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Player reportSerie A 2026

Wesley

Roma
Advanced playmaker CM
2.71 key passes/90 · 0.97 xT/90
Capability Analysis
Successful Dribble26%vs 34 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.5341%
Take-on success25.33%12%
Progression68%vs 34 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /908.0788%
Line-breaking passes /902.2274%
Threat added by passing /901.27xT74%
Pass accuracy77.95%35%
Ball-Carrying47%vs 34 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /905.4379%
Carry distance /90110.73m56%
Successful take-ons /900.5341%
Take-on success25.33%12%
Chance Creation51%vs 34 central mids
"Does he create real chances for others?"
Expected assists /900.06xA41%
Through balls /900.00%
Threat added by passing /901.27xT74%
Box entries (pass) /902.3388%
central midbox-to-box runnerprogressionbox-to-box
597
minutes
8 apps
16
progressive passes
2.4/90
80%
pass completion
376 passes
18
key passes
2.71/90
8
box entries
1.21/90
19
final-3rd entries
2.9/90
10
dribbles
50% won
81
possessions lost
3.14 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 Wing, Middle third — mostly in the middle third (45% of his 376 passes)
80% completion · 376× in 8/8 matches
↓
PROGRESS
drive or pass into the final third
2.4 prog/90 · 16× in 7/8 matches
↓
ARRIVE
get into the box late
18 key passes · 8× in 3/8 matches
↓
CREATE / FINISH
cut-back or shot from inside
2.71 key passes /90 · 0 goals · 24× in 5/8 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
20

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 →
47
passes / match
1.4
dribbles / match
15–69
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (15 at the low end, 69 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.

10

How dangerous are his carries?

Real ball-carries

93 tracked carries (14.0/90, 26 progressive, 856m 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%1%9%4%1%11%14%17%27%14%
progressivelateral/short% of his 93 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 26m
By zone — where the carry started → where it ended
15Outside → Inside
6Inside → Inside
67Outside → Outside
5Inside → Outside
First (34)Second (27)Third (16)Fourth (16)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Wesley'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: 1.51 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 30%
OUTSIDE 70%
Dribble location — 3 inside · 7 outside
Right Wing
1 · 10%
Right Half-Space
1 · 10%
Central
1 · 10%
Left Half-Space
1 · 10%
Left Wing
6 · 60%
Vision AI 70% 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.
11

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 →RWRHSCLHSLWRW5571%3925%144%2RHS1619%350%831%5C520%120%140%220%1LHS343%135%1244%1518%6LW1901%11%17%1333%6359%112FROM
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 final third → the left half-space in the final third — 17 progressive passes (25% of his progression) at 0.132 xT each. He moves it inside.

His progression is inward: 65% of progressive passes move the ball toward the middle versus 0% 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: 19 line-breaking passes and 19 final-third entries, 6.4 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
1%1%5%6%7%4%0%1%1%1%0%2%9%16%17%19%10%
completedincomplete376 passes · any zone → any zone · own goal left, attacking →
376
passes
80%
completed
76
lost
Vision AIIn line with his 80% season completion rate.
05

How does he progress play?

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

16
progressive · 2.4/90
19
final-third entries · 2.9/90
8
box entries · 1.21/90
33
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.
03

How does he create chances?

18 key passes (2.71/90), 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%6%33%50%
chance creation (18)assist (0)% of the selected group's key passes originating in each zone
07

Where does he become vulnerable?

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

42
attacking third (cheap)
29
middle third
10
own third (dangerous)
Vision AI 52% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 3.14 danger-index/90 · 0.257 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
13

What is his passing profile?

376
passes attempted
36%
mostly forward
65%
mostly short
Direction
Forward
136 · 36%
Sideways
116 · 31%
Backward
124 · 33%
Length (completed)
Short (<15m)
195 · 65%
Medium
101 · 34%
Long (>30m)
4 · 1%
12

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.

0.500.460.350.260.210.14
own goal left, attacking →
Highest-value routes (xT)
0.50
Left Wing Att third → Left Half-Space Att third
2 passes
0.46
Left Wing Mid third → Left Wing Att third
4 passes
0.35
Left Wing Att third → Left Wing Att third
2 passes
0.26
Left Wing Att third → Central Att third
1 passes
0.21
Left Wing Mid third → Left Half-Space Att third
1 passes
0.14
Right Wing Att third → Right Wing Att third
1 passes
08

Where Does He Receive?

The zones where Wesley 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
Left Wing, Middle third
20%
Secondary
Left Wing, Attacking third
10%
Third
Right Wing, Middle third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Wesley 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:
83264667638122632518232917
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.

1%1%5%6%7%4%0%1%1%1%0%2%9%16%17%19%10%
own goal left, attacking →
14

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.

18Key pass
13Cross
13Cutback
16Progressive
30Long ball
4Switch
By zone — where the pass started → where it landed
93Outside → Inside
45Inside → Inside
152Outside → Outside
10Inside → Outside
By direction
136Forward
124Backward
116Sideways
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 plays inside from the left wing toward the left hs in the final third — 2 passes worth 0.50 xT.
Where do his chances come from?
Of 18 key passes, his busiest route is a delivery where he plays inside from the left wing toward the central in the final third — 4 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 half-space in the final third: 41% of his 34 touches there are lost (14 times).
—2 touches · too few—5 touches · too few—1 touch · too few—5 touches · too few24%8/34 lost22%8/36 lost—4 touches · too few—4 touches · too few23%3/13 lost12%14/114 lost26%9/34 lost11%1/9 lost—5 touches · too few41%14/34 lost16%12/76 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 93 ball-carries, his dominant tendency is that he drives along the touchline (72%). He carries from outside into the middle 15 times and out toward the touchline 5 — a genuine inside forward who cuts in with the ball.
06

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
0 · 0%
Progressive / key pass
21 · 23%
Simple pass
52 · 56%
No clean link
20 · 22%
Of 93 carries, 0% flow straight into a shot of his own, 23% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 22% have no clean link to a next touch of his own close to where the carry ended.
15

Crosses & Cutbacks

13 crosses (1.96/90, 5 completed) and 13 cutbacks (1.96/90, 7 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.

16

How & where does he defend?

90 defensive actions across the season (13.6/90). 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 →
14
tackles · 43% won
5
interceptions · 0.8/90
36
recoveries · 5.4/90
6
clearances · 0.9/90
4
blocks
39
avg action height
8
won high (att 3rd)
45
middle third
37
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 55 proactive ball-wins (8.3/90), tackle success 43%. He defends mostly around the middle third.
17

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Wesley keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 5.4, 2m)
0.83
1.6
0.79
0%
Mid press (PPDA 6.2, 2m)
1.32
1.4
3.37
67%
Low press (PPDA 8.1, 4m)
2.19
3.3
3.04
50%
Team

Team context

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

18

Impact on the Team

Roma's output per match with Wesley (8 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 (8)
WITHOUT (1)
Δ
goals for /match
2.62
2.00
+0.62
xG for /match
2.00
1.88
+0.12
goals against /match
1.00
0.00
+1.00
points /match
2.25
3.00
-0.75
19

His Share of the Team

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

category
share
him / team
box entries
12%
83 / 721
progressive passes
11%
287 / 2503
half-space entries
8%
129 / 1598
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

21

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.

Box-to-box runner71%Advanced playmaker (8)66%Transition runner59%Deep-lying playmaker45%
Why Box-to-box runner 71%: a weighted blend of progression 85 (weight 25%) + transition 60 (weight 30%) + ball-winning 69 (weight 20%) + box threat 47 (weight 15%) + defensive aggression 59 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central)
Strong
progression, through-balls, line-breaking, crossing
Average
ball-winning, final-third threat, carrying, receiving zones, transition, defensive aggression, creativity, box threat
Weak
build-up, press resistance, retention, dribbling, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
94
Progression
85
Through-balls ~proxy
82
Line-breaking
81
Crossing
77
Ball-winning
69
Final-third threat
69
Carrying
67
Receiving zones
62
Transition ~proxy
60
Defensive aggression
59
Creativity
53
Box threat
47
Build-up
34
Press resistance ~proxy
33
Retention
31
Dribbling
30
Passing directness
24
22

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: 175 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 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.

Alessio Castro-Montes Koln · Bundesliga · 175 cm / 67 kg
87%
Driven by: progression (15%), crossing (14%), through-balls (10%). Different mechanism — Castro-Montes more via passing directness, creativity.
Kassoum Ouattara Monaco · Ligue 1 25/26 · 176 cm / 73 kg
83%
Driven by: territory (wide vs central) (18%), ball-winning (13%), progression (12%). Different mechanism — Wesley more via receiving zones, retention; Ouattara more via passing directness.
Zeki Çelik Juventus · 180 cm / 78 kg
82%
Driven by: crossing (18%), territory (wide vs central) (16%), dribbling (12%). Different mechanism — Çelik more via build-up, retention.
Ruben Aguilar Lens · Ligue 1 · 172 cm / 70 kg
80%
Driven by: territory (wide vs central) (16%), crossing (16%), progression (15%). Different mechanism — Aguilar more via passing directness, build-up.
Rémy Cabella Nantes · Ligue 1 25/26 · 171 cm / 68 kg
76%
Driven by: crossing (16%), progression (15%), line-breaking (10%). Different mechanism — Cabella more via creativity, box threat.
Kevin Stöger Borussia Monchengladbach · Bundesliga · 176 cm / 74 kg
75%
Driven by: progression (15%), crossing (15%), through-balls (13%). Different mechanism — Wesley more via territory (wide vs central); Stöger more via build-up, box threat.
23

Summary

Wesley is a box-to-box runner / advanced playmaker (8): 2.4 progressive passes, 2.71 key passes /90, 8 box entries, 0 goals from 0.37 xG. A box-to-box contributor across every phase.

Based on 8 matches (597 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a box-to-box runner / advanced playmaker (8) — best used in a system built around that identity. His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall box-to-box runner profile.
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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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