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Randers FC vs Silkeborg

Superliga Superliga • Monday, July 27, 2026 • 19:00

AI Prediction

Home or Away

Odds @4.75 • Stake 1u

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AI Confidence74%
Risk LevelMedium Risk
Kickoff19:00
Market Odds@4.75
PuntVault AI Summary

Match Overview

Silkeborg are priced as the stronger side, but the main angle is goals. With a 68.27% over 2.5 probability, 74.68% BTTS rate and strong Silkeborg attacking output, Over 2.5 offers solid value at 1.78.

Match Statistical Context

Randers FC vs Silkeborg Pre-Match Data

Team-strength ratings give Randers FC an overall score of 68 compared with 69 for Silkeborg. The attacking ratings are 71 and 73, while form ratings stand at 68 and 69. This gives Silkeborg the model-rating edge. PuntVault's pre-match model projects expected goals of 1.62 for Randers FC and 1.45 for Silkeborg, producing a combined goal expectation of 3.07. The model also rates over 2.5 goals at 68.73% and both teams to score at 75.03%.

Confidence

74%Medium Confidence

Risk Level

Medium RiskBankroll discipline required

AI Score

7.10Vault AI rating

Predicted Score

1.62 - 1.45Randers FC vs Silkeborg
AI Model

Probability Breakdown

Vault AI probability ratings for match outcome and goal markets.

Home WinRanders FC
35.91%
DrawMatch draw
28.00%
Away WinSilkeborg
36.09%
Over 2.5 GoalsGoal market
68.73%
BTTSBoth teams to score
75.03%
Market Value

Value Analysis

Implied Probability21.05%
Model Probability%
Value Edge52.95%
Value RatingELITE
AI Intelligence

Match Insight

PuntVault AI analysed team strength, ELO rating, last-five team form, goal trends, market probabilities and last-five head-to-head history. In the last 5 available meetings, Randers FC recorded 1 win(s), Silkeborg recorded 3 win(s), and 1 match(es) ended level. Those meetings averaged 2.00 goals, with BTTS landing in 20.00% and over 2.5 goals landing in 40.00%. Randers FC win probability is 35.91%, draw probability is 28.00%, and Silkeborg win probability is 36.09%. Expected goals: Randers FC 1.62, Silkeborg 1.45. Recent form: Randers FC DWDDL (6 pts), Silkeborg WWLLL (6 pts).

Model Version: Vault AI Model v3
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