Thin sample this season. Carles Aleñá has played 8 matches (255 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 — between the lines — mostly in the middle third (57% of his 129 passes)
78% completion · 129× in 8/8 matches
↓
TURN / BEAT MAN
face forward in the pocket
40% won · 5× in 4/8 matches
↓
CREATE
through-ball, cut-back, key pass
2.12/90 · 6× in 3/8 matches
↓
FINISH
arrive and shoot from central zones
0 goals · 0.23 xG · 3× in 3/8 matches
Signature: receive between the lines → turn → create or finish.
13
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 →
16
passes / match
1.2
dribbles / match
6–37
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (6 at the low end, 37 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.
20 tracked carries (7.1/90, 4 progressive, 170m 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 20 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 18m
By zone — where the carry started → where it ended
First (20)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 5 dribbles attempted this season — too little volume to map a location pattern.
02
How does he create chances?
6 key passes (2.12/90), 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 (3)from the right (1)of 4 key passes landing in the final thirdattacking ↑ toward goal
07
Where does he become vulnerable?
32 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
14
attacking third (cheap)
14
middle third
4
own third (dangerous)
Vision AI 44% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.11 danger-index/90 · 0.276 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
04
Where Does He Receive?
The zones where Carles Aleñá 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).
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
20%
Primary
Left Half-Space, Middle third
16%
Secondary
Left Wing, Attacking third
13%
Third
Central, Middle third
These are the zones where he collected the ball most.
05
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Carles Aleñá 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:
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.
own goal left, attacking →
08
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.
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 6 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 wing in the final third: 32% of his 22 touches there are lost (7 times).
34 defensive actions across the season (12.0/90). 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 · 100% won
1
interceptions · 0.4/90
7
recoveries · 2.5/90
2
clearances · 0.7/90
6
blocks
49
avg action height
8
won high (att 3rd)
15
middle third
11
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 12 proactive ball-wins (4.2/90), tackle success 100%. 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 · 5.65/90
09
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Carles Aleñá keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.6, 2m)
0.63
3.0
0.00
0%
Mid press (PPDA 4.4, 2m)
0.52
1.7
0.87
33%
Low press (PPDA 5.4, 4m)
1.72
3.0
3.69
50%
Team
Team context
How much of the team runs through him, and what changes without him.
Alaves's output per match with Carles Aleñá (8 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (8)
WITHOUT (2)
Δ
goals for /match
1.50
1.00
+0.50
xG for /match
1.27
0.90
+0.37
goals against /match
1.12
1.00
+0.12
points /match
1.12
1.50
-0.38
12
His Share of the Team
Of everything Alaves produced this season, the categories where the biggest share ran through Carles Aleñá specifically — his share of the team total, not a per-90 rate.
category
share
him / team
box entries
14%
60 / 418
zone-14 entries
13%
28 / 223
half-space entries
10%
81 / 797
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.
Advanced playmaker (8)53%Half-space creator50%
Why Advanced playmaker (8) 53%: a weighted blend of final-third threat 75 (weight 25%) + creativity 48 (weight 35%) + progression 52 (weight 25%) + box threat 38 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
box threat, territory (wide vs central), transition, dribbling, carrying
Unknown
aerial ability, marking, off-ball running — not in event data
Final-third threat
75
Crossing
75
Retention
66
Passing directness
65
Through-balls ~proxy
65
Receiving zones
63
Build-up
61
Line-breaking
56
Press resistance ~proxy
53
Progression
52
Ball-winning
49
Creativity
48
Defensive aggression
41
Box threat
38
Territory (wide vs central)
33
Transition ~proxy
33
Dribbling
31
Carrying
12
15
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: 180 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 La Liga, Bundesliga, Ligue 1, Premier League and Serie A, 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.
Sebastian Nanasi Strasbourg · Ligue 1 · 178 cm / 71 kg
76%
Driven by: carrying (28%), transition (19%), crossing (12%). Different mechanism — Aleñá more via ball-winning, final-third threat.
Weston McKennie Juventus · Serie A · 185 cm / 85 kg
62%
Driven by: carrying (25%), crossing (10%), transition (9%). Different mechanism — McKennie more via territory (wide vs central), line-breaking.
Rubén García Osasuna · 171 cm / 72 kg
59%
Driven by: carrying (32%), crossing (21%), transition (18%). Different mechanism — Aleñá more via passing directness, retention; García more via territory (wide vs central), ball-winning.
Raphaël Guerreiro Bayern · Bundesliga 25/26 · 170 cm / 71 kg
54%
Driven by: dribbling (18%), carrying (15%), defensive aggression (12%). Different mechanism — Aleñá more via passing directness, through-balls; Guerreiro more via receiving zones, creativity.
Luismi Cruz Deportivo · 166 cm / 62 kg
53%
Driven by: crossing (21%), final-third threat (18%), carrying (12%). Different mechanism — Cruz more via creativity, dribbling.
Aleksandr Golovin Monaco · Ligue 1 · 178 cm / 69 kg
53%
Driven by: crossing (16%), carrying (12%), receiving zones (11%). Different mechanism — Golovin more via dribbling, carrying.
16
Summary
Carles Aleñá is an advanced playmaker (8): 2.12 key passes /90, 2.5 progressive passes, 0 goals from 0.23 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 8 matches (255 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) — 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 advanced playmaker (8) 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.