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Player reportLa Liga 2026

Jude Bellingham

Real Madrid
Half-space creator CM
42% of actions in the half-spaces
Capability Analysis
Successful Dribble83%vs 35 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /901.9994%
Take-on success53.91%72%
Progression55%vs 35 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.9236%
Line-breaking passes /901.2544%
Threat added by passing /900.98xT53%
Pass accuracy88.17%86%
Ball-Carrying81%vs 35 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /904.5675%
Carry distance /90144.41m83%
Successful take-ons /901.9994%
Take-on success53.91%72%
Chance Creation44%vs 35 central mids
"Does he create real chances for others?"
Expected assists /900.08xA56%
Through balls /900.00%
Threat added by passing /900.98xT53%
Box entries (pass) /901.7369%
central midtransition runnerprogressionbox-to-box
807
minutes
10 apps
41
progressive passes
4.6/90
87%
pass completion
351 passes
15
key passes
1.67/90
11
box entries
1.23/90
43
final-3rd entries
4.8/90
42
dribbles
60% won
61
possessions lost
1.39 danger/90
Overview

The player

Who he is and how he compares with his peers.

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
Left Half-Space, Middle third — mostly in the middle third (56% of his 351 passes)
87% completion · 351× in 10/10 matches
↓
PROGRESS
drive or pass into the final third
4.6 prog/90 · 41× in 9/10 matches
↓
ARRIVE
get into the box late
15 key passes · 11× in 5/10 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.67 key passes /90 · 3 goals · 34× in 7/10 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
20

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 →
35
passes / match
4.2
dribbles / match
10–49
pass range (matches)
1–7
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (10 at the low end, 49 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession

In possession

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

10

How dangerous are his carries?

Real ball-carries

110 tracked carries (12.3/90, 25 progressive, 1045m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.

1%4%3%4%4%1%11%7%7%1%9%11%22%13%4%
progressivelateral/short% of his 110 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 29m
By zone — where the carry started → where it ended
16Outside → Inside
54Inside → Inside
29Outside → Outside
11Inside → Outside
First (51)Second (30)Third (15)Fourth (14)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Jude Bellingham's signature is the dribble. Does he carry outside (down the left wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 4.68 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 71%
OUTSIDE 29%
Dribble location — 30 inside · 12 outside
Right Wing
0 · 0%
Right Half-Space
2 · 5%
Central
9 · 21%
Left Half-Space
19 · 45%
Left Wing
12 · 29%
Vision AI 29% of his dribbles are in the wide left lane — he attacks the full-back on the outside, then threatens to cut inside onto his right foot.
12

How does he build & move the ball?

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW2250%1136%89%25%1RHS2143%933%714%310%2C7613%1017%1324%1829%2217%13LHS1047%74%420%2124%2545%47LW841%12%211%931%2655%46FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the defensive third → the left wing in the middle third — 2 progressive passes (7% of his progression) at 0.058 xT each. He keeps it in the same lane.

Inward (32%) and outward (25%) progression are balanced — no strong lane bias.

11% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 12 line-breaking passes and 43 final-third entries, 2.9 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
1%0%4%2%3%4%3%7%11%9%1%1%6%13%19%13%3%
completedincomplete351 passes · any zone → any zone · own goal left, attacking →
351
passes
87%
completed
44
lost
Vision AIIn line with his 87% season completion rate.
03

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

41
progressive · 4.6/90
43
final-third entries · 4.8/90
11
box entries · 1.23/90
17
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
05

How does he create chances?

15 key passes (1.67/90), 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:
7%33%20%33%7%
chance creation (15)assist (0)% of the selected group's key passes originating in each zone
15

Can he finish?

19 shots · 1.43 xG · 3 goals (+1.57 vs xG). Mostly left-footed. Circle size = xG.

shots  19
on target  14
goals  3
xG  1.43
xG on target  1.37
xG / shot  0.075
Where he shoots from — click an area of the box
11

Where does he become vulnerable?

61 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

37
attacking third (cheap)
20
middle third
4
own third (dangerous)
Vision AI 61% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.39 danger-index/90 · 0.205 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
13

What is his passing profile?

351
passes attempted
45%
mostly forward
47%
mostly short
Direction
Forward
157 · 45%
Sideways
99 · 28%
Backward
95 · 27%
Length (completed)
Short (<15m)
145 · 47%
Medium
130 · 42%
Long (>30m)
32 · 10%
07

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.660.440.430.340.320.32
own goal left, attacking →
Highest-value routes (xT)
0.66
Left Half-Space Mid third → Left Wing Att third
5 passes
0.44
Left Half-Space Mid third → Left Half-Space Att third
2 passes
0.43
Left Wing Mid third → Right Half-Space Att third
1 passes
0.34
Central Mid third → Right Half-Space Att third
1 passes
0.32
Left Wing Mid third → Left Wing Att third
3 passes
0.32
Central Mid third → Left Half-Space Att third
2 passes
08

Where Does He Receive?

The zones where Jude Bellingham 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
17%
Primary
Left Half-Space, Middle third
17%
Secondary
Left Wing, Middle third
14%
Third
Left Half-Space, Attacking third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Jude Bellingham 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:
222557049251226424016311581115
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.

1%0%4%2%3%4%3%7%11%9%1%1%6%13%19%13%3%
own goal left, attacking →
14

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.

15Key pass
2Cross
2Cutback
41Progressive
32Long ball
22Switch
By zone — where the pass started → where it landed
48Outside → Inside
115Inside → Inside
58Outside → Outside
86Inside → Outside
By direction
157Forward
95Backward
99Sideways
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 switches it out from the left hs to the left wing, advancing it forward in the middle third — 5 passes worth 0.66 xT.
Where do his chances come from?
Of 15 key passes, his busiest route is a delivery where he plays straight through the central in the final third — 4 times. The receiver isn't identifiable in this data, only where the pass started and ended.
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 half-space in the final third: 33% of his 12 touches there are lost (4 times).
—2 touches · too few—2 touches · too few0%0/9 lost14%2/14 lost0%0/11 lost8%1/12 lost14%2/14 lost6%3/49 lost10%6/62 lost3%2/60 lost31%4/13 lost33%4/12 lost25%7/28 lost16%7/43 lost25%5/20 lostRWRHSCLHSLWDEFMIDATT
04

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 110 ball-carries, his dominant tendency is that he carries through central areas (49%). He carries from outside into the middle 16 times and out toward the touchline 11 — a genuine inside forward who cuts in with the ball.
06

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
3 · 3%
Progressive / key pass
6 · 5%
Simple pass
76 · 69%
No clean link
25 · 23%
Of 110 carries, 3% flow straight into a shot of his own, 5% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 23% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

16

How & where does he defend?

146 defensive actions across the season (16.3/90). 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 →
20
tackles · 65% won
4
interceptions · 0.4/90
45
recoveries · 5.0/90
9
clearances · 1.0/90
11
blocks
48
avg action height
35
won high (att 3rd)
66
middle third
45
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 69 proactive ball-wins (7.7/90), tackle success 65%. He defends high, stepping out to intercept — suits a high line.
17

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Jude Bellingham keep producing when the game is tight and the press is high? Tiers of ~3-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 5.3, 3m)
0.68
2.6
1.32
92%
Mid press (PPDA 8.0, 3m)
1.03
6.7
2.06
43%
Low press (PPDA 9.5, 4m)
1.20
5.0
1.75
50%
Team

Team context

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

18

Impact on the Team

Insufficient sample: Jude Bellingham played nearly every Real Madrid match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

19

His Share of the Team

Of everything Real Madrid produced this season, the categories where the biggest share ran through Jude Bellingham specifically — his share of the team total, not a per-90 rate.

category
share
him / team
goals
13%
3 / 23
successful take-ons
9%
62 / 665
tackles
8%
71 / 875
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

21

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 central mids 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.

Transition runner84%Box-to-box runner74%Advanced playmaker (8)72%Tempo controller70%
Why Transition runner 84%: a weighted blend of defensive aggression 95 (weight 30%) + transition 62 (weight 45%) + box threat 92 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
defensive aggression, box threat, dribbling
Strong
press resistance, receiving zones, retention, carrying, creativity
Average
ball-winning, final-third threat, transition, crossing, progression, build-up, line-breaking, through-balls
Weak
passing directness, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
95
Box threat
92
Dribbling
89
Press resistance ~proxy
81
Receiving zones
80
Retention
78
Carrying
76
Creativity
71
Ball-winning
70
Final-third threat
67
Transition ~proxy
62
Crossing
52
Progression
50
Build-up
47
Line-breaking
44
Through-balls ~proxy
41
Passing directness
35
Territory (wide vs central)
25
22

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: 186 cm / 75 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 La Liga, Bundesliga, Ligue 1, Premier League 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.

Felix Nmecha Borussia Dortmund · Bundesliga · 190 cm / 73 kg
88%
Driven by: press resistance (16%), defensive aggression (13%), dribbling (11%). Different mechanism — Bellingham more via territory (wide vs central), defensive aggression.
Khéphren Thuram Juventus · Serie A · 192 cm / 80 kg
83%
Driven by: defensive aggression (17%), press resistance (13%), dribbling (12%). Different mechanism — Bellingham more via crossing; Thuram more via passing directness.
Maxence Caqueret Como · Serie A · 174 cm / 63 kg
77%
Driven by: defensive aggression (18%), receiving zones (12%), press resistance (12%). Different mechanism — Bellingham more via box threat, defensive aggression; Caqueret more via passing directness, line-breaking.
Darryl Bakola Sassuolo · Serie A · 178 cm / 70 kg
76%
Driven by: defensive aggression (29%), press resistance (16%), dribbling (14%). Different mechanism — Bellingham more via box threat, crossing; Bakola more via through-balls, build-up.
Nikola Vlasic Torino · Serie A · 179 cm / 79 kg
74%
Driven by: box threat (25%), defensive aggression (25%), creativity (12%). Different mechanism — Bellingham more via dribbling, press resistance; Vlasic more via territory (wide vs central).
Lucas da Cunha Como · Serie A · 174 cm / 66 kg
73%
Driven by: box threat (16%), press resistance (16%), retention (11%). Different mechanism — Bellingham more via defensive aggression; Cunha more via line-breaking, build-up.
23

Summary

Jude Bellingham is a transition runner / box-to-box runner: 4.6 progressive passes, 1.67 key passes /90, 11 box entries, 3 goals from 1.43 xG. A box-to-box contributor across every phase.

Based on 10 matches (807 minutes) — a reasonable read, still building toward a full-season sample. He profiles as a transition runner / box-to-box runner — best used in a system built around that identity. His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall transition runner profile.
✨ This report is interactive

Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.

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