Superliga Match Analysis
A data-driven analysis summary 11Stat produced for Superliga (Denmark): model probabilities, team form, model agreement, data quality and risk level. 5 matches analyzed. This is data analysis, not betting advice.
This page compiles the Superliga matches 11Stat analyzed with its multi-engine probability model (Poisson/Dixon-Coles, Elo/form, Monte Carlo). Each match is assessed through 1X2 probability, xG, team form, model agreement and data quality, then summarized with a risk level. No outcome is guaranteed.
Analyzed matches
| Date | Match | Confidence | Star |
|---|---|---|---|
| 2026-08-02 | Silkeborg - FC Copenhagen | 6.4/10 | ★★★ |
| 2026-08-01 | Lyngby - Aarhus | 6/10 | ★★★ |
| 2026-07-27 | Randers FC - Silkeborg | 6.1/10 | ★★★ |
| 2026-07-26 | Sonderjyske - FC Midtjylland | 6.4/10 | ★★★ |
| 2026-07-25 | Aarhus - Brondby | 6.1/10 | ★★★ |
FAQ
How is Superliga match analysis done?
11Stat models the league's matches with independent statistical engines, combining probability, model agreement and data quality, then summarizes a risk level. No guarantees.
Does this page give betting tips?
No. It is data-driven probability analysis; not coupons or betting advice.