Predictions / Football / Cambodia. C-League / Dangkor Senchey vs Boeung Ket

Prediction Audit: Dangkor Senchey vs Boeung Ket Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 11:00
3 1.13
3 1.47
xG Accuracy: 39%

The model missed the final outcome (Draw 3–3).

The model had projected Boeung Ket at 43.4%, 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 Under 2.5 Over 2.5 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Boeung Ket Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 3-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Boeung Ket higher than the statistical model.

Largest probability gap: Boeung Ket -20.0 pp

Outcome Model Closing Market Difference Signal
Dangkor Senchey 27.5% 16.4% +11.1 pp Model Edge
Draw 29.1% 20.2% +9.0 pp Model Higher
Boeung Ket 43.4% 63.4% -20.0 pp Market Higher

The closing market estimates Boeung Ket's win probability at 63.4%, compared with the model's estimate of 43.4%, a difference of 20.0 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 3–3.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned Boeung Ket; match finished Draw

Market lesson

The closing market differed from the model on Boeung Ket by 20.0 percentage points (63.4% vs model 43.4%) — 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. Sep 06, 2026 · 11:01 UTC Forecast generated
    • Model 1X2 · Dangkor Senchey 27.5% · Draw 29.2% · Boeung Ket 43.3%
    • xG · Dangkor Senchey 1.13 — Boeung Ket 1.47
  2. Sep 06, 2026 · 10:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Dangkor Senchey 5.40 · Draw 4.40 · Boeung Ket 1.40
    • Implied 1X2 · Dangkor Senchey 16.4% · Draw 20.2% · Boeung Ket 63.4%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 11:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Dangkor Senchey 5.40 · Draw 4.40 · Boeung Ket 1.40
    • Implied 1X2 · Dangkor Senchey 16.4% · Draw 20.2% · Boeung Ket 63.4%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Draw · 3–3
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 01:23 UTC Snapshot ID: dp-6326061

Closing Odds 1.4
AI Fair Odds —
CLV Pending
Final Result Draw · Dangkor Senchey 3–3 Boeung Ket
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

Quick read on how the model reads this matchup.

  • League: C-League
  • Fixture: Dangkor Senchey vs Boeung Ket
  • Kickoff: 2026-09-06 11:00:00
  • 1X2 (model): Home 27.5% · Draw 29.2% · Away 43.3%
  • xG (showing): Dangkor Senchey 1.13 — Boeung Ket 1.47 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.7% · No 46.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.7% · No 46.3%
  • Correct score (top bin): 1-1 (12.3%)

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.

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

Historical Recommendation

Historical Decision: Wait

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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C-League C-League — Standings
# TEAM MP W D L PTS
1 Visakha 3 3 0 0 9
2 Svay Rieng 3 2 1 0 7
3 NagaWorld 3 2 1 0 7
4 Dangkor Senchey 3 1 2 0 5
5 Kompong Dewa 3 1 1 1 4
6 Kirivong Sok Sen Chey 3 1 0 2 3
7 Phnom Penh Crown 2 0 2 0 2
8 Angkor Tiger 3 0 2 1 2
9 Boeung Ket 2 0 1 1 1
10 Life Sihanoukville 2 0 0 2 0
11 National Defense 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Visakha 3 10 2 +8 9
2 Dangkor Senchey 3 10 4 +6 5
3 Svay Rieng 3 8 1 +7 7
4 NagaWorld 3 8 6 +2 7
5 National Defense 3 5 15 -10 0
6 Phnom Penh Crown 2 4 4 0 2
7 Boeung Ket 2 4 5 -1 1
8 Angkor Tiger 3 3 4 -1 2
9 Kompong Dewa 3 2 2 0 4
10 Kirivong Sok Sen Chey 3 2 10 -8 3
11 Life Sihanoukville 2 0 3 -3 0