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K League 1

K League 1

Corea del Sud  · Season 2026
52.40%
1X2 accuracy · 21 predictions (3 months)
Matchday 29 of 22 132%
🏆
Champion 2026
FC Seoul
Mathematically confirmed champion · 62 pts

League Table

12 Teams
# Team P W D L GF–GA GD Pts Form
1 FC Seoul — Champion 29 19 5 5 55–23 +32 62
V S V V V
2 Ulsan Hyundai FC — AFC Champions League Elite 29 14 5 10 44–38 +6 47
V V P V S
3 Jeonbuk Motors — Playoff 29 11 10 8 36–26 +10 43
S P V P P
4 Jeju United FC — Playoff 29 11 10 8 34–29 +5 43
P V P V S
5 Gangwon FC — Playoff 28 10 12 6 36–27 +9 42
P P V P P
6 Daejeon Citizen — Playoff 29 10 9 10 45–36 +9 39
P V V S V
7 Incheon United — Relegation Playoff 28 10 7 11 35–32 +3 37
S V S P S
8 Pohang Steelers — Relegation Playoff 29 10 7 12 26–33 -7 37
P P S P V
9 FC Anyang — Relegation Playoff 29 8 11 10 36–46 -10 35
P S S P V
10 Bucheon FC 1995 — Relegation Playoff 29 7 11 11 31–38 -7 32
P S S P S
11 Gimcheon Sangmu FC — Relegation Playoff 29 4 18 7 28–36 -8 30
P P P S P
12 Gwangju FC — Relegation Playoff 29 1 11 17 19–61 -42 14
P S P S P
1 FC Seoul — Champion 13 8 2 3 22–10 +12 26
V S V V V
2 Ulsan Hyundai FC — AFC Champions League Elite 15 8 1 6 26–23 +3 25
V S V V V
3 Jeonbuk Motors — Playoff 14 7 2 5 21–15 +6 23
P S V V S
4 Jeju United FC — Playoff 17 5 7 5 18–18 +0 22
V P S V P
5 Gangwon FC — Playoff 13 4 7 2 17–12 +5 19
V S P P P
6 Incheon United — Playoff 14 5 3 6 16–15 +1 18
V P P P V
7 Daejeon Citizen — Relegation Playoff 15 4 6 5 19–19 +0 18
V V V V P
8 Bucheon FC 1995 — Relegation Playoff 16 3 7 6 18–24 -6 16
V V P S P
9 FC Anyang — Relegation Playoff 14 3 5 6 15–26 -11 14
V S S V S
10 Gimcheon Sangmu FC — Relegation Playoff 14 1 10 3 14–20 -6 13
V P P P P
11 Pohang Steelers — Relegation Playoff 12 3 3 6 4–10 -6 12
V S S S P
12 Gwangju FC — Relegation Playoff 16 1 5 10 12–31 -19 8
S S S S P
1 FC Seoul — Champion 16 11 3 2 33–13 +20 36
P V V S V
2 Pohang Steelers — AFC Champions League Elite 17 7 4 6 22–23 -1 25
S V P S P
3 Gangwon FC — Playoff 15 6 5 4 19–15 +4 23
S V S V P
4 Ulsan Hyundai FC — Playoff 14 6 4 4 18–15 +3 22
V V S S P
5 Daejeon Citizen — Playoff 14 6 3 5 26–17 +9 21
S V S S V
6 Jeju United FC — Playoff 12 6 3 3 16–11 +5 21
P V V V P
7 FC Anyang — Relegation Playoff 15 5 6 4 21–20 +1 21
S S P S P
8 Jeonbuk Motors — Relegation Playoff 15 4 8 3 15–11 +4 20
V S P P P
9 Incheon United — Relegation Playoff 14 5 4 5 19–17 +2 19
P V S S S
10 Gimcheon Sangmu FC — Relegation Playoff 15 3 8 4 14–16 -2 17
V P P S P
11 Bucheon FC 1995 — Relegation Playoff 13 4 4 5 13–14 -1 16
P P V S S
12 Gwangju FC — Relegation Playoff 13 0 6 7 7–30 -23 6
P S P P P
Champion AFC Champions League Elite Playoff Relegation Playoff

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 15 Sep 2026
Champion AFC Champions League Elite Playoff Relegation Playoff
Team Zone probability Projected Pts Schedule Trend
FC Seoul
71 (63–74)
pos. ~1.0°
C3 · T1
ELO 1500
·
Ulsan Hyundai FC
55 (47–59)
pos. ~2.2°
C2 · T2
ELO 1466
▲1%
Jeonbuk Motors
49 (43–55)
pos. ~4.1°
C2 · T2
ELO 1478
▼0%
Jeju United FC
48 (43–55)
pos. ~4.7°
C0 · T4
ELO 1530
·
Gangwon FC
49 (42–57)
pos. ~4.3°
C4 · T1
ELO 1519
▼0%
Daejeon Citizen
47 (39–51)
pos. ~5.5°
C2 · T2
ELO 1481
▼0%
Incheon United
44 (37–52)
pos. ~6.8°
C3 · T2
ELO 1509
▼0%
Pohang Steelers
41 (37–49)
pos. ~8.1°
C2 · T2
ELO 1521
▲0%
FC Anyang
39 (35–47)
pos. ~9.2°
C2 · T2
ELO 1503
▲0%
Bucheon FC 1995
37 (32–44)
pos. ~9.6°
C2 · T2
ELO 1480
·
Gimcheon Sangmu FC
35 (30–42)
pos. ~10.5°
C2 · T2
ELO 1512
·
Gwangju FC
16 (14–26)
pos. ~12.0°
C1 · T3
ELO 1509
·
% = 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 Yago Cariello
Yago Cariello
Ulsan Hyundai FC
6
3 Lee Seung-Woo
Lee Seung-Woo
Jeonbuk Motors
4
4 Go Jae-Hyeon
Go Jae-Hyeon
Gimcheon Sangmu FC
4
5 Jeong Jae-Hee
Jeong Jae-Hee
Daejeon Citizen
4
6 M. Ferrier
M. Ferrier
Incheon United
4
7 Airton
Airton
FC Anyang
4
8 Lee Ho-Jae
Lee Ho-Jae
Pohang Steelers
4
9 Lee Dong-Gyeong
Lee Dong-Gyeong
Ulsan Hyundai FC
3
10 Mo Jae-Hyeon
Mo Jae-Hyeon
Gangwon FC
3
👟 Assists
1 Lee Seung-Woo
Lee Seung-Woo
Jeonbuk Motors
3
2 Go Jae-Hyeon
Go Jae-Hyeon
Gimcheon Sangmu FC
3
3 Lee Dong-Gyeong
Lee Dong-Gyeong
Ulsan Hyundai FC
3
4 Kim Dae-Won
Kim Dae-Won
Gangwon FC
3
5 Mo Jae-Hyeon
Mo Jae-Hyeon
Gangwon FC
2
6 M. Ishida
M. Ishida
Daejeon Citizen
2
7 J. Tranziska
J. Tranziska
Pohang Steelers
2
8 Diogo de Oliveira
Diogo de Oliveira
Daejeon Citizen
2
9 Lee Dong-Jun
Lee Dong-Jun
Jeonbuk Motors
2
10 Matheus Oliveira
Matheus Oliveira
FC Anyang
2
🟨 Yellow cards
1 Lee Seung-Woo
Lee Seung-Woo
Jeonbuk Motors
7
2 Lee Jung-Taek
Lee Jung-Taek
Gimcheon Sangmu FC
7
3 Kwon Sung-Yun
Kwon Sung-Yun
Gwangju FC
7
4 P. Klimala
P. Klimala
FC Seoul
7
5 J. Célestine
J. Célestine
Jeju United FC
7
6 Cho Wi-Je
Cho Wi-Je
Jeonbuk Motors
7
7 M. Tuci
M. Tuci
Gangwon FC
7
8 Juan Fernández
Juan Fernández
Incheon United
6
9 Kim Young-Bin
Kim Young-Bin
Jeonbuk Motors
6
10 Kwon Kyung-Won
Kwon Kyung-Won
FC Anyang
6
🟥 Red cards
1 Kim Jung-Hyun
Kim Jung-Hyun
FC Anyang
1
2 Yazan Al Arab
Yazan Al Arab
FC Seoul
1
3 Lee Chang-Yong
Lee Chang-Yong
FC Anyang
1
4 Song Jun-Seok
Song Jun-Seok
Gangwon FC
1
5 Emerson Negueba
Emerson Negueba
Jeju United FC
1
6 Seo Min-Woo
Seo Min-Woo
Gangwon FC
1
7 Park Chan-Yong
Park Chan-Yong
Pohang Steelers
1
8 Yago Cariello
Yago Cariello
Ulsan Hyundai FC
1
9 Jeon Min-Gwang
Jeon Min-Gwang
Pohang Steelers
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%% 9 55.00% 66.7% +11.70%
60–70%% 13 65.00% 30.8% -34.20%
70–100%% 8 85.00% 75.0% -10.00%
Based on 30 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.