WHAT THE DATA SAYS · 05

The risk they never bought,
the chances they never got

Jeju SK absorb organised attacks better than anyone in K League 1. They also create almost nothing themselves. Twenty-one of their 27 matches were decided by one goal or none — and that was not an accident, it was a choice.

K League 1 2026 · rounds 1–27Han Hyuck-jin9 Sep 2026 Source · K League Data Portal

WHAT THIS PIECE SAYS

  1. Jeju concede from opponents’ slow build at 0.44× the expected rate — best in the league. Only fast breaks get through (42% of goals conceded).
  2. Those breaks do not start with a long ball. Of the 11 goals conceded on the counter, the goalkeeper originated zero.
  3. They start with a short forward pass in the defensive third. That single cell is 12 points worse than opponents; nowhere else is.
  4. Adjust for location and player differences remain. One man is cleared of a charge; four are not.
  5. Going long is free. It also yields 0.061 shots per phase. That is what nine draws cost.

00How narrow the season was

What this team’s matches actually look like

Twenty-one of Jeju SK’s 27 matches were decided by one goal or none. Nine draws, twelve one-goal games. Only six were settled by two goals or more.

The nine draws read 0-0 four times, 1-1 four times, 3-3 once. Eight of them finished with two goals or fewer on the board.

How close the 27 matches were9Draws12One goal6Two goals or more21 matches decided by one goal or none9 clean sheets · 7 blanks
39 points, fifth in the league. 31 scored, 27 conceded. Expected goals: Jeju 29.60, opponents 29.92 — the two sides are, on the numbers, level.

None of that is chance. The narrowness is chosen. This piece works out what the choice costs.

01Jeju are the exact inverse of Jeonbuk

Same rounds, same portal, same coordinate frame

Episode 04 covered Jeonbuk Hyundai. The datasets line up exactly, so the two can be laid on top of each other.

Jeju vs Jeonbuk — same 27 rounds, opposite directions■ Jeju■ JeonbukPasses per match324.8434.8Pass share (%)45.856.7PPDA6.55.3Passes per phase4.716.32Phase duration (s)2532.5Recovery → first shot (s)33.640.1
Jeju hold the ball less, press more softly, and move it short and fast. Run episode 04’s exposure normalisation (defensive actions per 100 opponent passes) on Jeju and they fall from 6th to 11th — 16% fewer defensive actions than their opponents at the same exposure. Jeonbuk made 28% more.

02And yet they concede an average number

Why is a low-possession, low-press side 9th for goals against?

Eleventh for passes. A PPDA of 6.5. Eleventh for exposure-normalised defensive volume. How many goals should a side with all three concede? Twenty-seven in 27 matches — ninth in the league. Average. With nine clean sheets.

The raw defensive counts do not explain it. Interceptions 5th, blocks 6th, tackles 7th — nothing that dominates the league. This is not a side that defends by covering ground.

So what holds their goals-against at the league average? The answer is not how much they defend but what they defend.

03They absorb slow build better than anyone

And only the counter gets through

Opponent attacks were split by phase type: fast break (three passes or fewer and 15 seconds or less), slow build (eight passes or more), everything else middle.

Goals conceded vs xG, by the type of attack faced1.00 = conceded exactly as expected1.00Fast break1.88×Conceded 11 · xG 5.84Middle0.93×Conceded 8 · xG 8.61Slow build0.44×Conceded 7 · xG 15.80
When opponents take their time, Jeju give up less than half of what the chances were worth. They allowed 140 shots and 15.80 xG from slow build and conceded seven. This is not a side that stops attacks early — it is a side that holds out late, and it does that as well as anyone in the league.

Deny them time and they break. So how does an opponent come to have no time?
There is only one way — Jeju have to give the ball away.

04Which is where I got it wrong

One definition, and the whole conclusion moves

Here is what the first draft of this piece concluded, verbatim.

Of the 653 times Jeju lost the ball in their own last third, 33 became an opponent shot within 20 seconds. A 5.1% conversion — five times the rate of any other zone. Both sides make the same mistake; only Jeju are punished for it.

A tidy story. It was also wrong.

The problem was the definition of “losing the ball”. I had counted failed passes plus lost ground duels plus lost aerial duels. Losing a header in your own box as a cross comes in is not losing the ball — the opponent already had it. That is a defensive failure, not a turnover, and counting it as one turns the finding into a tautology: “they lost a duel just before conceding, therefore they conceded.”

Splitting Jeju’s 129 duel losses in their own last third by who held the ball in the previous three events: 118 of them (91%) were never turnovers at all — and five of the seven goals hung on those 118.

“Are losses in your own last third dangerous?” — change the definition, change the answerShare that became an opponent shot within 20s5.1%4.4%Duel losses counted as turnovers (first draft)JejuOpponents1.7%1.7%+ ground duels while in possessionJejuOpponents1.5%1.7%Failed passes only (final)JejuOpponentsIn 118 of 129 duel losses the opponent already had the ball — that is a defensive failure, not a turnover.
The factor of five disappears. It is 1.5% against 0.8%. So does the asymmetry — 524 losses and two goals against 469 and none. Jeju are not a side that loses the ball dangerously in its own half.
This chapter stays in because a single definition moving an entire conclusion is the lesson this series keeps relearning. The coordinate frame was re-checked separately — Jeju’s goals average X 90.7, opponents’ 87.8, both sides’ goalkeeper passes average X 11.0 and 11.9. Restore the original definition and the first draft’s 653·33·7 and 566·25·1 reproduce exactly. The arithmetic was right; the definition was not.

05The obvious suspect

And the most clearly innocent

Delete the wrong answer and the question reopens. Where do those 11 counter goals come from?

The first suspect was the goalkeeper. 432 of Kim Dong-jun’s 811 passes (53.3%) travel more than 30 metres. 45.1% of them arrive. And of Jeju’s 653 losses in their own last third, 221 — 34% — came off his boot.

On the numbers alone he looks guilty. But those numbers mean nothing without something to compare them to. Is 45% high or low?

So I built a league benchmark. The Jeju, Jeonbuk and Ulsan datasets each contain both teams’ events; deduplicated by match id they merge into 73 matches, 105,271 events, 4,343 goalkeeper passes.

K League 1 keepers — how often they go long vs how often it lands20%30%40%50%20%40%60%League avg 48.5%League avg 39.4%BucheonGangwon Park Cheong-hyoDaejeon Lee Chang-geunJeju Kim Dong-junPohangGwangjuGimcheon Baek Jong-beomAnyang Kim Jeong-hunJeonbuk Song Bum-keunSeoulHorizontal — share of passes over 30mVertical — completion rate of those passesTop right is better — goes long often and finds the target. Kim Dong-jun is 4th of 11 on both axes.
Jeju · Kim Dong-junJeonbuk · Song Bum-keunOther clubs
45.1% is on the high side. Fourth of 11, and 5.7 points above the league mean of 39.4%. He also goes long more often than average — 53.3% against 48.5%, also fourth. He goes long a lot, and he is good at it. Sample caution: Jeju, Ulsan and Jeonbuk have 27 matches each, the rest six to nine.
Kim Dong-jun’s passing — the moment it passes 40mBar height = completion rate · bar width = share of all his passes99.1%0~20m22198.7%20~30m15890.3%30~40m9342.5%40~50m8029.7%50m+25940mEverything up to 40m lands above 90%. Past it, one in three — exactly the league average.
Split by distance it gets clearer. There is a cliff at 40 metres. Up to it he completes more than 90%. Past it he falls to 32.7% — and 32.7% is the league average (33.3%) exactly. A pass beyond 40 metres is a coin toss for every keeper in this league.
34% and 45.1% are different numbers. 45.1% is his completion rate on passes over 30 metres (fourth in the league). 34% is his share of Jeju’s 653 losses in their own last third (221 of them). And that 34% counts occurrences, not damage.
653 losses in their own last third — who lost it, and what it costGK 40m+209Conceded 0GK under 40m12Conceded 0Outfield players432Conceded 7It reproduces across all four settings (20/30/45s windows × strict and lenient) — the keeper never concedes.
The 221 losses charged to the goalkeeper produced zero goals. A ball that fails beyond 40 metres drops to an opponent in midfield facing his own goal, with Jeju already set. Not guilty.

06So where does the counter begin?

Measure rates, not outcomes, and the place is identifiable

Each of the 11 conceded counters was traced backwards to the last thing Jeju did before possession changed hands.

TriggerOf 46 counters that produced a shotOf 11 that produced a goal
Short forward pass under 15m, failed104
Clearance91
Duel or dribble lost72
Defensive miscontrol42
Pass of 15–30m, failed40
Pass over 30m, failed10
Goalkeeper10
Other or unattributed102

The goalkeeper originates none of the 11. Nor does any pass over 30 metres. The trigger is the moment they try to knit it forward in their own half.

But where exactly, and why? Eleven goals will not support a verdict on any one zone. So this was measured as a rate rather than an outcome — every short pass Jeju attempted, 5,298 of them (opponents 6,728).

6-1 · The flaw sits in exactly one cell

Short-pass failure rate — third × direction, Jeju and opponentsThe longer the bar, the more often it is cut offForward passesDefensive30.0%17.9%JejuOpponents+12.1pMiddle24.5%20.1%JejuOpponents+4.4pFinal26.9%31.4%JejuOpponents-4.5pSideways · backwardDefensive6.9%5.6%JejuOpponents+1.3pMiddle7.4%6.3%JejuOpponents+1.1pFinal18.2%20.7%JejuOpponents-2.5p
JejuOpponents
In the final third Jeju are better than their opponents. The middle third is level. Sideways and backward passes are within a point everywhere. The gap lives in one cell — short forward passes in the defensive third, 12.1 points. This is not a side that cannot pass. It is a side that cannot open the route forward out of its own end.

6-2 · Put that cell on the pitch

Short forward passes in Jeju’s own half — where they get cut offLarge number = Jeju failure rate · in brackets = opponents in the same cell56.8%(21.6%)n=3730.8%(17.5%)n=785.6%(0.0%)n=1810.7%(16.3%)n=5651.9%(24.2%)n=2729.0%(19.0%)n=107LeftCentreRightBox zone X 0–17X 17–33Jeju attack this way
Through the middle they are better than their opponents. The trouble is on both flanks. In the box zone (X 0–17) a forward pass down either touchline fails more than half the time — 56.8% left, 51.9% right, against 22–24% for opponents in the same squares. In the narrow triangle where the touchline meets the goal line, Jeju’s build-up stops.

6-3 · Which closes the goalkeeper’s story

Chapter 05 noted that Kim Dong-jun plays 379 passes under 30 metres and completes 98.9% of them. Each of those 379 was followed for five events to see what became of it.

What happens to the keeper’s short pass within the next five eventsJeju 379 · opposing keepers 468 — where the short ball ends up34%25%22%19%JejuSimply lost 33.5%Ends up long anyway 46.2%24%19%28%28%OpponentsSimply lost 24.4%Ends up long anyway 46.8%Possession lostLong ball failedLong ball (completed)No resolution
Playing out short is not an escape for this team. Eight times in ten the short route fails — three are simply lost, five end up long anyway, three seconds later and from a worse position. And the split is precise. The share that ends up long is the same for both sides (46.2% against 46.8%). Only one thing differs — Jeju simply lose it 33.5% of the time against the opponents’ 24.4%.

This is why he kicks half of them long. The short ball does not come back. Chapter 05 acquitted him because his long passes do not lead to goals. Here is the second half of it — when he does play short, his team cannot hold it.

6-4 · Player or place — a verdict

All of the above is about location. Does the man standing there matter at all?

The split was done by indirect standardisation. The pitch is divided into 18 cells (three thirds × three channels × two directions), and for each player the question is “how many passes should he have lost, if his mix of positions and directions had been played at the team’s average rate?” The reference rate excludes the player himself, so nobody sets his own benchmark. Actual failures divided by that expectation is O/E.

What survives the location adjustment — failure O/E by playerExpectation matched across 18 cells (third × channel × direction), then actual ÷ expected failures1.00what location explains0.52.03.0NeguebaMF2.94219Kwon Chang-hoonMF1.74115Park Chang-junMF1.62126ItaloMF1.38234Jang Min-gyuMF1.27250Yoo In-sooDF1.07213Kim Jun-haMF1.05121Nam Tae-heeFW0.98207Kim Ryun-seongDF0.89329Lim Chang-wooDF0.8691Kwon Ki-minDF0.83149Kim Gun-woongDF0.7688Oh Jae-hyukMF0.72304Lee Chang-minMF0.7181Kim Jae-wooDF0.65142TobiasDF0.52172CelestinDF0.38342Grey = explained by location. Only the four in colour are not.
More failures than expected ↑Fewer than expected ↓Explained by location
Horizontal bars are 95% confidence intervals. Heterogeneity test — total χ² 110.56 (df 16) · between positions 34.65 (df 2) · within positions 75.91 (df 14), all p<0.0001. 69% of the remaining heterogeneity sits inside position groups.

The answer: location first, but the player survives it. Three things are settled.

One — Kim Ryun-seong is cleared. His raw failure rate in his own half was 15.4%, among the highest in the squad. But he takes most of his forward passes from the deep left corner, the hardest square on the pitch for this team. Adjust for it and he sits at O/E 0.89 (0.65–1.21) — exactly where he should be.

Two — Celestin and Tobias are genuinely good at it. 0.38 and 0.52. From the same squares they lose it at less than half the team rate. Celestin’s upper bound is 0.59 across 342 attempts.

Three — Negueba’s 2.94 needs an explanation. 219 attempts in the build-up zone, 16 expected failures, 47 actual. Neither location nor position accounts for it.

One variable is not controlled — the difficulty of the pass attempted. Within the same cell, a safe ball sideways and a pass that breaks a line are different acts, and coordinates plus direction cannot tell them apart. Negueba takes 26% of this team’s shots on his own. He is also the player most likely to attempt the risky pass.

So the accurate way to put it is this — Negueba’s losses in the build-up zone are not explained by where he stands or what position he plays. Whether that is technique or the risk he accepts cannot be settled without measuring pass difficulty.

In episode 04 I found, late, that a finishing failure I had pinned on players was in fact attached to a phase. This time it runs the other way. Adjust for location and one man walks free, four do not.

07The risk they never bought

Does the avoidance come free?

The same phase split, applied to Jeju’s own attacks.

The phases Jeju choose — how often, and what comes outPhasesShots per phaseFast break11850.061Middle7230.162Slow build4920.24049% of their phases are fast breaks, and each one yields 0.061 shots.Slow build makes four times as many (0.240) but there are only 492 of them.
Half of Jeju’s phases are fast breaks, and each one yields 0.061 shots. Slow build yields 0.240 — four times as many. There are only 492 of them.

Going long is free. It originates none of the goals conceded on the counter.
It also produces nothing — 0.061 shots per phase.

Playing short is where the goals conceded begin. Four of eleven.
It is also where the shots come from — 0.240 per phase.

Jeju are a team that declined this trade. They never bought the risk, so they never got the chances.

It meshes exactly with episode 04. Jeonbuk bought the chances by playing through, and watched them harden against a low block. Jeju never went to the counter at all.

The result is nine draws. Four 0-0s, four 1-1s. The most common scoreline was 1-2 — five times. That is the scoreline of a team that loses narrowly. The record is the strategy.

08Attack — Jeonbuk’s mirror image

And what the sample will not allow

Episode 04 concluded that Jeonbuk could not finish the chances they made — 36 shots and no goals from slow build. Jeju are the exact opposite.

Shot quality — the xG distribution, Jeju and opponents0.30+4.8%5.3%JejuOpponentsGoals 100.10~0.3020.5%29.1%JejuOpponentsGoals 90.05~0.1031.4%31.2%JejuOpponentsGoals 8~0.0543.3%34.4%JejuOpponentsGoals 3Big-chance (0.30+ xG) conversion — and its uncertaintyJeju 10/1566.7%Opponents 5/1533.3%The two intervals overlap — 15 chances cannot support “Jeju finish better”.
JejuOpponents
Ten goals from 15 big chances, 66.7%. Jeonbuk managed 38.1%, Jeju’s opponents 33.3%. It is flat across phase types too — 1.01× on the break, 1.04× in the middle, 0.93× from slow build. Nothing collapses in any one phase the way it did for Jeonbuk. And this is where it has to stop.
Fifteen. The 95% confidence interval on 66.7% runs 41.7% to 84.8%. The opponents’ 33.3% runs 15.2% to 58.3% — the two intervals overlap. “Jeju finish better than their opponents” is a sentence this data cannot carry.

That is 0.56 big chances per match. Even at 38 rounds it is about 21. I will recompute this chapter when the season ends — and if it is still 21, I will say that it remains provisional. Finishing is not a skill a single season settles.

One thing the sample does support: Jeju’s attacking problem is not finishing but the sheer number of decisive chances. Of 312 shots, 43.3% are worth less than 0.05 xG (Jeonbuk 31%). They are not short of shots; they are short of places to shoot from.

Negueba alone took 82 of them — 26% of the team’s total — at 0.072 xG per shot against a team average of 0.095. Six goals.

And on the seven days they failed to score, it was not for want of trying.

7 blanks20 scoring matches
Shots11.911.4
Passes into the box39.331.9
xG per shot0.0750.102
Big chances0.140.70
Mean X of opponent defensive actions37.641.9

On the days they did not score, Jeju shot more and delivered more. The opponent sat deeper, shot quality fell to 0.075, and big chances dropped fivefold. It is the same picture episode 04 found — against a low block the attempts rise and the quality collapses.

Set pieces, by contrast, are one of the few places this team manufactures anything. Of 107 corners, 19 produced a shot within 15 seconds and 3 produced a goal. Across the merged 73-match sample the league converts 435 corners into 5 goals — 1.1% against Jeju’s 2.8%. Though it is 3 goals; that is not a number to lean on either.

09A team that plays from in front

Score first and they do not lose. Not once in twelve

JEJU SCORED FIRST

12 matches

9W 3D 0L

Once ahead, the opponent has to build — and slow build is what Jeju hold at 0.44×.

Points per match2.50
OPPONENT SCORED FIRST

11 matches

1W 2D 8L

With 0.061 shots per phase to work with, there is not much of a way back.

Points per match0.45

One record is attached here without an explanation. At home: 17 matches, 1.29 points per match, six blanks. Away: 10 matches, 1.70 points, one blank. They are worse at home. But 17 against 10 is too lopsided to separate opponent quality from a real effect. It is recorded, not claimed.

10So what kind of team is this?

Jeju are built not to lose, and the design works.
39 points, fifth, nine clean sheets, unbeaten when they score first.

The same design produced nine draws and seven blanks.
Decline the risk and you decline the chances with it. That is the bill for this season.

11Four matches to watch

All 27 scored on this piece’s own axes — slow-build absorption, build-up rupture, output per phase

Where the four picks sit in the season0.10.20.30.430%40%50%60%70%R1 Gwangju 0-0R7 Pohang 2-0R14 Ulsan 1-2R22 Jeonbuk 3-1Horizontal — possessionVertical — shots per phaseGrey = the other 23 matches
The four range from 29% possession to 65%. The same team becomes a different team with 29% of the ball and with 65% — which is the point.
ROUND 22 · Away · Jeonju World Cup

When this team is at its best

Jeonbuk 3-1 W

Jeonbuk generated 20 shots and 1.63 xG from 36 slow-build phases. None of it went in. Jeju had 32% of the ball, took nine shots and scored three of them — a Negueba hat-trick. Every sentence in this piece is contained in these 90 minutes.

Possession32%
Jeju shots · xG9 · 1.42
Opp slow-build shots → goals20 → 0
Shots per phase0.138
Def-third forward fail25% (4)
GK share over 30m76%
ROUND 7 · Away · Pohang Steelyard

When the trade pays

Pohang 2-0 W

Four shots, 2-0. 0.047 shots per phase is the season low — Jeju built essentially nothing. They absorbed 40 slow-build phases without conceding, and their seven forward passes in the defensive third were never once cut off. This is what a football of declined risk looks like when it wins.

Possession29%
Jeju shots · xG4 · 0.61
Opp slow-build shots → goals10 → 0
Shots per phase0.047
Def-third forward fail0% (7)
GK share over 30m60%
ROUND 14 · Away · Ulsan Munsu

When they broke the trade

Ulsan 1-2 L

65% possession — their season high. Kim Dong-jun’s share of passes over 30m fell to 25%: this was a day Jeju tried to play out. They attempted 22 short forward passes in the defensive third, the most all season, and 31.8% were cut off. Ulsan’s slow build produced two shots and 0.14 xG. They lost to two counters.

Possession65%
Jeju shots · xG15 · 1.07
Opp slow-build shots → goals2 → 0
Shots per phase0.147
Def-third forward fail32% (22)
GK share over 30m25%
ROUND 1 · Home · Jeju World Cup

And the bill

Gwangju 0-0 D

Opening day. 33% of the ball, 53% of phases fast breaks, 0.065 shots per phase. They absorbed 34 slow-build phases and kept a clean sheet. And nothing whatsoever happened. The first of nine draws, and the purest sample of Jeju’s football there is.

Possession33%
Jeju shots · xG6 · 0.56
Opp slow-build shots → goals5 → 0
Shots per phase0.065
Def-third forward fail50% (10)
GK share over 30m52%
How they were chosen — all 27 matches were scored on four measures: ① goals conceded against shots and xG allowed from opponent slow build (absorption); ② short forward pass failure rate in the defensive third and counter goals that followed (build-up rupture); ③ shots per phase and the share of phases that were fast breaks (what the trade returns); ④ whether it was the Jeonbuk fixture (symmetry with episode 04). The best and worst match on each axis was taken, with no overlap between the four. The full scoring table for all 27 is in bench/match_picker.py.

Open questions

Method

Corrections

① The turnover axis — the first draft was built on “losses in the last third are five times more dangerous” and “the same mistake, a different price (653 losses and 7 goals against 566 and 1)”. Both came from including lost duels in the definition of losing the ball, and both were discarded. Chapter 04 keeps the record.

② Corners — the first draft said “107 corners, no goals”. That was wrong. The portal’s goal descriptions tag penalties and free kicks but not corners, and the absence was read as a zero. Counted directly from events it is three goals within 15 seconds — 2.5× the league rate. The conclusion inverted.

③ Position categories — the team sheet records a real position only for starters; every substitute is filed as “bench” (484 of 1,078 rows). Taken at face value, “bench” becomes a position. Players were reassigned to their modal non-substitute position.

④ Defensive action rankings — the first draft’s “3rd for clearances, 3rd for blocks, 1st for aerials” could not be reproduced; those fields are not in the portal’s aggregate search. What is verifiable is 5th for interceptions, 6th for blocks, 7th for tackles — none of which is a top-of-the-league figure, so the claim was removed.

⑤ The Big-5 comparison — not done. FBref has withdrawn its advanced goalkeeper data; Launch% and AvgLen are empty for 2023-24, 2024-25 and 2025-26 alike. Even with the numbers the definitions do not line up — FBref’s Launch% is over 40 yards and excludes goal kicks, where this piece uses 30m and 40m thresholds and includes them. A league-internal benchmark on one source is the more honest comparison.