Thin sample this season. Nicolò Zaniolo has played 3 matches (165 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.
Signature: Link → Finish — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 0× (insufficient confidence, hidden — not enough evidence yet); convert — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
21 tracked carries (11.5/90, 5 progressive, 300m 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.
progressivelateral/short% of his 21 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 45m
By zone — where the carry started → where it ended
First (21)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Does he drop to link or stay central? Touches by channel. Season rate: 4.91 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 100%
OUTSIDE 0%
Dribble location — 9 inside · 0 outside
Right Wing
0 · 0%
Right Half-Space
5 · 56%
Central
2 · 22%
Left Half-Space
2 · 22%
Left Wing
0 · 0%
Vision AI His touches are central and high — a penalty-box striker.
02
How does he create chances?
4 key passes (2.18/90), 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:
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (1)from the right (3)of 4 key passes landing in the final thirdattacking ↑ toward goal
04
Where does he become vulnerable?
23 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
17
attacking third (cheap)
5
middle third
1
own third (dangerous)
Vision AI 74% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.31 danger-index/90 · 0.184 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 →
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he plays inside from the right wing toward the right hs in the final 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 middle third: 38% of his 8 touches there are lost (3 times).
20 defensive actions across the season (10.9/90). 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 →
4
tackles · 75% won
1
interceptions · 0.5/90
6
recoveries · 3.3/90
0
clearances · 0.0/90
1
blocks
53
avg action height
6
won high (att 3rd)
10
middle third
4
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 11 proactive ball-wins (6.0/90), tackle success 75%. He defends high, stepping out to intercept — suits a high line.
Defensive work in the attacking half
Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.
13
attacking-half actions · 7.09/90
Team
Team context
How much of the team runs through him, and what changes without him.
Udinese's output per match with Nicolò Zaniolo (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. A proper on-off model needs many more minutes.
WITH (3)
WITHOUT (5)
Δ
goals for /match
0.33
1.60
-1.27
xG for /match
1.38
0.00
+1.38
goals against /match
1.33
2.80
-1.47
points /match
0.33
0.60
-0.27
08
His Share of the Team
Of everything Udinese produced this season, the categories where the biggest share ran through Nicolò Zaniolo specifically — his share of the team total, not a per-90 rate.
category
share
him / team
zone-14 entries
16%
33 / 207
shots
16%
78 / 502
successful take-ons
13%
37 / 276
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 299 strikers 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.
Why Transition runner 74%: a weighted blend of transition 93 (weight 45%) + box threat 54 (weight 25%) + defensive aggression 43 (weight 30%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Carrying
96
Final-third threat
94
Transition ~proxy
93
Through-balls ~proxy
93
Progression
92
Line-breaking
90
Receiving zones
88
Creativity
87
Passing directness
86
Territory (wide vs central)
86
Ball-winning
85
Dribbling
71
Crossing
65
Box threat
54
Press resistance ~proxy
46
Defensive aggression
43
Build-up
42
Retention
30
10
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: 190 cm / 79 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.
Georginio Rutter Brighton · Premier League · 182 cm / 83 kg
90%
Driven by: transition (17%), final-third threat (11%), ball-winning (11%). Different mechanism — Zaniolo more via territory (wide vs central), box threat.
Sebastiano Esposito Sassuolo · 183 cm / 76 kg
87%
Driven by: transition (14%), final-third threat (11%), ball-winning (11%). Different mechanism — Zaniolo more via dribbling, box threat; Esposito more via build-up.
Matthis Abline Monaco · Ligue 1 · 176 cm / 67 kg
86%
Driven by: transition (14%), final-third threat (11%), carrying (11%). Different mechanism — Zaniolo more via receiving zones, ball-winning.
Karim Adeyemi Barcelona · La Liga · 180 cm / 75 kg
86%
Driven by: carrying (11%), transition (11%), creativity (11%). Different mechanism — Zaniolo more via passing directness, ball-winning; Adeyemi more via retention.
Sheraldo Becker Mainz · Bundesliga · 180 cm / 77 kg
85%
Driven by: transition (14%), progression (12%), creativity (10%). Different mechanism — Zaniolo more via dribbling, ball-winning.
Issa Soumaré Rennes · Ligue 1 · 182 cm / 78 kg
84%
Driven by: transition (16%), progression (11%), ball-winning (10%). Different mechanism — Zaniolo more via receiving zones, creativity.
11
Summary
Nicolò Zaniolo is a transition runner / pressing forward: 0 goals from 0.40 xG (-0.40 vs expected), 6 shots, 0 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 3 matches (165 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a transition runner / pressing forward — 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 transition runner 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.