Statistics / Football / World. Friendlies Clubs / Rilski Sportist vs CSKA Sofia II

Rilski Sportist vs CSKA Sofia II Statistics & Analysis

Rilski Sportist Rilski Sportist
Jul 11, 2026 - 15:00
0 1.31
2 1.29
xG Accuracy: 57%
CSKA Sofia II CSKA Sofia II
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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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Rilski Sportist CSKA Sofia II ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 16:08 UTC Snapshot ID: dp-1616133

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result CSKA Sofia II win · Rilski Sportist 0–2 CSKA Sofia II
Prediction ✖ Missed
Decision Grade F

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Friendlies Clubs
  • Fixture: Rilski Sportist vs CSKA Sofia II
  • Kickoff: 2026-07-11 15:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Rilski Sportist 1.31 — CSKA Sofia II 1.29 (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 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 (12.6%)

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 15, 2026 (UTC)

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