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Player reportSerie A 2026

Paul Mendy

Cagliari
Complete forward ST
2.4 shots/90 with 0.70 key passes/90
Capability Analysis
Finishing24%vs 21 strikers
"Does he finish better than the quality of chance he gets?"
Goals above expected-0.7goals19%
Placement quality vs xG-0.19index43%
Shots on target14.010%
Box Threat48%vs 21 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.33xG48%
Shots /902.8357%
xGOT /900.31xGOT38%
Ball-Carrying33%vs 21 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /901.1514%
Carry distance /9032.52m14%
Successful take-ons /900.7143%
Take-on success42.11%62%
Aerial Threat0%vs 21 strikers
"Is he a genuine aerial outlet -- can he win headers, not just occupy space?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
strikerpressing forwardbox threatfinishing
641
minutes
9 apps
1
goals
1.97 xG
2.0
xG
17 shots
17
shots
0.12 xG/shot
3
box entries
0.42/90
5
key passes
0.70/90
14
dribbles
43% won
72%
pass completion
132 passes
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.

LINK
lay-off and combine
5 key passes · 72% completion · 132× in 9/9 matches
↓
FINISH
shoot from central zones
1.97 xG · 17× in 7/9 matches
↓
CONVERT
goals vs expected
1 goals (-1.0 vs xG) · 1× in 7/9 matches
Signature: Link → Finish → Convert — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 3× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
14

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 →
15
passes / match
2.3
dribbles / match
8–26
pass range (matches)
1–6
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (8 at the low end, 26 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

24 tracked carries (3.4/90, 6 progressive, 230m 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.

4%12%4%17%8%25%8%12%8%
progressivelateral/short% of his 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 23m
By zone — where the carry started → where it ended
1Outside → Inside
15Inside → Inside
7Outside → Outside
1Inside → Outside
First (13)Second (11)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he drop to link or stay central? Touches by channel. Season rate: 1.97 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 57%
OUTSIDE 43%
Dribble location — 8 inside · 6 outside
Right Wing
3 · 21%
Right Half-Space
4 · 29%
Central
2 · 14%
Left Half-Space
2 · 14%
Left Wing
3 · 21%
Vision AI His touches are central and high — a penalty-box striker.
04

How does he create chances?

5 key passes (0.70/90), 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:
20%40%20%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (3)from the right (2)of 5 key passes landing in the final thirdattacking ↑ toward goal
02

Can he finish?

17 shots · 1.97 xG · 1 goals (-0.97 vs xG). Mostly right-footed. Circle size = xG.

shots  17
on target  8
goals  1
xG  1.97
xG on target  1.94
xG / shot  0.116
Where he shoots from — click an area of the box
05

Where does he become vulnerable?

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

14
attacking third (cheap)
31
middle third
0
own third (dangerous)
Vision AI 31% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.73 danger-index/90 · 0.274 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

Where Does He Receive?

The zones where Paul Mendy 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
28%
Primary
Central, Middle third
21%
Secondary
Left Half-Space, 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 Paul Mendy 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:
15251112129191525785
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.

2%1%4%5%3%14%22%13%1%11%16%8%1%
own goal left, attacking →
09

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.

5Key pass
3Cutback
4Progressive
2Long ball
By zone — where the pass started → where it landed
11Outside → Inside
59Inside → Inside
12Outside → Outside
13Inside → Outside
By direction
40Forward
37Backward
55Sideways
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 →
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays straight through the central in the final third — 3 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: 50% of his 10 touches there are lost (5 times).
—0 touches · too few—2 touches · too few—0 touches · too few—0 touches · too few—0 touches · too few—4 touches · too few—4 touches · too few26%10/39 lost32%9/28 lost20%3/15 lost—3 touches · too few50%5/10 lost25%4/16 lost—5 touches · too few—6 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

11

How & where does he defend?

102 defensive actions across the season (14.3/90). 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 · 38% won
0
interceptions · 0.0/90
17
recoveries · 2.4/90
11
clearances · 1.5/90
4
blocks
51
avg action height
27
won high (att 3rd)
54
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. 25 proactive ball-wins (3.5/90), tackle success 38%. He defends high, stepping out to intercept — suits a high line.

Defensive work in the attacking half

Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.

56
attacking-half actions · 7.86/90
10

Against Different Pressing Intensities

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

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.7, 3m)
0.17
0.5
0.98
43%
Mid press (PPDA 4.6, 3m)
0.41
1.2
0.81
33%
Low press (PPDA 5.4, 3m)
0.15
0.0
0.38
50%
Team

Team context

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

12

Impact on the Team

Insufficient sample: Paul Mendy played nearly every Cagliari 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.

13

His Share of the Team

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

category
share
him / team
goals
12%
1 / 8
expected goals (xG)
8%
3.7 / 44.4
shots
7%
32 / 435
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

15

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 299 strikers 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.

Pressing forward69%Transition runner67%False 959%Poacher54%
Why Pressing forward 69%: a weighted blend of defensive aggression 66 (weight 45%) + ball-winning 62 (weight 30%) + transition 58 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
line-breaking
Average
passing directness, defensive aggression, dribbling, creativity, receiving zones, ball-winning, box threat, progression, press resistance, transition, retention, build-up
Weak
final-third threat, carrying, territory (wide vs central), through-balls, crossing
Unknown
aerial ability, marking, off-ball running — not in event data
Line-breaking
76
Passing directness
69
Defensive aggression
66
Dribbling
65
Creativity
64
Receiving zones
63
Ball-winning
62
Box threat
62
Progression
59
Press resistance ~proxy
59
Transition ~proxy
58
Retention
49
Build-up
44
Final-third threat
34
Carrying
31
Territory (wide vs central)
21
Through-balls ~proxy
10
Crossing
4
16

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) 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Charalampos Kostoulas Brighton · Premier League · 185 cm
56%
Driven by: crossing (33%), defensive aggression (19%), through-balls (18%). Different mechanism — Mendy more via line-breaking; Kostoulas more via carrying, final-third threat.
Sékou Mara Strasbourg · Ligue 1 · 184 cm / 73 kg
55%
Driven by: crossing (19%), through-balls (18%), defensive aggression (16%). Different mechanism — Mendy more via box threat, transition; Mara more via crossing.
Samuel Essende Augsburg · Bundesliga 25/26 · 192 cm / 88 kg
52%
Driven by: crossing (36%), through-balls (20%), defensive aggression (15%). Different mechanism — Mendy more via line-breaking, receiving zones; Essende more via carrying, dribbling.
Paris Brunner Monaco · Ligue 1 · 186 cm / 80 kg
49%
Driven by: crossing (31%), defensive aggression (11%), territory (wide vs central) (11%). Different mechanism — Mendy more via press resistance, retention; Brunner more via carrying, through-balls.
Igor Matanovic Freiburg · Bundesliga · 195 cm / 93 kg
49%
Driven by: territory (wide vs central) (24%), ball-winning (11%), carrying (10%). Different mechanism — Mendy more via progression, territory (wide vs central); Matanovic more via through-balls, crossing.
Carlos Espí Real Madrid · La Liga · 194 cm / 90 kg
48%
Driven by: crossing (24%), through-balls (12%), territory (wide vs central) (11%). Different mechanism — Mendy more via line-breaking, progression; Espí more via crossing.
17

Summary

Paul Mendy is a pressing forward / transition runner: 1 goals from 1.97 xG (-0.97 vs expected), 17 shots, 3 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 9 matches (641 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a pressing forward / transition runner — best used in a system built around that identity. His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall pressing forward 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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