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Player reportSerie A 2026

Youssef Maleh

Lecce
Half-space creator CM
35% of actions in the half-spaces
Capability Analysis
Successful Dribble18%vs 34 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.3315%
Take-on success33.33%21%
Progression21%vs 34 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.724%
Line-breaking passes /901.0418%
Threat added by passing /900.66xT26%
Pass accuracy74.7%15%
Ball-Carrying11%vs 34 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /901.460%
Carry distance /9047.65m9%
Successful take-ons /900.3315%
Take-on success33.33%21%
Chance Creation32%vs 34 central mids
"Does he create real chances for others?"
Expected assists /900.1xA68%
Through balls /900.00%
Threat added by passing /900.66xT26%
Box entries (pass) /901.032%
central midtransition runnerprogressionbox-to-box
521
minutes
8 apps
3
progressive passes
0.5/90
78%
pass completion
200 passes
5
key passes
0.86/90
4
box entries
0.69/90
10
final-3rd entries
1.7/90
7
dribbles
14% won
49
possessions lost
2.05 danger/90
Overview

The player

Who he is and how he compares with his peers.

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 — mostly in the middle third (64% of his 200 passes)
78% completion · 200× in 8/8 matches
↓
ARRIVE
get into the box late
5 key passes · 4× in 4/8 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.86 key passes /90 · 0 goals · 12× in 4/8 matches
Signature: Receive → Arrive → 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: progress — 3× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
18

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 →
25
passes / match
1.4
dribbles / match
12–34
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (12 at the low end, 34 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.

07

How dangerous are his carries?

Real ball-carries

36 tracked carries (6.2/90, 5 progressive, 267m 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.

3%3%8%8%33%6%3%6%22%3%6%
progressivelateral/short% of his 36 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 15m
By zone — where the carry started → where it ended
1Outside → Inside
27Inside → Inside
8Outside → Outside
First (16)Second (11)Third (9)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 7 dribbles attempted this season — too little volume to map a location pattern.

10

How does he build & move the ball?

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW520%140%220%120%1RHS475%325%1C484%217%844%2123%1112%6LHS612%15%330%1830%1834%21LW395%23%128%1164%25FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: central areas in the final third → central areas in the final third — 2 progressive passes (17% of his progression) at 0.134 xT each. He keeps it in the same lane.

His progression is inward: 83% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 5% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 6 line-breaking passes and 10 final-third entries, 0.1 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
2%0%4%2%16%12%6%0%0%4%10%24%10%8%
completedincomplete200 passes · any zone → any zone · own goal left, attacking →
200
passes
78%
completed
43
lost
Vision AIIn line with his 78% season completion rate.
04

How does he create chances?

5 key passes (0.86/90), 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:
33%33%33%
chance creation (3)assist (0)% of the selected group's key passes originating in each zone
08

Where does he become vulnerable?

49 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

27
attacking third (cheap)
17
middle third
5
own third (dangerous)
Vision AI 55% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.05 danger-index/90 · 0.242 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
11

What is his passing profile?

200
passes attempted
34%
mostly backward
58%
mostly short
Direction
Forward
66 · 33%
Sideways
66 · 33%
Backward
68 · 34%
Length (completed)
Short (<15m)
91 · 58%
Medium
57 · 36%
Long (>30m)
9 · 6%
05

Where Does He Receive?

The zones where Youssef Maleh 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).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
26%
Primary
Left Half-Space, Middle third
20%
Secondary
Central, Middle third
14%
Third
Left Wing, Attacking third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Youssef Maleh 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:
192148241853324145417
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.

2%0%4%2%16%12%6%0%0%4%10%24%10%8%
own goal left, attacking →
12

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.

5Key pass
2Cross
4Cutback
3Progressive
21Long ball
8Switch
By zone — where the pass started → where it landed
18Outside → Inside
80Inside → Inside
26Outside → Outside
33Inside → Outside
By direction
66Forward
68Backward
66Sideways
own goal left, attacking →
02

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 5 key passes, his busiest route is a delivery where he plays straight through the left hs in the middle 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: 50% of his 8 touches there are lost (4 times).
—0 touches · too few—0 touches · too few—4 touches · too few—5 touches · too few—5 touches · too few—1 touch · too few—4 touches · too few17%7/42 lost9%5/53 lost14%4/28 lost50%4/8 lost—0 touches · too few25%3/12 lost25%3/12 lost50%13/26 lostRWRHSCLHSLWDEFMIDATT
03

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 36 ball-carries, his dominant tendency is that he carries through central areas (75%). He carries from outside into the middle 1 times and out toward the touchline 0 — a genuine inside forward who cuts in with the ball.
09

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
0 · 0%
Progressive / key pass
2 · 6%
Simple pass
27 · 75%
No clean link
7 · 19%
Of 36 carries, 0% flow straight into a shot of his own, 6% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 19% have no clean link to a next touch of his own close to where the carry ended.
13

Crosses & Cutbacks

2 crosses (0.35/90, 0 completed) and 4 cutbacks (0.69/90, 0 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
Out of possession

Out of possession

Where and how he defends and presses.

15

How & where does he defend?

70 defensive actions across the season (12.1/90). 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
5
interceptions · 0.9/90
24
recoveries · 4.1/90
4
clearances · 0.7/90
6
blocks
49
avg action height
17
won high (att 3rd)
36
middle third
17
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 39 proactive ball-wins (6.7/90), tackle success 70%. He defends high, stepping out to intercept — suits a high line.
14

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Youssef Maleh 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 2.9, 2m)
0.94
0.8
0.79
0%
Mid press (PPDA 3.5, 2m)
0.45
0.7
0.00
0%
Low press (PPDA 5.0, 4m)
0.51
0.3
1.32
20%
Team

Team context

How much of the team runs through him, and what changes without him.

16

Impact on the Team

Insufficient sample: Youssef Maleh played nearly every Lecce match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

17

His Share of the Team

Of everything Lecce produced this season, the categories where the biggest share ran through Youssef Maleh specifically — his share of the team total, not a per-90 rate.

category
share
him / team
expected assists (xA)
8%
2.3 / 28.8
box entries
8%
24 / 303
shots
8%
29 / 370
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

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.

Transition runner44%Box-to-box runner39%Advanced playmaker (8)29%Tempo controller22%
Why Transition runner 44%: a weighted blend of defensive aggression 72 (weight 30%) + transition 30 (weight 45%) + box threat 49 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
defensive aggression
Average
ball-winning, passing directness, box threat, territory (wide vs central), build-up, creativity
Weak
crossing, through-balls, transition, final-third threat, line-breaking, press resistance, dribbling, retention, progression, receiving zones, carrying
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
72
Ball-winning
66
Passing directness
50
Box threat
49
Territory (wide vs central)
47
Build-up
42
Creativity
40
Crossing
33
Through-balls ~proxy
31
Transition ~proxy
30
Final-third threat
28
Line-breaking
27
Press resistance ~proxy
24
Dribbling
23
Retention
23
Progression
20
Receiving zones
18
Carrying
8
20

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 / 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.

Mario Martín Getafe · La Liga · 178 cm / 74 kg
90%
Driven by: press resistance (12%), carrying (11%), defensive aggression (10%). Different mechanism — Maleh more via creativity, final-third threat; Martín more via defensive aggression.
Luca Kerber Heidenheim · Bundesliga 25/26 · 180 cm / 77 kg
87%
Driven by: carrying (15%), press resistance (13%), receiving zones (10%). Different mechanism — Maleh more via creativity, ball-winning.
Yassin Belkhdim Angers · Ligue 1 · 175 cm / 70 kg
85%
Driven by: carrying (14%), press resistance (12%), receiving zones (10%). Different mechanism — Maleh more via defensive aggression, creativity; Belkhdim more via territory (wide vs central).
Junior Dina Ebimbe Schalke · Bundesliga · 183 cm / 80 kg
85%
Driven by: carrying (15%), progression (12%), defensive aggression (11%). Different mechanism — Maleh more via passing directness, final-third threat; Ebimbe more via box threat.
Romano Floriani Mussolini Lazio · 188 cm / 72 kg
85%
Driven by: press resistance (14%), carrying (12%), receiving zones (10%). Different mechanism — Maleh more via box threat, ball-winning; Mussolini more via territory (wide vs central).
Merlin Röhl Everton · Premier League · 192 cm / 75 kg
81%
Driven by: press resistance (12%), carrying (10%), transition (9%). Different mechanism — Maleh more via passing directness, box threat; Röhl more via territory (wide vs central), carrying.
21

Summary

Youssef Maleh is a transition runner: 0.5 progressive passes, 0.86 key passes /90, 4 box entries, 0 goals from 0.41 xG. A box-to-box contributor across every phase.

Based on 8 matches (521 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a transition runner — best used in a system built around that identity. His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall transition runner 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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