Persis Solo vs PSBS Biak Numfor Statistics & Analysis

Persis Solo

Sep 20, 2026 - 12:00

7 1.32

0 1.28

xG Accuracy: 15%

PSBS Biak Numfor

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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 (7 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Persis Solo Persis Solo ✔ Correct
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 7-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:22 UTC Snapshot ID: dp-8667250

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Persis Solo win · Persis Solo 7–0 PSBS Biak Numfor

Prediction ✔ Correct

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Liga 2
Fixture: Persis Solo vs PSBS Biak Numfor
Kickoff: 2026-09-20 12:00:00
1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
xG (showing): Persis Solo 1.32 — PSBS Biak Numfor 1.28 (total xG ≈ 2.6)
Value headline: None (actionable) — best tracked EV is about +1.6%, still below the +2.0% minimum for a headline / default stake (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: AI–Market Conflict - 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 29, 2026 (UTC)

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