العربيةSeason2025/262026 · this seasonAll seasons
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Player reportLigue 1 2026

Mahdi Camara

Rennes
Half-space creator CM
43% of actions in the half-spaces
Capability Analysis
Successful Dribble62%vs 31 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.9271%
Take-on success41.18%52%
Progression34%vs 31 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.319%
Line-breaking passes /901.0632%
Threat added by passing /900.62xT10%
Pass accuracy87.47%77%
Ball-Carrying57%vs 31 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /904.2252%
Carry distance /90110.19m52%
Successful take-ons /900.9271%
Take-on success41.18%52%
Chance Creation14%vs 31 central mids
"Does he create real chances for others?"
Expected assists /900.06xA29%
Through balls /900.00%
Threat added by passing /900.62xT10%
Box entries (pass) /900.919%
central midtempo controllerprogressionbox-to-box
537
minutes
7 apps
13
progressive passes
2.2/90
90%
pass completion
248 passes
4
key passes
0.67/90
5
box entries
0.84/90
14
final-3rd entries
2.3/90
18
dribbles
56% won
32
possessions lost
1.16 danger/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
Left Half-Space, Middle third — mostly in the middle third (54% of his 248 passes)
90% completion · 248× in 7/7 matches
↓
PROGRESS
drive or pass into the final third
2.2 prog/90 · 13× in 6/7 matches
↓
ARRIVE
get into the box late
4 key passes · 5× in 4/7 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.67 key passes /90 · 0 goals · 12× in 2/7 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
18

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
2.6
dribbles / match
18–54
pass range (matches)
1–5
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (18 at the low end, 54 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

63 tracked carries (10.6/90, 16 progressive, 600m 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.

2%2%6%10%2%10%6%5%8%14%16%17%3%
progressivelateral/short% of his 63 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 36m
By zone — where the carry started → where it ended
8Outside → Inside
25Inside → Inside
23Outside → Outside
7Inside → Outside
First (23)Second (20)Third (10)Fourth (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Mahdi Camara'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: 3.02 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 56%
OUTSIDE 44%
Dribble location — 10 inside · 8 outside
Right Wing
1 · 6%
Right Half-Space
4 · 22%
Central
1 · 6%
Left Half-Space
5 · 28%
Left Wing
7 · 39%
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 →RWRHSCLHSLWRW1675%1219%36%1RHS4736%1749%2311%54%2C4815%725%1227%1323%1110%5LHS504%216%830%1550%25LW6310%641%2649%31FROM
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 middle third → the left half-space in the middle third — 4 progressive passes (18% of his progression) at 0.023 xT each. He moves it inside.

His progression is inward: 59% of progressive passes move the ball toward the middle versus 9% going wider — he cuts in rather than holding width.

Only 5% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 8 line-breaking passes and 14 final-third entries, 0.5 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
0%2%6%6%8%3%0%6%8%9%4%0%1%7%8%17%10%4%
completedincomplete248 passes · any zone → any zone · own goal left, attacking →
248
passes
90%
completed
24
lost
Vision AIIn line with his 90% season completion rate.
03

How does he create chances?

4 key passes (0.67/90), 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:
25%25%25%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
10

Where does he become vulnerable?

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

17
attacking third (cheap)
11
middle third
4
own third (dangerous)
Vision AI 53% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.16 danger-index/90 · 0.217 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?

248
passes attempted
37%
mostly sideways
61%
mostly short
Direction
Forward
80 · 32%
Sideways
91 · 37%
Backward
77 · 31%
Length (completed)
Short (<15m)
137 · 61%
Medium
81 · 36%
Long (>30m)
6 · 3%
06

Where Does He Receive?

The zones where Mahdi Camara 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
13%
Primary
Left Half-Space, Middle third
12%
Secondary
Central, Middle third
12%
Third
Left Wing, 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 Mahdi Camara 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:
219194431131162022138141518208
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.

0%2%6%6%8%3%0%6%8%9%4%0%1%7%8%17%10%4%
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.

4Key pass
4Cross
5Cutback
13Progressive
8Long ball
3Switch
By zone — where the pass started → where it landed
36Outside → Inside
91Inside → Inside
43Outside → Outside
54Inside → Outside
By direction
80Forward
77Backward
91Sideways
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 left hs to the left wing, advancing it forward in the middle third — 3 passes worth 0.33 xT.
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he switches it out from the central to the right hs 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 right wing in the final third: 31% of his 13 touches there are lost (4 times).
—0 touches · too few—6 touches · too few18%2/11 lost0%0/9 lost0%0/14 lost22%2/9 lost0%0/27 lost6%2/33 lost9%3/33 lost6%2/32 lost31%4/13 lost7%1/15 lost11%1/9 lost27%4/15 lost14%3/22 lostRWRHSCLHSLWDEFMIDATT
04

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 63 ball-carries, his dominant tendency is that he carries through central areas (40%). He carries from outside into the middle 8 times and out toward the touchline 7 — balanced between cutting in and holding width.
05

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
1 · 2%
Progressive / key pass
8 · 13%
Simple pass
44 · 70%
No clean link
10 · 16%
Of 63 carries, 2% flow straight into a shot of his own, 13% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 16% have no clean link to a next touch of his own close to where the carry ended.
13

Crosses & Cutbacks

4 crosses (0.67/90, 1 completed) and 5 cutbacks (0.84/90, 2 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

15

How & where does he defend?

74 defensive actions across the season (12.4/90). 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 · 71% won
5
interceptions · 0.8/90
27
recoveries · 4.5/90
2
clearances · 0.3/90
9
blocks
47
avg action height
15
won high (att 3rd)
38
middle third
21
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 39 proactive ball-wins (6.5/90), tackle success 71%. He defends high, stepping out to intercept — suits a high line.
14

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Mahdi Camara keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.9, 2m)
0.72
1.9
0.96
56%
Mid press (PPDA 5.1, 2m)
1.22
1.1
0.00
50%
Low press (PPDA 5.9, 3m)
0.70
2.7
0.68
60%
Team

Team context

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

16

Impact on the Team

Rennes's output per match with Mahdi Camara (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. A proper on-off model needs many more minutes.

WITH (7)
WITHOUT (1)
Δ
goals for /match
2.29
2.00
+0.29
xG for /match
1.98
0.00
+1.98
goals against /match
1.71
2.00
-0.29
points /match
2.14
1.00
+1.14
17

His Share of the Team

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

category
share
him / team
successful take-ons
12%
35 / 296
interceptions
10%
37 / 365
final-third entries
9%
156 / 1666
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 383 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.

Tempo controller66%Deep-lying playmaker60%Transition runner42%Advanced playmaker (8)41%
Why Tempo controller 66%: a weighted blend of retention 75 (weight 35%) + build-up 57 (weight 30%) + press resistance 65 (weight 20%) + progression 41 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
retention, carrying
Average
territory (wide vs central), press resistance, dribbling, build-up, defensive aggression, box threat, crossing, ball-winning, receiving zones, creativity, final-third threat, progression, transition, line-breaking
Weak
through-balls, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
75
Carrying
72
Territory (wide vs central)
67
Press resistance ~proxy
65
Dribbling
63
Build-up
57
Defensive aggression
50
Box threat
48
Crossing
48
Ball-winning
47
Receiving zones
46
Creativity
44
Final-third threat
43
Progression
41
Transition ~proxy
41
Line-breaking
41
Through-balls ~proxy
28
Passing directness
23
20

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: 178 cm / 73 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.

Álvaro Fidalgo Real Betis · La Liga · 174 cm / 68 kg
82%
Driven by: retention (20%), through-balls (16%), press resistance (12%). Different mechanism — Camara more via box threat, through-balls.
Emile Smith Rowe Fulham · Premier League · 182 cm / 79 kg
79%
Driven by: retention (24%), passing directness (23%), press resistance (13%). Different mechanism — Camara more via passing directness; Rowe more via box threat.
Gabriel Vidovic Paderborn · Bundesliga · 180 cm / 75 kg
77%
Driven by: retention (20%), press resistance (18%), passing directness (16%). Different mechanism — Camara more via through-balls, passing directness; Vidovic more via dribbling, press resistance.
Khalis Merah Lyon · 178 cm
77%
Driven by: passing directness (22%), through-balls (12%), press resistance (11%). Different mechanism — Camara more via line-breaking, progression.
Noah Sadiki Sunderland · Premier League · 173 cm / 74 kg
77%
Driven by: passing directness (16%), press resistance (14%), retention (14%). Different mechanism — Camara more via box threat, line-breaking; Sadiki more via through-balls.
Warren Kamanzi Toulouse 25/26 · 177 cm / 70 kg
77%
Driven by: press resistance (14%), passing directness (14%), through-balls (13%). Different mechanism — Camara more via crossing, defensive aggression; Kamanzi more via dribbling.
21

Summary

Mahdi Camara is a tempo controller / deep-lying playmaker: 2.2 progressive passes, 0.67 key passes /90, 5 box entries, 0 goals from 1.07 xG. A box-to-box contributor across every phase.

Based on 7 matches (537 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / deep-lying playmaker — 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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