His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.
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 — 1× (insufficient confidence, hidden — not enough evidence yet) — 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 →
8
passes / match
2.0
dribbles / match
2–15
pass range (matches)
1–4
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (2 at the low end, 15 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.
24 tracked carries (4.4/90, 6 progressive, 199m 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.
progressivelateral/short% of his 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 20m
By zone — where the carry started → where it ended
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: 3.40 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 50%
OUTSIDE 50%
Dribble location — 10 inside · 10 outside
Right Wing
5 · 25%
Right Half-Space
4 · 20%
Central
1 · 5%
Left Half-Space
5 · 25%
Left Wing
5 · 25%
Vision AI His touches are spread wide — a roaming forward.
04
How does he create chances?
3 key passes (0.55/90), 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:
chance creation (3)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 (2)of 3 key passes landing in the final thirdattacking ↑ toward goal
02
Can he finish?
19 shots · 2.59 xG · 3 goals (+0.41 vs xG). Mostly right-footed. Circle size = xG.
shots 19 on target 15 goals 3 xG 2.59 xG on target 2.97 xG / shot 0.136
Where he shoots from — click an area of the box
05
Where does he become vulnerable?
38 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
18
attacking third (cheap)
14
middle third
6
own third (dangerous)
Vision AI 47% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.73 danger-index/90 · 0.250 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 Gabriel Jesus 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).
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
13%
Primary
Left Half-Space, Attacking third
12%
Secondary
Left Wing, Attacking third
12%
Third
Right Half-Space, Attacking 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 Gabriel Jesus 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:
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.
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.
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 3 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 half-space in the final third: 38% of his 13 touches there are lost (5 times).
69 defensive actions across the season (12.6/90). 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 →
4
tackles · 0% won
3
interceptions · 0.5/90
19
recoveries · 3.5/90
5
clearances · 0.9/90
8
blocks
52
avg action height
16
won high (att 3rd)
37
middle third
16
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 26 proactive ball-wins (4.7/90), tackle success 0%. 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.
40
attacking-half actions · 7.29/90
10
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Gabriel Jesus keep producing when the game is tight and the press is high? Tiers of ~4-6 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 5.2, 4m)
0.42
1.0
0.99
43%
Mid press (PPDA 6.2, 4m)
0.31
1.0
0.50
33%
Low press (PPDA 9.1, 6m)
0.30
0.8
0.40
50%
Team
Team context
How much of the team runs through him, and what changes without him.
Barcelona's output per match with Gabriel Jesus (14 matches) versus without him (24 matches). A proper on-off model needs many more minutes.
WITH (14)
WITHOUT (24)
Δ
goals for /match
2.07
1.75
+0.32
xG for /match
1.94
0.54
+1.40
goals against /match
0.93
0.58
+0.35
points /match
2.14
2.29
-0.15
13
His Share of the Team
Of everything Barcelona produced this season, the categories where the biggest share ran through Gabriel Jesus specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
7%
3 / 41
expected goals (xG)
4%
3.5 / 79.0
shots
4%
27 / 684
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
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.
Why Target man 84%: a weighted blend of box threat 85 (weight 50%) + final-third threat 73 (weight 30%) + retention 86 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Retention
86
Ball-winning
86
Box threat
85
Dribbling
80
Press resistance ~proxy
80
Receiving zones
80
Crossing
79
Final-third threat
73
Defensive aggression
69
Carrying
63
Territory (wide vs central)
61
Build-up
58
Transition ~proxy
58
Progression
56
Creativity
53
Through-balls ~proxy
49
Line-breaking
46
Passing directness
23
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; 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 La Liga, Bundesliga, Ligue 1, Premier League 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.
Désiré Doué PSG · Ligue 1 · 181 cm / 79 kg
77%
Driven by: ball-winning (14%), press resistance (12%), retention (11%). Different mechanism — Doué more via line-breaking, through-balls.
Lassine Sinayoko Paris FC · Ligue 1 · 186 cm / 81 kg
76%
Driven by: ball-winning (18%), box threat (13%), press resistance (12%). Different mechanism — Sinayoko more via passing directness, creativity.
Ange-Yoan Bonny Inter · Serie A · 189 cm / 83 kg
74%
Driven by: press resistance (18%), retention (16%), ball-winning (15%). Different mechanism — Jesus more via box threat, crossing; Bonny more via territory (wide vs central), carrying.
Lautaro Martínez Inter · Serie A · 174 cm / 70 kg
71%
Driven by: box threat (20%), receiving zones (13%), ball-winning (11%). Different mechanism — Martínez more via line-breaking, passing directness.
Evan Ferguson Roma · Serie A 25/26 · 183 cm / 78 kg
70%
Driven by: press resistance (18%), retention (15%), crossing (13%). Different mechanism — Jesus more via through-balls, ball-winning.
Rômulo RBL · Bundesliga · 193 cm / 79 kg
70%
Driven by: ball-winning (21%), retention (17%), box threat (15%). Different mechanism — Jesus more via dribbling, final-third threat; Rômulo more via build-up.
17
Summary
Gabriel Jesus is a target man / poacher: 3 goals from 2.59 xG (+0.41 vs expected), 19 shots, 1 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 14 matches (494 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a target man / poacher — best used in a system built around that identity.
His biggest room for growth is final-third threat — even a modest improvement there would meaningfully lift his overall target man 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.
