Statistics / Football / Slovenia. 1. SNL / Nafta vs Koper

Nafta vs Koper Statistics & Analysis

Nafta Nafta
Jul 17, 2026 - 16:00
0 1.10
2 1.50
xG Accuracy: 64%
Koper Koper
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Tracked markets vs full-time result

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

Validation Report

Immutable Snapshot

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

Closing Odds 1.5
AI Fair Odds —
CLV +0.0%
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%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Nafta (1X2), Draw (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 12.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Nafta (1X2) 26.2 15.3 +10.9
Draw (1X2) 29.0 21.5 +7.5
Koper (1X2) 44.8 63.2 -18.4
Over 2.5 goals 48.2 60.6 -12.4
Under 2.5 goals 51.8 39.4 +12.4
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 39.4%. The difference — about 12.4 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Nafta (1X2) 6.2 6.2 0.0
Draw (1X2) 4.41 4.41 0.0
Koper (1X2) 1.5 1.5 0.0
Over 2.5 goals 1.57 1.57 0.0
Under 2.5 goals 2.42 2.42 0.0

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 No
  • 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: AI Value Alert - No Primary Bet

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 27, 2026 (UTC)

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Back to Statistics
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