العربيةSeason2025/262026 · this seasonAll seasons
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Player reportSerie A 2026

Lennon Miller

Udinese
Ball-winning 6 (destroyer) DM
14.2 defensive actions/90
defensive midball-winning 6press resistancescreening
317
minutes
6 apps
135
passes
82% completed
82%
pass completion
135 passes
8
progressive passes
2.3/90
50
defensive actions
14.2/90
11
tackles + interceptions
40% tackle win
12
recoveries
3.4/90
15
line-breaking passes
4.3/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Lennon Miller has played 6 matches (317 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
drop between the centre-backs — mostly in the middle third (56% of his 135 passes)
82% completion · 135× in 6/6 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
83% won · 6× in 3/6 matches
↓
PROGRESS CENTRAL
break a line through the middle
2.3 prog/90 · 15× in 4/6 matches
↓
SCREEN / WIN BALL
protect the back four
6.5 ball-wins/90 · 23× in 6/6 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
2.0 f3-entries/90 · 7× in 4/6 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
13

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 →
22
passes / match
14.2
def actions / 90
8–47
pass range (matches)
7
clearances
Pass range = his fewest and most passes in any single match this season (8 at the low end, 47 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

07

How dangerous are his carries?

Real ball-carries

26 tracked carries (7.4/90, 3 progressive, 229m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

4%12%8%4%15%12%4%4%12%12%12%4%
progressivelateral/short% of his 26 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 25m
By zone — where the carry started → where it ended
2Outside → Inside
19Inside → Inside
5Outside → Outside
First (15)Second (11)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

5
tackle duels
2
won
3
beaten · 60%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 60%
OUTSIDE 40%
Tackle-duel location — 3 inside · 2 outside
Right Wing
1 · 20%
Right Half-Space
1 · 20%
Central
1 · 20%
Left Half-Space
1 · 20%
Left Wing
1 · 20%
Vision AI beaten in 3 of 5 tackle duels (60% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 6 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

04

How does he create chances?

5 key passes (1.42/90), 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:
100%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
03

Where does he become vulnerable?

25 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

14
attacking third (cheap)
8
middle third
3
own third (dangerous)
Vision AI 56% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.81 danger-index/90 · 0.255 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

Where Does He Receive?

The zones where Lennon Miller 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
21%
Primary
Central, Middle third
13%
Secondary
Right Half-Space, Middle third
13%
Third
Left Half-Space, Middle third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Lennon Miller 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:
12717951619151657131010
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%5%10%7%7%1%4%14%10%11%1%1%5%12%6%4%
own goal left, attacking →
08

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.

5Key pass
1Cross
2Cutback
8Progressive
15Long ball
5Switch
By zone — where the pass started → where it landed
12Outside → Inside
69Inside → Inside
14Outside → Outside
16Inside → Outside
By direction
44Forward
51Backward
40Sideways
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 →
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 3 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 final third: 33% of his 15 touches there are lost (5 times).
—1 touch · too few—3 touches · too few—6 touches · too few—3 touches · too few—1 touch · too few—4 touches · too few6%1/18 lost15%4/27 lost6%1/17 lost22%2/9 lost33%5/15 lost—4 touches · too few20%2/10 lost30%3/10 lost—7 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

50 defensive actions across the season (14.2/90). 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 →
5
tackles · 40% won
6
interceptions · 1.7/90
12
recoveries · 3.4/90
7
clearances · 2.0/90
1
blocks
45
avg action height
7
won high (att 3rd)
26
middle third
17
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 23 proactive ball-wins (6.5/90), tackle success 40%. He defends high, stepping out to intercept — suits a high line.
10

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Lennon Miller still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~2-2 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.9, 2m)
74%
0.8
1.5
0.69
Mid press (PPDA 4.4, 2m)
95%
2.5
3.4
0.58
Low press (PPDA 8.3, 2m)
80%
4.0
8.9
1.74
Team

Team context

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

11

Impact on the Team

Udinese's output per match with Lennon Miller (6 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. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (6)
WITHOUT (2)
Δ
goals against /match
2.17
2.50
-0.33
points /match
0.67
0.00
+0.67
goals for /match
1.33
0.50
+0.83
xG for /match
1.12
0.71
+0.42
12

His Share of the Team

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

category
share
him / team
box entries
6%
28 / 481
successful take-ons
5%
15 / 276
half-space entries
5%
44 / 941
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

14

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 258 defensive 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.

Ball-winning 644%Deep-lying playmaker40%Tempo controller38%
Why Ball-winning 6 44%: a weighted blend of defensive aggression 63 (weight 30%) + ball-winning 36 (weight 40%) + progression 51 (weight 15%) + retention 40 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, dribbling
Strong
—
Average
press resistance, creativity, receiving zones, crossing, line-breaking, defensive aggression, progression, final-third threat, box threat, retention
Weak
territory (wide vs central), carrying, ball-winning, transition, build-up, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
94
Dribbling
93
Press resistance ~proxy
69
Creativity
67
Receiving zones
65
Crossing
64
Line-breaking
64
Defensive aggression
63
Progression
51
Final-third threat
47
Box threat
43
Retention
40
Territory (wide vs central)
38
Carrying
38
Ball-winning
36
Transition ~proxy
26
Build-up
22
Passing directness
17
15

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: 182 cm / 72 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.

Felix Keidel Elversberg · Bundesliga · 178 cm / 70 kg
79%
Driven by: through-balls (20%), transition (19%), passing directness (16%). Different mechanism — Miller more via defensive aggression, receiving zones; Keidel more via territory (wide vs central).
Satoshi Tanaka Schalke · Bundesliga · 175 cm / 73 kg
57%
Driven by: dribbling (19%), build-up (19%), through-balls (16%). Different mechanism — Miller more via creativity, carrying; Tanaka more via passing directness, territory (wide vs central).
Aljoscha Kemlein Union Berlin · Bundesliga · 185 cm / 78 kg
56%
Driven by: dribbling (36%), through-balls (20%), press resistance (14%). Different mechanism — Kemlein more via passing directness, transition.
Ilaix Moriba Celta Vigo · La Liga · 165 cm / 73 kg
52%
Driven by: transition (25%), passing directness (19%), build-up (16%). Different mechanism — Miller more via dribbling, through-balls; Moriba more via retention.
Mateus Fernandes Tottenham · Premier League · 178 cm / 72 kg
50%
Driven by: through-balls (24%), dribbling (17%), passing directness (13%). Different mechanism — Miller more via dribbling; Fernandes more via final-third threat, retention.
Krépin Diatta Monaco · Ligue 1 25/26 · 175 cm / 68 kg
49%
Driven by: build-up (24%), through-balls (22%), transition (14%). Different mechanism — Miller more via dribbling, press resistance; Diatta more via territory (wide vs central), ball-winning.
16

Summary

Lennon Miller is a ball-winning 6: 82% completion, 15 line-breaks and 2.3 progressive passes /90, resisting pressure with 83% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 6 matches (317 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 — best used in a system built around that identity. His biggest room for growth is ball-winning — even a modest improvement there would meaningfully lift his overall ball-winning 6 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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