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Player reportLigue 1 2026

Maghnes Akliouche

PSG
Central midfielder AM
balanced central profile
Capability Analysis
Chance Creation36%vs 9 wingers
"Does he create real chances for others?"
Expected assists /900.06xA11%
Through balls /900.00%
Threat added by passing /901.11xT67%
Box entries (pass) /902.3467%
Box Threat26%vs 9 wingers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.2xG44%
Shots /901.6922%
xGOT /900.16xGOT11%
Ball-Carrying48%vs 9 wingers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /906.0856%
Carry distance /90154.15m67%
Successful take-ons /900.9211%
Take-on success38.27%56%
attacking midadvanced playmaker (8)creationbetween the lines
512
minutes
8 apps
8
key passes
1.41/90
16
progressive passes
2.8/90
7
box entries
1.23/90
14
final-3rd entries
2.5/90
1
goals
1.46 xG
16
dribbles
31% won
89%
pass completion
341 passes
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
Right Wing, Middle third — between the lines — mostly in the attacking third (48% of his 341 passes)
89% completion · 341× in 8/8 matches
↓
TURN / BEAT MAN
face forward in the pocket
31% won · 16× in 6/8 matches
↓
CREATE
through-ball, cut-back, key pass
1.41/90 · 8× in 4/8 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 1.46 xG · 9× in 5/8 matches
Signature: receive between the lines → turn → create or finish.
19

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 →
43
passes / match
2.7
dribbles / match
16–71
pass range (matches)
1–4
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (16 at the low end, 71 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.

08

How dangerous are his carries?

Real ball-carries

108 tracked carries (19.0/90, 34 progressive, 1136m 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.

1%6%15%28%21%3%4%6%1%1%1%1%6%6%1%
progressivelateral/short% of his 108 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 26m
By zone — where the carry started → where it ended
23Outside → Inside
32Inside → Inside
51Outside → Outside
2Inside → Outside
First (50)Second (29)Third (21)Fourth (8)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he carry to create or drift wide? Dribbles by channel. Season rate: 2.81 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 50%
OUTSIDE 50%
Dribble location — 8 inside · 8 outside
Right Wing
5 · 31%
Right Half-Space
4 · 25%
Central
2 · 12%
Left Half-Space
2 · 12%
Left Wing
3 · 19%
Vision AI His carries cluster wide — a drifting playmaker.
14

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 →RWRHSCLHSLWRW13757%7835%487%91%2RHS5431%1724%1335%196%34%2C4115%622%924%1024%1015%6LHS356%29%329%1031%1126%9LW388%326%1066%25FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the final third → the right half-space in the final third — 8 progressive passes (27% of his progression) at 0.041 xT each. He moves it inside.

His progression is inward: 60% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

9% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 16 line-breaking passes and 14 final-third entries, 1.3 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
1%5%11%17%21%4%1%4%4%8%1%0%1%3%6%9%3%
completedincomplete341 passes · any zone → any zone · own goal left, attacking →
341
passes
89%
completed
36
lost
Vision AIIn line with his 89% season completion rate.
09

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

16
progressive · 2.8/90
14
final-third entries · 2.5/90
7
box entries · 1.23/90
25
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
02

How does he create chances?

8 key passes (1.41/90), 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:
38%12%25%25%
chance creation (8)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 (2)from the right (6)of 8 key passes landing in the final thirdattacking ↑ toward goal
11

Where does he become vulnerable?

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

26
attacking third (cheap)
16
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): 1.80 danger-index/90 · 0.218 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
12

What is his passing profile?

341
passes attempted
38%
mostly sideways
63%
mostly short
Direction
Forward
97 · 28%
Sideways
130 · 38%
Backward
114 · 33%
Length (completed)
Short (<15m)
191 · 63%
Medium
96 · 31%
Long (>30m)
18 · 6%
10

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.390.330.280.240.170.15
own goal left, attacking →
Highest-value routes (xT)
0.39
Right Wing Att third → Right Wing Att third
3 passes
0.33
Right Wing Mid third → Right Half-Space Att third
1 passes
0.28
Right Half-Space Att third → Right Half-Space Att third
1 passes
0.24
Right Half-Space Att third → Central Att third
1 passes · 1 to a shot
0.17
Left Wing Mid third → Left Wing Mid third
2 passes
0.15
Right Half-Space Att third → Right Wing Att third
2 passes
06

Where Does He Receive?

The zones where Maghnes Akliouche 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
21%
Primary
Right Wing, Middle third
17%
Secondary
Right Wing, Attacking third
11%
Third
Right Half-Space, Attacking third
These are the zones where he collected the ball most.
07

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Maghnes Akliouche 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:
13112234112141626931840607620
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.

1%5%11%17%21%4%1%4%4%8%1%0%1%3%6%9%3%
own goal left, attacking →
13

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.

8Key pass
2Cross
3Cutback
16Progressive
20Long ball
17Switch
By zone — where the pass started → where it landed
72Outside → Inside
88Inside → Inside
103Outside → Outside
42Inside → Outside
By direction
97Forward
114Backward
130Sideways
own goal left, attacking →
05

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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right wing in the final third — 3 passes worth 0.39 xT.
Where do his chances come from?
Of 8 key passes, his busiest route is a delivery where he plays inside from the right wing toward the right hs 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 right wing in the defensive third: 28% of his 18 touches there are lost (5 times).
28%5/18 lost—3 touches · too few—1 touch · too few—5 touches · too few—0 touches · too few4%3/71 lost12%3/25 lost9%2/22 lost0%0/16 lost17%3/18 lost7%4/60 lost17%6/35 lost5%1/21 lost26%5/19 lost15%4/27 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 108 ball-carries, his dominant tendency is that he drives along the touchline (47%). He carries from outside into the middle 23 times and out toward the touchline 2 — a genuine inside forward who cuts in with the ball.
04

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
2 · 2%
Progressive / key pass
10 · 9%
Simple pass
83 · 77%
No clean link
13 · 12%
Of 108 carries, 2% flow straight into a shot of his own, 9% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 12% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

16

How & where does he defend?

67 defensive actions across the season (11.8/90). 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 →
12
tackles · 67% won
5
interceptions · 0.9/90
20
recoveries · 3.5/90
2
clearances · 0.4/90
4
blocks
55
avg action height
25
won high (att 3rd)
28
middle third
14
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 37 proactive ball-wins (6.5/90), tackle success 67%. 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.

38
attacking-half actions · 6.68/90
15

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Maghnes Akliouche 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 6.5, 2m)
0.89
2.2
1.44
25%
Mid press (PPDA 8.0, 2m)
1.02
4.0
0.00
0%
Low press (PPDA 12.7, 4m)
1.32
2.8
1.69
36%
Team

Team context

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

17

Impact on the Team

Insufficient sample: Maghnes Akliouche played nearly every PSG 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.

18

His Share of the Team

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

category
share
him / team
box entries
11%
79 / 746
zone-14 entries
10%
56 / 544
successful take-ons
9%
31 / 338
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

Playing-Style Profile

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)75%Half-space creator67%
Why Advanced playmaker (8) 75%: a weighted blend of creativity 66 (weight 35%) + progression 86 (weight 25%) + final-third threat 78 (weight 25%) + box threat 55 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, line-breaking, progression
Strong
through-balls, retention, carrying, final-third threat, ball-winning, transition
Average
build-up, creativity, crossing, defensive aggression, press resistance, box threat, dribbling
Weak
territory (wide vs central), passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
95
Line-breaking
86
Progression
86
Through-balls ~proxy
84
Retention
82
Carrying
81
Final-third threat
78
Ball-winning
77
Transition ~proxy
72
Build-up
67
Creativity
66
Crossing
65
Defensive aggression
65
Press resistance ~proxy
63
Box threat
55
Dribbling
43
Territory (wide vs central)
40
Passing directness
28
21

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: 183 cm / 72 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 Ligue 1, Bundesliga, La Liga, 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.

Fabio Miretti Juventus · Serie A · 180 cm / 75 kg
86%
Driven by: receiving zones (21%), ball-winning (12%), retention (10%). Different mechanism — Akliouche more via territory (wide vs central), progression.
Arda Güler Real Madrid · La Liga · 176 cm / 67 kg
84%
Driven by: receiving zones (14%), progression (10%), line-breaking (9%). Different mechanism — Akliouche more via territory (wide vs central); Güler more via passing directness, creativity.
Lucas Cepeda Elche · La Liga · 177 cm / 66 kg
83%
Driven by: receiving zones (13%), through-balls (11%), progression (11%). Different mechanism — Akliouche more via defensive aggression; Cepeda more via crossing.
Martin Baturina Como · Serie A · 172 cm / 68 kg
82%
Driven by: receiving zones (16%), progression (13%), retention (11%). Different mechanism — Akliouche more via through-balls, ball-winning; Baturina more via creativity.
Rayan Cherki Man City · Premier League · 180 cm / 71 kg
81%
Driven by: receiving zones (14%), progression (12%), retention (9%). Different mechanism — Akliouche more via ball-winning; Cherki more via dribbling, creativity.
Matías Soulé Roma · Serie A · 182 cm / 74 kg
80%
Driven by: receiving zones (14%), progression (14%), transition (12%). Different mechanism — Akliouche more via ball-winning; Soulé more via territory (wide vs central), passing directness.
22

Summary

Maghnes Akliouche is an advanced playmaker (8) / half-space creator: 1.41 key passes /90, 2.8 progressive passes, 1 goals from 1.46 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]

Based on 8 matches (512 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) / 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 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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