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South-Korea

K League 2 statistics and predictions

Season to date: 184 matches since 11 Apr 2026, last updated 22 Oct 2026.

K League 2 in numbers

184matches
2.65goals / game
38%home wins
33%draws
30%away wins
60%both teams scored
50%over 2.5 goals

Analysis

184 matches have been played in the K League 2 (South-Korea) since 11 Apr 2026, averaging 2.65 goals a game. That is lower-scoring than the average across our archive (3.06 goals a game).

Home sides won 69 (38%), 60 matches were drawn (33%) and away sides won 55 (30%). Home advantage here is weaker than usual. Both teams scored in 60% of matches, 50% went over 2.5 goals, 74% over 1.5, and 13 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as Suwon City FC (1.41), Seoul E-Land FC (1.37), Suwon Bluewings (1.36), and the meanest defences as Gyeongnam FC (0.67), Suwon Bluewings (0.73), Suwon City FC (0.75). A rating of 1.00 is an average side in this competition.

Recent and upcoming PunterPick predictions

Results table

Calculated from the final scores in our archive since 11 Apr 2026. This is not the official table — it applies no points deductions or tie-break rules, and for cup competitions it simply totals results across rounds.

#TeamPWDLGFGAGDPts
1Seoul E-Land FC22135442261644
2Suwon Bluewings21134437221543
3Suwon City FC22119242231942
4Daegu FC21116438231539
5Hwaseong22116538241439
6Gyeongnam FC217952521430
7Gimpo Citizen227962827130
8Busan I Park228593029129
9Cheongju2261062834-628
10Asan Mugunghwa226972524127
11Yongin City215972630-424
12Seongnam FC2257102230-822
13Paju Citizen2156101625-921
14Cheonan City2248102632-620
15Jeonnam Dragons214892334-1120
16Ansan Greeners2262142342-1920
17Gimhae City2228121942-2314

About these statistics

The figures above are counts over final scores (90 minutes) in the PunterPick results archive. Nothing is estimated: a match only counts once its final score is in. Team links lead to each side's own form, home and away record and the predictions we have published for them. How we build our predictions is explained on the methodology page.