العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportPremier League 2025/26

Noussair Mazraoui

Man Utd
Ball-playing centre-back CB
4.4 progressive passes/90 · 1.8 line-breaking/90
centre-backstopper centre-backbuild-upline-breaking
1222
minutes
24 apps
732
passes
87% completed
87%
pass completion
732 passes
60
progressive passes
4.4/90
64
line-breaking passes
4.7/90
228
defensive actions
16.8/90
46
tackles + interceptions
55% tackle win
70
clearances
5.2/90
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 (51% of his 732 passes)
87% completion · 732× in 23/23 matches
↓
CARRY OUT
step into midfield to commit a presser
22 carries · 44× in 13/23 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
4.4 prog/90 · 64× in 17/23 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 10× in 9/23 matches
↓
PROGRESS
entries into the final third
4.9/90 · 67× in 17/23 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
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 →
32
passes / match
16.8
def actions / 90
2–83
pass range (matches)
70
clearances
Pass range = his fewest and most passes in any single match this season (2 at the low end, 83 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.

09

How dangerous are his carries?

Real ball-carries

167 tracked carries (12.3/90, 50 progressive, 1542m 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%17%20%19%7%4%4%3%2%2%1%2%2%7%3%
progressivelateral/short% of his 167 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 38m
By zone — where the carry started → where it ended
21Outside → Inside
61Inside → Inside
71Outside → Outside
14Inside → Outside
First (78)Second (56)Third (20)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).

31
tackle duels
17
won
14
beaten · 45%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 35%
OUTSIDE 65%
Tackle-duel location — 11 inside · 20 outside
Right Wing
20 · 65%
Right Half-Space
6 · 19%
Central
3 · 10%
Left Half-Space
2 · 6%
Left Wing
0 · 0%
Vision AI beaten in 14 of 31 tackle duels (45% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

For a centre-back the carry is a build-up weapon — does he step out through the middle, or keep it simple? Every carry classified by channel. Season rate: 1.62 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 23%
OUTSIDE 77%
Dribble location — 5 inside · 17 outside
Right Wing
13 · 59%
Right Half-Space
3 · 14%
Central
1 · 5%
Left Half-Space
1 · 5%
Left Wing
4 · 18%
Vision AI 23% of his carries are central — he steps out through the middle to draw a presser before releasing.
02

How does he build & move the ball?

How does he escape the first line?

15%
vertical passes
45×
1%
switches
4×
30%
carries
93×
54%
short circulation
164×
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 →RWRHSCLHSLWRW31362%19434%1064%111%2RHS17431%5434%6031%543%51%1C4312%523%1051%2212%52%1LHS393%18%344%1746%18LW652%12%140%2657%37FROM
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 — 9 progressive passes (12% of his progression) at 0.008 xT each. He moves it inside.

His progression is inward: 45% of progressive passes move the ball toward the middle versus 3% going wider — he cuts in rather than holding width.

Only 3% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 25 line-breaking passes and 67 final-third entries, 9.9 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%14%18%20%13%5%0%2%3%3%2%0%1%2%3%5%3%1%
completedincomplete732 passes · any zone → any zone · own goal left, attacking →
732
passes
87%
completed
98
lost
Vision AIIn line with his 87% season completion rate.
03

How does he progress play?

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

60
progressive · 4.4/90
67
final-third entries · 4.9/90
4
box entries · 0.29/90
23
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.
13

How does he create chances?

9 key passes (0.66/90), 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:
11%22%33%11%22%
chance creation (9)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

112 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.

38
attacking third (cheap)
32
middle third
42
own third (dangerous)
Vision AI 34% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.39 danger-index/90 · 0.411 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?

732
passes attempted
43%
mostly forward
65%
mostly short
Direction
Forward
314 · 43%
Sideways
242 · 33%
Backward
176 · 24%
Length (completed)
Short (<15m)
409 · 65%
Medium
198 · 31%
Long (>30m)
27 · 4%
10

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.

0.720.670.620.430.420.36
own goal left, attacking →
Highest-value routes (xT)
0.72
Right Half-Space Mid third → Right Half-Space Att third
4 passes · 1 to a shot
0.67
Right Half-Space Mid third → Right Wing Att third
5 passes · 1 to a shot
0.62
Right Wing Mid third → Right Wing Att third
5 passes
0.43
Right Wing Mid third → Right Half-Space Att third
2 passes · 1 to a shot
0.42
Right Wing Mid third → Right Wing Mid third
6 passes
0.36
Right Half-Space Mid third → Right Half-Space Mid third
4 passes
07

Where Does He Receive?

The zones where Noussair Mazraoui 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
26%
Primary
Right Wing, Middle third
13%
Secondary
Right Half-Space, Middle third
13%
Third
Right Wing, Attacking third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Noussair Mazraoui 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:
618263621831619201524211013414610236
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%14%18%20%13%5%0%2%3%3%2%0%1%2%3%5%3%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.

9Key pass
4Cross
7Cutback
60Progressive
64Long ball
10Switch
By zone — where the pass started → where it landed
147Outside → Inside
177Inside → Inside
231Outside → Outside
79Inside → Outside
By direction
314Forward
176Backward
242Sideways
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 straight through the right hs, advancing it forward in the middle third — 4 passes worth 0.72 xT.
Where do his chances come from?
Of 9 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central in the final third — 2 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 wing in the defensive third: 29% of his 14 touches there are lost (4 times).
23%21/92 lost19%11/59 lost15%2/13 lost—7 touches · too few29%4/14 lost8%16/189 lost7%7/97 lost8%2/25 lost0%0/20 lost7%3/45 lost22%19/88 lost23%11/47 lost0%0/9 lost7%1/14 lost0%0/13 lostRWRHSCLHSLWDEFMIDATT
12

Crosses & Cutbacks

4 crosses (0.29/90, 0 completed) and 7 cutbacks (0.52/90, 3 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.

14

How & where does he defend?

228 defensive actions across the season (16.8/90). 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 →
31
tackles · 55% won
15
interceptions · 1.1/90
51
recoveries · 3.8/90
70
clearances · 5.2/90
18
blocks
28
avg action height
14
won high (att 3rd)
67
middle third
147
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 97 proactive ball-wins (7.1/90), tackle success 55%. He defends deep, protecting his box — a last-line stopper.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Noussair Mazraoui 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 ~8-8 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.3, 8m)
87%
2.9
4.6
0.88
Mid press (PPDA 5.8, 8m)
89%
5.5
4.6
1.34
Low press (PPDA 7.7, 8m)
84%
4.9
4.9
1.45
Team

Team context

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

16

Impact on the Team

Man Utd's output per match with Noussair Mazraoui (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. 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 (4)
WITHOUT (4)
Δ
goals against /match
1.75
1.50
+0.25
points /match
1.25
0.50
+0.75
goals for /match
2.00
0.50
+1.50
xG for /match
1.99
1.23
+0.75
17

His Share of the Team

Of everything Man Utd produced this season, the categories where the biggest share ran through Noussair Mazraoui specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
6%
70 / 1268
final-third entries
3%
82 / 2548
tackles
3%
31 / 964
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 513 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-back66%Ball-playing centre-back56%
Why Stopper centre-back 66%: a weighted blend of ball-winning 80 (weight 40%) + defensive aggression 46 (weight 35%) + retention 48 (weight 15%) + transition 57 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, line-breaking, territory (wide vs central), progression, crossing
Strong
final-third threat, through-balls, ball-winning, creativity
Average
carrying, dribbling, transition, retention, press resistance, defensive aggression, build-up
Weak
box threat, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
97
Line-breaking
95
Territory (wide vs central)
91
Progression
87
Crossing
86
Final-third threat
83
Through-balls ~proxy
81
Ball-winning
80
Creativity
77
Carrying
69
Dribbling
65
Transition ~proxy
57
Retention
48
Press resistance ~proxy
47
Defensive aggression
46
Build-up
42
Box threat
38
Passing directness
21
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: 183 cm / 79 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 Premier League, Bundesliga, La Liga, Ligue 1 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.

Jonny Alaves · La Liga · 175 cm / 70 kg
89%
Driven by: territory (wide vs central) (11%), crossing (11%), ball-winning (9%). Different mechanism — Mazraoui more via receiving zones.
Malo Gusto Chelsea · 178 cm / 67 kg
89%
Driven by: receiving zones (15%), creativity (13%), ball-winning (10%). Different mechanism — Mazraoui more via passing directness, carrying; Gusto more via defensive aggression, creativity.
Nahuel Molina Roma · Serie A · 175 cm / 70 kg
88%
Driven by: receiving zones (14%), creativity (13%), progression (10%). Different mechanism — Mazraoui more via retention; Molina more via box threat, defensive aggression.
Olivier Boscagli Brighton · 181 cm / 68 kg
87%
Driven by: progression (13%), receiving zones (13%), final-third threat (12%). Different mechanism — Mazraoui more via territory (wide vs central); Boscagli more via defensive aggression, passing directness.
Tino Livramento Newcastle · 183 cm / 71 kg
87%
Driven by: receiving zones (14%), crossing (13%), line-breaking (12%). Different mechanism — Mazraoui more via ball-winning, carrying.
Victor Chust Elche · La Liga · 182 cm / 77 kg
86%
Driven by: receiving zones (16%), progression (13%), final-third threat (12%). Different mechanism — Mazraoui more via territory (wide vs central).
21

Summary

Noussair Mazraoui is a stopper centre-back / ball-playing centre-back: 87% pass completion, 64 line-breaking passes and 4.4 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 24 matches (1222 minutes) — a reasonable read, still building toward a full-season sample. 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.

Vision AI · building report