Statistics / Football / Indonesia. Liga 2 / PSBS Biak Numfor vs Cilegon United

PSBS Biak Numfor vs Cilegon United Statistics & Analysis

Oct 03, 2026 - 12:00
1 1.58
5 1.02
xG Accuracy: 28%
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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 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 PSBS Biak Numfor Cilegon United ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-5 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 27, 2026 · 01:43 UTC Snapshot ID: dp-11228949

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Cilegon United win · PSBS Biak Numfor 1–5 Cilegon United
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Liga 2
  • Fixture: PSBS Biak Numfor vs Cilegon United
  • Kickoff: 2026-10-03 12:00:00
  • 1X2 (model): Home 48.8% · Draw 28.3% · Away 22.9%
  • xG (showing): PSBS Biak Numfor 1.58 — Cilegon United 1.02 (total xG ≈ 2.6)
  • 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): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 52.3% · No 47.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 52.3% · No 47.7%
  • Correct score (top bin): 1-1 (12.0%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

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 05, 2026 (UTC)

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