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

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

Dravinja Dravinja
Apr 30, 2026 - 15:00
1 1.45
0 1.25
xG Accuracy: 63%
Krka Krka

AI correctly predicted the Dravinja win.

The match finished 1–0, 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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Dravinja Dravinja ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 1-2 1-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Krka considerably stronger than the closing betting market.

Largest probability gap: Krka +7.0 pp

Outcome Model Closing Market Difference Signal
Dravinja 41.8% 43.3% -1.6 pp Aligned
Draw 25.7% 31.1% -5.4 pp Market Higher
Krka 32.6% 25.6% +7.0 pp Model Higher

The statistical model estimates Krka's win probability at 32.6%, compared with the closing market's implied probability of 25.6%, a difference of 7.0 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 (Dravinja win 1–0).

Market Assessment

The fair estimate shows a modest edge over current market pricing on Krka.

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

Post Match Insights

What worked

  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Dravinja more conservatively (34.8% vs model 41.8%, 7.0 pp), but the model's lean was validated (Dravinja win 1–0).

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Prediction Timeline

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

  1. Before kickoff Forecast generated
    • Model 1X2 · Dravinja 41.8% · Draw 25.7% · Krka 32.6%
    • xG · Dravinja 1.45 — Krka 1.25
  2. May 03, 2026 · 14:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Dravinja 2.05 · Draw 2.86 · Krka 3.47
    • Implied 1X2 · Dravinja 43.3% · Draw 31.1% · Krka 25.6%
    • Bookmaker · Pinnacle
  3. May 03, 2026 · 15:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Dravinja 2.05 · Draw 2.86 · Krka 3.47
    • Implied 1X2 · Dravinja 43.3% · Draw 31.1% · Krka 25.6%
    • Bookmaker · Pinnacle
  4. Apr 30, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Dravinja win · 1–0
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 65/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 03:54 UTC Snapshot ID: dp-1546865

Closing Odds 3.47
AI Fair Odds —
CLV Pending
Final Result Dravinja win · Dravinja 1–0 Krka
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.

Related Predictions

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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