Statistics / Football / World. Friendlies Clubs / Sparta Praha vs Vysočina Jihlava

Sparta Praha vs Vysočina Jihlava Statistics & Analysis

Sparta Praha Sparta Praha
Oct 02, 2026 - 10:00
5 1.39
3 1.21
xG Accuracy: 23%
Vysočina Jihlava Vysočina Jihlava
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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 Over 2.5 (8 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Sparta Praha Sparta Praha ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 5-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 29, 2026 · 01:50 UTC Snapshot ID: dp-11675405

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Sparta Praha win · Sparta Praha 5–3 Vysočina Jihlava
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Friendlies Clubs
  • Fixture: Sparta Praha vs Vysočina Jihlava
  • Kickoff: 2026-10-02 10:00:00
  • 1X2 (model): Home 40.5% · Draw 27.5% · Away 32.0%
  • xG (showing): Sparta Praha 1.39 — Vysočina Jihlava 1.21 (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 No (Yes 53.3% · No 46.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 53.3% · No 46.7%
  • 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: AI–Market Conflict - No Primary Bet

Outcome: Validated — Pre-match lean validated against 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 08, 2026 (UTC)

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