Denmark Superliga Predictions — Model Probabilities
Model probabilities for every Denmark Superliga fixture on the live snapshot — 6 of 6 carry a full model view. Research, not instructions.
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| Match | Kickoff (UK) | Model 1X2 | Most likely score |
|---|---|---|---|
| Viborg FF v OB Odense BK | Fri 24 Jul, 18:00 | 45% / 29% / 26% | 1-1 |
| AGF Aarhus v Brondby IF | Sat 25 Jul, 17:00 | 45% / 29% / 26% | 1-1 |
| SonderjyskE v FC Midtjylland | Sun 26 Jul, 13:00 | 45% / 29% / 26% | 1-1 |
| FC Copenhagen v Lyngby | Sun 26 Jul, 15:00 | 45% / 29% / 26% | 1-1 |
| AC Horsens v FC Nordsjaelland | Sun 26 Jul, 17:00 | 45% / 29% / 26% | 1-1 |
| Randers FC v Silkeborg IF | Mon 27 Jul, 18:00 | 45% / 29% / 26% | 1-1 |
Read the full picture. Every row links to the fixture's prediction
view: expected goals, fair odds, price movement and the grounded team-news brief. The
track record grades every published call in the open.
Frequently asked questions
How are these denmark superliga predictions made?
A Dixon-Coles + ELO statistical model, trained continuously on a growing results archive, produces expected goals per team and win/draw/win probabilities for every fixture. The model is then priced against the real odds market — the market always owns the final number.
Are these betting tips?
No — they are model probabilities published as research. Probabilities carry uncertainty and no outcome is certain; judge the process on the public track record, which grades every published call against the closing line.
How do I know the model is any good?
The track record page publishes calibration (predicted vs observed frequencies), closing-line value on every call, and a held-out walk-forward backtest — process metrics first, never performance claims.
Data from the engine snapshot · updated just now · all prices are real captured bookmaker odds, timestamped.