Predictions / Football / Slovenia. 1. SNL / Nafta vs Radomlje

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

Sep 04, 2026 - 18:15
3 1.25
1 1.35
xG Accuracy: 56%

The model missed the final outcome (Nafta win 3–1).

The model had projected Radomlje at 37.5%, but the full-time result went the other way.

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Radomlje Nafta ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Nafta higher than the statistical model.

Largest probability gap: Nafta -8.7 pp

Outcome Model Closing Market Difference Signal
Nafta 32.9% 41.6% -8.7 pp Market Higher
Draw 29.6% 24.9% +4.7 pp Aligned
Radomlje 37.5% 33.5% +4.0 pp Aligned

The closing market estimates Nafta's win probability at 41.6%, compared with the model's estimate of 32.9%, a difference of 8.7 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 result was Nafta win 3–1.

Market Assessment

The market and model broadly agree on Nafta. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Radomlje; match finished Nafta

Market lesson

The closing market differed from the model on Radomlje by 8.7 percentage points (46.2% vs model 37.5%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 04, 2026 · 18:14 UTC Forecast generated
    • Model 1X2 · Nafta 32.9% · Draw 29.6% · Radomlje 37.6%
    • xG · Nafta 1.25 — Radomlje 1.35
  2. Sep 04, 2026 · 17:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nafta 2.29 · Draw 3.83 · Radomlje 2.84
    • Implied 1X2 · Nafta 41.6% · Draw 24.9% · Radomlje 33.5%
    • Bookmaker · Pinnacle
  3. Sep 04, 2026 · 18:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nafta 2.29 · Draw 3.83 · Radomlje 2.84
    • Implied 1X2 · Nafta 41.6% · Draw 24.9% · Radomlje 33.5%
    • Bookmaker · Pinnacle
  4. Sep 04, 2026 · 18:15 UTC Kickoff
  5. FT Full-time result Nafta win · 3–1
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 19/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 29, 2026 · 02:49 UTC Snapshot ID: dp-5927964

Closing Odds 2.29
AI Fair Odds —
CLV Pending
Final Result Nafta win · Nafta 3–1 Radomlje
Prediction ✖ Missed
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: 1. SNL
  • Fixture: Nafta vs Radomlje
  • Kickoff: 2026-09-04 18:15:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Nafta 1.25 — Radomlje 1.35 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.3%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • 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%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match 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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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