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Player reportLigue 1 2026
TRO

Mouhamed Diop

Troyes
Ball-winning 6 (destroyer) DM
15.2 defensive actions/90
Capability Analysis
Breaking Pressure42%vs 17 defensive mids
"Can he retain and progress the ball while his own team is being pressed?"
Retention under pressure90.0%88%
Progressive passes while pressed46%
Line-breaking passes while pressed118%
Progressive carries while pressed847%
Threat added while pressed (xT)2.29xT53%
Progression23%vs 21 defensive mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /901.085%
Line-breaking passes /900.270%
Threat added by passing /900.57xT10%
Pass accuracy87.88%76%
Ball-Winning19%vs 21 defensive mids
"How actively does he win the ball back?"
Interceptions /900.945%
Ball recoveries /904.3219%
Tackles /901.8938%
Duels won /900.414%
defensive midball-winning 6press resistancescreening
667
minutes
8 apps
231
passes
88% completed
88%
pass completion
231 passes
24
progressive passes
3.2/90
113
defensive actions
15.2/90
21
tackles + interceptions
71% tackle win
32
recoveries
4.3/90
28
line-breaking passes
3.8/90
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 (58% of his 231 passes)
88% completion · 231× in 8/8 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
25% won · 4× in 3/8 matches
↓
PROGRESS CENTRAL
break a line through the middle
3.2 prog/90 · 28× in 8/8 matches
↓
SCREEN / WIN BALL
protect the back four
7.2 ball-wins/90 · 53× in 8/8 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
2.8 f3-entries/90 · 21× in 7/8 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.
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 →
29
passes / match
15.2
def actions / 90
20–49
pass range (matches)
15
clearances
Pass range = his fewest and most passes in any single match this season (20 at the low end, 49 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.

10

How dangerous are his carries?

Real ball-carries

51 tracked carries (6.9/90, 13 progressive, 483m 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.

8%8%8%10%14%12%12%2%2%14%8%4%
progressivelateral/short% of his 51 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 29m
By zone — where the carry started → where it ended
5Outside → Inside
37Inside → Inside
5Outside → Outside
4Inside → Outside
First (15)Second (15)Third (12)Fourth (9)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).

14
tackle duels
10
won
4
beaten · 29%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 71%
OUTSIDE 29%
Tackle-duel location — 10 inside · 4 outside
Right Wing
2 · 14%
Right Half-Space
0 · 0%
Central
3 · 21%
Left Half-Space
7 · 50%
Left Wing
2 · 14%
Vision AI beaten in 4 of 14 tackle duels (29% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 4 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.

04

How does he build & move the ball?

How does he escape the first line?

15%
vertical passes
15×
11%
switches
11×
29%
carries
29×
45%
short circulation
45×
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 →RWRHSCLHSLWRW1872%1322%46%1RHS6439%2520%1317%1119%125%3C6417%1127%1725%1617%1114%9LHS449%47%314%625%1145%20LW1315%246%638%5FROM
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 middle third → the right half-space in the middle third — 2 progressive passes (25% of his progression) at 0.093 xT each. He moves it inside.

His progression is inward: 88% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

17% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 2 line-breaking passes and 21 final-third entries, 0.7 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
4%11%10%8%1%8%15%12%8%1%4%4%7%6%1%
completedincomplete231 passes · any zone → any zone · own goal left, attacking →
231
passes
88%
completed
28
lost
Vision AIIn line with his 88% season completion rate.
03

How does he progress play?

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

24
progressive · 3.2/90
21
final-third entries · 2.8/90
4
box entries · 0.54/90
9
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.
11

How does he create chances?

2 key passes (0.27/90), 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:
50%50%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
05

Where does he become vulnerable?

31 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.

11
attacking third (cheap)
15
middle third
5
own third (dangerous)
Vision AI 35% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.27 danger-index/90 · 0.304 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
07

What is his passing profile?

231
passes attempted
43%
mostly forward
45%
mostly medium
Direction
Forward
100 · 43%
Sideways
73 · 32%
Backward
58 · 25%
Length (completed)
Short (<15m)
88 · 43%
Medium
92 · 45%
Long (>30m)
23 · 11%
06

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.

0.190.180.170.160.140.13
own goal left, attacking →
Highest-value routes (xT)
0.19
Right Wing Mid third → Right Half-Space Mid third
2 passes
0.18
Left Half-Space Mid third → Left Wing Mid third
3 passes
0.17
Central Mid third → Right Wing Att third
2 passes · 1 to a shot
0.16
Left Wing Mid third → Left Wing Att third
1 passes
0.14
Right Half-Space Mid third → Right Wing Att third
2 passes
0.13
Right Half-Space Mid third → Right Wing Mid third
2 passes
08

Where Does He Receive?

The zones where Mouhamed 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).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
18%
Primary
Right Half-Space, Middle third
18%
Secondary
Central, Middle third
14%
Third
Left Half-Space, Middle third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Mouhamed 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:
391017143193427217102622192
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.

4%11%10%8%1%8%15%12%8%1%4%4%7%6%1%
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.

2Key pass
1Cross
24Progressive
28Long ball
21Switch
By zone — where the pass started → where it landed
13Outside → Inside
100Inside → Inside
18Outside → Outside
72Inside → Outside
By direction
100Forward
58Backward
73Sideways
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 inside from the right wing toward the right hs in the middle third — 2 passes worth 0.19 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he switches it out from the central to the right wing, advancing it forward 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 left half-space in the final third: 25% of his 12 touches there are lost (3 times).
—2 touches · too few0%0/8 lost12%2/16 lost18%2/11 lost—3 touches · too few17%2/12 lost5%2/42 lost5%2/42 lost19%6/32 lost—7 touches · too few—7 touches · too few11%2/18 lost23%3/13 lost25%3/12 lost—6 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

113 defensive actions across the season (15.2/90). 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 →
14
tackles · 71% won
7
interceptions · 0.9/90
32
recoveries · 4.3/90
15
clearances · 2.0/90
6
blocks
43
avg action height
23
won high (att 3rd)
47
middle third
43
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 53 proactive ball-wins (7.2/90), tackle success 71%. He defends high, stepping out to intercept — suits a high line.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Mouhamed Diop 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 ~2-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.8, 2m)
86%
5.9
6.5
0.69
Mid press (PPDA 4.1, 2m)
91%
1.9
1.9
0.46
Low press (PPDA 5.0, 4m)
88%
2.5
3.3
0.56
Team

Team context

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

15

Impact on the Team

Insufficient sample: Mouhamed Diop played nearly every Troyes 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.

16

His Share of the Team

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

category
share
him / team
expected goals (xG)
7%
0.8 / 11.1
tackles
7%
14 / 204
ball recoveries
6%
32 / 502
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 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.

Ball-winning 640%Tempo controller35%Deep-lying playmaker27%
Why Ball-winning 6 40%: a weighted blend of defensive aggression 70 (weight 30%) + ball-winning 30 (weight 40%) + retention 61 (weight 15%) + progression 15 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
box threat
Average
defensive aggression, retention, crossing
Weak
build-up, final-third threat, press resistance, ball-winning, transition, passing directness, through-balls, receiving zones, carrying, territory (wide vs central), creativity, progression, line-breaking, dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
80
Defensive aggression
70
Retention
61
Crossing
52
Build-up
38
Final-third threat
34
Press resistance ~proxy
30
Ball-winning
30
Transition ~proxy
29
Passing directness
27
Through-balls ~proxy
27
Receiving zones
23
Carrying
23
Territory (wide vs central)
18
Creativity
18
Progression
15
Line-breaking
8
Dribbling
8
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: 182 cm) 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.

Djibril Coulibaly Nice · 190 cm / 76 kg
85%
Driven by: creativity (13%), dribbling (12%), transition (8%). Different mechanism — Diop more via box threat, passing directness.
Lennard Maloney Mainz · Bundesliga · 188 cm / 89 kg
80%
Driven by: creativity (14%), dribbling (13%), progression (10%). Different mechanism — Diop more via retention, box threat; Maloney more via passing directness.
Eric Martel Mainz · Bundesliga · 188 cm / 81 kg
75%
Driven by: creativity (17%), dribbling (16%), line-breaking (10%). Different mechanism — Diop more via box threat; Martel more via build-up, carrying.
Ryan Yates Nottingham Forest · Premier League · 190 cm / 87 kg
75%
Driven by: creativity (15%), progression (13%), line-breaking (11%). Different mechanism — Diop more via retention, through-balls; Yates more via territory (wide vs central), passing directness.
Tomás Soucek West Ham · Premier League 25/26 · 192 cm / 86 kg
73%
Driven by: dribbling (12%), progression (11%), ball-winning (10%). Different mechanism — Diop more via retention, crossing; Soucek more via territory (wide vs central).
Yannick Gerhardt Wolfsburg · Bundesliga 25/26 · 184 cm / 81 kg
73%
Driven by: dribbling (19%), ball-winning (14%), line-breaking (14%). Different mechanism — Diop more via defensive aggression, retention; Gerhardt more via territory (wide vs central), creativity.
20

Summary

Mouhamed Diop is a ball-winning 6: 88% completion, 28 line-breaks and 3.2 progressive passes /90, resisting pressure with 25% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 8 matches (667 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 — 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 ball-winning 6 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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