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Player reportSerie A 2026

Manuel Locatelli

Juventus
Ball-winning 6 (destroyer) DM
19.7 defensive actions/90
defensive midball-winning 6press resistancescreening
288
minutes
3 apps
234
passes
86% completed
86%
pass completion
234 passes
30
progressive passes
9.4/90
63
defensive actions
19.7/90
12
tackles + interceptions
80% tackle win
11
recoveries
3.4/90
23
line-breaking passes
7.2/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Manuel Locatelli has played 3 matches (288 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
drop between the centre-backs — mostly in the middle third (62% of his 234 passes)
86% completion · 234× in 3/3 matches
↓
PROGRESS CENTRAL
break a line through the middle
9.4 prog/90 · 23× in 3/3 matches
↓
SCREEN / WIN BALL
protect the back four
7.2 ball-wins/90 · 23× in 3/3 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
12.5 f3-entries/90 · 40× in 3/3 matches
Signature: Receive → Progress Central → Screen / Win Ball → Recycle / 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: escape pressure — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
16

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 →
78
passes / match
19.7
def actions / 90
62–98
pass range (matches)
9
clearances
Pass range = his fewest and most passes in any single match this season (62 at the low end, 98 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.

11

How dangerous are his carries?

Real ball-carries

44 tracked carries (13.8/90, 7 progressive, 355m 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.

2%14%16%7%9%16%20%2%11%2%
progressivelateral/short% of his 44 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 22m
By zone — where the carry started → where it ended
1Outside → Inside
36Inside → Inside
3Outside → Outside
4Inside → Outside
First (21)Second (12)Third (11)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
4
won
1
beaten · 20%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 60%
OUTSIDE 40%
Tackle-duel location — 3 inside · 2 outside
Right Wing
2 · 40%
Right Half-Space
0 · 0%
Central
3 · 60%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 1 of 5 tackle duels (20% 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.

04

How does he build & move the ball?

How does he escape the first line?

19%
vertical passes
15×
8%
switches
6×
30%
carries
24×
44%
short circulation
35×
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 →RWRHSCLHSLWRW3256%1831%1012%4RHS5233%1713%744%238%42%1C8716%1420%1737%3221%187%6LHS1911%247%921%421%4LW128%117%275%9FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: central areas in the middle third → central areas in the middle third — 5 progressive passes (17% of his progression) at 0.031 xT each. He keeps it in the same lane.

His progression is inward: 45% of progressive passes move the ball toward the middle versus 3% going wider — he cuts in rather than holding width.

10% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 12 line-breaking passes and 40 final-third entries, 4.8 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
6%9%14%9%0%0%9%12%21%7%0%0%3%2%4%2%0%
completedincomplete234 passes · any zone → any zone · own goal left, attacking →
234
passes
86%
completed
32
lost
Vision AIIn line with his 86% season completion rate.
03

How does he progress play?

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

30
progressive · 9.4/90
40
final-third entries · 12.5/90
3
box entries · 0.94/90
31
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.
08

How does he create chances?

5 key passes (1.56/90), 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%60%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

32 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.

5
attacking third (cheap)
17
middle third
10
own third (dangerous)
Vision AI 16% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.83 danger-index/90 · 0.383 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
07

What is his passing profile?

234
passes attempted
57%
mostly forward
48%
mostly short
Direction
Forward
134 · 57%
Sideways
65 · 28%
Backward
35 · 15%
Length (completed)
Short (<15m)
96 · 48%
Medium
94 · 47%
Long (>30m)
12 · 6%
05

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.

0.550.320.290.280.240.17
own goal left, attacking →
Highest-value routes (xT)
0.55
Central Mid third → Right Wing Att third
7 passes
0.32
Right Half-Space Att third → Central Att third
2 passes
0.29
Left Half-Space Att third → Left Half-Space Att third
1 passes
0.28
Right Half-Space Mid third → Right Half-Space Att third
2 passes
0.24
Central Mid third → Central Att third
2 passes
0.17
Central Mid third → Central Mid third
2 passes
09

Where Does He Receive?

The zones where Manuel Locatelli 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
Central, Middle third
17%
Secondary
Right Half-Space, Middle third
9%
Third
Right Wing, Middle third
These are the zones where he collected the ball most.
10

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Manuel Locatelli 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:
16410511212949182132132221
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.

6%9%14%9%0%0%9%12%21%7%0%0%3%2%4%2%0%
own goal left, attacking →
12

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.

5Key pass
30Progressive
23Long ball
11Switch
By zone — where the pass started → where it landed
17Outside → Inside
116Inside → Inside
27Outside → Outside
42Inside → Outside
By direction
134Forward
35Backward
65Sideways
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 central to the right wing, advancing it forward in the middle third — 7 passes worth 0.55 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays straight through the central in the final third — 2 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 wing in the defensive third: 33% of his 9 touches there are lost (3 times).
33%3/9 lost—6 touches · too few11%2/19 lost—3 touches · too few—5 touches · too few14%3/21 lost13%5/39 lost12%8/64 lost0%0/13 lost—7 touches · too few27%3/11 lost13%2/15 lost0%0/14 lost—5 touches · too few—3 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

63 defensive actions across the season (19.7/90). 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 · 80% won
7
interceptions · 2.2/90
11
recoveries · 3.4/90
9
clearances · 2.8/90
4
blocks
44
avg action height
10
won high (att 3rd)
33
middle third
20
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 23 proactive ball-wins (7.2/90), tackle success 80%. He defends high, stepping out to intercept — suits a high line.
Team

Team context

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

14

Impact on the Team

Juventus's output per match with Manuel Locatelli (3 matches) versus without him (5 matches). Insufficient evidence — the without-sample is only 5 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 (3)
WITHOUT (5)
Δ
goals against /match
0.33
1.40
-1.07
points /match
2.33
1.40
+0.93
goals for /match
1.33
1.40
-0.07
xG for /match
1.57
0.00
+1.57
15

His Share of the Team

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

category
share
him / team
final-third entries
17%
494 / 2935
zone-14 entries
15%
98 / 649
threat added by passing (xT)
13%
96.2 / 717.3
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 258 defensive 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.

Ball-winning 686%Deep-lying playmaker84%Tempo controller83%
Why Ball-winning 6 86%: a weighted blend of ball-winning 83 (weight 40%) + defensive aggression 67 (weight 30%) + progression 99 (weight 15%) + retention 84 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
line-breaking, passing directness, receiving zones, progression, through-balls, final-third threat, transition, creativity
Strong
carrying, retention, ball-winning, crossing, box threat, build-up
Average
press resistance, defensive aggression, dribbling
Weak
territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Line-breaking
100
Passing directness
100
Receiving zones
100
Progression
99
Through-balls ~proxy
98
Final-third threat
96
Transition ~proxy
94
Creativity
90
Carrying
85
Retention
84
Ball-winning
83
Crossing
83
Box threat
80
Build-up
70
Press resistance ~proxy
70
Defensive aggression
67
Dribbling
52
Territory (wide vs central)
15
18

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: 185 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 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.

Elliot Anderson Man City · Premier League · 179 cm / 69 kg
87%
Driven by: transition (14%), progression (10%), final-third threat (10%). Different mechanism — Locatelli more via retention, passing directness; Anderson more via territory (wide vs central), dribbling.
Cristian Cásseres Toulouse · Ligue 1 · 176 cm / 68 kg
85%
Driven by: transition (14%), creativity (13%), final-third threat (11%). Different mechanism — Locatelli more via retention, crossing; Cásseres more via territory (wide vs central).
Rodri Barcelona · La Liga · 190 cm / 90 kg
85%
Driven by: transition (13%), progression (12%), receiving zones (11%). Different mechanism — Locatelli more via passing directness, crossing.
Pierre-Emile Højbjerg Marseille · Ligue 1 · 187 cm / 81 kg
85%
Driven by: transition (13%), final-third threat (10%), passing directness (9%). Different mechanism — Locatelli more via ball-winning, through-balls.
Bryan Cristante Roma · 186 cm / 80 kg
84%
Driven by: transition (19%), progression (11%), receiving zones (11%). Different mechanism — Locatelli more via retention, through-balls; Cristante more via territory (wide vs central), defensive aggression.
Youri Tielemans Man Utd · Premier League · 176 cm / 72 kg
83%
Driven by: creativity (15%), receiving zones (12%), final-third threat (12%). Different mechanism — Locatelli more via ball-winning, retention.
19

Summary

Manuel Locatelli is a ball-winning 6 / deep-lying playmaker: 86% completion, 23 line-breaks and 9.4 progressive passes /90, resisting pressure with 0% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 3 matches (288 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 / deep-lying playmaker — best used in a system built around that identity. His biggest room for growth is defensive aggression — even a modest improvement there would meaningfully lift his overall ball-winning 6 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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