Statistics / Football / Slovenia. 2. SNL / Tabor Sežana vs Triglav

Tabor Sežana vs Triglav Statistics & Analysis

May 10, 2026 - 16:00
0 1.45
1 1.25
xG Accuracy: 63%
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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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Tabor Sežana Triglav ✖ Incorrect
  • Correct Score Insights 1-1 0-1 ✖ Incorrect

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: Tabor Sežana vs Triglav
  • Kickoff: 2026-05-10 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Tabor Sežana 1.45 — Triglav 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 69.4% · Implied: 56.6% · Probability edge: +12.8 pts · Est. EV: +15.9%
  • BTTS (model): Yes 69.4% · No 30.6%
  • Correct score (top bin): 1-1 (10.9%)

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

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

Best Bet + Reason

The engine’s headline primary is: BTTS Yes.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

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.

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