Thin sample this season. Antonio Vergara has played 4 matches (151 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, Attacking third — between the lines — mostly in the attacking third (49% of his 37 passes)
76% completion · 37× in 4/4 matches
↓
TURN / BEAT MAN
face forward in the pocket
33% won · 3× in 2/4 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 0.74 xG · 3× in 2/4 matches
Signature: Receive → Turn / Beat Man → 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: create — 2× (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.
2 key passes (1.19/90), 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
Box deliveries — key passes reaching the final third, by flank
from the left (1)from the right (1)of 2 key passes landing in the final thirdattacking ↑ toward goal
31 defensive actions across the season (18.5/90). 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 · 70% won
2
interceptions · 1.2/90
9
recoveries · 5.4/90
3
clearances · 1.8/90
2
blocks
52
avg action height
12
won high (att 3rd)
9
middle third
10
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 21 proactive ball-wins (12.5/90), tackle success 70%. 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.
16
attacking-half actions · 9.54/90
Team
Team context
How much of the team runs through him, and what changes without him.
Napoli's output per match with Antonio Vergara (4 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (4)
WITHOUT (4)
Δ
goals for /match
2.00
1.25
+0.75
xG for /match
1.65
0.76
+0.89
goals against /match
1.50
1.00
+0.50
points /match
1.75
1.00
+0.75
05
His Share of the Team
Of everything Napoli produced this season, the categories where the biggest share ran through Antonio Vergara specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
10%
1 / 10
tackles
4%
22 / 519
successful take-ons
3%
9 / 285
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 247 attacking 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.
Half-space creator33%Advanced playmaker (8)29%
Why Half-space creator 33%: a weighted blend of creativity 40 (weight 40%) + final-third threat 36 (weight 30%) + dribbling 40 (weight 15%) + box threat 32 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Ball-winning
88
Defensive aggression
64
Crossing
61
Through-balls ~proxy
58
Transition ~proxy
56
Passing directness
53
Build-up
51
Creativity
40
Dribbling
40
Retention
40
Press resistance ~proxy
38
Final-third threat
36
Territory (wide vs central)
36
Carrying
35
Box threat
32
Receiving zones
28
Progression
25
Line-breaking
19
07
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: 182 cm / 70 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.
Brenden Aaronson Leeds · Premier League · 177 cm / 69 kg
82%
Driven by: ball-winning (25%), progression (15%), line-breaking (14%). Different mechanism — Vergara more via through-balls, creativity.
Jaidon Anthony Brentford · Premier League · 183 cm / 70 kg
72%
Driven by: ball-winning (25%), receiving zones (17%), line-breaking (16%). Different mechanism — Vergara more via defensive aggression, ball-winning.
Ramon Terrats Espanyol · La Liga · 181 cm / 71 kg
69%
Driven by: progression (13%), defensive aggression (10%), box threat (9%). Different mechanism — Vergara more via carrying, ball-winning; Terrats more via passing directness, through-balls.
Kareem Tunde Levante · La Liga · 177 cm
66%
Driven by: ball-winning (21%), progression (14%), line-breaking (12%). Different mechanism — Vergara more via through-balls, creativity; Tunde more via territory (wide vs central), defensive aggression.
Connor Metcalfe St. Pauli · Bundesliga 25/26 · 183 cm / 75 kg
63%
Driven by: receiving zones (17%), ball-winning (16%), line-breaking (13%). Different mechanism — Vergara more via through-balls, ball-winning; Metcalfe more via final-third threat, progression.
Brennan Johnson Everton · Premier League · 186 cm / 73 kg
57%
Driven by: line-breaking (15%), progression (15%), receiving zones (12%). Different mechanism — Vergara more via ball-winning, crossing; Johnson more via territory (wide vs central).
08
Summary
Antonio Vergara is a half-space creator: 1.19 key passes /90, 2.4 progressive passes, 1 goals from 0.74 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 4 matches (151 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator — best used in a system built around that identity.
His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall half-space creator 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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