Statistics / Football / World. Friendlies Clubs / Arges Pitesti vs Slatina

Arges Pitesti vs Slatina Statistics & Analysis

Arges Pitesti Arges Pitesti
Oct 03, 2026 - 08:00
0 1.32
0 1.28
xG Accuracy: 49%
Slatina Slatina
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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 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Arges Pitesti Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 29, 2026 · 00:23 UTC Snapshot ID: dp-11651937

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Arges Pitesti 0–0 Slatina
Prediction ✖ Missed
Decision Grade C

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: Friendlies Clubs
  • Fixture: Arges Pitesti vs Slatina
  • Kickoff: 2026-10-03 08:00:00
  • 1X2 (model): Home 37.2% · Draw 27.6% · Away 35.2%
  • xG (showing): Arges Pitesti 1.32 — Slatina 1.28 (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 53.5% · No 46.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.5% · No 46.5%
  • 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.

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: 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 09, 2026 (UTC)

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