Statistics / Football / Croatia. Third NL - Jug / Kamen Ivanbegovina vs Zagora

Kamen Ivanbegovina vs Zagora Statistics & Analysis

May 10, 2026 - 15:30
1 1.45
0 1.25
xG Accuracy: 63%
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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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 draw Kamen Ivanbegovina ✖ Incorrect
  • Correct Score Insights 0-2, 1-2, 0-1, 1-1, 0-3 1-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 15:11 UTC Snapshot ID: dp-1465472

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Kamen Ivanbegovina win · Kamen Ivanbegovina 1–0 Zagora
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Third NL - Jug
  • Fixture: Kamen Ivanbegovina vs Zagora
  • Kickoff: 2026-05-10 15:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Kamen Ivanbegovina 1.45 — Zagora 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 37.0% · Over 2.5 63.0%); 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): 0-2 (10.3%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Historical Recommendation

Historical Decision: 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

September 29, 2026 (UTC)

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Back to Statistics
Third NL - Jug Third NL - Jug — Standings
# TEAM MP W D L PTS
1 Zagora 30 22 3 5 69
2 Neretva Metković 30 19 6 5 63
3 HNK Zadar 30 18 6 6 60
4 Sloga Mravince 30 13 9 8 48
5 Junak 30 12 6 12 42
6 Jadran KS 30 11 6 13 39
7 GOŠK Kaštel Gomilica 30 10 8 12 38
8 Vodice 30 10 7 13 37
9 Primorac Biograd 30 10 7 13 37
10 Hrvatski vitez 30 11 3 16 36
11 GOŠK Dubrovnik 30 8 11 11 35
12 Val Kaštel Stari 30 10 5 15 35
13 Sibenik 30 9 7 14 34
14 Omiš 30 9 6 15 33
15 Neretvanac Opuzen 30 9 6 15 33
16 Kamen Ivanbegovina 30 8 6 16 30
# TEAM MP GS GC +/- PTS
1 Zagora 30 71 32 +39 69
2 HNK Zadar 30 65 27 +38 60
3 Neretva Metković 30 58 26 +32 63
4 Sloga Mravince 30 50 39 +11 48
5 Hrvatski vitez 30 48 60 -12 36
6 Val Kaštel Stari 30 44 57 -13 35
7 Junak 30 43 40 +3 42
8 GOŠK Dubrovnik 30 40 42 -2 35
9 Primorac Biograd 30 39 46 -7 37
10 Omiš 30 37 43 -6 33
11 Jadran KS 30 36 49 -13 39
12 Neretvanac Opuzen 30 34 47 -13 33
13 Vodice 30 33 37 -4 37
14 Sibenik 30 32 49 -17 34
15 GOŠK Kaštel Gomilica 30 31 36 -5 38
16 Kamen Ivanbegovina 30 30 61 -31 30