Mornar vs Bokelj Statistics & Analysis

May 10, 2026 - 16:00
0 1.45
0 1.25
xG Accuracy: 48%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Mornar Draw ✖ Incorrect
  • Correct Score Insights 1-0, 1-1, 2-0, 0-0, 2-1 0-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 30, 2026 · 12:10 UTC Snapshot ID: dp-2509654

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Mornar 0–0 Bokelj
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: First League
  • Fixture: Mornar vs Bokelj
  • Kickoff: 2026-05-09 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Mornar 1.45 — Bokelj 1.25 (total xG ≈ 2.7)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 57.0% · Over 2.5 43.0%); BTTS Yes (Yes 55.4% · No 44.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 55.4% · No 44.6%
  • Correct score (top bin): 1-0 (13.2%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: AI–Market Conflict - No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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

October 07, 2026 (UTC)

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Back to Statistics
First League First League — Standings
# TEAM MP W D L PTS
1 Sutjeska 36 22 6 8 72
2 Mornar 36 20 9 7 69
3 Petrovac 36 13 12 11 51
4 Dečić 36 14 9 13 51
5 Buducnost Podgorica 36 13 9 14 48
6 Mladost DG 36 14 4 18 46
7 Arsenal Tivat 36 12 10 14 46
8 Jezero 36 10 11 15 41
9 Bokelj 36 8 12 16 36
10 Jedinstvo 36 9 8 19 35
# TEAM MP GS GC +/- PTS
1 Sutjeska 36 61 36 +25 72
2 Mornar 36 51 29 +22 69
3 Mladost DG 36 49 54 -5 46
4 Petrovac 36 44 36 +8 51
5 Dečić 36 43 45 -2 51
6 Jezero 36 38 48 -10 41
7 Bokelj 36 38 48 -10 36
8 Buducnost Podgorica 36 36 35 +1 48
9 Arsenal Tivat 36 36 46 -10 46
10 Jedinstvo 36 30 49 -19 35