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Player reportSerie A 2026

Matteo Palma

Udinese
Stopper centre-back CB
19.4 defensive actions/90 · 3.4 progressive/90 — defends first
centre-backstopper centre-backbuild-upline-breaking
186
minutes
3 apps
104
passes
88% completed
88%
pass completion
104 passes
7
progressive passes
3.4/90
8
line-breaking passes
3.9/90
40
defensive actions
19.4/90
8
tackles + interceptions
50% tackle win
11
clearances
5.3/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Matteo Palma has played 3 matches (186 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
in the first line of build-up — mostly in the middle third (72% of his 104 passes)
88% completion · 104× in 3/3 matches
↓
CARRY OUT
step into midfield to commit a presser
4 carries · 8× in 2/3 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
3.4 prog/90 · 8× in 3/3 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 4× in 3/3 matches
↓
PROGRESS
entries into the final third
5.3/90 · 11× in 3/3 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
12

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
19.4
def actions / 90
17–46
pass range (matches)
11
clearances
Pass range = his fewest and most passes in any single match this season (17 at the low end, 46 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.

05

How dangerous are his carries?

Real ball-carries

34 tracked carries (16.5/90, 11 progressive, 292m 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.

3%6%3%15%18%6%21%21%3%3%3%
progressivelateral/short% of his 34 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 17m
By zone — where the carry started → where it ended
7Outside → Inside
20Inside → Inside
3Outside → Outside
4Inside → Outside
First (17)Second (17)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).

6
tackle duels
3
won
3
beaten · 50%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 67%
OUTSIDE 33%
Tackle-duel location — 4 inside · 2 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
2 · 33%
Left Half-Space
2 · 33%
Left Wing
2 · 33%
Vision AI beaten in 3 of 6 tackle duels (50% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 4 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.

08

How does he create chances?

0 key passes (0.00/90), 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:
chance creation (0)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

15 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.

0
attacking third (cheap)
10
middle third
5
own third (dangerous)
Vision AI 0% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.45 danger-index/90 · 0.476 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03

Where Does He Receive?

The zones where Matteo Palma 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
26%
Primary
Central, Middle third
21%
Secondary
Left Half-Space, Middle third
12%
Third
Left Wing, Middle third
These are the zones where he collected the ball most.
04

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Matteo Palma 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:
312161711272013214443
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.

4%2%4%3%2%7%19%12%1%3%10%15%16%1%1%
own goal left, attacking →
07

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.

7Progressive
8Long ball
4Switch
By zone — where the pass started → where it landed
11Outside → Inside
47Inside → Inside
11Outside → Outside
22Inside → Outside
By direction
51Forward
13Backward
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 →
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 middle third — 3 passes worth 0.34 xT.
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 half-space in the middle third: 36% of his 11 touches there are lost (4 times).
—3 touches · too few—4 touches · too few—5 touches · too few—6 touches · too few25%2/8 lost—0 touches · too few36%4/11 lost14%4/28 lost0%0/23 lost15%2/13 lost—0 touches · too few—0 touches · too few—1 touch · too few—0 touches · too few—2 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

40 defensive actions across the season (19.4/90). 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 →
6
tackles · 50% won
2
interceptions · 1.0/90
10
recoveries · 4.8/90
11
clearances · 5.3/90
2
blocks
33
avg action height
2
won high (att 3rd)
16
middle third
22
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 18 proactive ball-wins (8.7/90), tackle success 50%. He defends mostly around the middle third.
Team

Team context

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

10

Impact on the Team

Udinese's output per match with Matteo Palma (3 matches) versus without him (5 matches). Insufficient evidence — the without-sample is only 5 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 (3)
WITHOUT (5)
Δ
goals against /match
2.00
2.40
-0.40
points /match
0.33
0.60
-0.27
goals for /match
0.33
1.60
-1.27
xG for /match
0.94
0.16
+0.78
11

His Share of the Team

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

category
share
him / team
clearances
2%
21 / 1075
zone-14 entries
1%
3 / 211
tackles
1%
8 / 622
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

13

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 585 centre-backs in the pool (min 180 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.

Stopper centre-back84%Ball-playing centre-back37%
Why Stopper centre-back 84%: a weighted blend of defensive aggression 92 (weight 35%) + ball-winning 78 (weight 40%) + transition 71 (weight 10%) + retention 32 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, defensive aggression, line-breaking
Strong
ball-winning, receiving zones, dribbling, carrying, transition
Average
final-third threat, crossing, territory (wide vs central), progression, passing directness, box threat, press resistance, creativity
Weak
build-up, retention
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
95
Defensive aggression
92
Line-breaking
90
Ball-winning
78
Receiving zones
77
Dribbling
75
Carrying
72
Transition ~proxy
71
Final-third threat
67
Crossing
63
Territory (wide vs central)
62
Progression
59
Passing directness
57
Box threat
53
Press resistance ~proxy
50
Creativity
48
Build-up
33
Retention
32
14

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: 195 cm) 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.

Stefan Posch Mainz · Bundesliga · 190 cm / 82 kg
82%
Driven by: defensive aggression (24%), ball-winning (11%), transition (10%). Different mechanism — Palma more via through-balls, line-breaking.
Gianluca Mancini Roma · 190 cm / 77 kg
77%
Driven by: defensive aggression (25%), through-balls (15%), line-breaking (14%). Different mechanism — Palma more via carrying, transition; Mancini more via box threat.
Giorgio Scalvini Atalanta · 194 cm / 76 kg
77%
Driven by: defensive aggression (24%), ball-winning (13%), receiving zones (11%). Different mechanism — Scalvini more via box threat, retention.
Diogo Leite Lazio · 188 cm / 70 kg
77%
Driven by: defensive aggression (16%), line-breaking (12%), ball-winning (9%). Different mechanism — Palma more via through-balls, defensive aggression; Leite more via passing directness, creativity.
Kike Salas Sevilla · La Liga · 188 cm / 80 kg
76%
Driven by: defensive aggression (38%), ball-winning (18%), retention (9%). Different mechanism — Palma more via line-breaking, carrying; Salas more via box threat.
Aboubakar Nagida Rennes · Ligue 1 · 176 cm / 74 kg
73%
Driven by: defensive aggression (22%), ball-winning (15%), line-breaking (10%). Different mechanism — Palma more via passing directness, through-balls; Nagida more via creativity, territory (wide vs central).
15

Summary

Matteo Palma is a stopper centre-back: 88% pass completion, 8 line-breaking passes and 3.4 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 3 matches (186 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity. His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper centre-back 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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