Thin sample this season. Matteo Gabbia has played 3 matches (44 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 defensive third (47% of his 15 passes)
87% completion · 15× in 2/2 matches
Signature: Only Receive shows a proven, repeatable pattern this season — too little evidence yet (2 matches loaded) for a fuller signature chain.
Not a pattern: carry out — 0× (insufficient confidence, hidden — not enough evidence yet); break a line — 2× (low confidence, shown as a number only, no tactical conclusion drawn); switch play — 2× (low confidence, shown as a number only, no tactical conclusion drawn); progress — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
Team
Team context
How much of the team runs through him, and what changes without him.
AC Milan's output per match with Matteo Gabbia (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
0.67
1.00
-0.33
points /match
2.33
2.20
+0.13
goals for /match
1.67
2.20
-0.53
xG for /match
1.88
0.57
+1.31
03
His Share of the Team
Of everything AC Milan produced this season, the categories where the biggest share ran through Matteo Gabbia specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
13%
167 / 1284
interceptions
4%
15 / 404
threat added by passing (xT)
3%
20.4 / 610.1
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 515 centre-backs 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-playing centre-back54%Stopper centre-back13%
Why Ball-playing centre-back 54%: a weighted blend of build-up 76 (weight 30%) + retention 68 (weight 30%) + progression 20 (weight 25%) + press resistance 33 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Build-up
76
Retention
68
Passing directness
66
Box threat
57
Carrying
43
Transition ~proxy
41
Crossing
37
Press resistance ~proxy
33
Creativity
26
Progression
20
Receiving zones
17
Line-breaking
15
Defensive aggression
13
Final-third threat
11
Through-balls ~proxy
11
Dribbling
8
Ball-winning
7
Territory (wide vs central)
6
05
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: 185 cm / 78 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.
Moritz Jenz Wolfsburg · Bundesliga 25/26 · 190 cm / 86 kg
90%
Driven by: dribbling (12%), ball-winning (12%), territory (wide vs central) (9%). Different mechanism — Gabbia more via box threat.
Federico Baschirotto Cremonese 25/26 · 184 cm / 90 kg
89%
Driven by: defensive aggression (16%), ball-winning (16%), final-third threat (11%). Different mechanism — Gabbia more via retention; Baschirotto more via through-balls.
Alexsandro Lille · Ligue 1 · 191 cm / 82 kg
86%
Driven by: dribbling (16%), build-up (12%), through-balls (8%). Different mechanism — Gabbia more via passing directness; Alexsandro more via ball-winning, defensive aggression.
Andrew Omobamidele Strasbourg · Ligue 1 · 188 cm / 78 kg
84%
Driven by: dribbling (12%), build-up (12%), defensive aggression (11%). Different mechanism — Gabbia more via box threat; Omobamidele more via transition, carrying.
Fernando Calero Malaga · La Liga · 183 cm / 71 kg
83%
Driven by: territory (wide vs central) (12%), dribbling (11%), final-third threat (10%). Different mechanism — Calero more via ball-winning, defensive aggression.
Rav van den Berg Koln · Bundesliga · 190 cm / 75 kg
82%
Driven by: dribbling (13%), ball-winning (13%), final-third threat (11%). Different mechanism — Gabbia more via box threat, crossing; Berg more via line-breaking, defensive aggression.
06
Summary
Matteo Gabbia is a ball-playing centre-back: 87% pass completion, 2 line-breaking passes and 4.1 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 (44 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back — best used in a system built around that identity.
His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall ball-playing 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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