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

Tabor Sežana vs Rudar Statistics & Analysis

Tabor Sežana Tabor Sežana
May 23, 2026 - 15:00
2 1.45
0 1.25
xG Accuracy: 61%
Rudar Rudar
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Tabor Sežana Tabor Sežana ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 04:02 UTC Snapshot ID: dp-3024799

Closing Odds 1.97
AI Fair Odds —
CLV +0.0%
Final Result Tabor Sežana win · Tabor Sežana 2–0 Rudar
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Rudar (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 3.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Tabor Sežana (1X2) 41.8 45.1 -3.4
Draw (1X2) 25.7 24.8 +0.9
Rudar (1X2) 32.6 30.1 +2.4
Over 2.5 goals 50.6 54.5 -3.9
Under 2.5 goals 49.4 45.5 +3.9
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 45.5%. The difference — about 3.9 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Tabor Sežana (1X2) 1.97 1.97 0.0
Draw (1X2) 3.59 3.59 0.0
Rudar (1X2) 2.95 2.95 0.0
Over 2.5 goals 1.69 1.69 0.0
Under 2.5 goals 2.02 2.02 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 2. SNL
  • Fixture: Tabor Sežana vs Rudar
  • Kickoff: 2026-05-24 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Tabor Sežana 1.45 — Rudar 1.25 (total xG ≈ 2.7)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 49.4% · Implied: 46.8% · Probability edge: +2.6 pts · Est. EV: +2.3%
  • BTTS (model): Yes 57.4% · No 42.6%
  • Correct score (top bin): 1-1 (12.5%)

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.

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 29, 2026 (UTC)

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Back to Statistics
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
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