Statistics / Football / Malaysia. Super League / Kelantan United vs Johor Darul Takzim FC

Kelantan United vs Johor Darul Takzim FC Statistics & Analysis

Kelantan United Kelantan United
May 10, 2026 - 13:00
1 1.45
14 1.25
xG Accuracy: 3%
Johor Darul Takzim FC Johor Darul Takzim FC
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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 Over 2.5 (15 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 draw Johor Darul Takzim FC ✖ Incorrect
  • Correct Score Insights 0-3, 0-2, 0-4, 0-1, 1-3 1-14 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 07, 2026 · 14:59 UTC Snapshot ID: dp-3183755

Closing Odds Pending
AI Fair Odds 2.39
CLV Pending
Final Result Johor Darul Takzim FC win · Kelantan United 1–14 Johor Darul Takzim FC
Prediction ✖ Missed
Decision Grade C

Probability Calibration

  • Expected: 41.8%
  • Historical Bucket: 40–45% — Actual 0.0% (n=2)

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: Super League
  • Fixture: Kelantan United vs Johor Darul Takzim FC
  • Kickoff: 2026-05-10 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Kelantan United 1.45 — Johor Darul Takzim FC 1.25 (total xG ≈ 2.7)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Kelantan United
  • Model: 41.8% · Implied: 1.7% · Probability edge: +40.1 pts · Est. EV: +2.2%
  • BTTS (model): Yes 50.0% · No 50.0%
  • Correct score (top bin): 0-3 (12.7%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

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 01, 2026 (UTC)

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Super League Super League — Standings
# TEAM MP W D L PTS
1 Johor Darul Takzim FC 24 23 1 0 70
2 Kuching FA 24 16 5 3 53
3 Selangor 24 16 4 4 52
4 Kuala Lumpur FA 24 12 7 5 43
5 Terengganu 24 10 6 8 36
6 Imigresen 24 9 5 10 32
7 Negeri Sembilan 24 6 11 7 29
8 Penang 24 6 7 11 25
9 Sabah FA 24 5 8 11 23
10 DPMM FC 24 6 5 13 23
11 Melaka 24 4 7 13 19
12 Kelantan United 24 4 3 17 15
13 Pdrm 24 2 5 17 11
# TEAM MP GS GC +/- PTS
1 Johor Darul Takzim FC 24 117 10 +107 70
2 Selangor 24 59 20 +39 52
3 Kuching FA 24 45 14 +31 53
4 Kuala Lumpur FA 24 40 29 +11 43
5 Terengganu 24 39 34 +5 36
6 Negeri Sembilan 24 39 35 +4 29
7 Imigresen 24 38 43 -5 32
8 DPMM FC 24 30 57 -27 23
9 Sabah FA 24 29 44 -15 23
10 Penang 24 26 41 -15 25
11 Melaka 24 18 45 -27 19
12 Kelantan United 24 17 63 -46 15
13 Pdrm 24 17 79 -62 11