8%
    • xG · Nafta 1.10 — Koper 1.50
  2. Jul 17, 2026 · 15:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nafta 6.20 · Draw 4.41 · Koper 1.50
    • Implied 1X2 · Nafta 15.3% · Draw 21.5% · Koper 63.2%
    • Bookmaker · Pinnacle
  3. Jul 17, 2026 · 16:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nafta 6.20 · Draw 4.41 · Koper 1.50
    • Implied 1X2 · Nafta 15.3% · Draw 21.5% · Koper 63.2%
    • Bookmaker · Pinnacle
  4. Jul 17, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Koper 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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 8/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 00:13 UTC Snapshot ID: dp-1519372

Closing Odds 1.5
AI Fair Odds —
CLV Pending
Final Result Koper win · Nafta 0–2 Koper
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: Slovenian PrvaLiga
  • Fixture: Nafta vs Koper
  • Kickoff: 2026-07-17 16:00:00
  • 1X2 (model): Home 26.2% · Draw 29.0% · Away 44.8%
  • xG (showing): Nafta 1.1 — Koper 1.5 (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 53.4% · No 46.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.4% · No 46.6%
  • Correct score (top bin): 1-1 (12.3%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 28, 2026 (UTC)

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Back to Predictions
1. SNL 1. SNL — Standings
# TEAM MP W D L PTS
1 Maribor 10 5 5 0 20
2 Koper 10 5 3 2 18
3 Bravo 10 5 3 2 18
4 Olimpija Ljubljana 10 4 2 4 14
5 Aluminij 10 3 4 3 13
6 Nafta 10 4 1 5 13
7 Celje 9 3 3 3 12
8 Brinje-Grosuplje 10 3 2 5 11
9 Mura 10 2 3 5 9
10 Radomlje 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 Maribor 10 19 8 +11 20
2 Nafta 10 17 16 +1 13
3 Aluminij 10 16 11 +5 13
4 Brinje-Grosuplje 10 14 18 -4 11
5 Bravo 10 12 10 +2 18
6 Koper 10 11 8 +3 18
7 Celje 9 11 11 0 12
8 Olimpija Ljubljana 10 10 8 +2 14
9 Mura 10 10 21 -11 9
10 Radomlje 9 9 18 -9 5