العربيةSeason2025/262026 · this seasonAll seasons
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Player reportSerie A 2026

Lautaro Martínez

Inter
Penalty-box poacher ST
6.2 shots/90 · 0.18 xG per shot — shoots from high-value spots · 1.14 xG/90
strikerpoacherbox threatfinishing
363
minutes
5 apps
4
goals
4.61 xG
4.6
xG
25 shots
25
shots
0.18 xG/shot
5
box entries
1.24/90
7
key passes
1.74/90
8
dribbles
25% won
78%
pass completion
124 passes
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Lautaro Martínez has played 5 matches (363 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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 (51% of his 124 passes)
1.24 box entries/90 · 5× in 3/5 matches
↓
LINK
lay-off and combine
7 key passes · 78% completion · 124× in 5/5 matches
↓
FINISH
shoot from central zones
4.61 xG · 25× in 4/5 matches
↓
CONVERT
goals vs expected
4 goals (-0.6 vs xG) · 4× in 4/5 matches
Signature: occupy / move → link → shoot → convert.
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 →
25
passes / match
2.0
dribbles / match
12–30
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (12 at the low end, 30 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

30 tracked carries (7.4/90, 8 progressive, 310m 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.

7%10%7%7%3%13%13%10%20%10%
progressivelateral/short% of his 30 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
5Outside → Inside
13Inside → Inside
9Outside → Outside
3Inside → Outside
First (18)Second (12)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: 1.98 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 88%
OUTSIDE 12%
Dribble location — 7 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
1 · 12%
Central
4 · 50%
Left Half-Space
2 · 25%
Left Wing
1 · 12%
Vision AI His touches are central and high — a penalty-box striker.
04

How does he create chances?

7 key passes (1.74/90), 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%29%14%29%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?

25 shots · 4.61 xG · 4 goals (-0.61 vs xG). Mostly right-footed. Circle size = xG.

shots  25
on target  12
goals  4
xG  4.61
xG on target  3.20
xG / shot  0.185
Where he shoots from — click an area of the box
07

Where does he become vulnerable?

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

22
attacking third (cheap)
11
middle third
0
own third (dangerous)
Vision AI 67% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.58 danger-index/90 · 0.193 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 Lautaro Martínez 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
16%
Primary
Left Half-Space, Attacking third
14%
Secondary
Central, Middle third
14%
Third
Left Half-Space, 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 Lautaro Martínez 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:
21212171841691523161174
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%5%9%5%3%3%12%7%9%2%2%9%9%13%11%
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
2Cross
3Cutback
6Progressive
14Long ball
7Switch
By zone — where the pass started → where it landed
13Outside → Inside
49Inside → Inside
16Outside → Outside
19Inside → Outside
By direction
34Forward
32Backward
58Sideways
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 plays inside from the left 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 central in the final third: 40% of his 10 touches there are lost (4 times).
—1 touch · too few—0 touches · too few—4 touches · too few—1 touch · too few—1 touch · too few—5 touches · too few8%1/13 lost22%4/18 lost11%2/18 lost22%2/9 lost—6 touches · too few—5 touches · too few40%4/10 lost37%7/19 lost21%3/14 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 30 ball-carries, his dominant tendency is that he carries through central areas (43%). He carries from outside into the middle 5 times and out toward the touchline 3 — a genuine inside forward who cuts in with the ball.
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
3 · 10%
Progressive / key pass
7 · 23%
Simple pass
16 · 53%
No clean link
4 · 13%
Of 30 carries, 10% 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. 13% 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?

39 defensive actions across the season (9.7/90). 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 →
6
tackles · 50% won
2
interceptions · 0.5/90
5
recoveries · 1.2/90
4
clearances · 1.0/90
4
blocks
56
avg action height
14
won high (att 3rd)
19
middle third
6
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 (3.2/90), 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.

22
attacking-half actions · 5.45/90
Team

Team context

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

13

Impact on the Team

Inter's output per match with Lautaro Martínez (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (5)
WITHOUT (3)
Δ
goals for /match
2.60
3.33
-0.73
xG for /match
2.52
0.81
+1.72
goals against /match
1.00
1.67
-0.67
points /match
2.60
3.00
-0.40
14

His Share of the Team

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

category
share
him / team
goals
22%
4 / 18
expected goals (xG)
19%
16.5 / 88.4
shots
14%
117 / 835
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 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.

Poacher88%Target man88%False 985%Transition runner77%
Why Poacher 88%: a weighted blend of box threat 95 (weight 55%) + final-third threat 87 (weight 30%) + press resistance 65 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
box threat, receiving zones, line-breaking, final-third threat, progression
Strong
through-balls, creativity, crossing, ball-winning, retention, carrying
Average
passing directness, transition, build-up, press resistance, dribbling, defensive aggression, territory (wide vs central)
Weak
—
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
95
Receiving zones
94
Line-breaking
92
Final-third threat
87
Progression
86
Through-balls ~proxy
82
Creativity
80
Crossing
78
Ball-winning
76
Retention
72
Carrying
71
Passing directness
68
Transition ~proxy
67
Build-up
66
Press resistance ~proxy
65
Dribbling
65
Defensive aggression
59
Territory (wide vs central)
52
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: 174 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 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.

João Pedro Chelsea · Premier League · 186 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.
John Yeboah Venezia · 170 cm / 66 kg
90%
Driven by: receiving zones (11%), box threat (10%), creativity (10%). Different mechanism — Martínez more via defensive aggression; Yeboah more via transition, carrying.
Désiré Doué PSG · Ligue 1 · 181 cm / 79 kg
89%
Driven by: receiving zones (11%), box threat (10%), creativity (9%). Different mechanism — Martínez more via passing directness; Doué more via territory (wide vs central), carrying.
Hamza Igamane Lille · Ligue 1 25/26 · 181 cm / 77 kg
88%
Driven by: box threat (12%), receiving zones (10%), final-third threat (9%). Different mechanism — Martínez more via territory (wide vs central), build-up; Igamane more via passing directness, dribbling.
Deniz Undav Stuttgart · Bundesliga · 179 cm / 86 kg
88%
Driven by: box threat (17%), receiving zones (15%), final-third threat (12%). Different mechanism — Martínez more via ball-winning, territory (wide vs central); Undav more via passing directness.
Lassine Sinayoko Paris FC · Ligue 1 · 186 cm / 81 kg
88%
Driven by: box threat (12%), receiving zones (12%), creativity (11%). Different mechanism — Martínez more via through-balls, box threat.
18

Summary

Lautaro Martínez is a poacher / target man: 4 goals from 4.61 xG (-0.61 vs expected), 25 shots, 5 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 5 matches (363 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 press resistance — 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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