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Player reportSerie A 2026

Jérémie Boga

Juventus
Creative wide forward W
1.85 key passes/90 · 34% in the half-space
left winger1v1 carriercuts insidehalf-space creator
731
minutes
15 apps
4
goals
2.81 xG
46
dribbles
48% won
15
key passes
1.85/90
12
box entries
1.48/90
7
progressive passes
0.9/90
11
final-3rd entries
1.4/90
77%
pass completion
247 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 — mostly in the attacking third (58% of his 247 passes)
70% of touches wide left · 247× in 15/15 matches
↓
CARRY / BEAT MAN
dribble past the full-back, cut inside
48% won · 46× in 14/15 matches
↓
PROGRESS
drive the ball into the final third
0.9 progressive · 1.4 f3/90 · 7× in 5/15 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.85 key passes /90 · 4 goals · 39× in 9/15 matches
Signature: receive wide left → beat the full-back → carry into the right-foot channel → deliver or shoot. Stop the 1v1 on the left and you starve the chain.
19

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 →
16
passes / match
3.3
dribbles / match
3–29
pass range (matches)
1–7
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (3 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.

04

How dangerous are his carries?

Real ball-carries

92 tracked carries (11.3/90, 27 progressive, 1070m 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.

1%4%3%7%1%2%9%24%37%12%
progressivelateral/short% of his 92 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 37m
By zone — where the carry started → where it ended
27Outside → Inside
28Inside → Inside
35Outside → Outside
2Inside → Outside
First (33)Second (29)Third (16)Fourth (14)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Jérémie Boga'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: 4.74 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 30%
OUTSIDE 70%
Dribble location — 14 inside · 32 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
2 · 4%
Left Half-Space
12 · 26%
Left Wing
32 · 70%
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.
14

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 →RWRHSCLHSLWRW633%233%233%2RHS650%317%133%2C2520%536%932%812%3LHS5538%2133%1829%16LW989%939%3852%51FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left half-space in the final third → central areas in the final third — 7 progressive passes (29% of his progression) at 0.051 xT each. He moves it inside.

His progression is inward: 83% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 5% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 5 line-breaking passes and 11 final-third entries, 1.6 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
0%1%1%4%1%2%4%9%1%1%5%12%16%23%20%
completedincomplete247 passes · any zone → any zone · own goal left, attacking →
247
passes
77%
completed
57
lost
Vision AIIn line with his 77% season completion rate.
08

How does he create chances?

15 key passes (1.85/90), 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:
9%9%9%27%9%9%27%
chance creation (11)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 (6)from the right (5)of 11 key passes landing in the final thirdattacking ↑ toward goal
10

Can he finish?

24 shots · 2.81 xG · 4 goals (+1.19 vs xG). Mostly right-footed. Circle size = xG.

shots  24
on target  18
goals  4
xG  2.81
xG on target  2.53
xG / shot  0.117
Where he shoots from — click an area of the box
11

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.

55
attacking third (cheap)
24
middle third
2
own third (dangerous)
Vision AI 68% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.51 danger-index/90 · 0.151 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
12

What is his passing profile?

247
passes attempted
40%
mostly backward
66%
mostly short
Direction
Forward
63 · 26%
Sideways
84 · 34%
Backward
100 · 40%
Length (completed)
Short (<15m)
126 · 66%
Medium
60 · 32%
Long (>30m)
4 · 2%
02

Where Does He Receive?

The zones where Jérémie Boga 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
Left Wing, Attacking third
20%
Secondary
Left Wing, Middle third
20%
Third
Left Half-Space, Attacking third
These are the zones where he collected the ball most.
03

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Jérémie Boga 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:
21435507465361124191229
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.

0%1%1%4%1%2%4%9%1%1%5%12%16%23%20%
own goal left, attacking →
13

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.

15Key pass
4Cross
10Cutback
7Progressive
9Long ball
4Switch
By zone — where the pass started → where it landed
51Outside → Inside
62Inside → Inside
53Outside → Outside
24Inside → Outside
By direction
63Forward
100Backward
84Sideways
own goal left, attacking →
09

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 15 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 wing in the final third: 31% of his 67 touches there are lost (21 times).
—0 touches · too few—1 touch · too few—2 touches · too few—3 touches · too few0%0/11 lost—0 touches · too few—3 touches · too few25%3/12 lost30%8/27 lost9%4/45 lost—7 touches · too few—4 touches · too few18%3/17 lost31%15/48 lost31%21/67 lostRWRHSCLHSLWDEFMIDATT
05

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 92 ball-carries, his dominant tendency is that he drives along the touchline (38%). He carries from outside into the middle 27 times and out toward the touchline 2 — 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
9 · 10%
Progressive / key pass
9 · 10%
Simple pass
47 · 51%
No clean link
27 · 29%
Of 92 carries, 10% flow straight into a shot of his own, 10% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 29% have no clean link to a next touch of his own close to where the carry ended.
07

Crosses & Cutbacks

4 crosses (0.49/90, 1 completed) and 10 cutbacks (1.23/90, 6 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?

46 defensive actions across the season (5.7/90). 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 →
7
tackles · 43% won
2
interceptions · 0.2/90
14
recoveries · 1.7/90
4
clearances · 0.5/90
4
blocks
41
avg action height
5
won high (att 3rd)
24
middle third
17
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 23 proactive ball-wins (2.8/90), tackle success 43%. 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.

16
attacking-half actions · 1.97/90
15

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Jérémie Boga keep producing when the game is tight and the press is high? Tiers of ~5-5 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 5.4, 5m)
0.68
1.1
1.80
42%
Mid press (PPDA 7.9, 5m)
0.65
0.3
1.96
62%
Low press (PPDA 10.9, 5m)
0.74
1.3
1.75
36%
Team

Team context

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

17

Impact on the Team

Juventus's output per match with Jérémie Boga (15 matches) versus without him (23 matches). A proper on-off model needs many more minutes.

WITH (15)
WITHOUT (23)
Δ
goals for /match
1.47
1.70
-0.23
xG for /match
1.73
0.00
+1.73
goals against /match
1.07
0.78
+0.28
points /match
1.60
1.96
-0.36
18

His Share of the Team

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

category
share
him / team
goals
18%
4 / 22
successful take-ons
11%
38 / 355
expected goals (xG)
5%
4.2 / 76.4
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 180 wingers 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.

Wide dribbler / isolator70%Inside forward60%Half-space creator47%Transition runner24%
Why Wide dribbler / isolator 70%: a weighted blend of dribbling 89 (weight 40%) + box threat 71 (weight 20%) + crossing 45 (weight 20%) + final-third threat 45 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
dribbling
Strong
press resistance, box threat, retention
Average
carrying, build-up, receiving zones, final-third threat, crossing
Weak
creativity, transition, progression, ball-winning, defensive aggression, territory (wide vs central), passing directness, through-balls, line-breaking
Unknown
aerial ability, marking, off-ball running — not in event data
Dribbling
89
Press resistance ~proxy
79
Box threat
71
Retention
70
Carrying
63
Build-up
46
Receiving zones
46
Final-third threat
45
Crossing
45
Creativity
30
Transition ~proxy
29
Progression
26
Ball-winning
23
Defensive aggression
20
Territory (wide vs central)
19
Passing directness
17
Through-balls ~proxy
6
Line-breaking
4
21

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: 172 cm / 68 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.

Ernest Nuamah Lyon · Ligue 1 · 178 cm / 71 kg
72%
Driven by: dribbling (14%), line-breaking (14%), through-balls (11%). Different mechanism — Boga more via retention, build-up; Nuamah more via defensive aggression.
Jonathan Ikoné Paris FC · Ligue 1 · 175 cm / 67 kg
72%
Driven by: through-balls (13%), line-breaking (13%), transition (11%). Different mechanism — Boga more via carrying, dribbling; Ikoné more via creativity, build-up.
Johan Bakayoko RBL · Bundesliga · 179 cm / 76 kg
72%
Driven by: defensive aggression (23%), ball-winning (14%), passing directness (12%). Different mechanism — Boga more via dribbling, final-third threat; Bakayoko more via through-balls, line-breaking.
Joel Roca Girona · La Liga 25/26 · 176 cm / 72 kg
67%
Driven by: defensive aggression (21%), through-balls (17%), passing directness (16%). Different mechanism — Boga more via dribbling, press resistance; Roca more via territory (wide vs central), line-breaking.
Stanis Idumbo Monaco · Ligue 1 · 170 cm / 60 kg
66%
Driven by: through-balls (25%), press resistance (16%), retention (13%). Different mechanism — Boga more via dribbling; Idumbo more via line-breaking, defensive aggression.
Omar Marmoush Tottenham · Premier League · 180 cm / 80 kg
65%
Driven by: line-breaking (13%), transition (13%), through-balls (11%). Different mechanism — Boga more via carrying, final-third threat; Marmoush more via defensive aggression, retention.
22

Summary

Jérémie Boga is a wide, outside-first left carrier: 70% of dribbles in the wing lane, 53% of passes from wide — but 59% land inside. 0.9 progressive passes and 1.85 key passes /90 plus 4 goals from 2.81 xG. A carry-and-deliver threat.

Based on 15 matches (731 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a wide dribbler / isolator / inside forward — best used in a system built around that identity. His biggest room for growth is crossing — even a modest improvement there would meaningfully lift his overall wide dribbler / isolator 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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