Predictions / Football / Malaysia. Super League / Negeri Sembilan vs Melaka

Prediction Audit: Negeri Sembilan vs Melaka Prediction, Odds & AI Betting Tips

May 03, 2026 - 13:00
0 1.45
0 1.25
xG Accuracy: 48%

The model missed the final outcome (Draw 0–0).

The model had projected Negeri Sembilan at 41.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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

Model vs Closing Market

Strong Disagreement

The closing market prices Negeri Sembilan higher than the statistical model.

Largest probability gap: Negeri Sembilan -14.7 pp

Outcome Model Closing Market Difference Signal
Negeri Sembilan 41.8% 56.5% -14.7 pp Market Higher
Draw 25.7% 23.5% +2.2 pp Aligned
Melaka 32.6% 20.1% +12.5 pp Model Edge

The closing market estimates Negeri Sembilan's win probability at 56.5%, compared with the model's estimate of 41.8%, a difference of 14.7 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 0–0.

Market Assessment

The market is materially more optimistic about Negeri Sembilan than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)

Market lesson

The closing market differed from the model on Negeri Sembilan by 14.7 percentage points (56.5% vs model 41.8%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Before kickoff Forecast generated
    • Model 1X2 · Negeri Sembilan 41.8% · Draw 25.7% · Melaka 32.6%
    • xG · Negeri Sembilan 1.45 — Melaka 1.25
  2. May 03, 2026 · 12:51 UTC Opening odds snapshot PRE10
    • 1X2 odds · Negeri Sembilan 1.62 · Draw 3.90 · Melaka 4.56
    • Implied 1X2 · Negeri Sembilan 56.5% · Draw 23.5% · Melaka 20.1%
    • Bookmaker · Pinnacle
  3. May 03, 2026 · 13:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Negeri Sembilan 1.62 · Draw 3.90 · Melaka 4.56
    • Implied 1X2 · Negeri Sembilan 56.5% · Draw 23.5% · Melaka 20.1%
    • Bookmaker · Pinnacle
  4. May 03, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 17:08 UTC Snapshot ID: dp-1478098

Closing Odds 1.62
AI Fair Odds —
CLV Pending
Final Result Draw · Negeri Sembilan 0–0 Melaka
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

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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