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Player reportLigue 1 2026

Djibril Coulibaly

Nice
Ball-winning 6 (destroyer) DM
16.0 defensive actions/90
Capability Analysis
Breaking Pressure
no action recorded in any high-press match yet
Progression29%vs 21 defensive mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.0110%
Line-breaking passes /900.6710%
Threat added by passing /900.51xT5%
Pass accuracy89.3%90%
Ball-Winning38%vs 21 defensive mids
"How actively does he win the ball back?"
Interceptions /901.1733%
Ball recoveries /904.3524%
Tackles /901.00%
Duels won /902.0195%
defensive midtempo controllerpress resistancescreening
511
minutes
7 apps
206
passes
89% completed
89%
pass completion
206 passes
14
progressive passes
2.5/90
91
defensive actions
16.0/90
12
tackles + interceptions
67% tackle win
25
recoveries
4.4/90
11
line-breaking passes
1.9/90
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
drop between the centre-backs — mostly in the middle third (63% of his 206 passes)
89% completion · 206× in 7/7 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
29% won · 7× in 6/7 matches
↓
PROGRESS CENTRAL
break a line through the middle
2.5 prog/90 · 11× in 7/7 matches
↓
SCREEN / WIN BALL
protect the back four
6.5 ball-wins/90 · 37× in 7/7 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
2.1 f3-entries/90 · 12× in 6/7 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
15

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 →
29
passes / match
16.0
def actions / 90
8–69
pass range (matches)
8
clearances
Pass range = his fewest and most passes in any single match this season (8 at the low end, 69 at the high) — a measure of match-to-match involvement, not pass distance.
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

58 tracked carries (10.2/90, 4 progressive, 424m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

2%7%7%14%9%2%9%17%7%5%2%7%5%9%
progressivelateral/short% of his 58 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 20m
By zone — where the carry started → where it ended
2Outside → Inside
41Inside → Inside
10Outside → Outside
5Inside → Outside
First (18)Second (17)Third (13)Fourth (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

6
tackle duels
4
won
2
beaten · 33%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 83%
OUTSIDE 17%
Tackle-duel location — 5 inside · 1 outside
Right Wing
1 · 17%
Right Half-Space
3 · 50%
Central
2 · 33%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 2 of 6 tackle duels (33% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 7 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

03

How does he build & move the ball?

How does he escape the first line?

11%
vertical passes
11×
3%
switches
3×
31%
carries
31×
55%
short circulation
55×
Answer: he escapes the press primarily through carrying — stepping out with 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 →RWRHSCLHSLWRW2138%857%125%1RHS5920%1229%1737%2210%63%2C4513%629%1333%1511%513%6LHS464%230%1426%1239%18LW1315%231%454%7FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the defensive third → the left wing in the middle third — 2 progressive passes (20% of his progression) at 0.100 xT each. He keeps it in the same lane.

His progression is inward: 40% of progressive passes move the ball toward the middle versus 10% 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: 3 line-breaking passes and 12 final-third entries, -1.7 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%6%9%12%8%2%8%14%10%5%0%4%12%5%2%0%
completedincomplete206 passes · any zone → any zone · own goal left, attacking →
206
passes
89%
completed
22
lost
Vision AIIn line with his 89% season completion rate.
09

How does he create chances?

2 key passes (0.35/90), 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:
50%50%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
04

Where does he become vulnerable?

27 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

9
attacking third (cheap)
12
middle third
6
own third (dangerous)
Vision AI 33% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.66 danger-index/90 · 0.350 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

206
passes attempted
37%
mostly backward
47%
mostly short
Direction
Forward
64 · 31%
Sideways
66 · 32%
Backward
76 · 37%
Length (completed)
Short (<15m)
86 · 47%
Medium
84 · 46%
Long (>30m)
14 · 8%
06

Where Does He Receive?

The zones where Djibril Coulibaly 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 Half-Space, Middle third
17%
Secondary
Left Half-Space, Middle third
14%
Third
Central, Middle 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 Djibril Coulibaly 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:
192412411628211523132025186
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%6%9%12%8%2%8%14%10%5%0%4%12%5%2%0%
own goal left, attacking →
10

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.

2Key pass
1Cutback
14Progressive
11Long ball
8Switch
By zone — where the pass started → where it landed
19Outside → Inside
106Inside → Inside
15Outside → Outside
44Inside → Outside
By direction
64Forward
76Backward
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the left wing, advancing it forward in the defensive third — 2 passes worth 0.20 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays inside from the left hs 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 right half-space in the final third: 29% of his 14 touches there are lost (4 times).
—4 touches · too few27%3/11 lost15%2/13 lost0%0/9 lost—3 touches · too few27%3/11 lost7%3/44 lost7%2/30 lost6%2/35 lost11%1/9 lost10%1/10 lost29%4/14 lost—7 touches · too few—4 touches · too few—2 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

11

How & where does he defend?

91 defensive actions across the season (16.0/90). 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 →
6
tackles · 67% won
6
interceptions · 1.1/90
25
recoveries · 4.4/90
8
clearances · 1.4/90
3
blocks
46
avg action height
14
won high (att 3rd)
48
middle third
29
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.
12

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Djibril Coulibaly still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~2-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 5.5, 2m)
80%
1.9
1.9
0.42
Mid press (PPDA 6.5, 2m)
92%
2.1
2.1
0.44
Low press (PPDA 7.9, 3m)
90%
2.9
1.9
0.56
Team

Team context

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

13

Impact on the Team

Nice's output per match with Djibril Coulibaly (7 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (7)
WITHOUT (1)
Δ
goals against /match
1.14
2.00
-0.86
points /match
1.57
0.00
+1.57
goals for /match
1.00
1.00
+0.00
xG for /match
0.86
1.08
-0.22
14

His Share of the Team

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

category
share
him / team
interceptions
2%
7 / 354
ball recoveries
2%
26 / 1703
clearances
1%
8 / 739
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

16

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 258 defensive 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.

Tempo controller53%Deep-lying playmaker44%Ball-winning 642%
Why Tempo controller 53%: a weighted blend of retention 70 (weight 35%) + build-up 54 (weight 30%) + press resistance 44 (weight 20%) + progression 24 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
retention
Average
defensive aggression, crossing, build-up, press resistance, box threat
Weak
carrying, ball-winning, transition, line-breaking, progression, territory (wide vs central), creativity, dribbling, final-third threat, receiving zones, through-balls, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
70
Defensive aggression
68
Crossing
55
Build-up
54
Press resistance ~proxy
44
Box threat
43
Carrying
30
Ball-winning
29
Transition ~proxy
25
Line-breaking
24
Progression
24
Territory (wide vs central)
22
Creativity
18
Dribbling
18
Final-third threat
16
Receiving zones
12
Through-balls ~proxy
8
Passing directness
4
17

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: 190 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.

Mouhamed Diop Troyes · 182 cm
85%
Driven by: creativity (13%), dribbling (12%), transition (8%). Different mechanism — Diop more via box threat, passing directness.
Eric Martel Mainz · Bundesliga · 188 cm / 81 kg
83%
Driven by: creativity (16%), dribbling (12%), receiving zones (11%). Different mechanism — Martel more via passing directness, build-up.
Javier Morcillo Elche · La Liga · 183 cm
81%
Driven by: transition (13%), final-third threat (12%), receiving zones (11%). Different mechanism — Coulibaly more via defensive aggression, line-breaking; Morcillo more via dribbling, press resistance.
Kwon Hyeok-Kyu Nantes 25/26 · 192 cm / 77 kg
80%
Driven by: transition (12%), final-third threat (10%), receiving zones (10%). Different mechanism — Coulibaly more via defensive aggression, box threat; Hyeok-Kyu more via creativity.
Nicolai Remberg Hamburg · Bundesliga · 187 cm / 88 kg
74%
Driven by: passing directness (12%), receiving zones (12%), final-third threat (11%). Different mechanism — Coulibaly more via defensive aggression, crossing; Remberg more via dribbling, through-balls.
Amadou Onana Aston Villa · Premier League 25/26 · 195 cm / 76 kg
74%
Driven by: transition (15%), passing directness (15%), creativity (14%). Different mechanism — Coulibaly more via defensive aggression; Onana more via through-balls, receiving zones.
18

Summary

Djibril Coulibaly is a tempo controller: 89% completion, 11 line-breaks and 2.5 progressive passes /90, resisting pressure with 29% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 7 matches (511 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall tempo controller 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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