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Player reportPremier League 2026

Jaka Bijol

Leeds
Stopper centre-back CB
23.0 defensive actions/90 · 3.6 progressive/90 — defends first
centre-backstopper centre-backbuild-upline-breaking
278
minutes
5 apps
133
passes
77% completed
77%
pass completion
133 passes
11
progressive passes
3.6/90
20
line-breaking passes
6.5/90
71
defensive actions
23.0/90
11
tackles + interceptions
60% tackle win
24
clearances
7.8/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Jaka Bijol has played 5 matches (278 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
01

What Patterns Define Him?

His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.

RECEIVE
in the first line of build-up — mostly in the middle third (49% of his 133 passes)
77% completion · 133× in 5/5 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
3.6 prog/90 · 20× in 4/5 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 4× in 3/5 matches
↓
PROGRESS
entries into the final third
1.9/90 · 6× in 3/5 matches
Signature: Receive → Break A Line → Switch Play → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
12

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
27
passes / match
23.0
def actions / 90
4–56
pass range (matches)
24
clearances
Pass range = his fewest and most passes in any single match this season (4 at the low end, 56 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

05

How dangerous are his carries?

Real ball-carries

46 tracked carries (14.9/90, 9 progressive, 397m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

17%22%17%2%26%11%2%2%
progressivelateral/short% of his 46 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 25m
By zone — where the carry started → where it ended
1Outside → Inside
32Inside → Inside
6Outside → Outside
7Inside → Outside
First (25)Second (11)Third (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

5
tackle duels
3
won
2
beaten · 40%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 40%
OUTSIDE 60%
Tackle-duel location — 2 inside · 3 outside
Right Wing
2 · 40%
Right Half-Space
1 · 20%
Central
1 · 20%
Left Half-Space
0 · 0%
Left Wing
1 · 20%
Vision AI beaten in 2 of 5 tackle duels (40% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 0 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

08

How does he create chances?

0 key passes (0.00/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.

Chance creation — key pass origin zone share
Filter:
chance creation (0)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

31 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

3
attacking third (cheap)
15
middle third
13
own third (dangerous)
Vision AI 10% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 5.18 danger-index/90 · 0.516 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03

Where Does He Receive?

The zones where Jaka Bijol gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
26%
Primary
Right Half-Space, Defensive third
23%
Secondary
Right Half-Space, Middle third
13%
Third
Right Wing, Defensive third
These are the zones where he collected the ball most.
04

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Jaka Bijol actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
331121417641433308
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

11%25%23%6%2%11%13%5%1%2%2%1%1%
own goal left, attacking →
07

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

1Cross
1Cutback
11Progressive
20Long ball
4Switch
By zone — where the pass started → where it landed
13Outside → Inside
57Inside → Inside
9Outside → Outside
23Inside → Outside
By direction
68Forward
23Backward
42Sideways
own goal left, attacking →
02

Tactical patterns — how his football actually looks

Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.

own goal left, attacking →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right wing, advancing it forward in the middle third — 1 passes worth 0.17 xT.
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the right wing in the defensive third: 47% of his 17 touches there are lost (8 times).
47%8/17 lost9%3/34 lost22%2/9 lost—3 touches · too few—2 touches · too few31%5/16 lost17%5/30 lost27%4/15 lost—4 touches · too few—0 touches · too few—0 touches · too few—0 touches · too few—1 touch · too few—2 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

71 defensive actions across the season (23.0/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.

click a card to isolate that action type · own goal left, attacking →
5
tackles · 60% won
6
interceptions · 1.9/90
11
recoveries · 3.6/90
24
clearances · 7.8/90
1
blocks
35
avg action height
9
won high (att 3rd)
21
middle third
41
own third
Vision AI A mid-block defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 22 proactive ball-wins (7.1/90), tackle success 60%. He defends mostly around the middle third.
Team

Team context

How much of the team runs through him, and what changes without him.

10

Impact on the Team

Leeds's output per match with Jaka Bijol (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (5)
WITHOUT (3)
Δ
goals against /match
0.80
0.67
+0.13
points /match
1.20
1.67
-0.47
goals for /match
0.80
1.67
-0.87
xG for /match
1.06
1.51
-0.45
11

His Share of the Team

Of everything Leeds produced this season, the categories where the biggest share ran through Jaka Bijol specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
10%
188 / 1872
interceptions
6%
30 / 533
threat added by passing (xT)
4%
23.3 / 533.5
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

13

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 513 centre-backs in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.

Stopper centre-back63%Ball-playing centre-back56%
Why Stopper centre-back 63%: a weighted blend of defensive aggression 80 (weight 35%) + ball-winning 46 (weight 40%) + retention 46 (weight 15%) + transition 51 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
defensive aggression, line-breaking
Average
through-balls, carrying, progression, build-up, box threat, creativity, press resistance, transition, retention, ball-winning, dribbling, crossing, passing directness, receiving zones
Weak
final-third threat, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
80
Line-breaking
70
Through-balls ~proxy
67
Carrying
60
Progression
60
Build-up
59
Box threat
58
Creativity
53
Press resistance ~proxy
52
Transition ~proxy
51
Retention
46
Ball-winning
46
Dribbling
44
Crossing
43
Passing directness
42
Receiving zones
40
Final-third threat
38
Territory (wide vs central)
21
14

Similar Players — in style space

Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 190 cm / 85 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style. Scope: pooled across the Premier League, Bundesliga, La Liga, Ligue 1 and Serie A, percentiled within each player's own league before comparing — a match from another league is marked with its league name.

Style, not quality: a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.

Kevin Danso Sunderland · 190 cm / 85 kg
54%
Driven by: defensive aggression (49%), through-balls (15%). Different mechanism — Danso more via passing directness, territory (wide vs central).
Ozan Kabak Hoffenheim · Bundesliga · 187 cm / 86 kg
53%
Driven by: defensive aggression (45%), territory (wide vs central) (26%), box threat (11%). Different mechanism — Kabak more via passing directness, box threat.
Dan Ballard Sunderland · 187 cm / 85 kg
51%
Driven by: defensive aggression (61%), box threat (8%). Different mechanism — Bijol more via line-breaking, progression; Ballard more via box threat, territory (wide vs central).
Jeff Chabot Stuttgart · Bundesliga · 195 cm / 95 kg
50%
Driven by: defensive aggression (35%), territory (wide vs central) (28%). Different mechanism — Bijol more via through-balls, line-breaking; Chabot more via passing directness, final-third threat.
Cristian Romero Atletico · La Liga · 185 cm / 78 kg
47%
Driven by: defensive aggression (41%), territory (wide vs central) (18%), line-breaking (11%). Different mechanism — Romero more via receiving zones, dribbling.
Leo Østigård Genoa · Serie A · 183 cm / 81 kg
47%
Driven by: territory (wide vs central) (32%), defensive aggression (20%), build-up (12%). Different mechanism — Bijol more via line-breaking, defensive aggression; Østigård more via passing directness, box threat.
15

Summary

Jaka Bijol is a stopper centre-back / ball-playing centre-back: 77% pass completion, 20 line-breaking passes and 3.6 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 5 matches (278 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back / ball-playing centre-back — best used in a system built around that identity. His biggest room for growth is ball-winning — even a modest improvement there would meaningfully lift his overall stopper centre-back profile.
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