Sangju Sangmu FC 1–0 Incheon United: Result & Stats

Sangju Sangmu FC

FT

1 – 0

HT: 0 – 0

Incheon United

Lee Yeong-Jae 90+2'

9/18/2022

K League 1 · Round 33Gimcheon Stadium

Match Prediction

Statistical Prediction

Based on goals from last 103+ matches

Sangju Sangmu FC41%

×Draw27%

Incheon United32%

✓ Correct in 50 of 100 matches — 5 more than always backing the home side

Model

50%

Always home

44.6%

The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 50% correct across 579,794 matches, vs 44.6% for always backing the home side.

Home picks 50.2% correct · Away picks 49.2% correct

Football matches only. Past performance is not indicative of future results.

Sangju Sangmu FCExpected goals in this matchIncheon United

Expected goals in this match

What is xG?

Every shot is scored 0–1 by how likely it is to be a goal from that spot — a chance in the middle of the box ≈ 0.4, a long shot from a tight angle ≈ 0.03, a penalty ≈ 0.76. Add them up over a match and that is the xG.

The scoreline can lie: you can win 1-0 on a fluke while creating half the chances. xG shows who was really closer to scoring — and over a season it predicts results better than goals alone.

1.36

1.18

Sangju Sangmu FC

1.36

Incheon United

1.18

Sangju Sangmu FC creates 15% more chances

Season form · 103 home / 120 away

1.30

creates per match

1.18

allows per match

1.43

creates per match

Sangju Sangmu FC

1.30

Incheon United

1.18

allows per match

Sangju Sangmu FC

1.18

Incheon United

1.43

+0.00on par

finishing

+0.00on par

finishing

Sangju Sangmu FC+0.00on par

Incheon United+0.00on par

Total goals

Under53
Over47

Fewer than 3 goals likely

Both teams score

Yes51
No49

Close call

Score probability

Probability of each scoreline, %

Sangju Sangmu FC ↓

Incheon United →

0

1

2

3

4

0

0–08%

0–19%

0–25%

0–32%

0–41%

1

1–011%

1–113%

1–27%

1–33%

1–41%

2

2–07%

2–19%

2–25%

2–32%

2–41%

3

3–03%

3–14%

3–22%

3–31%

3–40%

4

4–01%

4–11%

4–21%

4–30%

4–40%

Most likely 1–1 (13%) · grid covers 98% of scorelines

More markets

Total goals

OverUnder0.5

92%8%1.5

72%28%2.5

47%53%3.5

25%75%4.5

11%89%

Double chance

Sangju Sangmu FC or draw

68%

Sangju Sangmu FC or Incheon United

73%

Draw or Incheon United

59%

Winning margin

Sangju Sangmu FC wins by 2+

19%

Incheon United wins by 2+

13%

Team goals

Sangju Sangmu FC 1+ goals

74%

Sangju Sangmu FC 2+ goals

39%

Sangju Sangmu FC 3+ goals

16%

Incheon United 1+ goals

69%

Incheon United 2+ goals

33%

Incheon United 3+ goals

12%

Draw no bet

Sangju Sangmu FC (draw refunded)

56%

Incheon United (draw refunded)

44%

Combos

Both score & 3+ goals

39%

Both score & under 3

13%

Model probabilities, not odds. For information only.

How is this calculated?

Every number below comes from this match — nothing is made up.

1

Recent form of each side

Sangju Sangmu FC at home — creates 1.30, concedes 1.18 · 103 matches

Incheon United away — creates 1.18, concedes 1.43 · 120 matches

⚑ Home and away form are counted separately — the home-field edge is already baked into these numbers.

2

Expected goals for this match

Sangju Sangmu FC attack 1.30 + Incheon United defence 1.43 → ÷2 → 1.36

Incheon United attack 1.18 + Sangju Sangmu FC defence 1.18 → ÷2 → 1.18

Each side's attack is blended with the other's defence, then averaged.

3

Chance of every scoreline

From those two numbers a Poisson distribution gives the probability of each exact score — the grid shown above.

4

The answer to "why 41%?"

Sangju Sangmu FC scores more

41%

level

27%

Incheon United scores more

32%

Sangju Sangmu FC at 41% is simply the biggest of the three — that is the pick.

What the model can't see

It reads only the stats of recent matches. It knows nothing about:

injuries & suspensions
the matchday lineup
motivation — cup, relegation, a title race
weather & pitch condition
in-game coaching decisions

So 41% does not mean "Sangju Sangmu FC will win" — it means "on the available stats, this is the most likely result."

Statistical model based on expected goals (xG). For informational purposes only.

Player of the match

31

Lee Yeong-Jae

Sangju Sangmu FC · M

9.0

Match Events

32'

Kim Dong-Min← Kang Min-Soo

46'

Ko Seung-Beom← Lee Joon-Suk

46'

Kim Han-Gil← Kwon Chang-Hoon

46'

Kim Bo-Sub← Lee Yong-Jae

58'

Park Chang-Hwan

59'

Lee Kang-Hyeon← Kim Do-Hyeok

59'

Song Si-Woo← Park Chang-Hwan

68'

Yun-seong Kang

87'

Ji-hwan Mun

87'

Yoon Seok-Joo← Mun Ji-Hwan

87'

Kang Yun-Koo← E. Aguilar

90+4'

Kim Gyeong-Min← Kim Jun-Beom

90+2'

Lee Yeong-Jae↳ Kang Yun-Sung

Possession

Shots

Pass accuracy

Statistics

SangjuIncheon

Overview

60%Possession40%

21Total Shots9

17Corners9

13Fouls12

Shots

21Total Shots9

8On Target5

5Off Target3

8Blocked1

11Inside Box6

10Outside Box3

Passing

60%Possession40%

421Total Passes287

357Accurate Passes220

85%Pass Accuracy77%

Goalkeeping

5Saves8

Discipline

13Fouls12

2Yellow Cards1

1Offsides3