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Player reportSerie A 2026

Stanislav Lobotka

Napoli
Half-space creator CM
51% of actions in the half-spaces
Capability Analysis
Successful Dribble24%vs 17 defensive mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.1712%
Take-on success40.0%35%
Progression65%vs 17 defensive mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.2853%
Line-breaking passes /901.2753%
Threat added by passing /901.04xT59%
Pass accuracy92.37%94%
Ball-Carrying46%vs 17 defensive mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.7653%
Carry distance /90153.34m82%
Successful take-ons /900.1712%
Take-on success40.0%35%
Chance Creation32%vs 17 defensive mids
"Does he create real chances for others?"
Expected assists /900.02xA6%
Through balls /900.00%
Threat added by passing /901.04xT59%
Box entries (pass) /900.9165%
central midtempo controllerprogressionbox-to-box
634
minutes
8 apps
24
progressive passes
3.4/90
92%
pass completion
370 passes
5
key passes
0.71/90
5
box entries
0.71/90
49
final-3rd entries
7.0/90
4
dribbles
50% won
33
possessions lost
2.16 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 (61% of his 370 passes)
92% completion · 370× in 8/8 matches
↓
PROGRESS
drive or pass into the final third
3.4 prog/90 · 24× in 7/8 matches
↓
ARRIVE
get into the box late
5 key passes · 5× in 3/8 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.71 key passes /90 · 1 goals · 10× in 4/8 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
19

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 →
46
passes / match
1.3
dribbles / match
4–76
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (4 at the low end, 76 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

102 tracked carries (14.5/90, 22 progressive, 1002m 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%6%4%7%6%1%10%13%13%8%1%4%6%13%8%1%
progressivelateral/short% of his 102 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 29m
By zone — where the carry started → where it ended
9Outside → Inside
80Inside → Inside
9Outside → Outside
4Inside → Outside
First (31)Second (28)Third (27)Fourth (16)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 4 dribbles attempted this season — too little volume to map a location pattern.

07

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 →RWRHSCLHSLWRW1850%922%428%5RHS8527%2336%3128%247%61%1C1208%1028%3324%2922%2718%21LHS872%26%526%2326%2339%34LW2914%421%666%19FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left half-space in the final third → central areas in the final third — 4 progressive passes (19% of his progression) at 0.051 xT each. He moves it inside.

His progression is inward: 62% of progressive passes move the ball toward the middle versus 0% 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: 7 line-breaking passes and 49 final-third entries, 1.0 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%3%4%11%6%1%1%5%11%20%11%0%2%5%5%9%5%1%
completedincomplete370 passes · any zone → any zone · own goal left, attacking →
370
passes
92%
completed
31
lost
Vision AIIn line with his 92% season completion rate.
05

How does he progress play?

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

24
progressive · 3.4/90
49
final-third entries · 7.0/90
5
box entries · 0.71/90
16
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.
03

How does he create chances?

5 key passes (0.71/90), 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:
40%40%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
13

Where does he become vulnerable?

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

7
attacking third (cheap)
14
middle third
12
own third (dangerous)
Vision AI 21% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.16 danger-index/90 · 0.460 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
12

What is his passing profile?

370
passes attempted
41%
mostly sideways
51%
mostly short
Direction
Forward
146 · 39%
Sideways
152 · 41%
Backward
72 · 19%
Length (completed)
Short (<15m)
173 · 51%
Medium
151 · 45%
Long (>30m)
15 · 4%
11

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.

0.230.220.190.140.140.12
own goal left, attacking →
Highest-value routes (xT)
0.23
Left Half-Space Att third → Left Half-Space Att third
1 passes
0.22
Right Wing Att third → Right Wing Att third
2 passes
0.19
Left Half-Space Mid third → Right Half-Space Att third
1 passes
0.14
Left Wing Att third → Left Wing Att third
1 passes
0.14
Right Half-Space Mid third → Right Half-Space Att third
1 passes
0.12
Central Mid third → Central Att third
1 passes
08

Where Does He Receive?

The zones where Stanislav Lobotka 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
24%
Primary
Central, Middle third
15%
Secondary
Right Half-Space, Middle third
14%
Third
Left Half-Space, Middle 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 Stanislav Lobotka 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:
719183519431942754324101640212
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%3%4%11%6%1%1%5%11%20%11%0%2%5%5%9%5%1%
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.

5Key pass
1Cutback
24Progressive
15Long ball
14Switch
By zone — where the pass started → where it landed
19Outside → Inside
201Inside → Inside
28Outside → Outside
91Inside → Outside
By direction
146Forward
72Backward
152Sideways
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 left hs in the final third — 1 passes worth 0.23 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays straight through the central, advancing it forward in the middle 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 left wing in the defensive third: 27% of his 11 touches there are lost (3 times).
—5 touches · too few7%1/14 lost0%0/9 lost26%5/19 lost27%3/11 lost11%1/9 lost7%4/55 lost7%6/91 lost4%2/54 lost0%0/15 lost—7 touches · too few19%5/26 lost0%0/26 lost9%2/23 lost—6 touches · too fewRWRHSCLHSLWDEFMIDATT
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 102 ball-carries, his dominant tendency is that he carries through central areas (78%). He carries from outside into the middle 9 times and out toward the touchline 4 — 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
0 · 0%
Progressive / key pass
5 · 5%
Simple pass
89 · 87%
No clean link
8 · 8%
Of 102 carries, 0% 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. 8% 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.

15

How & where does he defend?

92 defensive actions across the season (13.1/90). 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 →
10
tackles · 50% won
4
interceptions · 0.6/90
35
recoveries · 5.0/90
11
clearances · 1.6/90
2
blocks
37
avg action height
6
won high (att 3rd)
45
middle third
41
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 49 proactive ball-wins (7.0/90), tackle success 50%. He defends mostly around the middle third.
16

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Stanislav Lobotka keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.6, 2m)
0.44
2.4
0.61
0%
Mid press (PPDA 4.7, 2m)
1.43
3.2
0.80
0%
Low press (PPDA 7.7, 4m)
0.92
3.9
0.72
67%
Team

Team context

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

17

Impact on the Team

Insufficient sample: Stanislav Lobotka played nearly every Napoli 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.

18

His Share of the Team

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

category
share
him / team
zone-14 entries
16%
59 / 380
half-space entries
11%
151 / 1338
ball recoveries
10%
158 / 1635
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

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.

Tempo controller80%Deep-lying playmaker74%Advanced playmaker (8)45%Transition runner44%
Why Tempo controller 80%: a weighted blend of retention 88 (weight 35%) + build-up 89 (weight 30%) + press resistance 57 (weight 20%) + progression 45 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, build-up, retention
Strong
passing directness
Average
transition, press resistance, creativity, final-third threat, carrying, progression, crossing, defensive aggression
Weak
line-breaking, ball-winning, through-balls, dribbling, box threat, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
89
Build-up
89
Retention
88
Passing directness
78
Transition ~proxy
64
Press resistance ~proxy
57
Creativity
56
Final-third threat
56
Carrying
52
Progression
45
Crossing
44
Defensive aggression
43
Line-breaking
38
Ball-winning
38
Through-balls ~proxy
32
Dribbling
23
Box threat
12
Territory (wide vs central)
2
21

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: 168 cm / 68 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.

Máximo Perrone Como · 177 cm / 72 kg
88%
Driven by: build-up (23%), territory (wide vs central) (18%), retention (15%). Different mechanism — Perrone more via box threat, ball-winning.
Fran Beltrán Girona · La Liga 25/26 · 170 cm / 66 kg
85%
Driven by: build-up (19%), territory (wide vs central) (16%), retention (15%). Different mechanism — Lobotka more via line-breaking; Beltrán more via ball-winning, carrying.
Marc Casadó Deportivo · La Liga · 171 cm / 65 kg
83%
Driven by: build-up (23%), territory (wide vs central) (18%), receiving zones (12%). Different mechanism — Lobotka more via passing directness, press resistance; Casadó more via box threat.
Reda Belahyane Lazio · 169 cm / 53 kg
78%
Driven by: box threat (19%), retention (13%), build-up (12%). Different mechanism — Lobotka more via receiving zones, build-up; Belahyane more via territory (wide vs central), ball-winning.
Miguel Román Celta Vigo · La Liga · 178 cm / 70 kg
77%
Driven by: territory (wide vs central) (22%), build-up (15%), box threat (13%). Different mechanism — Lobotka more via retention, press resistance; Román more via line-breaking.
Amadou Haidara Lens · Ligue 1 · 175 cm / 72 kg
68%
Driven by: territory (wide vs central) (17%), box threat (17%), dribbling (14%). Different mechanism — Lobotka more via carrying, transition.
22

Summary

Stanislav Lobotka is a tempo controller / deep-lying playmaker: 3.4 progressive passes, 0.71 key passes /90, 5 box entries, 1 goals from 0.39 xG. A box-to-box contributor across every phase.

Based on 8 matches (634 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / deep-lying playmaker — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall tempo controller 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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