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Player reportPremier League 2026

Nilson Angulo

Sunderland
Central midfielder AM
balanced central profile
Capability Analysis
Chance Creation12%vs 26 attacking mids
"Does he create real chances for others?"
Expected assists /900.02xA8%
Through balls /900.00%
Threat added by passing /900.45xT19%
Box entries (pass) /901.1119%
Box Threat14%vs 26 attacking mids
"Is he a genuine goal threat by shot volume and quality?"
xG /900.15xG27%
Shots /901.4212%
xGOT /900.13xGOT4%
Ball-Carrying46%vs 26 attacking mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.3427%
Carry distance /9074.99m12%
Successful take-ons /901.9288%
Take-on success36.54%58%
attacking midhalf-space creatorcreationbetween the lines
463
minutes
7 apps
1
key passes
0.19/90
6
progressive passes
1.2/90
5
box entries
0.97/90
3
final-3rd entries
0.6/90
1
goals
0.73 xG
31
dribbles
39% won
79%
pass completion
123 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.

RECEIVE
Left Wing, Attacking third — between the lines — mostly in the attacking third (59% of his 123 passes)
79% completion · 123× in 7/7 matches
↓
TURN / BEAT MAN
face forward in the pocket
39% won · 31× in 6/7 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 0.73 xG · 7× in 3/7 matches
Signature: Receive → Turn / Beat Man → Finish — 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: create — 1× (insufficient confidence, hidden — not enough evidence yet) — 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 →
18
passes / match
5.2
dribbles / match
6–29
pass range (matches)
2–8
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (6 at the low end, 29 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.

05

How dangerous are his carries?

Real ball-carries

30 tracked carries (5.8/90, 14 progressive, 379m 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.

3%10%13%23%47%3%
progressivelateral/short% of his 30 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 11m, longest 43m
By zone — where the carry started → where it ended
4Outside → Inside
4Inside → Inside
21Outside → Outside
1Inside → Outside
First (26)Second (4)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he carry to create or drift wide? Dribbles by channel. Season rate: 6.03 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 26%
OUTSIDE 74%
Dribble location — 8 inside · 23 outside
Right Wing
5 · 16%
Right Half-Space
0 · 0%
Central
2 · 6%
Left Half-Space
6 · 19%
Left Wing
18 · 58%
Vision AI His carries cluster wide — a drifting playmaker.
02

How does he create chances?

1 key passes (0.19/90), 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 (1)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 (1)from the right (0)of 1 key passes landing in the final thirdattacking ↑ toward goal
09

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.

27
attacking third (cheap)
13
middle third
5
own third (dangerous)
Vision AI 60% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.87 danger-index/90 · 0.214 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03

Where Does He Receive?

The zones where Nilson Angulo 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
34%
Primary
Left Wing, Attacking third
23%
Secondary
Left Wing, Middle third
16%
Third
Left Half-Space, Attacking third
These are the zones where he collected the ball most.
04

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Nilson Angulo 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:
11214275617323761237
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%2%2%2%2%1%2%3%1%1%7%8%20%37%12%
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.

1Key pass
3Cross
1Cutback
6Progressive
7Long ball
1Switch
By zone — where the pass started → where it landed
24Outside → Inside
23Inside → Inside
47Outside → Outside
3Inside → Outside
By direction
30Forward
46Backward
47Sideways
own goal left, attacking →
08

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 left hs in the final third — 2 passes worth 0.33 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays straight through the left hs in the final 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 left half-space in the final third: 33% of his 21 touches there are lost (7 times).
—0 touches · too few—1 touch · too few—1 touch · too few—4 touches · too few—6 touches · too few—2 touches · too few—0 touches · too few—3 touches · too few—3 touches · too few23%7/31 lost—3 touches · too few—2 touches · too few—3 touches · too few33%7/21 lost9%4/43 lostRWRHSCLHSLWDEFMIDATT
07

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 30 ball-carries, his dominant tendency is that he drives along the touchline (70%). He carries from outside into the middle 4 times and out toward the touchline 1 — 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
7 · 23%
Simple pass
12 · 40%
No clean link
11 · 37%
Of 30 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. 37% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

12

How & where does he defend?

71 defensive actions across the season (13.8/90). 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 →
9
tackles · 56% won
7
interceptions · 1.4/90
15
recoveries · 2.9/90
1
clearances · 0.2/90
5
blocks
53
avg action height
21
won high (att 3rd)
32
middle third
18
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 31 proactive ball-wins (6.0/90), tackle success 56%. 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.

42
attacking-half actions · 8.16/90
11

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Nilson Angulo keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.6, 2m)
0.63
2.0
0.00
29%
Mid press (PPDA 4.4, 2m)
0.71
1.3
0.63
54%
Low press (PPDA 5.4, 3m)
0.32
0.5
0.00
27%
Team

Team context

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

13

Impact on the Team

Sunderland's output per match with Nilson Angulo (7 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 (7)
WITHOUT (1)
Δ
goals for /match
0.86
0.00
+0.86
xG for /match
1.59
0.12
+1.47
goals against /match
1.71
2.00
-0.29
points /match
0.71
0.00
+0.71
14

His Share of the Team

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

category
share
him / team
goals
17%
1 / 6
successful take-ons
7%
19 / 270
interceptions
3%
12 / 407
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 247 attacking 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.

Half-space creator25%Advanced playmaker (8)21%
Why Half-space creator 25%: a weighted blend of dribbling 75 (weight 15%) + creativity 21 (weight 40%) + final-third threat 27 (weight 30%) + box threat 26 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central)
Strong
dribbling
Average
ball-winning, through-balls, press resistance, defensive aggression, crossing, retention, line-breaking
Weak
passing directness, carrying, progression, build-up, receiving zones, final-third threat, transition, box threat, creativity
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
95
Dribbling
75
Ball-winning
67
Through-balls ~proxy
66
Press resistance ~proxy
63
Defensive aggression
61
Crossing
50
Retention
50
Line-breaking
44
Passing directness
39
Carrying
37
Progression
35
Build-up
34
Receiving zones
30
Final-third threat
27
Transition ~proxy
26
Box threat
26
Creativity
21
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: 184 cm / 69 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.

Josué Casimir Auxerre · Ligue 1 · 178 cm / 69 kg
79%
Driven by: territory (wide vs central) (21%), creativity (17%), transition (15%). Different mechanism — Angulo more via dribbling, carrying.
Kareem Tunde Levante · La Liga · 177 cm
74%
Driven by: creativity (19%), territory (wide vs central) (12%), transition (11%). Different mechanism — Angulo more via through-balls, line-breaking; Tunde more via defensive aggression.
Benja Domínguez Sassuolo · Serie A · 172 cm / 68 kg
69%
Driven by: transition (17%), box threat (13%), territory (wide vs central) (11%). Different mechanism — Angulo more via through-balls, line-breaking; Domínguez more via defensive aggression.
Yankuba Minteh Brighton 25/26 · 180 cm / 65 kg
67%
Driven by: territory (wide vs central) (19%), build-up (14%), dribbling (14%). Different mechanism — Angulo more via retention; Minteh more via transition, progression.
Carlos Martín Atletico · La Liga · 184 cm / 73 kg
65%
Driven by: creativity (20%), transition (19%), territory (wide vs central) (9%). Different mechanism — Angulo more via carrying, territory (wide vs central); Martín more via box threat, build-up.
Fran Pérez Rayo Vallecano · La Liga · 176 cm / 68 kg
61%
Driven by: creativity (23%), territory (wide vs central) (17%), final-third threat (14%). Different mechanism — Angulo more via through-balls, passing directness; Pérez more via transition.
18

Summary

Nilson Angulo is a half-space creator: 0.19 key passes /90, 1.2 progressive passes, 1 goals from 0.73 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]

Based on 7 matches (463 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator — best used in a system built around that identity. His biggest room for growth is creativity — even a modest improvement there would meaningfully lift his overall half-space creator 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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