PSIS Semarang vs PSPS Statistics & Analysis

PSIS Semarang

Sep 11, 2026 - 12:00

2 1.18

1 1.42

xG Accuracy: 71%

PSPS

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Mercati tracciati vs risultato finale

Ogni riga confronta la tendenza del modello pre-partita con il risultato finale.

Mercato Previsione Risultato Esito
Over / Under 2.5 Under 2.5 Over 2.5 (3 gol) ✖ Errato
Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
1X2 PSPS PSIS Semarang ✖ Errato
Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-2, 1-0, 0-2 2-1 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Sep 05, 2026 · 01:11 UTC Snapshot ID: dp-7022948

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result PSIS Semarang win · PSIS Semarang 2–1 PSPS

Prediction ✖ Missed

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Briefing AI della partita

Riepilogo AI della partita

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

League: Liga 2 Indonesia
Fixture: PSIS Semarang vs PSPS
Kickoff: 2026-09-11 12:00:00
1X2 (model): Home 29.6% · Draw 29.4% · Away 41.0%
xG (showing): PSIS Semarang 1.18 — PSPS 1.42 (total xG ≈ 2.6)
Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
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 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.1% · No 45.9%
Correct score (top bin): 1-1 (12.4%)

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.

Raccomandazione Storica

Decisione Storica: No Primary Bet

Esito: Missed — Pre-match 1X2 lean did not match the full-time result.

Fattori di Rischio Considerati Prima del Calcio d'Inizio

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%).

Ultimo aggiornamento

September 24, 2026 (UTC)

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