Statistics / Football / World. Friendlies Clubs / CSKA Moscow vs Shinnik Yaroslavl

CSKA Moscow vs Shinnik Yaroslavl Statistics & Analysis

CSKA Moscow CSKA Moscow
Jun 30, 2026 - 14:00
1 1.43
1 1.17
xG Accuracy: 85%
Shinnik Yaroslavl Shinnik Yaroslavl
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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 Yes ✔ Correct
  • 1X2 CSKA Moscow Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 19:27 UTC Snapshot ID: dp-1491397

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · CSKA Moscow 1–1 Shinnik Yaroslavl
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Friendlies Clubs
  • Fixture: CSKA Moscow vs Shinnik Yaroslavl
  • Kickoff: 2026-06-30 14:00:00
  • 1X2 (model): Home 45.5% · Draw 28.1% · Away 26.4%
  • xG (showing): CSKA Moscow 1.43 — Shinnik Yaroslavl 1.17 (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): Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: AI–Market Conflict - 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 12, 2026 (UTC)

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