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Player reportSerie A 2026

Scott McTominay

Napoli
Half-space creator CM
45% of actions in the half-spaces
central midtempo controllerprogressionbox-to-box
373
minutes
5 apps
9
progressive passes
2.2/90
91%
pass completion
140 passes
3
key passes
0.72/90
0
box entries
0.00/90
10
final-3rd entries
2.4/90
6
dribbles
50% won
15
possessions lost
1.02 danger/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Scott McTominay has played 5 matches (373 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
Left Half-Space, Middle third — mostly in the middle third (59% of his 140 passes)
91% completion · 140× in 5/5 matches
↓
PROGRESS
drive or pass into the final third
2.2 prog/90 · 9× in 4/5 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.72 key passes /90 · 2 goals · 15× in 2/5 matches
Signature: Receive → Progress → Create / Finish — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: arrive — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
15

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 →
28
passes / match
2.0
dribbles / match
10–50
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (10 at the low end, 50 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.

07

How dangerous are his carries?

Real ball-carries

47 tracked carries (11.3/90, 11 progressive, 441m 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.

6%6%9%4%4%11%9%4%2%4%23%15%2%
progressivelateral/short% of his 47 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 35m
By zone — where the carry started → where it ended
4Outside → Inside
29Inside → Inside
10Outside → Outside
4Inside → Outside
First (29)Second (11)Third (7)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 6 dribbles attempted this season — too little volume to map a location pattern.

03

How does he create chances?

3 key passes (0.72/90), 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:
33%33%33%
chance creation (3)assist (0)% of the selected group's key passes originating in each zone
11

Can he finish?

12 shots · 1.41 xG · 2 goals (+0.59 vs xG). Mostly right-footed. Circle size = xG.

shots  12
on target  10
goals  2
xG  1.41
xG on target  2.30
xG / shot  0.118
Where he shoots from — click an area of the box
09

Where does he become vulnerable?

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

7
attacking third (cheap)
4
middle third
4
own third (dangerous)
Vision AI 47% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.02 danger-index/90 · 0.281 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

Where Does He Receive?

The zones where Scott McTominay 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
18%
Primary
Left Half-Space, Middle third
14%
Secondary
Right Half-Space, Middle third
12%
Third
Central, Middle third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Scott McTominay 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:
3619161218181071061013127
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.

4%7%9%9%4%6%11%7%3%1%2%4%13%11%9%1%
own goal left, attacking →
10

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.

3Key pass
9Progressive
5Long ball
2Switch
By zone — where the pass started → where it landed
18Outside → Inside
53Inside → Inside
24Outside → Outside
33Inside → Outside
By direction
45Forward
43Backward
52Sideways
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 →
Where do his chances come from?
Of 3 key passes, his busiest route is a delivery where he plays straight through the right hs 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 right half-space in the final third: 38% of his 8 touches there are lost (3 times).
—2 touches · too few—4 touches · too few—7 touches · too few—2 touches · too few—7 touches · too few—6 touches · too few0%0/20 lost20%3/15 lost0%0/26 lost0%0/16 lost10%1/10 lost38%3/8 lost—4 touches · too few0%0/9 lost—4 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 47 ball-carries, his dominant tendency is that he carries through central areas (62%). He carries from outside into the middle 4 times and out toward the touchline 4 — balanced between cutting in and holding width.
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
2 · 4%
Progressive / key pass
3 · 6%
Simple pass
37 · 79%
No clean link
5 · 11%
Of 47 carries, 4% flow straight into a shot of his own, 6% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 11% 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.

12

How & where does he defend?

53 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 →
7
tackles · 43% won
2
interceptions · 0.5/90
13
recoveries · 3.1/90
7
clearances · 1.7/90
3
blocks
43
avg action height
11
won high (att 3rd)
20
middle third
22
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 22 proactive ball-wins (5.3/90), tackle success 43%. 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.

13

Impact on the Team

Napoli's output per match with Scott McTominay (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (5)
WITHOUT (3)
Δ
goals for /match
1.80
1.33
+0.47
xG for /match
2.02
0.00
+2.02
goals against /match
1.20
1.33
-0.13
points /match
1.40
1.33
+0.07
14

His Share of the Team

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

category
share
him / team
goals
22%
2 / 9
expected goals (xG)
19%
12.7 / 66.0
shots
18%
113 / 635
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

16

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 383 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 controller69%Transition runner60%Deep-lying playmaker59%Box-to-box runner40%
Why Tempo controller 69%: a weighted blend of retention 78 (weight 35%) + build-up 67 (weight 30%) + press resistance 66 (weight 20%) + progression 23 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
box threat, retention
Average
build-up, press resistance, dribbling, carrying, defensive aggression, receiving zones, transition
Weak
creativity, ball-winning, crossing, final-third threat, passing directness, progression, territory (wide vs central), line-breaking, through-balls
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
81
Retention
78
Build-up
67
Press resistance ~proxy
66
Dribbling
64
Carrying
62
Defensive aggression
59
Receiving zones
56
Transition ~proxy
45
Creativity
36
Ball-winning
31
Crossing
30
Final-third threat
26
Passing directness
25
Progression
23
Territory (wide vs central)
12
Line-breaking
9
Through-balls ~proxy
3
17

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: 193 cm / 88 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.

Assan Ouédraogo RBL · Bundesliga · 191 cm / 84 kg
82%
Driven by: through-balls (12%), line-breaking (11%), territory (wide vs central) (9%). Different mechanism — McTominay more via build-up, defensive aggression; Ouédraogo more via creativity, dribbling.
Vincent Marchetti Paris FC · Ligue 1 · 181 cm / 70 kg
74%
Driven by: through-balls (14%), retention (12%), crossing (11%). Different mechanism — McTominay more via defensive aggression; Marchetti more via passing directness, dribbling.
Simon Sohm Venezia · 188 cm / 85 kg
74%
Driven by: through-balls (15%), line-breaking (10%), retention (9%). Different mechanism — McTominay more via box threat, carrying.
Luka Sucic Real Sociedad · La Liga · 185 cm / 78 kg
73%
Driven by: box threat (16%), ball-winning (14%), territory (wide vs central) (9%). Different mechanism — McTominay more via receiving zones, retention; Sucic more via through-balls, line-breaking.
Ismaël Koné Sassuolo 25/26 · 188 cm / 76 kg
69%
Driven by: through-balls (14%), retention (13%), ball-winning (13%). Different mechanism — McTominay more via defensive aggression, box threat; Koné more via passing directness, crossing.
Marco Brescianini Fiorentina · 188 cm / 80 kg
67%
Driven by: line-breaking (16%), through-balls (15%), ball-winning (11%). Different mechanism — McTominay more via receiving zones, defensive aggression; Brescianini more via territory (wide vs central).
18

Summary

Scott McTominay is a tempo controller / transition runner: 2.2 progressive passes, 0.72 key passes /90, 0 box entries, 2 goals from 1.41 xG. A box-to-box contributor across every phase.

Based on 5 matches (373 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / transition runner — 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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