Prediction Audit: DPMM FC vs Sabah FA Prediction, Odds & AI Betting Tips

May 09, 2026 - 12:15
0 1.45
1 1.25
xG Accuracy: 63%

The model missed the final outcome (Sabah FA win 0–1).

The model had projected DPMM FC 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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 DPMM FC Sabah FA ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 0-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: DPMM FC +2.0 pp

Outcome Model Closing Market Difference Signal
DPMM FC 41.8% 39.8% +2.0 pp Aligned
Draw 25.7% 26.3% -0.7 pp Aligned
Sabah FA 32.6% 33.9% -1.3 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Sabah FA win 0–1.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Both Teams To Score (No) matched the full-time result
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)
  • 1X2: model leaned DPMM FC; match finished Sabah FA

Market lesson

The full-time result was Sabah FA win 0–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. May 09, 2026 · 12:14 UTC Forecast generated
    • Model 1X2 · DPMM FC 41.8% · Draw 25.7% · Sabah FA 32.6%
    • xG · DPMM FC 1.45 — Sabah FA 1.25
  2. May 09, 2026 · 11:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · DPMM FC 2.56 · Draw 3.22 · Sabah FA 2.08
    • Implied 1X2 · DPMM FC 33.0% · Draw 26.3% · Sabah FA 40.7%
    • Bookmaker · SBO
  3. May 09, 2026 · 12:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · DPMM FC 2.13 · Draw 3.22 · Sabah FA 2.50
    • Implied 1X2 · DPMM FC 39.8% · Draw 26.3% · Sabah FA 33.9%
    • Bookmaker · SBO
  4. May 09, 2026 · 12:15 UTC Kickoff
  5. FT Full-time result Sabah FA win · 0–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 90/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 13:41 UTC Snapshot ID: dp-1600636

Closing Odds 2.13
AI Fair Odds —
CLV Pending
Final Result Sabah FA win · DPMM FC 0–1 Sabah FA
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.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Super League
  • Fixture: DPMM FC vs Sabah FA
  • Kickoff: 2026-05-09 12:15:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): DPMM FC 1.45 — Sabah FA 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 56.6% · Implied: 35.1% · Probability edge: +21.5 pts · Est. EV: +58.5%
  • BTTS (model): Yes 43.4% · No 56.6%
  • Correct score (top bin): 1-1 (9.0%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

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

October 02, 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