Predictions / Football / Denmark. Superliga / Viborg vs Silkeborg

Prediction Audit: Viborg vs Silkeborg Prediction, Odds & AI Betting Tips

Feb 24, 2025 - 18:00
1 0.81
4 2.98
xG Accuracy: 72%

Tracked markets vs full-time result

Prediction grade —

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 — Over 2.5 (5 goals) — N/A
  • Both Teams To Score — Yes — N/A
  • 1X2 — Silkeborg — N/A
  • Correct Score Insights — 1-4 — N/A

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.79) — 5 goals materialised
  • Silkeborg attacking xG significantly stronger (2.98 vs 0.81)
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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Before kickoff Forecast generated
    • xG · Viborg 0.81 — Silkeborg 2.98
  2. Feb 24, 2025 · 18:00 UTC Kickoff
  3. FT Full-time result Silkeborg win · 1–4
  4. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome —
Pre-match metrics (historical context)
Prediction Reliability 45/100 · Moderate
  • Validation: Pending
  • High xG deviation from league baseline (121%+)
Evidence ★★★★★
  • Strong model lean
  • Market has already priced much of the edge
  • Validation pending
Market Compatibility 100/100
Betting Confidence 47/100

Validation Report

Prediction Time: Frozen pre-match snapshot

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Silkeborg win · Viborg 1–4 Silkeborg
Prediction —
Decision Grade —

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

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