K League 1 predictions Live · snapshot just now

K League 1 Predictions — Model Probabilities

Model probabilities for every K League 1 fixture on the live snapshot — 9 of 9 carry a full model view. Research, not instructions.
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MatchKickoff (UK)Model 1X2Most likely score
Daejeon Citizen v Ulsan Hyundai FC Sat 18 Jul, 11:30 45% / 29% / 26% 1-1
Gangwon FC v Sangju Sangmu FC Sat 18 Jul, 11:30 45% / 29% / 26% 1-1
Incheon United v Jeonbuk Hyundai Motors Sat 18 Jul, 11:30 45% / 29% / 26% 1-1
Jeju United FC v Pohang Steelers Sat 18 Jul, 11:30 45% / 29% / 26% 1-1
Bucheon FC 1995 v FC Seoul Sun 19 Jul, 11:30 45% / 29% / 26% 1-1
FC Anyang v Gwangju FC Sun 19 Jul, 11:30 45% / 29% / 26% 1-1
Jeonbuk Hyundai Motors v Daejeon Citizen Tue 21 Jul, 11:30 45% / 29% / 26% 1-1
Jeju United FC v Gangwon FC Tue 21 Jul, 11:30 45% / 29% / 26% 1-1
Ulsan Hyundai FC v Incheon United Tue 21 Jul, 11:30 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 k league 1 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.