Predictions / Football / Slovenia. 2. SNL / Rudar vs Krško

Prediction Audit: Rudar vs Krško Prediction, Odds & AI Betting Tips

Rudar Rudar
May 07, 2026 - 16:00
3 1.45
0 1.25
xG Accuracy: 46%
Krško Krško

AI correctly predicted the Rudar win.

The match finished 3–0, 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 Rudar Rudar ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 3-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Rudar higher than the statistical model.

Largest probability gap: Rudar -19.8 pp

Outcome Model Closing Market Difference Signal
Rudar 41.8% 61.5% -19.8 pp Market Higher
Draw 25.7% 21.8% +3.9 pp Aligned
Krško 32.6% 16.7% +15.9 pp Model Edge

The closing market estimates Rudar's win probability at 61.5%, compared with the model's estimate of 41.8%, a difference of 19.8 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 (Rudar win 3–0).

Market Assessment

The market is materially more optimistic about Rudar 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

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 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 Rudar higher (61.6% vs model 41.8%, 19.8 pp), but the model's lean was validated (Rudar win 3–0).

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Prediction Timeline

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

  1. May 07, 2026 · 14:59 UTC Forecast generated
    • Model 1X2 · Rudar 41.8% · Draw 25.7% · Krško 32.6%
    • xG · Rudar 1.45 — Krško 1.25
  2. May 07, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rudar 1.44 · Draw 4.07 · Krško 5.31
    • Implied 1X2 · Rudar 61.5% · Draw 21.8% · Krško 16.7%
    • Bookmaker · Pinnacle
  3. May 07, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rudar 1.44 · Draw 4.07 · Krško 5.31
    • Implied 1X2 · Rudar 61.5% · Draw 21.8% · Krško 16.7%
    • Bookmaker · Pinnacle
  4. May 07, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Rudar win · 3–0
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 1/100
Betting Confidence 42/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 12:20 UTC Snapshot ID: dp-2608755

Closing Odds 1.44
AI Fair Odds —
CLV Pending
Final Result Rudar win · Rudar 3–0 Krško
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: 2. SNL
  • Fixture: Rudar vs Krško
  • Kickoff: 2026-05-07 15:00:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Rudar 1.45 — Krško 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 62.7% · Implied: 50.4% · Probability edge: +12.3 pts · Est. EV: +16.0%
  • BTTS (model): Yes 37.3% · No 62.7%
  • Correct score (top bin): 1-1 (11.2%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

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

October 02, 2026 (UTC)

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2. SNL 2. SNL — Standings
# TEAM MP W D L PTS
1 Brinje-Grosuplje 30 23 6 1 75
2 Nafta 30 23 6 1 75
3 Triglav 30 20 4 6 64
4 Beltinci 30 18 6 6 60
5 Tabor Sežana 30 15 5 10 50
6 Bistrica 30 13 6 11 45
7 Dravinja 30 10 7 13 37
8 Rudar 30 9 10 11 37
9 Bilje 30 9 7 14 34
10 Dekani 30 8 9 13 33
11 Slovan Ljubljana 30 9 5 16 32
12 Krka 30 6 11 13 29
13 Ilirija 30 6 9 15 27
14 Krško 30 7 5 18 26
15 Gorica 30 4 10 16 22
16 Jesenice 30 4 6 20 18
# TEAM MP GS GC +/- PTS
1 Triglav 30 72 28 +44 64
2 Brinje-Grosuplje 30 70 26 +44 75
3 Nafta 30 65 23 +42 75
4 Beltinci 30 55 25 +30 60
5 Bistrica 30 50 36 +14 45
6 Rudar 30 46 39 +7 37
7 Dekani 30 40 46 -6 33
8 Ilirija 30 38 52 -14 27
9 Tabor Sežana 30 37 33 +4 50
10 Dravinja 30 32 44 -12 37
11 Krka 30 32 51 -19 29
12 Slovan Ljubljana 30 32 52 -20 32
13 Gorica 30 31 45 -14 22
14 Bilje 30 27 47 -20 34
15 Jesenice 30 26 68 -42 18
16 Krško 30 24 62 -38 26
2. SNL Slovenia. 2. SNL Predictions