Krka vs Gorica Statistics & Analysis

May 06, 2026 - 15:30
1 1.45
4 1.25
xG Accuracy: 42%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Krka Gorica ✖ Incorrect
  • Correct Score Insights 1-1 1-4 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 2. SNL
  • Fixture: Krka vs Gorica
  • Kickoff: 2026-05-07 15:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Krka 1.45 — Gorica 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 69.8% · Implied: 44.0% · Probability edge: +25.8 pts · Est. EV: +48.7%
  • BTTS (model): Yes 30.2% · No 69.8%
  • Correct score (top bin): 1-1 (12.8%)

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

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Primary pick from the decision engine: BTTS No.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
2. SNL 2. SNLStandings
# TEAM MP W D L PTS
1 Nafta 28 23 5 0 74
2 Brinje-Grosuplje 28 21 6 1 69
3 Triglav 29 20 3 6 63
4 Beltinci 29 17 6 6 57
5 Tabor Sežana 28 14 5 9 47
6 Bistrica 29 12 6 11 42
7 Rudar 29 9 10 10 37
8 Dravinja 29 9 7 13 34
9 Bilje 29 9 7 13 34
10 Dekani 29 7 9 13 30
11 Slovan Ljubljana 28 8 5 15 29
12 Krka 29 6 11 12 29
13 Ilirija 29 6 9 14 27
14 Krško 29 6 5 18 23
15 Gorica 29 4 10 15 22
16 Jesenice 29 4 6 19 18
# TEAM MP GS GC +/- PTS
1 Triglav 29 71 27 +44 63
2 Brinje-Grosuplje 28 67 25 +42 69
3 Nafta 28 63 20 +43 74
4 Beltinci 29 52 24 +28 57
5 Bistrica 29 49 36 +13 42
6 Rudar 29 46 37 +9 37
7 Ilirija 29 37 49 -12 27
8 Dekani 29 36 43 -7 30
9 Tabor Sežana 28 34 28 +6 47
10 Gorica 29 31 43 -12 22
11 Dravinja 29 31 44 -13 34
12 Krka 29 29 47 -18 29
13 Bilje 29 27 46 -19 34
14 Slovan Ljubljana 28 27 50 -23 29
15 Jesenice 29 26 67 -41 18
16 Krško 29 22 62 -40 23