Denmark Superliga Predictions — Model Probabilities

Research, not instructions — the model states a probability, never a selection.
MatchKickoff (UK)Model 1X2Most likely score
Lyngby crestLyngby v Randers FCRanders FC crest Fri 30 Oct, 18:00 — —
OB Odense BK crestOB Odense BK v Silkeborg IFSilkeborg IF crest Sun 1 Nov, 13:00 — —
Viborg FF crestViborg FF v AC HorsensAC Horsens crest Sun 1 Nov, 13:00 — —
FC Nordsjaelland crestFC Nordsjaelland v FC MidtjyllandFC Midtjylland crest Sun 1 Nov, 15:00 — —
Brondby IF crestBrondby IF v AGF AarhusAGF Aarhus crest Sun 1 Nov, 17:00 — —
Sonderjyske crestSonderjyske v FC CopenhagenFC Copenhagen crest Mon 2 Nov, 18:00 — —
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.
Prices captured in the scheduled market snapshot, 26 October at 08:07 UK time. · engine slate assembled 14 h ago · this page fetched the feed just now. Every price shown is a real captured bookmaker price with its own capture time.