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Player reportSerie A 2026

Nikola Vlasic

Torino
Half-space creator CM
46% of actions in the half-spaces
Capability Analysis
Successful Dribble60%vs 36 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.7669%
Take-on success39.29%50%
Progression47%vs 36 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.3344%
Line-breaking passes /901.556%
Threat added by passing /900.8xT33%
Pass accuracy82.22%56%
Ball-Carrying53%vs 36 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.5642%
Carry distance /90104.56m50%
Successful take-ons /900.7669%
Take-on success39.29%50%
Chance Creation42%vs 36 central mids
"Does he create real chances for others?"
Expected assists /900.11xA75%
Through balls /900.00%
Threat added by passing /900.8xT33%
Box entries (pass) /901.561%
central midtransition runnerprogressionbox-to-box
745
minutes
9 apps
13
progressive passes
1.6/90
85%
pass completion
313 passes
10
key passes
1.21/90
7
box entries
0.85/90
24
final-3rd entries
2.9/90
15
dribbles
33% won
57
possessions lost
2.11 danger/90
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
Right Half-Space, Middle third — mostly in the middle third (56% of his 313 passes)
85% completion · 313× in 9/9 matches
↓
PROGRESS
drive or pass into the final third
1.6 prog/90 · 13× in 7/9 matches
↓
ARRIVE
get into the box late
10 key passes · 7× in 4/9 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.21 key passes /90 · 1 goals · 20× in 6/9 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
18

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 →
35
passes / match
1.9
dribbles / match
20–52
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (20 at the low end, 52 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.

08

How dangerous are his carries?

Real ball-carries

90 tracked carries (10.9/90, 22 progressive, 974m 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.

4%19%9%21%3%3%8%10%3%1%1%3%8%2%3%
progressivelateral/short% of his 90 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
9Outside → Inside
50Inside → Inside
20Outside → Outside
11Inside → Outside
First (34)Second (28)Third (18)Fourth (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Nikola Vlasic's signature is the dribble. Does he carry outside (down the right wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 1.81 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 67%
OUTSIDE 33%
Dribble location — 10 inside · 5 outside
Right Wing
3 · 20%
Right Half-Space
5 · 33%
Central
3 · 20%
Left Half-Space
2 · 13%
Left Wing
2 · 13%
Vision AI 33% of his dribbles are in the wide right lane — he attacks the full-back on the outside, then threatens to cut inside onto his left 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 →RWRHSCLHSLWRW5876%4422%132%1RHS8435%2936%3023%195%42%2C6010%622%1333%2027%168%5LHS422%133%1429%1236%15LW2223%577%17FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the final third → the left half-space in the final third — 3 progressive passes (16% of his progression) at 0.174 xT each. He moves it inside.

His progression is inward: 58% of progressive passes move the ball toward the middle versus 5% 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: 10 line-breaking passes and 24 final-third entries, -1.9 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
1%4%11%15%14%5%0%3%11%10%7%0%2%4%5%6%2%
completedincomplete313 passes · any zone → any zone · own goal left, attacking →
313
passes
85%
completed
47
lost
Vision AIIn line with his 85% season completion rate.
03

How does he create chances?

10 key passes (1.21/90), 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:
10%40%10%10%20%10%
chance creation (10)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

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

24
attacking third (cheap)
25
middle third
8
own third (dangerous)
Vision AI 42% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.11 danger-index/90 · 0.306 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
11

What is his passing profile?

313
passes attempted
38%
mostly backward
56%
mostly short
Direction
Forward
105 · 34%
Sideways
88 · 28%
Backward
120 · 38%
Length (completed)
Short (<15m)
150 · 56%
Medium
107 · 40%
Long (>30m)
9 · 3%
06

Where Does He Receive?

The zones where Nikola Vlasic 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
19%
Primary
Right Half-Space, Middle third
14%
Secondary
Central, Middle third
10%
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 Nikola Vlasic 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:
6131723619353126821437484616
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%4%11%15%14%5%0%3%11%10%7%0%2%4%5%6%2%
own goal left, attacking →
12

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.

10Key pass
3Cross
5Cutback
13Progressive
12Long ball
5Switch
By zone — where the pass started → where it landed
19Outside → Inside
129Inside → Inside
61Outside → Outside
57Inside → Outside
By direction
105Forward
120Backward
88Sideways
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 left hs in the final third — 1 passes worth 0.28 xT.
Where do his chances come from?
Of 10 key passes, his busiest route is a delivery where he plays straight through the right 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 right wing in the defensive third: 40% of his 10 touches there are lost (4 times).
40%4/10 lost—6 touches · too few33%3/9 lost—2 touches · too few—4 touches · too few20%6/30 lost15%9/61 lost7%3/45 lost13%4/30 lost11%1/9 lost7%2/30 lost19%6/32 lost33%6/18 lost7%1/15 lost17%2/12 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 90 ball-carries, his dominant tendency is that he carries through central areas (56%). He carries from outside into the middle 9 times and out toward the touchline 11 — 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
0 · 0%
Progressive / key pass
6 · 7%
Simple pass
69 · 77%
No clean link
15 · 17%
Of 90 carries, 0% flow straight into a shot of his own, 7% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 17% have no clean link to a next touch of his own close to where the carry ended.
13

Crosses & Cutbacks

3 crosses (0.36/90, 2 completed) and 5 cutbacks (0.60/90, 3 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.

14

How & where does he defend?

93 defensive actions across the season (11.2/90). 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 · 100% won
3
interceptions · 0.4/90
34
recoveries · 4.1/90
8
clearances · 1.0/90
5
blocks
45
avg action height
19
won high (att 3rd)
37
middle third
37
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 39 proactive ball-wins (4.7/90), tackle success 100%. 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 Nikola Vlasic keep producing when the game is tight and the press is high? Tiers of ~3-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.2, 3m)
0.57
1.7
1.39
67%
Mid press (PPDA 5.2, 3m)
0.97
1.4
1.41
20%
Low press (PPDA 6.8, 3m)
0.47
1.6
0.78
29%
Team

Team context

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

16

Impact on the Team

Insufficient sample: Nikola Vlasic played nearly every Torino match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

17

His Share of the Team

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

category
share
him / team
zone-14 entries
16%
43 / 276
half-space entries
15%
135 / 886
box entries
14%
65 / 449
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 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.

Transition runner74%Advanced playmaker (8)66%Box-to-box runner64%Tempo controller46%
Why Transition runner 74%: a weighted blend of transition 61 (weight 45%) + defensive aggression 71 (weight 30%) + box threat 81 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
box threat, creativity, defensive aggression, receiving zones
Average
dribbling, transition, ball-winning, press resistance, retention, crossing, carrying, line-breaking, territory (wide vs central), passing directness, final-third threat, progression, through-balls
Weak
build-up
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
81
Creativity
75
Defensive aggression
71
Receiving zones
71
Dribbling
62
Transition ~proxy
61
Ball-winning
59
Press resistance ~proxy
58
Retention
57
Crossing
57
Carrying
54
Line-breaking
53
Territory (wide vs central)
53
Passing directness
51
Final-third threat
49
Progression
44
Through-balls ~proxy
43
Build-up
31
20

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: 179 cm / 79 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.

Jude Bellingham Real Madrid · La Liga · 186 cm / 75 kg
76%
Driven by: box threat (23%), defensive aggression (23%), creativity (13%). Different mechanism — Vlasic more via territory (wide vs central); Bellingham more via dribbling, defensive aggression.
Alexander Prass Hoffenheim · Bundesliga · 182 cm / 72 kg
67%
Driven by: defensive aggression (19%), build-up (17%), box threat (13%). Different mechanism — Vlasic more via passing directness; Prass more via progression, line-breaking.
Kristian Thorstvedt Sassuolo · 189 cm / 84 kg
66%
Driven by: box threat (36%), creativity (27%), receiving zones (11%). Different mechanism — Vlasic more via transition.
Patrick Wimmer Hoffenheim · Bundesliga · 182 cm / 77 kg
66%
Driven by: defensive aggression (24%), build-up (20%), box threat (14%). Different mechanism — Vlasic more via retention, crossing; Wimmer more via ball-winning, defensive aggression.
Mason Mount Man Utd · Premier League · 181 cm / 76 kg
63%
Driven by: defensive aggression (20%), box threat (20%), receiving zones (16%). Different mechanism — Vlasic more via carrying; Mount more via line-breaking, through-balls.
Lovro Majer Wolfsburg · Bundesliga 25/26 · 178 cm / 76 kg
62%
Driven by: box threat (25%), creativity (15%), dribbling (11%). Different mechanism — Vlasic more via line-breaking; Majer more via carrying.
21

Summary

Nikola Vlasic is a transition runner / advanced playmaker (8): 1.6 progressive passes, 1.21 key passes /90, 7 box entries, 1 goals from 0.65 xG. A box-to-box contributor across every phase.

Based on 9 matches (745 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a transition runner / advanced playmaker (8) — best used in a system built around that identity. His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall transition runner 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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