Statistics / Football / Vietnam. Cup / Phu Dong vs Viettel

Phu Dong vs Viettel Statistics & Analysis

Jun 11, 2026 - 11:00
4 1.43
1 1.27
xG Accuracy: 46%
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 Over 2.5 Over 2.5 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Phu Dong Phu Dong ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 1-2 4-1 ✖ Incorrect

Validation Report

Prediction Time: Frozen pre-match snapshot

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Phu Dong win · Phu Dong 4–1 Viettel
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Cup
  • Fixture: Phu Dong vs Viettel
  • Kickoff: 2026-06-11 11:00:00
  • 1X2 (model): Home N/A · Draw N/A · Away N/A
  • xG (showing): Phu Dong 1.43 — Viettel 1.27 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • 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.

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

Historical Recommendation

Historical Decision: 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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