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Player reportSerie A 2025/26

Jhon Lucumí

Juventus
Ball-playing centre-back CB
6.3 progressive passes/90 · 1.1 line-breaking/90
Capability Analysis
Aerial & Box Defending6%vs 43 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /903.3412%
Ball-Winning56%vs 43 centre-backs
"How actively does he win the ball back?"
Interceptions /901.3170%
Ball recoveries /904.9593%
Tackles /901.4637%
Duels won /901.4326%
Breaking Pressure
no action recorded in any high-press match yet
Progression78%vs 43 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /904.0974%
Line-breaking passes /901.3186%
Threat added by passing /901.3xT86%
Pass accuracy90.22%67%
Ball-Carrying79%vs 43 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /906.0979%
Carry distance /90146.22m79%
centre-backball-playing centre-backbuild-upline-breaking
2427
minutes
29 apps
1624
passes
90% completed
90%
pass completion
1624 passes
170
progressive passes
6.3/90
190
line-breaking passes
7.0/90
407
defensive actions
15.1/90
73
tackles + interceptions
49% tackle win
101
clearances
3.7/90
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
in the first line of build-up — mostly in the middle third (58% of his 1624 passes)
90% completion · 1624× in 29/29 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
6.3 prog/90 · 190× in 28/29 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 107× in 26/29 matches
↓
PROGRESS
entries into the final third
4.2/90 · 112× in 25/29 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 — 12× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
17

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 →
56
passes / match
15.1
def actions / 90
9–100
pass range (matches)
101
clearances
Pass range = his fewest and most passes in any single match this season (9 at the low end, 100 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.

10

How dangerous are his carries?

Real ball-carries

390 tracked carries (14.5/90, 77 progressive, 3372m 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.

0%1%0%0%3%14%22%6%0%5%19%21%7%0%
progressivelateral/short% of his 390 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 30m
By zone — where the carry started → where it ended
27Outside → Inside
306Inside → Inside
36Outside → Outside
21Inside → Outside
First (127)Second (107)Third (101)Fourth (55)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).

41
tackle duels
20
won
21
beaten · 51%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 61%
OUTSIDE 39%
Tackle-duel location — 25 inside · 16 outside
Right Wing
6 · 15%
Right Half-Space
10 · 24%
Central
5 · 12%
Left Half-Space
10 · 24%
Left Wing
10 · 24%
Vision AI beaten in 21 of 41 tackle duels (51% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 6 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.

02

How does he build & move the ball?

How does he escape the first line?

13%
vertical passes
142×
7%
switches
81×
30%
carries
333×
50%
short circulation
567×
Answer: he escapes the press primarily through carrying — stepping out with 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 →RWRHSCLHSLWRW1638%631%531%5RHS6335%2222%1437%235%32%1C4859%4528%13828%13421%10114%67LHS6784%2811%7335%23918%11932%219LW2121%24%926%5633%7135%74FROM
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 middle third → the left half-space in the middle third — 14 progressive passes (14% of his progression) at 0.026 xT each. He moves it inside.

His progression is inward: 53% of progressive passes move the ball toward the middle versus 12% going wider — he cuts in rather than holding width.

13% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 29 line-breaking passes and 112 final-third entries, 22.6 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
0%2%2%1%0%2%14%16%9%1%0%4%19%18%11%1%0%
completedincomplete1624 passes · any zone → any zone · own goal left, attacking →
1624
passes
90%
completed
170
lost
Vision AIIn line with his 90% season completion rate.
03

How does he progress play?

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

170
progressive · 6.3/90
112
final-third entries · 4.2/90
3
box entries · 0.11/90
20
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.
12

How does he create chances?

6 key passes (0.22/90), 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:
17%17%17%17%17%17%
chance creation (6)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

171 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.

7
attacking third (cheap)
89
middle third
75
own third (dangerous)
Vision AI 4% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.18 danger-index/90 · 0.502 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

1624
passes attempted
50%
mostly forward
54%
mostly medium
Direction
Forward
819 · 50%
Sideways
529 · 33%
Backward
276 · 17%
Length (completed)
Short (<15m)
525 · 36%
Medium
785 · 54%
Long (>30m)
144 · 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.

0.940.830.770.710.680.67
own goal left, attacking →
Highest-value routes (xT)
0.94
Left Half-Space Mid third → Left Half-Space Att third
5 passes
0.83
Left Half-Space Def third → Left Wing Mid third
13 passes · 1 to a shot
0.77
Left Half-Space Mid third → Left Half-Space Mid third
8 passes
0.71
Left Wing Def third → Left Half-Space Att third
3 passes
0.68
Left Half-Space Mid third → Left Wing Mid third
13 passes
0.67
Left Half-Space Mid third → Left Wing Att third
8 passes
08

Where Does He Receive?

The zones where Jhon Lucumí 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
27%
Primary
Left Half-Space, Middle third
20%
Secondary
Central, Middle third
18%
Third
Left Half-Space, Defensive 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 Jhon Lucumí 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:
663112941821124022026315213932630124
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.

0%2%2%1%0%2%14%16%9%1%0%4%19%18%11%1%0%
own goal left, attacking →
11

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.

6Key pass
3Cross
1Cutback
170Progressive
190Long ball
107Switch
By zone — where the pass started → where it landed
146Outside → Inside
844Inside → Inside
82Outside → Outside
382Inside → Outside
By direction
819Forward
276Backward
529Sideways
own goal left, attacking →
04

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 left hs, advancing it forward in the middle third — 5 passes worth 0.94 xT.
Where do his chances come from?
Of 6 key passes, his busiest route is a delivery where he switches it out from the left hs to the left wing, advancing it forward in the defensive third — 1 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 central in the final third: 38% of his 13 touches there are lost (5 times).
—7 touches · too few11%3/28 lost8%17/203 lost8%24/293 lost25%31/122 lost0%0/9 lost21%9/43 lost8%26/317 lost8%35/436 lost13%18/134 lost—0 touches · too few—5 touches · too few38%5/13 lost0%0/8 lost—6 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

407 defensive actions across the season (15.1/90). 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 →
41
tackles · 49% won
32
interceptions · 1.2/90
133
recoveries · 4.9/90
101
clearances · 3.7/90
14
blocks
29
avg action height
11
won high (att 3rd)
142
middle third
254
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 206 proactive ball-wins (7.6/90), tackle success 49%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Jhon Lucumí still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~9-11 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.9, 9m)
90%
5.2
6.7
1.08
Mid press (PPDA 6.9, 9m)
88%
6.9
7.3
1.21
Low press (PPDA 10.0, 11m)
90%
6.5
7.1
1.30
Team

Team context

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

15

Impact on the Team

Juventus's output per match with Jhon Lucumí (29 matches) versus without him (9 matches). 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 (29)
WITHOUT (9)
Δ
goals against /match
1.14
1.44
-0.31
points /match
1.48
1.44
+0.04
goals for /match
1.24
1.44
-0.20
xG for /match
1.22
0.65
+0.57
16

His Share of the Team

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

category
share
him / team
interceptions
11%
44 / 400
clearances
9%
112 / 1237
zone-14 entries
9%
24 / 271
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

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.

Ball-playing centre-back80%Stopper centre-back71%
Why Ball-playing centre-back 80%: a weighted blend of retention 75 (weight 30%) + progression 83 (weight 25%) + build-up 67 (weight 30%) + press resistance 73 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, line-breaking
Strong
progression, carrying, transition, final-third threat, retention, press resistance, ball-winning
Average
dribbling, build-up, creativity, through-balls, defensive aggression, passing directness, crossing
Weak
box threat, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
91
Line-breaking
91
Progression
83
Carrying
77
Transition ~proxy
77
Final-third threat
75
Retention
75
Press resistance ~proxy
73
Ball-winning
72
Dribbling
69
Build-up
67
Creativity
65
Through-balls ~proxy
64
Defensive aggression
50
Passing directness
50
Crossing
42
Box threat
30
Territory (wide vs central)
22
19

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: 187 cm / 84 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.

Juan Foyth Villarreal · La Liga · 187 cm / 83 kg
90%
Driven by: transition (14%), receiving zones (11%), progression (11%). Different mechanism — Foyth more via passing directness.
Daley Blind Girona · La Liga 25/26 · 180 cm / 72 kg
86%
Driven by: transition (12%), progression (12%), receiving zones (11%). Different mechanism — Blind more via crossing, territory (wide vs central).
Castello Lukeba RBL · Bundesliga · 184 cm / 73 kg
85%
Driven by: transition (13%), press resistance (12%), line-breaking (10%). Different mechanism — Lucumí more via receiving zones, defensive aggression; Lukeba more via passing directness, dribbling.
Aïssa Mandi Levante · La Liga · 186 cm / 81 kg
85%
Driven by: progression (15%), transition (14%), retention (11%). Different mechanism — Lucumí more via receiving zones; Mandi more via crossing.
Moussa Niakhaté Lyon · Ligue 1 · 190 cm / 82 kg
84%
Driven by: transition (16%), progression (13%), line-breaking (10%). Different mechanism — Lucumí more via ball-winning, receiving zones; Niakhaté more via passing directness, through-balls.
Mario Gila AC Milan · 185 cm / 74 kg
83%
Driven by: transition (15%), receiving zones (13%), progression (12%). Different mechanism — Gila more via crossing, box threat.
20

Summary

Jhon Lucumí is a ball-playing centre-back / stopper centre-back: 90% pass completion, 190 line-breaking passes and 6.3 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 29 matches (2427 minutes) this season — a reliable read. He profiles as a ball-playing centre-back / stopper centre-back — best used in a system built around that identity. His biggest room for growth is build-up — even a modest improvement there would meaningfully lift his overall ball-playing centre-back 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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