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

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

May 16, 2026 - 14:00
2 1.45
1 1.25
xG Accuracy: 80%

AI correctly predicted the Dravinja win.

The match finished 2–1, validating the model's directional assessment.

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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Dravinja Dravinja ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 2-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Dravinja -3.2 pp

Outcome Model Closing Market Difference Signal
Dravinja 41.8% 44.9% -3.2 pp Aligned
Draw 25.7% 22.5% +3.1 pp Aligned
Krško 32.6% 32.5% +0.0 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Dravinja win 2–1).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 3 goals materialised
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The model's directional lean matched the full-time result (Dravinja win 2–1).

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Prediction Timeline

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

  1. May 17, 2026 · 15:02 UTC Forecast generated
    • Model 1X2 · Dravinja 41.8% · Draw 25.7% · Krško 32.6%
    • xG · Dravinja 1.45 — Krško 1.25
  2. May 17, 2026 · 14:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Dravinja 2.00 · Draw 3.99 · Krško 2.76
    • Implied 1X2 · Dravinja 44.9% · Draw 22.5% · Krško 32.5%
    • Bookmaker · Pinnacle
  3. May 17, 2026 · 15:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Dravinja 2.00 · Draw 3.99 · Krško 2.76
    • Implied 1X2 · Dravinja 44.9% · Draw 22.5% · Krško 32.5%
    • Bookmaker · Pinnacle
  4. May 16, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Dravinja win · 2–1
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 84/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 17:17 UTC Snapshot ID: dp-6269853

Closing Odds 2.0
AI Fair Odds —
CLV Pending
Final Result Dravinja win · Dravinja 2–1 Krško
Prediction ✔ Correct
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

Quick read on how the model reads this matchup.

  • League: 2. SNL
  • Fixture: Dravinja vs Krško
  • Kickoff: 2026-05-17 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Dravinja 1.45 — Krško 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 66.1% · Implied: 44.1% · Probability edge: +22.0 pts · Est. EV: +38.8%
  • BTTS (model): Yes 33.9% · No 66.1%
  • Correct score (top bin): 1-1 (12.0%)

Totals and BTTS are evaluated against current market prices where available.

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

Historical Recommendation

Historical Decision: 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

October 02, 2026 (UTC)

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Back to Predictions
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