Expected goals
Home xG / Away xG
Superliga - 27897
Current lifecycle fixture
Kickoff
2026-07-27 17:00:00
VS

Intelligence overview
Highest 1X2 estimate 39%. Confidence is low, so the UI avoids a strong recommendation.
Expected goals
Home xG / Away xG
Model
analysis-v1
live-local
Publication
published
Public view hides drafts
Confidence
Low confidence
Cautious estimate
AI MATCH ANALYSIS
Model gives a narrow home lean: Randers 39% / Draw 29% / Silkeborg 32%. Combined expected goals ~3.0 with 87% chance of over 1.5 and 75% probability both teams score. Confidence is low (36), and the signal relies on limited recent-match sampling.
The model classifies the fixture as a home-lean: Randers holds the highest single outcome probability at 39%, but Silkeborg’s 32% and a 29% draw probability leave no clear favourite. Confidence is low (score 36), so the predictive edge is modest.
One of the model’s key reasons flags Silkeborg IF as having a stronger recent form trend. However, the underlying data sample used for each side is small (matchesUsedHome=1, matchesUsedAway=1), which reduces the reliability of that trend signal.
Randers’s modelled home edge contributes to the 39% home-win probability. Silkeborg’s away defensive profile features prominently: the model cites Silkeborg conceding 2.6 away goals per match, which increases expected scoring overall.
The model projects expectedHomeGoals 1.6 and expectedAwayGoals 1.4 (combined ~3.0). Probabilities: over 1.5 at 87%, over 2.5 at 55%, and both teams to score at 75%. These metrics consistently point to a strong likelihood of multiple goals and scoring from both sides.
Over 1.5
Very likely — 87% probability for over 1.5 goals driven by combined expected goals of about 3.0.
Over 2.5
Moderately likely — 55% probability for over 2.5, reflecting both sides contributing to scoring.
BTTS
Likely — 75% probability that both teams score, aligning with expected goals for home (1.6) and away (1.4).
Expected goals
Randers FC: 1.6
Silkeborg IF: 1.4
Randers FC
Home edge in outcome probabilities
Randers holds the highest single outcome probability at 39%, which is the primary factor behind the home-lean classification.
Silkeborg IF
Recent-form signal
Silkeborg is identified by the model as having the stronger recent form trend, contributing to a tight overall probability distribution despite conceding more away goals.
Low predictive confidence
Model confidence score is 36 (labelled Low). Probability gaps are small: home 39% vs away 32% and draw 29%, so outcomes remain uncertain.
Very small sample for form signals
The feature set used only one recent match for each side (matchesUsedHome=1, matchesUsedAway=1), reducing reliability of trend-based signals.
Known model limitations
The system flags weaknesses: draw prediction bias in V1, variable calibration by league/season, and no profitability measurement—these affect how the probabilities should be interpreted.
Final Verdict
The model leans to a Randers win (39%) but does not identify a clear favourite—Silkeborg is close at 32% and draw probability is 29%. Expected goals total about 3.0, with high probabilities for over 1.5 (87%) and BTTS (75%). The signal strength is curtailed by low model confidence and minimal recent-match sampling; treat the home lean as tentative while the goal-related metrics are more robust within this dataset.
Confidence language: Low (score 36). This remains an analytical view, not a guaranteed selection.
Analysis Engine V1 calculates the probabilities. The AI writer explains the verified inputs and does not alter numbers, add odds, or claim certainty.
Source datasets: live-local. Generated 2026-07-13T08:20:03.220Z.
Exact model percentages, never bookmaker odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
A probability is an estimated chance from the local model context. It is not an outcome promise and is not bookmaker odds.
Market intelligence
A separate explanation layer for match markets. These signals do not change Analysis Engine V1 and are not bookmaker odds.
V1 expects 3 total goals. Local team samples average 3.08 total goals in matches involving these sides.
The winner market remains separated from goals markets, so a high goal signal does not automatically mean a strong home or away call.
Imported historical sample suggests 9.57 combined team corners per match across the current market dataset.
5.71 avg corners
3.86 avg corners
7 matches max
Imported discipline sample rates this matchup around 2.14 weighted cards. Possession averages are shown when available.
Low/Low risk labels
Avg possession
Avg possession
Risk review
Short caution signals that explain why the analysis remains measured. These do not change the V1 prediction.
Draw tendency sample
25%
Combined draw share across both team samples.
V1 draw estimate shown for transparency.
Confidence caution
Cautious
Low-confidence analysis should avoid strong wording.
Manual publication remains required.
Historical sample context
130 matches
Current-season form will appear separately after Sportmonks current-season imports are expanded.
Longer-term profile from completed local datasets: 2024/2025, 2025/2026. Current-season signals appear separately when Sportmonks match data is available.
Randers FC form
PPG 1.28 - GF 91 - GA 100
Silkeborg IF form
PPG 1.35 - GF 100 - GA 109
Home team signal
Points profile
1.28 PPG
22W 17D 26L sample
Goals for
1.4
91 scored across local sample
Goals against
1.54
100 conceded across local sample
Away team signal
Points profile
1.35 PPG
24W 16D 25L sample
Goals for
1.54
100 scored across local sample
Goals against
1.68
109 conceded across local sample
Match timeline
Goals, cards, VAR and substitutions appear only when verified Sportmonks event data exists locally.