Thin sample this season. Zakaria Aboukhlal has played 4 matches (68 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 Half-Space, Middle third — between the lines — mostly in the attacking third (40% of his 20 passes)
60% completion · 20× in 4/4 matches
↓
TURN / BEAT MAN
face forward in the pocket
67% won · 6× in 4/4 matches
↓
FINISH
arrive and shoot from central zones
0 goals · 0.37 xG · 4× in 3/4 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 — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
Team
Team context
How much of the team runs through him, and what changes without him.
Torino's output per match with Zakaria Aboukhlal (4 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 (4)
WITHOUT (5)
Δ
goals for /match
2.00
1.20
+0.80
xG for /match
1.06
1.00
+0.06
goals against /match
1.50
1.60
-0.10
points /match
1.50
1.40
+0.10
03
His Share of the Team
Of everything Torino produced this season, the categories where the biggest share ran through Zakaria Aboukhlal specifically — his share of the team total, not a per-90 rate.
category
share
him / team
successful take-ons
3%
10 / 287
tackles
3%
23 / 704
half-space entries
2%
19 / 886
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)31%Half-space creator26%
Why Advanced playmaker (8) 31%: a weighted blend of progression 66 (weight 25%) + final-third threat 42 (weight 25%) + creativity 22 (weight 35%) + box threat 16 (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
Territory (wide vs central)
97
Passing directness
92
Transition ~proxy
74
Ball-winning
68
Progression
66
Carrying
63
Build-up
58
Dribbling
56
Line-breaking
56
Defensive aggression
50
Through-balls ~proxy
44
Final-third threat
42
Press resistance ~proxy
41
Receiving zones
28
Crossing
26
Retention
23
Creativity
22
Box threat
16
05
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: 179 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.
Mattia Felici Cagliari · 182 cm / 75 kg
64%
Driven by: territory (wide vs central) (33%), retention (19%), box threat (16%). Different mechanism — Aboukhlal more via passing directness, transition; Felici more via creativity, crossing.
Tete Morente Elche · La Liga · 180 cm / 76 kg
63%
Driven by: territory (wide vs central) (24%), box threat (22%), retention (14%). Different mechanism — Aboukhlal more via carrying, dribbling; Morente more via line-breaking, crossing.
Tyrhys Dolan Espanyol · La Liga · 164 cm / 63 kg
59%
Driven by: territory (wide vs central) (18%), box threat (17%), crossing (12%). Different mechanism — Aboukhlal more via passing directness, line-breaking; Dolan more via creativity.
Cyril Ngonge Monza · 179 cm / 73 kg
58%
Driven by: box threat (16%), crossing (16%), creativity (14%). Different mechanism — Aboukhlal more via build-up, territory (wide vs central).
Alex Sancris Getafe · La Liga 25/26 · 177 cm / 72 kg
58%
Driven by: territory (wide vs central) (19%), box threat (19%), retention (13%). Different mechanism — Aboukhlal more via passing directness, build-up.
Adam Daghim Hoffenheim · Bundesliga · 189 cm / 80 kg
57%
Driven by: territory (wide vs central) (24%), retention (19%), box threat (18%). Different mechanism — Aboukhlal more via build-up, press resistance; Daghim more via through-balls, crossing.
06
Summary
Zakaria Aboukhlal is an advanced playmaker (8): 1.32 key passes /90, 0.0 progressive passes, 0 goals from 0.37 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 4 matches (68 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.
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