Thin sample this season. Alisson Santos has played 4 matches (226 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 Wing, Attacking third — mostly in the attacking third (86% of his 86 passes)
Signature: receive wide left → beat the full-back → carry into the right-foot channel → deliver or shoot. Stop the 1v1 on the left and you starve the chain.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
54 tracked carries (21.5/90, 26 progressive, 771m 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 54 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 12m, longest 45m
By zone — where the carry started → where it ended
First (28)Second (15)Third (9)Fourth (2)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Alisson Santos's signature is the dribble. Does he carry outside (down the left wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 4.78 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 17%
OUTSIDE 83%
Dribble location — 2 inside · 10 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
2 · 17%
Left Wing
10 · 83%
Vision AI 83% of his dribbles are in the wide left lane — he attacks the full-back on the outside, then threatens to cut inside onto his right foot.
03
How does he create chances?
4 key passes (1.59/90), 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 (4)from the right (0)of 4 key passes landing in the final thirdattacking ↑ toward goal
08
Can he finish?
14 shots · 0.60 xG · 0 goals (-0.60 vs xG). Mostly right-footed. Circle size = xG.
shots 14 on target 11 goals 0 xG 0.60 xG on target 1.16 xG / shot 0.043
Where he shoots from — click an area of the box
09
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.
30
attacking third (cheap)
2
middle third
1
own third (dangerous)
Vision AI 91% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.21 danger-index/90 · 0.092 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
07
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 left wing toward the central in the final third — 2 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 half-space in the final third: 44% of his 18 touches there are lost (8 times).
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 54 ball-carries, his dominant tendency is that he drives along the touchline (61%). He carries from outside into the middle 15 times and out toward the touchline 3 — a genuine inside forward who cuts in with the ball.
05
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
6 · 11%
Progressive / key pass
6 · 11%
Simple pass
25 · 46%
No clean link
17 · 31%
Of 54 carries, 11% flow straight into a shot of his own, 11% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 31% have no clean link to a next touch of his own close to where the carry ended.
06
Crosses & Cutbacks
6 crosses (2.39/90, 5 completed) and 4 cutbacks (1.59/90, 2 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.
Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Team
Team context
How much of the team runs through him, and what changes without him.
Napoli's output per match with Alisson Santos (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
1.25
2.00
-0.75
xG for /match
1.80
0.00
+1.80
goals against /match
1.50
1.00
+0.50
points /match
0.75
2.00
-1.25
11
His Share of the Team
Of everything Napoli produced this season, the categories where the biggest share ran through Alisson Santos specifically — his share of the team total, not a per-90 rate.
category
share
him / team
successful take-ons
13%
38 / 285
shots
7%
43 / 635
expected assists (xA)
5%
1.3 / 25.3
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 180 wingers 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
Carrying
100
Dribbling
98
Press resistance ~proxy
79
Territory (wide vs central)
75
Box threat
74
Receiving zones
72
Through-balls ~proxy
67
Creativity
65
Progression
63
Final-third threat
60
Line-breaking
58
Retention
53
Crossing
51
Transition ~proxy
42
Ball-winning
39
Defensive aggression
34
Build-up
33
Passing directness
2
13
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: 177 cm / 82 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.
Roony Bardghji Barcelona · La Liga 25/26 · 173 cm / 73 kg
73%
Driven by: dribbling (18%), passing directness (15%), press resistance (15%). Different mechanism — Santos more via through-balls, ball-winning; Bardghji more via retention, build-up.
Vinícius Júnior Real Madrid · La Liga · 176 cm / 77 kg
66%
Driven by: carrying (22%), passing directness (13%), box threat (12%). Different mechanism — Santos more via territory (wide vs central), dribbling; Júnior more via line-breaking, receiving zones.
Khvicha Kvaratskhelia PSG · Ligue 1 · 183 cm / 76 kg
66%
Driven by: dribbling (18%), press resistance (16%), passing directness (16%). Different mechanism — Santos more via territory (wide vs central); Kvaratskhelia more via retention, crossing.
Jérémy Doku Man City · Premier League · 173 cm / 82 kg
65%
Driven by: carrying (19%), dribbling (17%), press resistance (14%). Different mechanism — Santos more via territory (wide vs central), box threat; Doku more via crossing, line-breaking.
Francisco Conceição Juventus · 166 cm / 67 kg
62%
Driven by: carrying (22%), passing directness (18%), dribbling (18%). Different mechanism — Santos more via territory (wide vs central); Conceição more via defensive aggression, retention.
Ernest Poku Leverkusen · Bundesliga 25/26 · 173 cm / 63 kg
60%
Driven by: passing directness (27%), carrying (22%), press resistance (10%). Different mechanism — Santos more via dribbling, through-balls; Poku more via retention, build-up.
14
Summary
Alisson Santos is a wide, outside-first left carrier: 83% of dribbles in the wing lane, 71% of passes from wide — but 56% land inside. 1.6 progressive passes and 1.59 key passes /90 plus 0 goals from 0.60 xG. A carry-and-deliver threat.
Based on 4 matches (226 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a wide dribbler / isolator / inside forward — best used in a system built around that identity.
His biggest room for growth is crossing — even a modest improvement there would meaningfully lift his overall wide dribbler / isolator 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.