Malaysia vs Laos Statistics & Analysis

Malaysia

Jul 28, 2026 - 13:00

4 1.34

0 1.26

xG Accuracy: 34%

Laos

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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 Over 2.5 (4 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Malaysia Malaysia ✔ Correct
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:49 UTC Snapshot ID: dp-1451625

Closing Odds 1.05

AI Fair Odds —

CLV +0.0%

Final Result Malaysia win · Malaysia 4–0 Laos

Prediction ✔ Correct

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

The largest late implied swing on this feed was about 2.2 percentage points on Malaysia (1X2) between PRE30 and PRE1.

The model still exceeds closing implied on Laos (1X2) by about 15.1 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Malaysia (1X2)	57.1	84.5	-27.4
Draw (1X2)	23.8	11.5	+12.3
Laos (1X2)	19.1	4.0	+15.1

What this means

In plain terms: the model lands near 19.1% on Laos (1X2), while the closing snapshot implied about 4.0%. The difference — about 15.1 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: SBO

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.

Market	Early (PRE30)	Closing (PRE1)	Implied Δ (pp)
Malaysia (1X2)	1.02	1.05	-2.2
Draw (1X2)	9.06	7.72	+1.7
Laos (1X2)	25.0	22.12	+0.5

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: ASEAN Championship
Fixture: Malaysia vs Laos
Kickoff: 2026-07-28 13:00:00
1X2 (model): Home 57.1% · Draw 23.8% · Away 19.1%
xG (showing): Malaysia 1.34 — Laos 1.26 (total xG ≈ 2.6)
Value headline: None (actionable) — best tracked EV is about +1.5%, still below the +2.0% minimum for a headline / default stake (no default bet).
Structural leans (not bets): Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes N/A · No N/A
Correct score (top bin): N/A

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: Wait - 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 28, 2026 (UTC)

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