Thin sample this season. Alessandro Zanoli has played 2 matches (53 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
Right Wing, Attacking third — mostly in the attacking third (54% of his 50 passes)
82% completion · 50× in 2/2 matches
↓
PROGRESS
drive or pass into the final third
3.4 prog/90 · 2× in 2/2 matches
↓
CREATE / FINISH
cut-back or shot from inside
3.40 key passes /90 · 0 goals · 3× in 1/2 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 — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — 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.
17 tracked carries (28.9/90, 3 progressive, 160m 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 17 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 23m
By zone — where the carry started → where it ended
First (17)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.
02
How does he create chances?
2 key passes (3.40/90), 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 (2)assist (0)% of the selected group's key passes originating in each zone
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 2 key passes, his busiest route is a delivery where he plays straight through 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 wing in the final third: 24% of his 21 touches there are lost (5 times).
Team
Team context
How much of the team runs through him, and what changes without him.
Udinese's output per match with Alessandro Zanoli (2 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (2)
WITHOUT (6)
Δ
goals for /match
0.00
1.50
-1.50
xG for /match
1.25
0.00
+1.25
goals against /match
2.00
2.33
-0.33
points /match
0.00
0.67
-0.67
06
His Share of the Team
Of everything Udinese produced this season, the categories where the biggest share ran through Alessandro Zanoli specifically — his share of the team total, not a per-90 rate.
category
share
him / team
box entries
7%
32 / 475
successful take-ons
6%
16 / 275
progressive passes
5%
88 / 1628
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 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.
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
95
Through-balls ~proxy
87
Dribbling
77
Crossing
70
Line-breaking
62
Press resistance ~proxy
57
Progression
56
Final-third threat
46
Ball-winning
43
Retention
39
Creativity
39
Carrying
38
Build-up
35
Defensive aggression
34
Receiving zones
29
Transition ~proxy
24
Passing directness
19
Box threat
18
08
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: 188 cm / 74 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.
Daniel Svensson Borussia Dortmund · Bundesliga · 183 cm / 72 kg
82%
Driven by: territory (wide vs central) (20%), passing directness (17%), transition (16%). Different mechanism — Zanoli more via dribbling, through-balls.
Rafa Obrador Sassuolo · 181 cm / 72 kg
79%
Driven by: territory (wide vs central) (21%), box threat (16%), passing directness (15%). Different mechanism — Zanoli more via dribbling, press resistance; Obrador more via carrying.
Arsène Kouassi Lorient · Ligue 1 · 178 cm
77%
Driven by: territory (wide vs central) (18%), box threat (14%), passing directness (13%). Different mechanism — Zanoli more via defensive aggression; Kouassi more via carrying, transition.
Devyne Rensch Roma · 181 cm / 75 kg
71%
Driven by: transition (22%), territory (wide vs central) (19%), box threat (15%). Different mechanism — Zanoli more via dribbling, carrying; Rensch more via ball-winning.
Lorenzo Bernasconi Atalanta · 190 cm / 72 kg
69%
Driven by: territory (wide vs central) (18%), through-balls (12%), box threat (12%). Different mechanism — Zanoli more via dribbling, press resistance; Bernasconi more via progression, final-third threat.
Juanlu Sánchez Bournemouth · Premier League · 183 cm / 68 kg
69%
Driven by: territory (wide vs central) (21%), box threat (14%), crossing (14%). Different mechanism — Sánchez more via transition, carrying.
09
Summary
Alessandro Zanoli is a deep-lying playmaker: 3.4 progressive passes, 3.40 key passes /90, 1 box entries, 0 goals from 0.03 xG. A box-to-box contributor across every phase.
Based on 2 matches (53 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a deep-lying playmaker — 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 deep-lying playmaker 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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