Thin sample this season. Martín Zubimendi has played 6 matches (144 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 (64% of his 88 passes)
85% completion · 88× in 6/6 matches
↓
PROGRESS CENTRAL
break a line through the middle
3.8 prog/90 · 7× in 3/6 matches
↓
SCREEN / WIN BALL
protect the back four
7.5 ball-wins/90 · 12× in 6/6 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
3.1 f3-entries/90 · 5× in 3/6 matches
Signature: Receive → Progress Central → Screen / Win Ball → Recycle / Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: escape pressure — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
16 tracked carries (10.0/90, 2 progressive, 156m 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.
progressivelateral/short% of his 16 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 20m
By zone — where the carry started → where it ended
First (16)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
3
won
2
beaten · 40%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 80%
OUTSIDE 20%
Tackle-duel location — 4 inside · 1 outside
Right Wing
1 · 20%
Right Half-Space
0 · 0%
Central
3 · 60%
Left Half-Space
1 · 20%
Left Wing
0 · 0%
Vision AI beaten in 2 of 5 tackle duels (40% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →
He attempted only 0 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.
03
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
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 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 middle third: 44% of his 9 touches there are lost (4 times).
30 defensive actions across the season (18.8/90). 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 · 60% won
4
interceptions · 2.5/90
3
recoveries · 1.9/90
2
clearances · 1.2/90
3
blocks
40
avg action height
3
won high (att 3rd)
13
middle third
14
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 12 proactive ball-wins (7.5/90), tackle success 60%. He defends mostly around the middle third.
05
Can he play under pressure?
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Martín Zubimendi 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 3.6, 2m)
70%
2.8
8.3
0.45
Mid press (PPDA 5.5, 2m)
95%
4.9
0.0
1.40
Low press (PPDA 7.3, 2m)
92%
4.3
2.1
1.11
Team
Team context
How much of the team runs through him, and what changes without him.
Arsenal's output per match with Martín Zubimendi (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
0.67
0.50
+0.17
points /match
2.50
3.00
-0.50
goals for /match
1.67
1.50
+0.17
xG for /match
1.61
1.44
+0.17
08
His Share of the Team
Of everything Arsenal produced this season, the categories where the biggest share ran through Martín Zubimendi specifically — his share of the team total, not a per-90 rate.
category
share
him / team
interceptions
12%
43 / 344
tackles
10%
73 / 703
final-third entries
9%
214 / 2316
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 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.
Tempo controller64%Deep-lying playmaker62%Ball-winning 643%
Why Tempo controller 64%: a weighted blend of retention 70 (weight 35%) + build-up 60 (weight 30%) + press resistance 49 (weight 20%) + progression 59 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
line-breaking, through-balls, ball-winning, territory (wide vs central), dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
75
Receiving zones
70
Retention
70
Final-third threat
66
Box threat
63
Build-up
60
Progression
59
Transition ~proxy
55
Crossing
55
Passing directness
54
Defensive aggression
52
Press resistance ~proxy
49
Creativity
44
Line-breaking
37
Through-balls ~proxy
35
Ball-winning
32
Territory (wide vs central)
32
Dribbling
28
10
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 / 74 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 Premier League, Bundesliga, La Liga, Ligue 1 and Serie A, 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.
Yannik Engelhardt Freiburg · Bundesliga · 184 cm / 74 kg
59%
Driven by: carrying (18%), ball-winning (17%), territory (wide vs central) (14%). Different mechanism — Zubimendi more via passing directness, receiving zones.
Axel Witsel Nice · Ligue 1 · 186 cm / 82 kg
58%
Driven by: retention (24%), ball-winning (14%), through-balls (11%). Different mechanism — Zubimendi more via progression, final-third threat; Witsel more via retention, passing directness.
Andrey Santos Man Utd · 180 cm / 75 kg
58%
Driven by: dribbling (29%), territory (wide vs central) (16%), receiving zones (16%). Different mechanism — Zubimendi more via carrying, territory (wide vs central); Santos more via build-up, passing directness.
Laurent Abergel Lorient · Ligue 1 25/26 · 185 cm / 65 kg
58%
Driven by: dribbling (16%), ball-winning (14%), carrying (12%). Different mechanism — Zubimendi more via defensive aggression, box threat; Abergel more via passing directness, line-breaking.
Tanner Tessmann Lyon · Ligue 1 · 188 cm / 86 kg
56%
Driven by: ball-winning (29%), dribbling (20%), carrying (14%). Different mechanism — Zubimendi more via crossing, defensive aggression.
Lorenzo Amatucci Deportivo · La Liga · 173 cm / 73 kg
55%
Driven by: carrying (25%), dribbling (23%), territory (wide vs central) (15%). Different mechanism — Zubimendi more via final-third threat, box threat; Amatucci more via ball-winning.
11
Summary
Martín Zubimendi is a tempo controller / deep-lying playmaker: 85% completion, 7 line-breaks and 3.8 progressive passes /90, resisting pressure with 0% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]
Based on 6 matches (144 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.