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Player reportLigue 1 2026

Sadibou Sané

Monaco
Ball-playing centre-back CB
6.8 progressive passes/90 · 1.3 line-breaking/90
Capability Analysis
Aerial & Box Defending35%vs 43 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /905.2770%
Ball-Winning64%vs 43 centre-backs
"How actively does he win the ball back?"
Interceptions /901.3468%
Ball recoveries /904.5984%
Tackles /901.6868%
Duels won /901.1934%
Breaking Pressure
only 85 pressured-passing actions across 2 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression67%vs 43 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.4959%
Line-breaking passes /900.9468%
Threat added by passing /901.24xT70%
Pass accuracy90.64%70%
Ball-Carrying93%vs 43 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /908.4295%
Carry distance /90200.67m91%
centre-backstopper centre-backbuild-upline-breaking
759
minutes
8 apps
569
passes
94% completed
94%
pass completion
569 passes
57
progressive passes
6.8/90
40
line-breaking passes
4.7/90
124
defensive actions
14.7/90
13
tackles + interceptions
62% tackle win
33
clearances
3.9/90
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
in the first line of build-up — mostly in the middle third (61% of his 569 passes)
94% completion · 569× in 8/8 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
6.8 prog/90 · 40× in 8/8 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 20× in 7/8 matches
↓
PROGRESS
entries into the final third
7.4/90 · 62× in 8/8 matches
Signature: Receive → Break A Line → Switch Play → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 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 →
71
passes / match
14.7
def actions / 90
41–103
pass range (matches)
33
clearances
Pass range = his fewest and most passes in any single match this season (41 at the low end, 103 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

139 tracked carries (16.5/90, 31 progressive, 1203m 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.

5%21%22%12%1%2%13%10%10%2%1%1%
progressivelateral/short% of his 139 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 28m
By zone — where the carry started → where it ended
9Outside → Inside
101Inside → Inside
20Outside → Outside
9Inside → Outside
First (59)Second (44)Third (23)Fourth (13)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).

8
tackle duels
5
won
3
beaten · 38%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 62%
OUTSIDE 38%
Tackle-duel location — 5 inside · 3 outside
Right Wing
3 · 38%
Right Half-Space
4 · 50%
Central
1 · 12%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 3 of 8 tackle duels (38% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 0 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.

02

How does he build & move the ball?

How does he escape the first line?

16%
vertical passes
51×
5%
switches
15×
32%
carries
105×
48%
short circulation
156×
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 →RWRHSCLHSLWRW15836%5740%6320%323%41%2RHS29736%10816%4943%1284%12C7315%1116%1251%3715%113%2LHS714%129%229%229%2LW0FROM
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 — 4 progressive passes (10% of his progression) at 0.001 xT each. He moves it inside.

His progression is inward: 52% of progressive passes move the ball toward the middle versus 18% going wider — he cuts in rather than holding width.

Only 6% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 11 line-breaking passes and 62 final-third entries, 8.4 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
6%21%22%26%5%1%5%6%6%1%0%0%1%
completedincomplete569 passes · any zone → any zone · own goal left, attacking →
569
passes
94%
completed
34
lost
Vision AIIn line with his 94% season completion rate.
03

How does he progress play?

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

57
progressive · 6.8/90
62
final-third entries · 7.4/90
2
box entries · 0.24/90
24
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.
12

How does he create chances?

2 key passes (0.24/90), 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:
100%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
10

Where does he become vulnerable?

34 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.

3
attacking third (cheap)
17
middle third
14
own third (dangerous)
Vision AI 9% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.99 danger-index/90 · 0.494 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?

569
passes attempted
46%
mostly forward
48%
mostly medium
Direction
Forward
262 · 46%
Sideways
193 · 34%
Backward
114 · 20%
Length (completed)
Short (<15m)
242 · 45%
Medium
255 · 48%
Long (>30m)
38 · 7%
09

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.

0.480.390.340.340.330.32
own goal left, attacking →
Highest-value routes (xT)
0.48
Right Wing Def third → Right Half-Space Mid third
7 passes
0.39
Right Half-Space Mid third → Right Wing Mid third
6 passes
0.34
Right Wing Def third → Right Wing Mid third
5 passes
0.34
Right Half-Space Mid third → Central Att third
1 passes
0.33
Right Wing Def third → Right Half-Space Att third
1 passes
0.32
Right Half-Space Mid third → Right Wing Att third
3 passes
06

Where Does He Receive?

The zones where Sadibou Sané 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
36%
Primary
Right Half-Space, Middle third
16%
Secondary
Right Half-Space, Defensive third
16%
Third
Right 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 Sadibou Sané 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:
1135283636813511812414826
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.

6%21%22%26%5%1%5%6%6%1%0%0%1%
own goal left, attacking →
11

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
2Cross
57Progressive
40Long ball
20Switch
By zone — where the pass started → where it landed
99Outside → Inside
254Inside → Inside
59Outside → Outside
123Inside → Outside
By direction
262Forward
114Backward
193Sideways
own goal left, attacking →
04

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, advancing it forward in the defensive third — 7 passes worth 0.48 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays straight through the central, 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 right half-space in the final third: 12% of his 16 touches there are lost (2 times).
12%8/69 lost4%4/93 lost5%1/22 lost—3 touches · too few—1 touch · too few6%5/90 lost5%10/204 lost4%2/48 lost—4 touches · too few—0 touches · too few8%1/13 lost12%2/16 lost—6 touches · too few—0 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

124 defensive actions across the season (14.7/90). 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 →
8
tackles · 62% won
5
interceptions · 0.6/90
44
recoveries · 5.2/90
33
clearances · 3.9/90
9
blocks
28
avg action height
5
won high (att 3rd)
40
middle third
79
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 57 proactive ball-wins (6.8/90), tackle success 62%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Sadibou Sané 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 3.7, 2m)
86%
5.7
3.8
0.82
Mid press (PPDA 5.6, 2m)
95%
9.9
6.2
1.53
Low press (PPDA 8.7, 4m)
96%
5.7
4.5
1.57
Team

Team context

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

15

Impact on the Team

Insufficient sample: Sadibou Sané played nearly every Monaco 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 Monaco produced this season, the categories where the biggest share ran through Sadibou Sané specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
19%
169 / 894
interceptions
11%
43 / 390
final-third entries
11%
170 / 1613
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 515 centre-backs 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.

Stopper centre-back69%Ball-playing centre-back66%
Why Stopper centre-back 69%: a weighted blend of ball-winning 78 (weight 40%) + defensive aggression 44 (weight 35%) + retention 62 (weight 15%) + transition 76 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
carrying, ball-winning, progression, transition, receiving zones, line-breaking
Average
final-third threat, crossing, creativity, retention, build-up, through-balls, territory (wide vs central), defensive aggression, press resistance
Weak
passing directness, dribbling, box threat
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
81
Ball-winning
78
Progression
76
Transition ~proxy
76
Receiving zones
73
Line-breaking
71
Final-third threat
69
Crossing
68
Creativity
64
Retention
62
Build-up
62
Through-balls ~proxy
54
Territory (wide vs central)
51
Defensive aggression
44
Press resistance ~proxy
43
Passing directness
36
Dribbling
24
Box threat
22
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: 185 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.

Jorge Cuenca Fulham · Premier League · 190 cm / 75 kg
84%
Driven by: box threat (17%), carrying (13%), transition (13%). Different mechanism — Sané more via receiving zones; Cuenca more via build-up.
Daley Blind Girona · La Liga 25/26 · 180 cm / 72 kg
73%
Driven by: transition (15%), carrying (13%), ball-winning (12%). Different mechanism — Blind more via dribbling, through-balls.
Jaydee Canvot Crystal Palace · Premier League · 188 cm / 75 kg
72%
Driven by: ball-winning (18%), progression (11%), carrying (11%). Different mechanism — Sané more via transition; Canvot more via territory (wide vs central), box threat.
Michel Mboula Metz 25/26 · 185 cm
72%
Driven by: carrying (17%), transition (14%), progression (14%). Different mechanism — Sané more via defensive aggression; Mboula more via dribbling, line-breaking.
Noussair Mazraoui Man Utd · Premier League · 183 cm / 79 kg
67%
Driven by: ball-winning (16%), progression (14%), receiving zones (13%). Different mechanism — Sané more via build-up, transition; Mazraoui more via dribbling, territory (wide vs central).
Jhon Lucumí Juventus · Serie A · 187 cm / 84 kg
67%
Driven by: transition (16%), progression (12%), carrying (12%). Different mechanism — Sané more via territory (wide vs central), crossing; Lucumí more via dribbling, press resistance.
20

Summary

Sadibou Sané is a stopper centre-back / ball-playing centre-back: 94% pass completion, 40 line-breaking passes and 6.8 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 8 matches (759 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back / ball-playing centre-back — best used in a system built around that identity. His biggest room for growth is defensive aggression — even a modest improvement there would meaningfully lift his overall stopper centre-back 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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