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K League 1 (South Korea), round 34 · Sunday, 1 November, (UTC+3) · Steelyard

Pohang Steelers — Jeju SK

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Model prediction and result

1:1Missed
Pohang Steelers42%
Draw30%
Jeju SK27%
Model estimate at (UTC+3), the last one before kick-off

In short

Final score 1:1: the model's most likely outcome, Pohang Steelers to win (42%), did not happen. That happens: an outcome at 42% fails in about 58 matches out of 100 on average.

Pohang Steelers are slightly stronger: 42% against 27%, draw 30%.

2.4 goals expected in total — close to the competition average (2.5).

Over 2.5 goals — 44%, both teams to score — 51%.

Why

  • By the strength ratings Pohang Steelers are about 0.4 goals per match stronger.

Facts

  • Jeju SK: 3 defeats in a row.
  • Last 5 meetings: Pohang Steelers 3 wins, Jeju SK 2.

Probabilities

Expected goals: Pohang Steelers — Jeju SK What is xG?1.3–1.0
Pohang Steelers not to lose73%
Jeju SK not to lose58%
No draw70%
Both teams to score: yes51%
Both teams to score: no49%
Total over 2.544%
Total under 2.556%

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  • Handicap Pohang Steelers
  • Pohang Steelers goals
  • Jeju SK goals
  • Corners and cards
  • Full score grid
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Match events

  1. 31′Negueba · Jeju SK0:1
  2. 54′Wanderson · penalty · Pohang Steelers1:1
  3. 74′Juninho · Pohang Steelers
Substitutions (8)
  1. 42′Jakob Tranziska ↔ Jorge Teixeira · Pohang Steelers
  2. 55′Byung-Wook Choi ↔ Eraldo Çinari · Jeju SK
  3. 55′Sang-Eun Shin ↔ Shin-Jin Kim · Jeju SK
  4. 69′Sung-Yueng Ki ↔ Seung-Ho Kim · Pohang Steelers
  5. 69′Han-Min Jung ↔ Jae-Joon An · Pohang Steelers
  6. 84′Bon-Seo Gu ↔ Chang-Jun Park · Jeju SK
  7. 84′Gwang-Won Kim ↔ Juninho · Pohang Steelers
  8. 84′Sung-Wook Jo ↔ Kwang-Hoon Shin · Pohang Steelers

Match statistics

Pohang SteelersJeju SK
  • 46Possession, %54
  • 13Shots10
  • 3On target3
  • 5Corners5
  • 1Yellow cards0
  • 0Red cards0

Lineups

Minutes — how long the player played, if under 90; on the right — the player’s match rating.

Pohang Steelers

  1. GKIn-Jae Hwang
  2. DFKwang-Hoon Shin84′
  3. DFChan-Yong Park
  4. DFMin-Kwang Jeon
  5. DFWanderson
  6. DFMin-Jun Kang
  7. MFDong-Jin Kim
  8. MFSeung-Ho Kim69′
  9. FWJorge Teixeira42′
  10. FWJuninho84′
  11. FWJae-Joon An69′
Came on (5)
  1. MFSung-Yueng Ki21′
  2. FWJakob Tranziska48′
  3. FWHan-Min Jung21′
  4. MFGwang-Won Kim6′
  5. Sung-Wook Jo6′

Jeju SK

  1. GKDong-Jun Kim
  2. DFTobias Figueiredo
  3. DFJae-Woo Kim
  4. DFRyun-Sung Kim
  5. DFMin-Jae Park
  6. MFSu-Bin Park
  7. MFChang-Min Lee
  8. FWNegueba
  9. FWEraldo Çinari55′
  10. FWShin-Jin Kim55′
  11. FWChang-Jun Park84′
Came on (3)
  1. MFByung-Wook Choi35′
  2. FWSang-Eun Shin35′
  3. FWBon-Seo Gu6′

Form

Pohang Steelers

  • 24.10away · Ulsan HD FC2:2
  • 18.10FC Anyang0:0
  • 09.10away · Incheon United0:3
  • 20.09FC Seoul2:1
  • 12.09away · Daejeon Hana Citizen2:2

Jeju SK

  • 24.10away · Incheon United1:3
  • 18.10away · Jeonbuk Hyundai Motors FC2:3
  • 10.10away · FC Seoul1:2
  • 20.09away · Gangwon FC1:0
  • 12.09away · Bucheon FC 19952:2

Head to head

  • 25.08.2026Jeju SK — Pohang Steelers1:2
  • 18.07.2026Jeju SK — Pohang Steelers2:1
  • 11.04.2026Pohang Steelers — Jeju SK0:2
  • 21.09.2025Pohang Steelers — Jeju SK1:0
  • 21.06.2025Pohang Steelers — Jeju SK2:1

Full record: 13 meetings →

Table

Table «Overall», season 2026
#TeamPWDLGoals+/−Pts
6, Championship roundGangwon FC341115841–32+948
7, Relegation roundJeju SK3412111140–38+247
8, Relegation roundFC Anyang3411131042–49-746
9, Relegation roundPohang Steelers3411101331–40-943
10, Relegation roundGimcheon Sangmu34520934–42-835

Season 2026

Full table

Next matches

  • Jeju SKGwangju FC7 November · K League 1
    1The model's most likely outcome: 1Model's score: 2:02.8
  • Bucheon FC 1995Pohang Steelers8 November · K League 1
    2The model's most likely outcome: 2Model's score: 1:22.3

K League 1 on the same day

  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.2.6
  • 1The most likely outcome did not happen: 1Final score 0:1. Model's score: 1:0.2.6
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 1:0.2.6

This is the model’s statistical estimate, not a recommendation. An outcome at 42% will not happen in roughly 58 matches out of 100. How to read probabilities →