العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportSerie A 2026

Petar Sucic

Inter
Half-space creator CM
52% of actions in the half-spaces
central midadvanced playmaker (8)progressionbox-to-box
396
minutes
7 apps
26
progressive passes
5.9/90
90%
pass completion
283 passes
4
key passes
0.91/90
6
box entries
1.36/90
33
final-3rd entries
7.5/90
8
dribbles
50% won
31
possessions lost
1.49 danger/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Petar Sucic has played 7 matches (396 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
Left Half-Space, Middle third — mostly in the middle third (58% of his 283 passes)
90% completion · 283× in 7/7 matches
↓
PROGRESS
drive or pass into the final third
5.9 prog/90 · 26× in 7/7 matches
↓
ARRIVE
get into the box late
4 key passes · 6× in 3/7 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.91 key passes /90 · 1 goals · 9× in 3/7 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
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 →
40
passes / match
1.6
dribbles / match
16–81
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (16 at the low end, 81 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.

09

How dangerous are his carries?

Real ball-carries

91 tracked carries (20.7/90, 17 progressive, 836m 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.

2%11%9%5%9%13%4%5%10%12%16%2%
progressivelateral/short% of his 91 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 30m
By zone — where the carry started → where it ended
15Outside → Inside
59Inside → Inside
16Outside → Outside
1Inside → Outside
First (35)Second (22)Third (17)Fourth (17)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Petar Sucic'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: 1.82 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
2 · 25%
Central
2 · 25%
Left Half-Space
3 · 38%
Left Wing
1 · 12%
Vision AI 12% 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.
10

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 →RWRHSCLHSLWRW2733%952%147%27%2RHS4238%1633%1417%712%5C6211%711%735%2223%1419%12LHS896%57%630%2726%2331%28LW363%122%836%1339%14FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the middle third → the right half-space in the final third — 2 progressive passes (10% of his progression) at 0.154 xT each. He moves it inside.

His progression is inward: 52% of progressive passes move the ball toward the middle versus 14% going wider — he cuts in rather than holding width.

12% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 9 line-breaking passes and 33 final-third entries, 1.2 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
3%3%10%4%2%0%2%7%15%8%2%1%4%9%14%13%2%
completedincomplete283 passes · any zone → any zone · own goal left, attacking →
283
passes
90%
completed
27
lost
Vision AIIn line with his 90% season completion rate.
05

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

26
progressive · 5.9/90
33
final-third entries · 7.5/90
6
box entries · 1.36/90
25
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
03

How does he create chances?

4 key passes (0.91/90), 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:
25%25%50%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
12

Where does he become vulnerable?

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

16
attacking third (cheap)
14
middle third
1
own third (dangerous)
Vision AI 52% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.49 danger-index/90 · 0.212 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
13

What is his passing profile?

283
passes attempted
40%
mostly sideways
48%
mostly short
Direction
Forward
99 · 35%
Sideways
112 · 40%
Backward
72 · 25%
Length (completed)
Short (<15m)
123 · 48%
Medium
101 · 39%
Long (>30m)
32 · 12%
11

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.340.320.320.310.310.26
own goal left, attacking →
Highest-value routes (xT)
0.34
Right Half-Space Mid third → Right Half-Space Att third
1 passes
0.32
Left Half-Space Att third → Left Half-Space Att third
2 passes
0.32
Left Wing Att third → Central Att third
1 passes · 1 to a shot
0.31
Left Half-Space Mid third → Left Wing Att third
3 passes
0.31
Right Wing Mid third → Right Half-Space Att third
2 passes
0.26
Central Att third → Central Att third
1 passes
07

Where Does He Receive?

The zones where Petar Sucic 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
20%
Primary
Left Half-Space, Middle third
14%
Secondary
Central, Middle third
12%
Third
Left Half-Space, Attacking third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Petar Sucic 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:
31227433851620432598928136
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.

3%3%10%4%2%0%2%7%15%8%2%1%4%9%14%13%2%
own goal left, attacking →
14

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.

4Key pass
1Cross
3Cutback
26Progressive
34Long ball
22Switch
By zone — where the pass started → where it landed
39Outside → Inside
125Inside → Inside
24Outside → Outside
68Inside → Outside
By direction
99Forward
72Backward
112Sideways
own goal left, attacking →
02

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 right hs, advancing it forward in the middle third — 1 passes worth 0.34 xT.
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he plays straight through the central, advancing it forward in the middle 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 wing in the final third: 38% of his 13 touches there are lost (5 times).
—4 touches · too few—5 touches · too few—4 touches · too few0%0/10 lost—6 touches · too few0%0/20 lost4%1/25 lost10%4/40 lost12%7/56 lost4%1/24 lost—3 touches · too few19%3/16 lost4%1/23 lost12%4/34 lost38%5/13 lostRWRHSCLHSLWDEFMIDATT
04

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 91 ball-carries, his dominant tendency is that he carries through central areas (65%). He carries from outside into the middle 15 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
8 · 9%
Simple pass
80 · 88%
No clean link
3 · 3%
Of 91 carries, 0% flow straight into a shot of his own, 9% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 3% 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.

16

How & where does he defend?

54 defensive actions across the season (12.3/90). 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
1
interceptions · 0.2/90
23
recoveries · 5.2/90
2
clearances · 0.5/90
2
blocks
46
avg action height
10
won high (att 3rd)
27
middle third
17
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 33 proactive ball-wins (7.5/90), tackle success 56%. He defends high, stepping out to intercept — suits a high line.
15

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Petar Sucic 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 5.7, 2m)
1.05
6.4
2.14
33%
Mid press (PPDA 8.3, 2m)
1.30
6.3
0.79
67%
Low press (PPDA 10.6, 3m)
1.66
5.5
0.45
50%
Team

Team context

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

17

Impact on the Team

Inter's output per match with Petar Sucic (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
2.57
5.00
-2.43
xG for /match
2.61
2.43
+0.18
goals against /match
1.00
3.00
-2.00
points /match
2.71
3.00
-0.29
18

His Share of the Team

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

category
share
him / team
zone-14 entries
7%
40 / 550
tackles
7%
55 / 766
successful take-ons
6%
19 / 297
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 383 central 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.

Advanced playmaker (8)79%Deep-lying playmaker75%Tempo controller74%Transition runner73%
Why Advanced playmaker (8) 79%: a weighted blend of creativity 67 (weight 35%) + final-third threat 87 (weight 25%) + progression 82 (weight 25%) + box threat 69 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, receiving zones, carrying, final-third threat
Strong
line-breaking, progression, retention, crossing, defensive aggression, press resistance
Average
box threat, dribbling, creativity, transition, ball-winning, build-up, territory (wide vs central)
Weak
passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
92
Receiving zones
91
Carrying
91
Final-third threat
87
Line-breaking
85
Progression
82
Retention
78
Crossing
76
Defensive aggression
76
Press resistance ~proxy
71
Box threat
69
Dribbling
68
Creativity
67
Transition ~proxy
62
Ball-winning
57
Build-up
55
Territory (wide vs central)
41
Passing directness
26
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: 183 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.

Nicolò Barella Inter · 175 cm / 68 kg
93%
Driven by: crossing (11%), receiving zones (11%), final-third threat (10%). Different mechanism — Barella more via creativity, territory (wide vs central).
Lucas da Cunha Como · 174 cm / 66 kg
85%
Driven by: receiving zones (12%), final-third threat (11%), retention (10%). Different mechanism — Sucic more via through-balls, carrying; Cunha more via build-up, passing directness.
Douglas Luiz Juventus · 175 cm / 66 kg
85%
Driven by: receiving zones (12%), carrying (11%), final-third threat (10%). Different mechanism — Sucic more via territory (wide vs central), crossing; Luiz more via ball-winning, creativity.
Pedri Barcelona · La Liga · 174 cm / 68 kg
83%
Driven by: carrying (12%), receiving zones (11%), final-third threat (10%). Different mechanism — Sucic more via territory (wide vs central), crossing; Pedri more via passing directness, transition.
Pablo Fornals Real Betis · La Liga · 178 cm / 67 kg
83%
Driven by: progression (12%), final-third threat (12%), line-breaking (11%). Different mechanism — Sucic more via retention, carrying; Fornals more via territory (wide vs central), passing directness.
Dominik Szoboszlai Liverpool · Premier League · 186 cm / 74 kg
83%
Driven by: final-third threat (14%), receiving zones (13%), carrying (10%). Different mechanism — Sucic more via defensive aggression; Szoboszlai more via territory (wide vs central).
22

Summary

Petar Sucic is an advanced playmaker (8) / deep-lying playmaker: 5.9 progressive passes, 0.91 key passes /90, 6 box entries, 1 goals from 0.56 xG. A box-to-box contributor across every phase.

Based on 7 matches (396 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) / deep-lying playmaker — 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 advanced playmaker (8) 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.

Vision AI · building report