Statistiche / Calcio / Argentina. Coppa Argentina / Platense vs Estudiantes La Plata

Platense vs Estudiantes La Plata Statistics & Analysis

Oct 02, 2026 - 00:15
1 1.25
0 1.35
xG Accuracy: 64%
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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 Over 2.5 Under 2.5 (1 gol) ✖ Errato
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì No ✖ Errato
  • 1X2 Estudiantes La Plata Platense ✖ Errato
  • Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:25 UTC Snapshot ID: dp-10111776

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Platense win · Platense 1–0 Estudiantes La Plata
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: Coppa Argentina
  • Fixture: Platense vs Estudiantes La Plata
  • Kickoff: 2026-10-02 00:15:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Platense 1.25 — Estudiantes La Plata 1.35 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 39.8% · Probability edge: +14.7 pts · Est. EV: +36.2%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

Raccomandazione Storica

Decisione Storica: Selective Lean - 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

October 13, 2026 (UTC)

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