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Player reportLigue 1 2026

Benjamin André

Lille
Half-space creator CM
42% of actions in the half-spaces
central midtransition runnerprogressionbox-to-box
386
minutes
6 apps
12
progressive passes
2.8/90
86%
pass completion
210 passes
5
key passes
1.17/90
0
box entries
0.00/90
22
final-3rd entries
5.1/90
9
dribbles
22% won
37
possessions lost
2.58 danger/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Benjamin André has played 6 matches (386 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 — mostly in the middle third (62% of his 210 passes)
86% completion · 210× in 6/6 matches
↓
PROGRESS
drive or pass into the final third
2.8 prog/90 · 12× in 5/6 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.17 key passes /90 · 0 goals · 7× in 4/6 matches
Signature: Receive → Progress → 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: arrive — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
17

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 →
35
passes / match
1.5
dribbles / match
5–64
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (5 at the low end, 64 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

50 tracked carries (11.7/90, 9 progressive, 415m 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.

6%16%6%6%8%6%2%2%22%16%10%
progressivelateral/short% of his 50 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 21m
By zone — where the carry started → where it ended
6Outside → Inside
31Inside → Inside
9Outside → Outside
4Inside → Outside
First (15)Second (15)Third (11)Fourth (9)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Benjamin André'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: 2.10 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 56%
OUTSIDE 44%
Dribble location — 5 inside · 4 outside
Right Wing
2 · 22%
Right Half-Space
2 · 22%
Central
0 · 0%
Left Half-Space
3 · 33%
Left Wing
2 · 22%
Vision AI 44% 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.
09

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 →RWRHSCLHSLWRW1283%1017%2RHS3244%149%334%116%26%2C539%525%1338%2017%911%6LHS402%110%432%1318%738%15LW439%423%1067%29FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right half-space in the defensive third → the right wing in the middle third — 1 progressive passes (14% of his progression) at 0.054 xT each. He works it wider.

His progression is inward: 43% of progressive passes move the ball toward the middle versus 29% going wider — he cuts in rather than holding width.

Only 7% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 2 line-breaking passes and 22 final-third entries, 0.6 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
3%10%6%2%1%0%8%12%7%5%1%7%12%17%9%
completedincomplete210 passes · any zone → any zone · own goal left, attacking →
210
passes
86%
completed
30
lost
Vision AIIn line with his 86% season completion rate.
04

How does he create chances?

5 key passes (1.17/90), 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:
20%20%40%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
10

Where does he become vulnerable?

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

14
attacking third (cheap)
15
middle third
8
own third (dangerous)
Vision AI 38% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.58 danger-index/90 · 0.299 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?

210
passes attempted
42%
mostly forward
60%
mostly short
Direction
Forward
88 · 42%
Sideways
77 · 37%
Backward
45 · 21%
Length (completed)
Short (<15m)
108 · 60%
Medium
62 · 34%
Long (>30m)
10 · 6%
05

Where Does He Receive?

The zones where Benjamin André 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
16%
Primary
Left Half-Space, Middle third
15%
Secondary
Left Wing, Middle third
14%
Third
Central, Middle 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 Benjamin André 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:
31426371911725161218201273
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.

3%10%6%2%1%0%8%12%7%5%1%7%12%17%9%
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
3Cross
12Progressive
14Long ball
9Switch
By zone — where the pass started → where it landed
16Outside → Inside
82Inside → Inside
39Outside → Outside
43Inside → Outside
By direction
88Forward
45Backward
77Sideways
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 →
How does he progress the ball forward?
His most common route for progressing play: he switches it out from the central to the left wing, advancing it forward in the defensive third — 1 passes worth 0.18 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central 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 central in the final third: 27% of his 11 touches there are lost (3 times).
—2 touches · too few—5 touches · too few6%1/17 lost—5 touches · too few25%3/12 lost11%1/9 lost7%2/27 lost6%2/31 lost6%2/33 lost19%6/31 lost—5 touches · too few—4 touches · too few27%3/11 lost—7 touches · too few18%2/11 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 50 ball-carries, his dominant tendency is that he carries through central areas (62%). He carries from outside into the middle 6 times and out toward the touchline 4 — a genuine inside forward who cuts in with the ball.
08

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 · 4%
Simple pass
43 · 86%
No clean link
5 · 10%
Of 50 carries, 0% flow straight into a shot of his own, 4% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 10% 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.

13

How & where does he defend?

85 defensive actions across the season (19.8/90). 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 →
16
tackles · 69% won
4
interceptions · 0.9/90
22
recoveries · 5.1/90
11
clearances · 2.6/90
1
blocks
37
avg action height
10
won high (att 3rd)
31
middle third
44
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 42 proactive ball-wins (9.8/90), tackle success 69%. He defends mostly around the middle third.
14

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Benjamin André keep producing when the game is tight and the press is high? Tiers of ~2-2 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.6, 2m)
0.49
2.3
0.58
0%
Mid press (PPDA 5.7, 2m)
0.58
1.7
1.75
67%
Low press (PPDA 8.8, 2m)
0.88
4.3
1.42
0%
Team

Team context

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

15

Impact on the Team

Lille's output per match with Benjamin André (6 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 (6)
WITHOUT (2)
Δ
goals for /match
1.33
1.50
-0.17
xG for /match
1.21
0.32
+0.90
goals against /match
1.00
0.00
+1.00
points /match
1.50
3.00
-1.50
16

His Share of the Team

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

category
share
him / team
tackles
17%
82 / 481
interceptions
13%
37 / 284
final-third entries
13%
186 / 1485
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 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 runner78%Box-to-box runner76%Tempo controller62%Deep-lying playmaker60%
Why Transition runner 78%: a weighted blend of transition 80 (weight 45%) + defensive aggression 81 (weight 30%) + box threat 43 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness, ball-winning
Strong
defensive aggression, transition, final-third threat
Average
build-up, carrying, retention, press resistance, receiving zones, crossing, dribbling, progression, creativity, box threat
Weak
through-balls, line-breaking, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
91
Ball-winning
88
Defensive aggression
81
Transition ~proxy
80
Final-third threat
73
Build-up
62
Carrying
62
Retention
61
Press resistance ~proxy
58
Receiving zones
58
Crossing
55
Dribbling
51
Progression
49
Creativity
45
Box threat
43
Through-balls ~proxy
33
Line-breaking
25
Territory (wide vs central)
20
19

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 / 76 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.

Niccolò Pisilli Roma · Serie A · 181 cm / 73 kg
83%
Driven by: defensive aggression (19%), transition (18%), passing directness (17%). Different mechanism — André more via dribbling, press resistance; Pisilli more via box threat.
Iñigo Ruiz de Galarreta Athletic Club · La Liga · 175 cm / 69 kg
73%
Driven by: ball-winning (26%), defensive aggression (19%), transition (16%). Different mechanism — Galarreta more via through-balls, line-breaking.
Antoine Bernede Hellas Verona · Serie A 25/26 · 178 cm / 73 kg
70%
Driven by: ball-winning (28%), defensive aggression (24%), passing directness (20%). Different mechanism — André more via retention, final-third threat; Bernede more via line-breaking, territory (wide vs central).
Frenkie de Jong Barcelona · La Liga · 181 cm / 74 kg
69%
Driven by: ball-winning (19%), transition (18%), passing directness (13%). Different mechanism — Jong more via creativity, line-breaking.
Manu Koné Roma · Serie A · 185 cm / 80 kg
66%
Driven by: passing directness (18%), transition (17%), defensive aggression (14%). Different mechanism — André more via ball-winning; Koné more via dribbling, retention.
Michel Aebischer Union Berlin · Bundesliga · 183 cm / 78 kg
66%
Driven by: ball-winning (25%), transition (16%), passing directness (10%). Different mechanism — André more via receiving zones, defensive aggression; Aebischer more via build-up.
20

Summary

Benjamin André is a transition runner / box-to-box runner: 2.8 progressive passes, 1.17 key passes /90, 0 box entries, 0 goals from 0.10 xG. A box-to-box contributor across every phase.

Based on 6 matches (386 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a transition runner / box-to-box runner — 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 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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