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, Attacking third — between the lines — mostly in the attacking third (50% of his 103 passes)
81% completion · 103× in 4/4 matches
↓
TURN / BEAT MAN
face forward in the pocket
0% won · 3× in 2/4 matches
↓
CREATE
through-ball, cut-back, key pass
1.27/90 · 3× in 3/4 matches
↓
FINISH
arrive and shoot from central zones
2 goals · 0.27 xG · 4× in 2/4 matches
Signature: receive between the lines → turn → create or finish.
14
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 →
26
passes / match
1.5
dribbles / match
18–34
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (18 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.
31 tracked carries (13.2/90, 5 progressive, 247m 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.
progressivelateral/short% of his 31 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 24m
By zone — where the carry started → where it ended
First (23)Second (8)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 3 dribbles attempted this season — too little volume to map a location pattern.
02
How does he create chances?
3 key passes (1.27/90), 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:
chance creation (3)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 (1)of 3 key passes landing in the final thirdattacking ↑ toward goal
09
Where does he become vulnerable?
23 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
9
attacking third (cheap)
12
middle third
2
own third (dangerous)
Vision AI 39% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.75 danger-index/90 · 0.282 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
04
Where Does He Receive?
The zones where Edan Diop 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).
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
19%
Primary
Left Half-Space, Attacking third
12%
Secondary
Right Half-Space, Middle third
12%
Third
Left Wing, Attacking third
These are the zones where he collected the ball most.
05
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Edan Diop 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:
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.
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.
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 3 key passes, his busiest route is a delivery where he plays straight through the central in the final 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 half-space in the middle third: 38% of his 13 touches there are lost (5 times).
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 31 ball-carries, his dominant tendency is that he carries through central areas (52%). He carries from outside into the middle 8 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
2 · 6%
Progressive / key pass
1 · 3%
Simple pass
24 · 77%
No clean link
4 · 13%
Of 31 carries, 6% flow straight into a shot of his own, 3% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 13% have no clean link to a next touch of his own close to where the carry ended.
45 defensive actions across the season (19.1/90). 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 →
7
tackles · 57% won
1
interceptions · 0.4/90
11
recoveries · 4.7/90
4
clearances · 1.7/90
10
blocks
55
avg action height
15
won high (att 3rd)
20
middle third
10
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 19 proactive ball-wins (8.1/90), tackle success 57%. 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.
27
attacking-half actions · 11.46/90
Team
Team context
How much of the team runs through him, and what changes without him.
Monaco's output per match with Edan Diop (4 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (4)
WITHOUT (4)
Δ
goals for /match
1.25
1.50
-0.25
xG for /match
1.23
0.00
+1.23
goals against /match
1.25
0.50
+0.75
points /match
1.25
2.50
-1.25
13
His Share of the Team
Of everything Monaco produced this season, the categories where the biggest share ran through Edan Diop specifically — his share of the team total, not a per-90 rate.
category
share
him / team
tackles
1%
7 / 575
box entries
1%
5 / 471
half-space entries
1%
8 / 898
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 294 attacking mids in the pool (min 180 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)37%Half-space creator32%
Why Advanced playmaker (8) 37%: a weighted blend of creativity 40 (weight 35%) + final-third threat 50 (weight 25%) + progression 37 (weight 25%) + box threat 36 (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
Defensive aggression
98
Ball-winning
74
Build-up
64
Receiving zones
61
Retention
55
Line-breaking
50
Final-third threat
50
Crossing
46
Transition ~proxy
40
Creativity
40
Progression
37
Box threat
36
Carrying
26
Press resistance ~proxy
25
Territory (wide vs central)
18
Passing directness
14
Through-balls ~proxy
4
Dribbling
2
16
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: 173 cm / 67 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.
Joseph Nonge Brest · 184 cm / 70 kg
71%
Driven by: defensive aggression (23%), through-balls (11%), dribbling (11%). Different mechanism — Diop more via receiving zones, crossing.
Andy Irving West Ham · Premier League 25/26 · 190 cm / 66 kg
66%
Driven by: defensive aggression (24%), dribbling (19%), through-balls (14%). Different mechanism — Diop more via box threat, receiving zones; Irving more via passing directness, build-up.
Jonathan Dubasin Osasuna · La Liga · 181 cm / 68 kg
63%
Driven by: ball-winning (19%), passing directness (17%), dribbling (17%). Different mechanism — Diop more via defensive aggression; Dubasin more via box threat, territory (wide vs central).
Daizen Maeda Ipswich · Premier League · 173 cm / 67 kg
62%
Driven by: defensive aggression (22%), dribbling (14%), through-balls (11%). Different mechanism — Diop more via receiving zones, line-breaking.
Vasilije Adzic Sassuolo · Serie A · 185 cm / 75 kg
62%
Driven by: dribbling (19%), through-balls (16%), passing directness (14%). Different mechanism — Diop more via defensive aggression, crossing; Adzic more via box threat, creativity.
Gabriele Piccinini Pisa · Serie A 25/26 · 184 cm / 76 kg
59%
Driven by: defensive aggression (25%), through-balls (16%), dribbling (14%). Different mechanism — Diop more via line-breaking, receiving zones; Piccinini more via territory (wide vs central), dribbling.
17
Summary
Edan Diop is an advanced playmaker (8): 1.27 key passes /90, 2.1 progressive passes, 2 goals from 0.27 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 4 matches (212 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.