Statistics / Football / Malaysia. Super League / Terengganu vs Imigresen

Terengganu vs Imigresen Statistics & Analysis

May 08, 2026 - 13:00
1 1.45
3 1.25
xG Accuracy: 55%
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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Terengganu Imigresen ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 2-2 1-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 17:07 UTC Snapshot ID: dp-1478041

Closing Odds 1.48
AI Fair Odds —
CLV +0.0%
Final Result Imigresen win · Terengganu 1–3 Imigresen
Prediction ✖ Missed
Decision Grade F

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 Draw (1X2), Imigresen (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 15.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Terengganu (1X2) 41.8 61.9 -20.1
Draw (1X2) 25.7 20.6 +5.1
Imigresen (1X2) 32.6 17.5 +15.0
Over 2.5 goals 50.6 66.5 -15.9
Under 2.5 goals 49.4 33.5 +15.9
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 33.5%. The difference — about 15.9 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)
Terengganu (1X2) 1.48 1.48 0.0
Draw (1X2) 4.45 4.45 0.0
Imigresen (1X2) 5.22 5.22 0.0
Over 2.5 goals 1.4 1.4 0.0
Under 2.5 goals 2.78 2.78 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Super League
  • Fixture: Terengganu vs Imigresen
  • Kickoff: 2026-05-08 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Terengganu 1.45 — Imigresen 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 37.0% · Over 2.5 63.0%); BTTS No (Yes 55.8% · No 44.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 55.8% · No 44.2%
  • Correct score (top bin): 1-1 (10.1%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait - 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 30, 2026 (UTC)

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Back to Statistics
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