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Player reportSerie A 2026

Ardon Jashari

AC Milan
Half-space creator CM
47% of actions in the half-spaces
central midtempo controllerprogressionbox-to-box
313
minutes
7 apps
15
progressive passes
4.3/90
92%
pass completion
284 passes
3
key passes
0.86/90
4
box entries
1.15/90
21
final-3rd entries
6.0/90
1
dribbles
0% won
23
possessions lost
2.73 danger/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Ardon Jashari has played 7 matches (313 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 (69% of his 284 passes)
92% completion · 284× in 7/7 matches
↓
PROGRESS
drive or pass into the final third
4.3 prog/90 · 15× in 5/7 matches
↓
ARRIVE
get into the box late
3 key passes · 4× in 3/7 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.86 key passes /90 · 0 goals · 7× 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 →
41
passes / match
1.0
dribbles / match
3–97
pass range (matches)
1–1
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (3 at the low end, 97 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

88 tracked carries (25.3/90, 13 progressive, 765m 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%5%5%6%2%11%12%8%1%12%27%8%1%
progressivelateral/short% of his 88 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 23m
By zone — where the carry started → where it ended
6Outside → Inside
61Inside → Inside
9Outside → Outside
12Inside → Outside
First (38)Second (19)Third (18)Fourth (13)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 1 dribble attempted this season — too little volume to map a location pattern.

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 →RWRHSCLHSLWRW875%625%2RHS3020%637%1123%77%213%4C7612%917%1332%2424%1816%12LHS902%22%234%3132%2929%26LW582%114%836%2148%28FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: central areas in the defensive third → the left wing in the final third — 2 progressive passes (14% of his progression) at 0.241 xT each. He works it wider.

His progression is inward: 36% of progressive passes move the ball toward the middle versus 21% going wider — he cuts in rather than holding width.

8% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 4 line-breaking passes and 21 final-third entries, 1.4 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%4%4%2%0%1%8%15%8%4%2%9%24%15%2%
completedincomplete284 passes · any zone → any zone · own goal left, attacking →
284
passes
92%
completed
22
lost
Vision AIIn line with his 92% season completion rate.
05

How does he progress play?

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

15
progressive · 4.3/90
21
final-third entries · 6.0/90
4
box entries · 1.15/90
24
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?

3 key passes (0.86/90), 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:
33%67%
chance creation (3)assist (0)% of the selected group's key passes originating in each zone
13

Where does he become vulnerable?

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

2
attacking third (cheap)
17
middle third
4
own third (dangerous)
Vision AI 9% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.73 danger-index/90 · 0.412 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?

284
passes attempted
38%
mostly sideways
55%
mostly short
Direction
Forward
101 · 36%
Sideways
109 · 38%
Backward
74 · 26%
Length (completed)
Short (<15m)
145 · 55%
Medium
101 · 39%
Long (>30m)
16 · 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.

0.480.360.140.120.110.10
own goal left, attacking →
Highest-value routes (xT)
0.48
Central Def third → Left Wing Att third
2 passes
0.36
Right Half-Space Mid third → Left Wing Att third
3 passes
0.14
Right Half-Space Mid third → Left Half-Space Att third
1 passes
0.12
Left Half-Space Mid third → Left Wing Att third
1 passes
0.11
Left Half-Space Att third → Right Wing Att third
1 passes
0.10
Central Mid third → Left Wing Att third
1 passes
07

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
25%
Primary
Left Half-Space, Middle third
18%
Secondary
Central, Middle third
17%
Third
Left Wing, Middle 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 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:
5256742622443231419111061
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%4%4%2%0%1%8%15%8%4%2%9%24%15%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.

3Key pass
15Progressive
19Long ball
12Switch
By zone — where the pass started → where it landed
31Outside → Inside
137Inside → Inside
35Outside → Outside
59Inside → Outside
By direction
101Forward
74Backward
109Sideways
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 left wing, advancing it forward in the defensive third — 2 passes worth 0.48 xT.
Where do his chances come from?
Of 3 key passes, his busiest route is a delivery where he plays straight through the right hs in the final 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 defensive third: 12% of his 16 touches there are lost (2 times).
—1 touch · too few11%1/9 lost0%0/21 lost6%1/17 lost12%2/16 lost—5 touches · too few10%2/21 lost6%3/50 lost8%6/72 lost8%4/48 lost—3 touches · too few—4 touches · too few0%0/8 lost11%1/9 lost—0 touches · too fewRWRHSCLHSLWDEFMIDATT
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 88 ball-carries, his dominant tendency is that he carries through central areas (69%). He carries from outside into the middle 6 times and out toward the touchline 12 — a width-holder who drives down the line.
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
1 · 1%
Progressive / key pass
4 · 5%
Simple pass
79 · 90%
No clean link
4 · 5%
Of 88 carries, 1% flow straight into a shot of his own, 5% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 5% 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?

42 defensive actions across the season (12.1/90). 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
1
interceptions · 0.3/90
18
recoveries · 5.2/90
8
clearances · 2.3/90
4
blocks
40
avg action height
4
won high (att 3rd)
23
middle third
15
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 21 proactive ball-wins (6.0/90), tackle success 100%. He defends mostly around the middle third.
15

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 ~2-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.4, 2m)
0.97
5.3
0.00
0%
Mid press (PPDA 6.0, 2m)
1.66
6.1
1.22
0%
Low press (PPDA 8.5, 3m)
1.22
2.1
0.69
0%
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 (7 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (7)
WITHOUT (2)
Δ
goals for /match
1.86
2.50
-0.64
xG for /match
1.74
1.43
+0.31
goals against /match
1.29
1.00
+0.29
points /match
2.00
2.00
+0.00
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
4%
15 / 397
final-third entries
3%
76 / 2294
expected assists (xA)
3%
1.1 / 35.4
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 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.

Tempo controller81%Deep-lying playmaker78%Advanced playmaker (8)71%Box-to-box runner65%
Why Tempo controller 81%: a weighted blend of build-up 94 (weight 30%) + retention 79 (weight 35%) + press resistance 55 (weight 20%) + progression 62 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
build-up
Strong
carrying, receiving zones, transition, creativity, retention
Average
final-third threat, progression, passing directness, press resistance, crossing, ball-winning, box threat, line-breaking
Weak
dribbling, defensive aggression, through-balls, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Build-up
94
Carrying
84
Receiving zones
83
Transition ~proxy
81
Creativity
79
Retention
79
Final-third threat
64
Progression
62
Passing directness
59
Press resistance ~proxy
55
Crossing
52
Ball-winning
49
Box threat
48
Line-breaking
47
Dribbling
40
Defensive aggression
37
Through-balls ~proxy
21
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.

Mario Pasalic Atalanta · 188 cm / 77 kg
90%
Driven by: build-up (21%), transition (16%), receiving zones (11%). Different mechanism — Pasalic more via passing directness, through-balls.
Tom Cairney Fulham · Premier League · 185 cm / 84 kg
87%
Driven by: build-up (23%), transition (11%), carrying (11%). Different mechanism — Jashari more via ball-winning; Cairney more via box threat.
Máximo Perrone Como · 177 cm / 72 kg
80%
Driven by: build-up (30%), receiving zones (15%), territory (wide vs central) (14%). Different mechanism — Jashari more via carrying; Perrone more via passing directness.
Frenkie de Jong Barcelona · La Liga · 181 cm / 74 kg
76%
Driven by: transition (16%), creativity (14%), retention (13%). Different mechanism — Jashari more via build-up; Jong more via passing directness, defensive aggression.
Piotr Zielinski Inter · 180 cm / 76 kg
76%
Driven by: transition (17%), build-up (14%), receiving zones (12%). Different mechanism — Zielinski more via line-breaking, through-balls.
Fran Beltrán Girona · La Liga 25/26 · 170 cm / 66 kg
75%
Driven by: build-up (25%), retention (13%), territory (wide vs central) (13%). Different mechanism — Jashari more via line-breaking, creativity.
22

Summary

Ardon Jashari is a tempo controller / deep-lying playmaker: 4.3 progressive passes, 0.86 key passes /90, 4 box entries, 0 goals from 0.55 xG. A box-to-box contributor across every phase.

Based on 7 matches (313 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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