Statistics / Football / World. Friendlies Clubs / GKS Katowice vs Świt Skolwin

GKS Katowice vs Świt Skolwin Statistics & Analysis

Jun 25, 2026 - 13:00
7 1.37
0 1.23
xG Accuracy: 15%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 GKS Katowice GKS Katowice ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 7-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 30, 2026 · 18:55 UTC Snapshot ID: dp-2532680

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result GKS Katowice win · GKS Katowice 7–0 Świt Skolwin
Prediction ✔ Correct
Decision Grade B-

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: GKS Katowice vs Świt Skolwin
  • Kickoff: 2026-06-25 13:00:00
  • 1X2 (model): Home 42.2% · Draw 28.9% · Away 28.9%
  • xG (showing): GKS Katowice 1.37 — Świt Skolwin 1.23 (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 No
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

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: 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 17, 2026 (UTC)

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