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Player reportLigue 1 2026

Moustapha Mbow

Paris FC
Ball-playing centre-back CB
6.7 progressive passes/90 · 0.6 line-breaking/90
centre-backstopper centre-backbuild-upline-breaking
308
minutes
5 apps
225
passes
97% completed
97%
pass completion
225 passes
23
progressive passes
6.7/90
4
line-breaking passes
1.2/90
45
defensive actions
13.1/90
7
tackles + interceptions
71% tackle win
13
clearances
3.8/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Moustapha Mbow has played 5 matches (308 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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 defensive third (58% of his 225 passes)
97% completion · 225× in 5/5 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
6.7 prog/90 · 4× in 2/5 matches
↓
PROGRESS
entries into the final third
2.3/90 · 8× in 1/5 matches
Signature: Receive → Break A Line → Progress — the only steps proven repeatable this season (3 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 2× (low confidence, shown as a number only, no tactical conclusion drawn); switch play — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
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 →
45
passes / match
13.1
def actions / 90
1–117
pass range (matches)
13
clearances
Pass range = his fewest and most passes in any single match this season (1 at the low end, 117 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

45 tracked carries (13.1/90, 3 progressive, 288m 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.

4%11%18%4%13%22%16%4%4%2%
progressivelateral/short% of his 45 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 5m, longest 15m
By zone — where the carry started → where it ended
2Outside → Inside
39Inside → Inside
3Outside → Outside
1Inside → Outside
First (17)Second (14)Third (14)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).

7
tackle duels
5
won
2
beaten · 29%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 71%
OUTSIDE 29%
Tackle-duel location — 5 inside · 2 outside
Right Wing
2 · 29%
Right Half-Space
2 · 29%
Central
2 · 29%
Left Half-Space
1 · 14%
Left Wing
0 · 0%
Vision AI beaten in 2 of 7 tackle duels (29% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 1 dribble 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?

9%
vertical passes
18×
1%
switches
2×
21%
carries
40×
69%
short circulation
134×
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 →RWRHSCLHSLWRW2322%557%1322%5RHS6748%3210%737%254%3C1132%227%3128%3240%453%3LHS138%131%431%431%4LW333%167%2FROM
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 (33% of his progression) at 0.030 xT each. He moves it inside.

His progression is inward: 83% of progressive passes move the ball toward the middle versus 17% going wider — he cuts in rather than holding width.

Only 2% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 2 line-breaking passes and 8 final-third entries, 2.1 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%15%9%4%1%4%31%20%6%0%2%1%0%
completedincomplete225 passes · any zone → any zone · own goal left, attacking →
225
passes
97%
completed
6
lost
Vision AIIn line with his 97% season completion rate.
04

How does he progress play?

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

23
progressive · 6.7/90
8
final-third entries · 2.3/90
0
box entries · 0.00/90
11
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?

0 key passes (0.00/90), 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 (0)assist (0)% of the selected group's key passes originating in each zone
05

What is his passing profile?

225
passes attempted
56%
mostly sideways
58%
mostly short
Direction
Forward
75 · 33%
Sideways
125 · 56%
Backward
25 · 11%
Length (completed)
Short (<15m)
128 · 58%
Medium
84 · 38%
Long (>30m)
7 · 3%
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.

0.310.250.180.170.080.07
own goal left, attacking →
Highest-value routes (xT)
0.31
Right Half-Space Mid third → Right Wing Mid third
6 passes
0.25
Right Half-Space Def third → Right Wing Mid third
5 passes
0.18
Right Half-Space Mid third → Right Wing Att third
3 passes
0.17
Right Wing Mid third → Right Wing Att third
2 passes
0.08
Central Mid third → Right Half-Space Mid third
1 passes
0.07
Right Half-Space Def third → Right Half-Space Mid third
1 passes
06

Where Does He Receive?

The zones where Moustapha Mbow 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
30%
Primary
Central, Defensive third
20%
Secondary
Central, Middle third
18%
Third
Right Half-Space, Defensive 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 Moustapha Mbow 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:
14311069451314342192
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%15%9%4%1%4%31%20%6%0%2%1%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.

23Progressive
4Long ball
2Switch
By zone — where the pass started → where it landed
19Outside → Inside
152Inside → Inside
7Outside → Outside
41Inside → Outside
By direction
75Forward
25Backward
125Sideways
own goal left, attacking →
03

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 right hs to the right wing in the middle third — 6 passes worth 0.31 xT.
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 defensive third: 14% of his 14 touches there are lost (2 times).
14%2/14 lost2%1/40 lost0%0/67 lost0%0/9 lost—1 touch · too few10%1/10 lost3%1/29 lost2%1/46 lost—4 touches · too few—2 touches · too few—2 touches · too few—0 touches · too few—1 touch · too few—0 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

12

How & where does he defend?

45 defensive actions across the season (13.1/90). 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 · 71% won
0
interceptions · 0.0/90
12
recoveries · 3.5/90
13
clearances · 3.8/90
3
blocks
31
avg action height
5
won high (att 3rd)
10
middle third
30
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 19 proactive ball-wins (5.6/90), tackle success 71%. He defends mostly around the middle third.
Team

Team context

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

13

Impact on the Team

Paris FC's output per match with Moustapha Mbow (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 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 (5)
WITHOUT (3)
Δ
goals against /match
1.60
0.33
+1.27
points /match
2.00
1.33
+0.67
goals for /match
2.00
1.00
+1.00
xG for /match
1.76
1.26
+0.50
14

His Share of the Team

Of everything Paris FC produced this season, the categories where the biggest share ran through Moustapha Mbow specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
17%
175 / 1030
interceptions
11%
39 / 346
ball recoveries
9%
147 / 1725
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 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-back71%Ball-playing centre-back71%
Why Stopper centre-back 71%: a weighted blend of ball-winning 65 (weight 40%) + defensive aggression 60 (weight 35%) + retention 84 (weight 15%) + transition 60 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
retention, build-up, press resistance
Average
crossing, ball-winning, transition, defensive aggression, dribbling, carrying, passing directness, territory (wide vs central)
Weak
final-third threat, box threat, progression, creativity, through-balls, receiving zones, line-breaking
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
84
Build-up
77
Press resistance ~proxy
71
Crossing
65
Ball-winning
65
Transition ~proxy
60
Defensive aggression
60
Dribbling
58
Carrying
53
Passing directness
53
Territory (wide vs central)
45
Final-third threat
29
Box threat
25
Progression
23
Creativity
17
Through-balls ~proxy
14
Receiving zones
13
Line-breaking
9
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: 192 cm / 74 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.

Mamadou Sarr Real Sociedad · La Liga · 194 cm / 77 kg
79%
Driven by: build-up (18%), retention (16%), press resistance (11%). Different mechanism — Mbow more via passing directness, ball-winning; Sarr more via receiving zones, through-balls.
Torbjørn Heggem Bologna · Serie A · 192 cm / 80 kg
78%
Driven by: creativity (15%), retention (12%), receiving zones (12%). Different mechanism — Mbow more via passing directness, defensive aggression; Heggem more via dribbling, carrying.
Luka Lochoshvili Koln · Bundesliga · 191 cm / 84 kg
78%
Driven by: build-up (14%), receiving zones (13%), creativity (12%). Different mechanism — Mbow more via crossing, ball-winning; Lochoshvili more via box threat.
Vitor Reis Man City · Premier League · 186 cm / 67 kg
77%
Driven by: through-balls (13%), line-breaking (13%), retention (12%). Different mechanism — Mbow more via crossing, defensive aggression; Reis more via carrying, receiving zones.
Juan Rodríguez Cagliari · Serie A · 190 cm / 80 kg
76%
Driven by: creativity (19%), receiving zones (15%), build-up (10%). Different mechanism — Mbow more via crossing, transition; Rodríguez more via line-breaking.
Max Rosenfelder Freiburg · Bundesliga · 187 cm / 85 kg
74%
Driven by: creativity (21%), receiving zones (14%), line-breaking (12%). Different mechanism — Mbow more via defensive aggression, final-third threat.
18

Summary

Moustapha Mbow is a stopper centre-back / ball-playing centre-back: 97% pass completion, 4 line-breaking passes and 6.7 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 5 matches (308 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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