Statistics / Football / Slovenia. 2. SNL / Krka vs Dekani

Krka vs Dekani Statistics & Analysis

Krka Krka
Sep 20, 2026 - 14:30
1 1.28
2 1.32
xG Accuracy: 77%
Dekani Dekani
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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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Dekani Dekani ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:04 UTC Snapshot ID: dp-8682898

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Dekani win · Krka 1–2 Dekani
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

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: Krka vs Dekani
  • Kickoff: 2026-09-20 14:30:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): Krka 1.28 — Dekani 1.32 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.0%, 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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

September 28, 2026 (UTC)

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Back to Statistics
2. SNL 2. SNL — Standings
# TEAM MP W D L PTS
1 Tabor Sežana 8 6 1 1 19
2 Triglav 8 5 1 2 16
3 Beltinci 7 4 1 2 13
4 Ilirija 8 4 1 3 13
5 Jesenice 7 4 1 2 13
6 Dren Vrhnika 7 4 1 2 13
7 Rudar 7 4 0 3 12
8 Bilje 7 4 0 3 12
9 Dekani 8 3 3 2 12
10 Bistrica 8 3 1 4 10
11 Slovan Ljubljana 7 3 1 3 10
12 Primorje 8 2 2 4 8
13 Krka 7 2 1 4 7
14 Krško 7 1 2 4 5
15 Dravinja 7 1 1 5 4
16 Brežice 7 0 1 6 1
# TEAM MP GS GC +/- PTS
1 Tabor Sežana 8 18 6 +12 19
2 Beltinci 7 16 9 +7 13
3 Rudar 7 15 12 +3 12
4 Triglav 8 14 5 +9 16
5 Bilje 7 14 14 0 12
6 Ilirija 8 13 6 +7 13
7 Jesenice 7 11 8 +3 13
8 Dren Vrhnika 7 10 7 +3 13
9 Bistrica 8 9 13 -4 10
10 Primorje 8 9 14 -5 8
11 Krka 7 8 11 -3 7
12 Slovan Ljubljana 7 8 14 -6 10
13 Brežice 7 7 16 -9 1
14 Dravinja 7 7 17 -10 4
15 Dekani 8 6 4 +2 12
16 Krško 7 5 14 -9 5
2. SNL Slovenia. 2. SNL Predictions