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K League 1

K League 1

Corea del Sud  · Season 2026
50.00%
1X2 accuracy · 10 predictions (3 months)
Matchday 20 of 22 91%
🏆
Champion 2026
FC Seoul
Mathematically confirmed champion · 42 pts

League Table

12 Teams
# Team P W D L GF–GA GD Pts Form
1 FC Seoul — Champion 20 13 3 4 35–17 +18 42
S V V P V
2 Jeonbuk Motors — AFC Champions League Elite 20 9 6 5 27–16 +11 33
V P S V S
3 Gangwon FC — Playoff 19 8 8 3 24–12 +12 32
S P V P V
4 Ulsan Hyundai FC — Playoff 20 9 4 7 30–29 +1 31
V S P S P
5 Incheon United — Playoff 20 8 4 8 25–21 +4 28
P V V S S
6 Pohang Steelers — Playoff 20 8 4 8 20–21 -1 28
S S S V V
7 FC Anyang — Relegation Playoff 19 6 9 4 26–22 +4 27
V V P V S
8 Jeju United FC — Relegation Playoff 20 7 6 7 19–20 -1 27
V P V P P
9 Daejeon Citizen — Relegation Playoff 20 4 8 8 23–23 +0 20
S P P P P
10 Gimcheon Sangmu FC — Relegation Playoff 20 3 11 6 21–28 -7 20
V P S P P
11 Bucheon FC 1995 — Relegation Playoff 20 4 8 8 18–25 -7 20
P S S P P
12 Gwangju FC — Relegation Playoff 20 1 7 12 11–45 -34 10
S P P S P
1 FC Seoul — Champion 10 5 2 3 16–8 +8 17
P V P V S
2 Gangwon FC — AFC Champions League Elite 9 4 4 1 14–6 +8 16
S P V V V
3 Jeonbuk Motors — Playoff 9 5 1 3 16–10 +6 16
V V V S P
4 Incheon United — Playoff 11 4 1 6 12–12 +0 13
S V S V P
5 Ulsan Hyundai FC — Playoff 10 4 1 5 15–17 -2 13
S V V S S
6 Jeju United FC — Playoff 11 3 4 4 9–12 -3 13
V S P V P
7 FC Anyang — Relegation Playoff 10 2 5 3 12–13 -1 11
P P S P V
8 Pohang Steelers — Relegation Playoff 9 3 2 4 4–7 -3 11
V S S V S
9 Gimcheon Sangmu FC — Relegation Playoff 10 1 6 3 10–16 -6 9
S S P P V
10 Bucheon FC 1995 — Relegation Playoff 10 1 4 5 9–14 -5 7
S P V S S
11 Gwangju FC — Relegation Playoff 11 1 4 6 8–21 -13 7
S P S P S
12 Daejeon Citizen — Relegation Playoff 10 0 5 5 7–14 -7 5
P S S P P
1 FC Seoul — Champion 10 8 1 1 19–9 +10 25
V S V V V
2 FC Anyang — AFC Champions League Elite 10 5 4 1 16–10 +6 19
V P V V V
3 Ulsan Hyundai FC — Playoff 10 5 3 2 15–12 +3 18
V S P P V
4 Jeonbuk Motors — Playoff 11 4 5 2 11–6 +5 17
P P V S V
5 Pohang Steelers — Playoff 11 5 2 4 16–14 +2 17
S V V S S
6 Gangwon FC — Playoff 11 4 4 3 11–8 +3 16
P V P P S
7 Daejeon Citizen — Relegation Playoff 10 4 3 3 16–9 +7 15
V S P P S
8 Incheon United — Relegation Playoff 9 4 3 2 13–9 +4 15
V P V S V
9 Jeju United FC — Relegation Playoff 9 4 2 3 10–8 +2 14
S V S P V
10 Bucheon FC 1995 — Relegation Playoff 10 3 4 3 9–11 -2 13
V S P P P
11 Gimcheon Sangmu FC — Relegation Playoff 10 2 5 3 11–12 -1 11
V P S S P
12 Gwangju FC — Relegation Playoff 9 0 3 6 3–24 -21 3
S S S S P
Champion AFC Champions League Elite Playoff Relegation Playoff

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 29 Jul 2026
Champion AFC Champions League Elite Playoff Relegation Playoff
# Team Zone probability Projected Pts Schedule Trend
1 FC Seoul
65 (49–81)
pos. ~1.1°
C6 · T7
ELO 1500
▼1%
2 Jeonbuk Motors
54 (38–69)
pos. ~3.2°
C7 · T6
ELO 1502
·
3 Gangwon FC
55 (38–69)
pos. ~3.0°
C7 · T6
ELO 1502
▲0%
4 Ulsan Hyundai FC
48 (33–65)
pos. ~5.5°
C7 · T6
ELO 1504
▼17%
5 Incheon United
50 (32–64)
pos. ~5.0°
C6 · T7
ELO 1500
▲3%
6 Pohang Steelers
47 (30–65)
pos. ~6.1°
C7 · T6
ELO 1499
▲12%
7 FC Anyang
47 (30–62)
pos. ~5.8°
C6 · T7
ELO 1499
▲11%
8 Jeju United FC
44 (29–61)
pos. ~6.9°
C6 · T7
ELO 1507
▼14%
9 Daejeon Citizen
35 (20–53)
pos. ~9.8°
C7 · T6
ELO 1498
▲1%
10 Gimcheon Sangmu FC
33 (20–49)
pos. ~10.2°
C6 · T7
ELO 1507
▲0%
11 Bucheon FC 1995
36 (22–55)
pos. ~9.5°
C7 · T6
ELO 1498
▲0%
12 Gwangju FC
18 (10–35)
pos. ~12.0°
C6 · T7
ELO 1506
·
% = probability of reaching that zone or better. Each sparkline shows the trend of the most relevant probability for each team over the last 12 daily simulations.

Player statistics

⚽ Top scorers
1 S. Mugoša
S. Mugoša
Incheon United
7
2 M. Ferrier
M. Ferrier
Incheon United
4
3 Yago Cariello
Yago Cariello
Ulsan Hyundai FC
4
4 Lee Ho-Jae
Lee Ho-Jae
Pohang Steelers
4
5 Go Jae-Hyeon
Go Jae-Hyeon
Gimcheon Sangmu FC
3
6 Lee Seung-Woo
Lee Seung-Woo
Jeonbuk Motors
3
7 Lee Dong-Gyeong
Lee Dong-Gyeong
Ulsan Hyundai FC
3
8 Lee Seung-Mo
Lee Seung-Mo
FC Seoul
3
9 Airton
Airton
FC Anyang
3
10 A. Halaihal
A. Halaihal
Gangwon FC
3
👟 Assists
1 Kim Dae-Won
Kim Dae-Won
Gangwon FC
3
2 Go Jae-Hyeon
Go Jae-Hyeon
Gimcheon Sangmu FC
2
3 Lee Seung-Woo
Lee Seung-Woo
Jeonbuk Motors
2
4 Lee Dong-Gyeong
Lee Dong-Gyeong
Ulsan Hyundai FC
2
5 J. Tranziska
J. Tranziska
Pohang Steelers
2
6 Matheus Oliveira
Matheus Oliveira
FC Anyang
2
7 Bruno Mota
Bruno Mota
Jeonbuk Motors
2
8 Kim Moon-Hwan
Kim Moon-Hwan
Daejeon Citizen
2
9 Lee Gyu-Sung
Lee Gyu-Sung
Ulsan Hyundai FC
2
10 Emerson Negueba
Emerson Negueba
Jeju United FC
2
🟨 Yellow cards
1 P. Klimala
P. Klimala
FC Seoul
6
2 Kwon Kyung-Won
Kwon Kyung-Won
FC Anyang
6
3 Cho Wi-Je
Cho Wi-Je
Jeonbuk Motors
6
4 Song Jun-Seok
Song Jun-Seok
Gangwon FC
5
5 Lee Kun-Hee
Lee Kun-Hee
Gimcheon Sangmu FC
5
6 An Tae-Hyun
An Tae-Hyun
Bucheon FC 1995
5
7 Lee Seung-Woo
Lee Seung-Woo
Jeonbuk Motors
5
8 Juan Fernández
Juan Fernández
Incheon United
5
9 Kwon Sung-Yun
Kwon Sung-Yun
Gwangju FC
5
10 Lee You-Hyeon
Lee You-Hyeon
Gangwon FC
5
🟥 Red cards
1 Song Jun-Seok
Song Jun-Seok
Gangwon FC
1
2 Kim Jung-Hyun
Kim Jung-Hyun
FC Anyang
1
3 Lee Chang-Yong
Lee Chang-Yong
FC Anyang
1
4 Park Chan-Yong
Park Chan-Yong
Pohang Steelers
1
5 Yazan Al Arab
Yazan Al Arab
FC Seoul
1
6 Jeon Min-Gwang
Jeon Min-Gwang
Pohang Steelers
1
7 Lee Sang-Heon
Lee Sang-Heon
Gimcheon Sangmu FC
1
8 Emerson Negueba
Emerson Negueba
Jeju United FC
1
9 Diogo de Oliveira
Diogo de Oliveira
Daejeon Citizen
1
10 Italo Moreira
Italo Moreira
Jeju United FC
1

Model & advanced data

Model calibration for this league
Probability band Sample Expected (mid) Actual Δ
50–60%% 5 55.00% 60.0% +5.00%
60–70%% 3 65.00% 33.3% -31.70%
70–100%% 3 85.00% 66.7% -18.30%
Based on 11 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for K League 1?
For K League 1, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for K League 1?
Accuracy for K League 1 is tracked match by match and shown on this page. The model is calibrated specifically for K League 1 using per-league historical data.
How are K League 1 season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.