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Player reportPremier League 2025/26

Douglas Luiz

Juventus
Half-space creator CM
39% of actions in the half-spaces
central midadvanced playmaker (8)progressionbox-to-box
981
minutes
21 apps
51
progressive passes
4.7/90
86%
pass completion
698 passes
19
key passes
1.74/90
9
box entries
0.83/90
51
final-3rd entries
4.7/90
14
dribbles
43% won
105
possessions lost
2.59 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
Central, Middle third — mostly in the middle third (54% of his 698 passes)
86% completion · 698× in 21/21 matches
↓
PROGRESS
drive or pass into the final third
4.7 prog/90 · 51× in 15/21 matches
↓
ARRIVE
get into the box late
19 key passes · 9× in 8/21 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.74 key passes /90 · 1 goals · 30× in 12/21 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 →
33
passes / match
1.8
dribbles / match
3–81
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (3 at the low end, 81 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.

12

How dangerous are his carries?

Real ball-carries

166 tracked carries (15.2/90, 41 progressive, 1558m 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%2%6%6%2%1%1%14%16%11%2%1%9%10%13%6%
progressivelateral/short% of his 166 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 31m
By zone — where the carry started → where it ended
11Outside → Inside
121Inside → Inside
26Outside → Outside
8Inside → Outside
First (54)Second (54)Third (35)Fourth (23)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Douglas Luiz'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: 1.20 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 64%
OUTSIDE 36%
Dribble location — 9 inside · 5 outside
Right Wing
4 · 29%
Right Half-Space
2 · 14%
Central
2 · 14%
Left Half-Space
5 · 36%
Left Wing
1 · 7%
Vision AI 36% 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.
06

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 →RWRHSCLHSLWRW5254%2827%1417%92%1RHS7634%2634%2626%204%31%1C2129%1926%5530%6324%5012%25LHS1562%36%932%5031%4829%46LW1051%14%46%635%3754%57FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the final third → central areas in the final third — 5 progressive passes (9% of his progression) at 0.106 xT each. He moves it inside.

His progression is inward: 64% of progressive passes move the ball toward the middle versus 4% going wider — he cuts in rather than holding width.

9% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 25 line-breaking passes and 51 final-third entries, 5.6 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%2%4%4%3%3%1%9%15%12%5%1%2%6%9%10%9%4%
completedincomplete698 passes · any zone → any zone · own goal left, attacking →
698
passes
86%
completed
97
lost
Vision AIIn line with his 86% season completion rate.
02

How does he progress play?

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

51
progressive · 4.7/90
51
final-third entries · 4.7/90
9
box entries · 0.83/90
25
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.
04

How does he create chances?

19 key passes (1.74/90), 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:
20%13%7%13%20%13%7%7%
chance creation (15)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

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

52
attacking third (cheap)
37
middle third
16
own third (dangerous)
Vision AI 50% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.59 danger-index/90 · 0.269 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?

698
passes attempted
36%
mostly sideways
50%
mostly short
Direction
Forward
247 · 35%
Sideways
253 · 36%
Backward
198 · 28%
Length (completed)
Short (<15m)
302 · 50%
Medium
256 · 43%
Long (>30m)
43 · 7%
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.

0.610.440.390.380.370.27
own goal left, attacking →
Highest-value routes (xT)
0.61
Central Mid third → Left Half-Space Att third
2 passes · 1 to a shot
0.44
Central Mid third → Central Att third
2 passes · 1 to a shot
0.39
Left Half-Space Mid third → Left Wing Att third
4 passes
0.38
Central Mid third → Left Wing Att third
3 passes
0.37
Left Half-Space Att third → Central Att third
2 passes
0.27
Left Half-Space Att third → Right Half-Space Att third
1 passes
10

Where Does He Receive?

The zones where Douglas Luiz 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
22%
Primary
Central, Middle third
14%
Secondary
Left Half-Space, Middle third
8%
Third
Left Wing, Middle third
These are the zones where he collected the ball most.
11

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Douglas Luiz 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:
1540697061277651038544871729302422
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%2%4%4%3%3%1%9%15%12%5%1%2%6%9%10%9%4%
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.

19Key pass
8Cross
3Cutback
51Progressive
70Long ball
31Switch
By zone — where the pass started → where it landed
71Outside → Inside
324Inside → Inside
86Outside → Outside
120Inside → Outside
By direction
247Forward
198Backward
253Sideways
own goal left, attacking →
03

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 central to the left hs, advancing it forward in the middle third — 2 passes worth 0.61 xT.
Where do his chances come from?
Of 19 key passes, his busiest route is a delivery where he plays straight through the central in the final third — 3 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: 47% of his 15 touches there are lost (7 times).
12%2/17 lost0%0/20 lost14%6/43 lost5%2/42 lost20%5/25 lost5%1/20 lost9%5/53 lost7%11/158 lost11%10/93 lost11%6/56 lost38%11/29 lost47%7/15 lost10%3/31 lost20%8/41 lost36%20/55 lostRWRHSCLHSLWDEFMIDATT
05

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 166 ball-carries, his dominant tendency is that he carries through central areas (73%). He carries from outside into the middle 11 times and out toward the touchline 8 — a genuine inside forward who cuts in with the ball.
08

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
1 · 1%
Progressive / key pass
11 · 7%
Simple pass
133 · 80%
No clean link
21 · 13%
Of 166 carries, 1% flow straight into a shot of his own, 7% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 13% have no clean link to a next touch of his own close to where the carry ended.
15

Crosses & Cutbacks

8 crosses (0.73/90, 1 completed) and 3 cutbacks (0.28/90, 1 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

16

How & where does he defend?

139 defensive actions across the season (12.8/90). 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 →
23
tackles · 57% won
15
interceptions · 1.4/90
52
recoveries · 4.8/90
13
clearances · 1.2/90
11
blocks
37
avg action height
13
won high (att 3rd)
59
middle third
67
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 90 proactive ball-wins (8.3/90), tackle success 57%. He defends mostly around the middle third.
17

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Douglas Luiz keep producing when the game is tight and the press is high? Tiers of ~7-7 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 5.3, 7m)
1.41
5.1
1.69
33%
Mid press (PPDA 6.6, 7m)
1.43
5.3
2.16
57%
Low press (PPDA 10.0, 7m)
1.15
3.7
1.32
25%
Team

Team context

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

18

Impact on the Team

Juventus's output per match with Douglas Luiz (14 matches) versus without him (24 matches). A proper on-off model needs many more minutes.

WITH (14)
WITHOUT (24)
Δ
goals for /match
1.36
1.54
-0.18
xG for /match
1.37
0.12
+1.25
goals against /match
1.43
1.21
+0.22
points /match
1.36
1.92
-0.56
19

His Share of the Team

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

category
share
him / team
final-third entries
7%
140 / 1976
zone-14 entries
7%
30 / 431
half-space entries
6%
93 / 1468
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.

Advanced playmaker (8)86%Box-to-box runner83%Transition runner79%Deep-lying playmaker79%
Why Advanced playmaker (8) 86%: a weighted blend of creativity 89 (weight 35%) + final-third threat 85 (weight 25%) + progression 84 (weight 25%) + box threat 74 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, creativity, through-balls, line-breaking, final-third threat
Strong
progression, carrying, ball-winning, transition, retention, box threat, build-up, defensive aggression
Average
press resistance, dribbling, crossing
Weak
passing directness, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
92
Creativity
89
Through-balls ~proxy
88
Line-breaking
86
Final-third threat
85
Progression
84
Carrying
83
Ball-winning
81
Transition ~proxy
74
Retention
74
Box threat
74
Build-up
73
Defensive aggression
71
Press resistance ~proxy
65
Dribbling
56
Crossing
55
Passing directness
36
Territory (wide vs central)
15
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: 175 cm / 66 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Pedri Barcelona · La Liga · 174 cm / 68 kg
91%
Driven by: creativity (11%), receiving zones (10%), carrying (8%). Different mechanism — Pedri more via passing directness, dribbling.
Nicolò Fagioli Fiorentina · 178 cm / 71 kg
85%
Driven by: creativity (15%), receiving zones (10%), transition (8%). Different mechanism — Luiz more via defensive aggression; Fagioli more via passing directness, dribbling.
Petar Sucic Inter · 183 cm / 68 kg
85%
Driven by: receiving zones (12%), carrying (11%), final-third threat (10%). Different mechanism — Luiz more via ball-winning, creativity; Sucic more via territory (wide vs central), crossing.
Maxence Caqueret Como · 174 cm / 63 kg
84%
Driven by: creativity (18%), receiving zones (14%). Different mechanism — Luiz more via through-balls; Caqueret more via passing directness, dribbling.
Henrikh Mkhitaryan Inter · 177 cm / 75 kg
84%
Driven by: receiving zones (13%), ball-winning (11%), final-third threat (9%). Different mechanism — Luiz more via build-up, creativity; Mkhitaryan more via passing directness, territory (wide vs central).
Lucas da Cunha Como · 174 cm / 66 kg
83%
Driven by: receiving zones (11%), final-third threat (9%), retention (8%). Different mechanism — Luiz more via creativity, through-balls; Cunha more via dribbling.
23

Summary

Douglas Luiz is an advanced playmaker (8) / box-to-box runner: 4.7 progressive passes, 1.74 key passes /90, 9 box entries, 1 goals from 0.77 xG. A box-to-box contributor across every phase.

Based on 21 matches (981 minutes) — a reasonable read, still building toward a full-season sample. He profiles as an advanced playmaker (8) / box-to-box runner — best used in a system built around that identity. His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall advanced playmaker (8) 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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