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Player reportSerie A 2025/26

Ardon Jashari

AC Milan
Half-space creator CM
48% of actions in the half-spaces
central midtempo controllerprogressionbox-to-box
735
minutes
14 apps
31
progressive passes
3.8/90
90%
pass completion
448 passes
9
key passes
1.10/90
4
box entries
0.49/90
43
final-3rd entries
5.3/90
16
dribbles
38% won
56
possessions lost
1.94 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
Left Half-Space, Middle third — mostly in the middle third (65% of his 448 passes)
90% completion · 448× in 13/13 matches
↓
PROGRESS
drive or pass into the final third
3.8 prog/90 · 31× in 11/13 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.10 key passes /90 · 0 goals · 16× in 6/13 matches
Signature: Receive → Progress → Create / Finish — 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: arrive — 4× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
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 →
34
passes / match
2.3
dribbles / match
6–72
pass range (matches)
1–4
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (6 at the low end, 72 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

144 tracked carries (17.6/90, 27 progressive, 1273m 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%6%3%1%7%19%18%1%1%5%8%15%10%1%
progressivelateral/short% of his 144 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 33m
By zone — where the carry started → where it ended
13Outside → Inside
102Inside → Inside
18Outside → Outside
11Inside → Outside
First (43)Second (43)Third (33)Fourth (25)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Ardon Jashari'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: 1.96 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 50%
OUTSIDE 50%
Dribble location — 8 inside · 8 outside
Right Wing
1 · 6%
Right Half-Space
2 · 12%
Central
3 · 19%
Left Half-Space
3 · 19%
Left Wing
7 · 44%
Vision AI 50% 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.
06

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 →RWRHSCLHSLWRW1457%821%321%3RHS6226%1621%1335%2211%76%4C1139%1019%2134%3823%2616%18LHS1382%33%434%4729%4032%44LW751%17%535%2657%43FROM
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 — 4 progressive passes (13% of his progression) at 0.111 xT each. He moves it inside.

His progression is inward: 55% of progressive passes move the ball toward the middle versus 19% going wider — he cuts in rather than holding width.

Only 7% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 12 line-breaking passes and 43 final-third entries, 3.7 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
2%4%4%3%1%4%17%14%7%0%2%6%10%16%8%2%
completedincomplete448 passes · any zone → any zone · own goal left, attacking →
448
passes
90%
completed
46
lost
Vision AIIn line with his 90% season completion rate.
04

How does he progress play?

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

31
progressive · 3.8/90
43
final-third entries · 5.3/90
4
box entries · 0.49/90
20
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?

9 key passes (1.10/90), 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:
12%12%25%12%12%12%12%
chance creation (8)assist (0)% of the selected group's key passes originating in each zone
12

Where does he become vulnerable?

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

26
attacking third (cheap)
20
middle third
10
own third (dangerous)
Vision AI 46% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.94 danger-index/90 · 0.283 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?

448
passes attempted
39%
mostly sideways
55%
mostly short
Direction
Forward
165 · 37%
Sideways
175 · 39%
Backward
108 · 24%
Length (completed)
Short (<15m)
222 · 55%
Medium
155 · 39%
Long (>30m)
25 · 6%
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.

0.610.430.360.340.260.23
own goal left, attacking →
Highest-value routes (xT)
0.61
Central Mid third → Right Half-Space Att third
3 passes
0.43
Right Half-Space Mid third → Left Wing Att third
3 passes
0.36
Left Wing Mid third → Left Wing Att third
3 passes
0.34
Left Wing Att third → Left Half-Space Att third
1 passes
0.26
Left Half-Space Def third → Central Att third
1 passes · 1 to a shot
0.23
Central Mid third → Left Wing Att third
2 passes · 1 to a shot
08

Where Does He Receive?

The zones where Ardon Jashari 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
23%
Primary
Left Half-Space, Middle third
20%
Secondary
Central, Middle third
10%
Third
Right 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 Ardon Jashari 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:
112548714010207863384101718135
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.

2%4%4%3%1%4%17%14%7%0%2%6%10%16%8%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.

9Key pass
2Cross
2Cutback
31Progressive
31Long ball
20Switch
By zone — where the pass started → where it landed
37Outside → Inside
218Inside → Inside
52Outside → Outside
95Inside → Outside
By direction
165Forward
108Backward
175Sideways
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 switches it out from the central to the right hs, advancing it forward in the middle third — 3 passes worth 0.61 xT.
Where do his chances come from?
Of 9 key passes, his busiest route is a delivery where he switches it out from the central to the right hs, advancing it forward in the defensive 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 central in the final third: 32% of his 22 touches there are lost (7 times).
—2 touches · too few22%2/9 lost14%2/14 lost13%3/23 lost12%2/17 lost—7 touches · too few2%1/46 lost5%5/91 lost8%8/104 lost7%3/42 lost—7 touches · too few9%1/11 lost32%7/22 lost27%8/30 lost9%2/23 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 144 ball-carries, his dominant tendency is that he carries through central areas (71%). He carries from outside into the middle 13 times and out toward the touchline 11 — balanced between cutting in and holding width.
07

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
2 · 1%
Progressive / key pass
16 · 11%
Simple pass
116 · 81%
No clean link
10 · 7%
Of 144 carries, 1% flow straight into a shot of his own, 11% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 7% 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.

15

How & where does he defend?

87 defensive actions across the season (10.7/90). 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 →
14
tackles · 79% won
5
interceptions · 0.6/90
40
recoveries · 4.9/90
7
clearances · 0.9/90
8
blocks
39
avg action height
13
won high (att 3rd)
31
middle third
43
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 59 proactive ball-wins (7.2/90), tackle success 79%. He defends mostly around the middle third.
16

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Ardon Jashari 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 5.6, 4m)
0.83
3.6
1.03
33%
Mid press (PPDA 8.6, 4m)
1.38
3.5
1.32
14%
Low press (PPDA 11.1, 6m)
1.20
4.1
1.01
67%
Team

Team context

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

17

Impact on the Team

AC Milan's output per match with Ardon Jashari (14 matches) versus without him (24 matches). A proper on-off model needs many more minutes.

WITH (14)
WITHOUT (24)
Δ
goals for /match
1.14
1.54
-0.40
xG for /match
1.62
1.00
+0.62
goals against /match
1.07
0.83
+0.24
points /match
1.29
2.17
-0.88
18

His Share of the Team

Of everything AC Milan produced this season, the categories where the biggest share ran through Ardon Jashari specifically — his share of the team total, not a per-90 rate.

category
share
him / team
zone-14 entries
3%
14 / 438
final-third entries
3%
69 / 2284
expected assists (xA)
3%
1.1 / 37.0
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.

Tempo controller80%Deep-lying playmaker78%Advanced playmaker (8)72%Box-to-box runner61%
Why Tempo controller 80%: a weighted blend of retention 79 (weight 35%) + build-up 91 (weight 30%) + press resistance 57 (weight 20%) + progression 62 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
build-up
Strong
receiving zones, carrying, creativity, retention, transition
Average
final-third threat, progression, press resistance, crossing, passing directness, line-breaking, box threat, ball-winning, dribbling
Weak
defensive aggression, through-balls, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Build-up
91
Receiving zones
83
Carrying
81
Creativity
81
Retention
79
Transition ~proxy
77
Final-third threat
64
Progression
62
Press resistance ~proxy
57
Crossing
54
Passing directness
53
Line-breaking
53
Box threat
51
Ball-winning
45
Dribbling
42
Defensive aggression
33
Through-balls ~proxy
23
Territory (wide vs central)
18
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: 181 cm / 80 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.

Tom Cairney Fulham · Premier League · 185 cm / 84 kg
89%
Driven by: build-up (21%), retention (11%), carrying (10%). Different mechanism — Jashari more via ball-winning, creativity.
Mario Pasalic Atalanta · 188 cm / 77 kg
89%
Driven by: build-up (20%), transition (14%), creativity (12%). Different mechanism — Pasalic more via passing directness.
Piotr Zielinski Inter · 180 cm / 76 kg
77%
Driven by: transition (14%), build-up (14%), retention (12%). Different mechanism — Zielinski more via passing directness, through-balls.
Máximo Perrone Como · 177 cm / 72 kg
76%
Driven by: build-up (30%), receiving zones (16%), territory (wide vs central) (16%). Different mechanism — Jashari more via carrying, creativity; Perrone more via passing directness, ball-winning.
Aleksandar Pavlovic Bayern · Bundesliga · 188 cm / 78 kg
74%
Driven by: receiving zones (16%), transition (15%), retention (14%). Different mechanism — Jashari more via build-up; Pavlovic more via line-breaking, progression.
Florian Neuhaus Borussia Monchengladbach · Bundesliga · 185 cm / 74 kg
74%
Driven by: transition (18%), build-up (18%), territory (wide vs central) (16%). Different mechanism — Jashari more via retention; Neuhaus more via passing directness, box threat.
22

Summary

Ardon Jashari is a tempo controller / deep-lying playmaker: 3.8 progressive passes, 1.10 key passes /90, 4 box entries, 0 goals from 0.36 xG. A box-to-box contributor across every phase.

Based on 14 matches (735 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / deep-lying playmaker — 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 tempo controller 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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