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Player reportPremier League 2026

João Pedro

Chelsea
Penalty-box poacher ST
2.7 shots/90 · 0.14 xG per shot — shoots from high-value spots · 0.38 xG/90
Capability Analysis
Finishing69%vs 18 strikers
"Does he finish better than the quality of chance he gets?"
Goals above expected5.26goals89%
Placement quality vs xG-1.37index39%
Shots on target60.078%
Box Threat59%vs 18 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.4xG61%
Shots /902.4156%
xGOT /900.36xGOT61%
Ball-Carrying75%vs 18 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /902.3872%
Carry distance /9070.32m83%
Successful take-ons /901.2778%
Take-on success41.23%67%
Aerial Threat0%vs 18 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%
strikerpoacherbox threatfinishing
541
minutes
6 apps
5
goals
2.25 xG
2.3
xG
16 shots
16
shots
0.14 xG/shot
3
box entries
0.50/90
7
key passes
1.16/90
17
dribbles
41% won
67%
pass completion
126 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 / MOVE
occupy the box, drop or run channel — mostly in the middle third (53% of his 126 passes)
0.50 box entries/90 · 3× in 3/6 matches
↓
LINK
lay-off and combine
7 key passes · 67% completion · 126× in 6/6 matches
↓
FINISH
shoot from central zones
2.25 xG · 16× in 6/6 matches
↓
CONVERT
goals vs expected
5 goals (+2.7 vs xG) · 5× in 6/6 matches
Signature: occupy / move → link → shoot → convert.
16

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 →
21
passes / match
2.8
dribbles / match
16–25
pass range (matches)
1–6
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (16 at the low end, 25 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

36 tracked carries (6.0/90, 9 progressive, 372m 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%11%8%6%11%8%8%6%17%11%11%
progressivelateral/short% of his 36 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 30m
By zone — where the carry started → where it ended
3Outside → Inside
20Inside → Inside
10Outside → Outside
3Inside → Outside
First (13)Second (12)Third (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: 2.83 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 65%
OUTSIDE 35%
Dribble location — 11 inside · 6 outside
Right Wing
3 · 18%
Right Half-Space
3 · 18%
Central
4 · 24%
Left Half-Space
4 · 24%
Left Wing
3 · 18%
Vision AI His touches are central and high — a penalty-box striker.
04

How does he create chances?

7 key passes (1.16/90), 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:
14%14%14%29%14%14%
chance creation (7)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 (4)of 7 key passes landing in the final thirdattacking ↑ toward goal
02

Can he finish?

16 shots · 2.25 xG · 5 goals (+2.75 vs xG). Mostly right-footed. Circle size = xG.

shots  16
on target  11
goals  5
xG  2.25
xG on target  2.13
xG / shot  0.141
Where he shoots from — click an area of the box
07

Where does he become vulnerable?

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

21
attacking third (cheap)
29
middle third
1
own third (dangerous)
Vision AI 41% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.93 danger-index/90 · 0.227 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
08

Where Does He Receive?

The zones where João Pedro 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
13%
Primary
Central, Middle third
13%
Secondary
Right Half-Space, Middle third
11%
Third
Left 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 João Pedro 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:
17211212552417171011710
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%8%6%8%3%2%19%10%2%1%4%14%8%10%
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.

7Key pass
3Cutback
4Progressive
8Long ball
4Switch
By zone — where the pass started → where it landed
9Outside → Inside
46Inside → Inside
17Outside → Outside
13Inside → Outside
By direction
43Forward
27Backward
56Sideways
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 7 key passes, his busiest route is a delivery where he switches it out from the central to the left hs 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 half-space in the final third: 46% of his 13 touches there are lost (6 times).
—0 touches · too few—0 touches · too few—4 touches · too few—0 touches · too few—1 touch · too few—6 touches · too few41%7/17 lost28%5/18 lost33%4/12 lost36%5/14 lost—5 touches · too few42%5/12 lost23%3/13 lost46%6/13 lost18%2/11 lostRWRHSCLHSLWDEFMIDATT
06

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 36 ball-carries, his dominant tendency is that he carries through central areas (56%). He carries from outside into the middle 3 times and out toward the touchline 3 — balanced between cutting in and holding width.
05

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
6 · 17%
Progressive / key pass
5 · 14%
Simple pass
15 · 42%
No clean link
10 · 28%
Of 36 carries, 17% flow straight into a shot of his own, 14% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 28% 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.

13

How & where does he defend?

84 defensive actions across the season (14.0/90). 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 →
2
tackles · 50% won
0
interceptions · 0.0/90
11
recoveries · 1.8/90
4
clearances · 0.7/90
6
blocks
59
avg action height
32
won high (att 3rd)
41
middle third
11
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 13 proactive ball-wins (2.2/90), tackle success 50%. 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.

60
attacking-half actions · 9.98/90
12

Against Different Pressing Intensities

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

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.5, 2m)
0.42
1.0
1.90
57%
Mid press (PPDA 4.7, 2m)
0.44
1.0
0.97
33%
Low press (PPDA 5.4, 2m)
0.25
0.0
0.54
29%
Team

Team context

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

14

Impact on the Team

Chelsea's output per match with João Pedro (6 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (6)
WITHOUT (2)
Δ
goals for /match
2.83
0.00
+2.83
xG for /match
1.35
0.00
+1.35
goals against /match
1.67
2.50
-0.83
points /match
2.17
0.00
+2.17
15

His Share of the Team

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

category
share
him / team
goals
29%
5 / 17
expected goals (xG)
18%
14.7 / 82.2
shots
12%
89 / 733
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

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.

Poacher80%Target man78%False 976%Transition runner71%
Why Poacher 80%: a weighted blend of box threat 70 (weight 55%) + final-third threat 91 (weight 30%) + press resistance 70 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, final-third threat, receiving zones
Strong
line-breaking, carrying, progression, dribbling, crossing, creativity, transition, box threat
Average
press resistance, passing directness, retention, build-up, ball-winning, defensive aggression, territory (wide vs central)
Weak
—
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
92
Final-third threat
91
Receiving zones
85
Line-breaking
84
Carrying
84
Progression
80
Dribbling
79
Crossing
74
Creativity
73
Transition ~proxy
72
Box threat
70
Press resistance ~proxy
70
Passing directness
67
Retention
66
Build-up
64
Ball-winning
58
Defensive aggression
54
Territory (wide vs central)
47
18

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: 186 cm / 70 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.

Mikel Oyarzabal Real Sociedad · La Liga · 181 cm / 79 kg
92%
Driven by: final-third threat (13%), through-balls (9%), carrying (9%). Different mechanism — Oyarzabal more via territory (wide vs central).
Lautaro Martínez Inter · Serie A · 174 cm / 70 kg
91%
Driven by: receiving zones (12%), final-third threat (12%), box threat (9%). Different mechanism — Martínez more via box threat, ball-winning.
Nicolas Jackson Aston Villa · 187 cm / 82 kg
91%
Driven by: receiving zones (12%), final-third threat (11%), progression (9%). Different mechanism — Pedro more via passing directness; Jackson more via crossing.
Hamza Igamane Lille · Ligue 1 25/26 · 181 cm / 77 kg
91%
Driven by: final-third threat (11%), receiving zones (9%), through-balls (9%). Different mechanism — Pedro more via territory (wide vs central); Igamane more via passing directness, ball-winning.
John Yeboah Venezia · Serie A · 170 cm / 66 kg
90%
Driven by: final-third threat (11%), receiving zones (10%), creativity (8%). Different mechanism — Pedro more via defensive aggression; Yeboah more via creativity, territory (wide vs central).
Fábio Silva Borussia Dortmund · Bundesliga · 185 cm / 80 kg
90%
Driven by: final-third threat (14%), through-balls (10%), receiving zones (10%). Different mechanism — Pedro more via box threat, passing directness; Silva more via territory (wide vs central), creativity.
19

Summary

João Pedro is a poacher / target man: 5 goals from 2.25 xG (+2.75 vs expected), 16 shots, 3 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 6 matches (541 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a poacher / target man — 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 poacher 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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