K League 1 predictions

South Korea · top flight · 12 teams · table updated 1 Oct

Calibrated probabilities for every K League 1 match, frozen at kickoff and judged in public. Filter K League 1 in the Bet Finder.

This week's K League 1 fixtures

K League 1 table

#TeamPGDPts
1FC Seoul30+3162
2Ulsan Hyundai FC30+547
3Jeju United FC30+646
4Jeonbuk Motors30+1044
5Gangwon FC30+843
6Daejeon Citizen30+940
7Pohang Steelers30-640
8Incheon United30+339
9FC Anyang30-938
10Gimcheon Sangmu FC30-633
11Bucheon FC 199530-932
12Gwangju FC30-4215
  • Promotion - K League 1 (Championship Group)
  • K League 1 (Relegation Group)

Official K League 1 table via API-Sports · updated 2026-10-01.

This season in numbers

2.44
goals per game (180 matches)
53%
both teams scored
45%
over 2.5 goals
71%
over 1.5 goals
24%
over 3.5 goals
30%
home wins
34%
draws
36%
away wins

The model's K League 1 record

MarketTipsClaimedHitGap
Home win≥ 57%258.8%0.0%-58.8
Home or draw≥ 80%0———
Away win≥ 50%152.3%100.0%+47.7
Away or draw≥ 73%175.8%100.0%+24.2
Over 2.5≥ 57%459.9%75.0%+15.1
BTTS≥ 63%0———

Settled K League 1 matches since 23 Julwhere the model cleared each market's tip threshold. Predictions are frozen at kickoff, so nothing here was re-scored after the fact. Rows under 5 tips are greyed.

Recent K League 1 results

About K League 1

K League 1 is the top flight of South Korea football with 12 teams. The 2026 season has produced 2.44 goals per game over 180 matches: both teams scored in 53%, 45% went over 2.5 goals, and the home side won 30% with 34% drawn. FC Seoul lead the table on 62 points from 30 games.

How the model handles K League 1

Every K League 1 fixture is scored by the same calibrated model that covers 164+ competitions: home, draw and away probabilities from a result classifier, and both-teams-to-score and over/under goals from a Poisson goal model, each passed through its own calibration layer so a displayed 70% means roughly 70%. Since predictions were frozen at kickoff on 23 Jul, the model has settled 8 K League 1 tips at the strict thresholds, claiming 60.7% on average and landing 62.5%. Predictions appear up to three days before kick-off and are re-scored every morning until the match starts, then frozen for good.

Frequently asked questions

How are these K League 1 predictions made?
Each match gets probabilities from two machine-learning models trained on results since 2021: a three-way result classifier for home, draw and away, and a Poisson goal model for both-teams-to-score and over/under goals. Inputs are recent venue-specific form, Elo ratings, rest days, head-to-head history and, where the data exists, shot and expected-goals aggregates. Every output is passed through an isotonic calibration layer fitted on a held-out season, so the displayed percentages match real-world frequencies — the methodology page has the detail. Predictions are frozen at kickoff and never edited afterwards.
Where does the K League 1 table come from?
It is the official standings feed from our data provider, API-Sports, refreshed nightly. We deliberately do not compute it from results ourselves: head-to-head tiebreakers, points deductions, and split, conference or Apertura/Clausura formats are all shown exactly as the competition publishes them.
Which K League 1 market is the model most reliable in?
There are not yet enough settled K League 1 tips since 23 Jul to say. The record table on this page fills in as the season goes; until then the site-wide track record is the best guide to how each market behaves.
How far ahead are K League 1 fixtures predicted?
Up to three days before kick-off. Fixtures are imported a week ahead, each prediction is re-scored every morning as form and ratings update, and it is frozen the moment the match starts. Exact probabilities are shown to free account holders; the headline call is public. To filter K League 1 by market and probability, use the Bet Finder.

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