Thin sample this season. Brahim Díaz has played 4 matches (133 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
Right Half-Space, Middle third — between the lines — mostly in the middle third (58% of his 60 passes)
97% completion · 60× in 4/4 matches
↓
TURN / BEAT MAN
face forward in the pocket
40% won · 5× in 2/4 matches
Signature: Receive → Turn / Beat Man — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: create — 2× (low confidence, shown as a number only, no tactical conclusion drawn); finish — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — 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 (10.8/90, 4 progressive, 153m 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.
progressivelateral/short% of his 16 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 26m
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 →
Dribbles (1v1s)
Only 5 dribbles attempted this season — too little volume to map a location pattern.
02
How does he create chances?
2 key passes (1.35/90), 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 (2)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (0)from the right (2)of 2 key passes landing in the final thirdattacking ↑ toward goal
04
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 2 key passes, his busiest route is a delivery where he plays inside from the right wing toward 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 right wing in the middle third: 0% of his 13 touches there are lost (0 times).
Team
Team context
How much of the team runs through him, and what changes without him.
Real Madrid's output per match with Brahim Díaz (4 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (4)
WITHOUT (6)
Δ
goals for /match
3.75
1.67
+2.08
xG for /match
2.44
1.79
+0.65
goals against /match
1.00
1.00
+0.00
points /match
3.00
2.00
+1.00
06
His Share of the Team
Of everything Real Madrid produced this season, the categories where the biggest share ran through Brahim Díaz specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected assists (xA)
4%
1.7 / 38.4
successful take-ons
4%
27 / 665
box entries
4%
38 / 940
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 247 attacking 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.
Half-space creator67%Advanced playmaker (8)55%
Why Half-space creator 67%: a weighted blend of creativity 73 (weight 40%) + final-third threat 60 (weight 30%) + dribbling 83 (weight 15%) + box threat 31 (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
Retention
95
Press resistance ~proxy
83
Dribbling
83
Receiving zones
80
Creativity
73
Final-third threat
60
Crossing
56
Build-up
56
Carrying
44
Line-breaking
39
Defensive aggression
38
Progression
37
Transition ~proxy
36
Territory (wide vs central)
32
Box threat
31
Ball-winning
27
Passing directness
18
Through-balls ~proxy
17
08
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: 170 cm / 68 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 La Liga, Bundesliga, Ligue 1, Premier League 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.
Rio Ngumoha Liverpool · Premier League · 170 cm / 75 kg
66%
Driven by: press resistance (19%), dribbling (15%), retention (14%). Different mechanism — Díaz more via build-up; Ngumoha more via territory (wide vs central), carrying.
Eljif Elmas Atalanta · Serie A · 184 cm / 78 kg
66%
Driven by: retention (24%), press resistance (16%), defensive aggression (10%). Different mechanism — Díaz more via creativity, receiving zones; Elmas more via build-up.
Eberechi Eze Arsenal · Premier League · 178 cm / 73 kg
66%
Driven by: retention (23%), press resistance (20%), dribbling (11%). Different mechanism — Díaz more via territory (wide vs central), creativity; Eze more via passing directness, box threat.
Claudio Echeverri Leverkusen · Premier League · 170 cm / 62 kg
64%
Driven by: retention (17%), press resistance (17%), ball-winning (11%). Different mechanism — Díaz more via defensive aggression, territory (wide vs central); Echeverri more via through-balls, progression.
Seko Fofana Rennes · Ligue 1 25/26 · 185 cm / 83 kg
64%
Driven by: retention (20%), press resistance (17%), dribbling (10%). Different mechanism — Díaz more via defensive aggression; Fofana more via carrying, transition.
Noah Nartey Lyon · Ligue 1 · 180 cm / 70 kg
63%
Driven by: retention (19%), press resistance (18%), dribbling (12%). Different mechanism — Díaz more via creativity, final-third threat; Nartey more via ball-winning, defensive aggression.
09
Summary
Brahim Díaz is a half-space creator: 1.35 key passes /90, 0.7 progressive passes, 0 goals from 0.10 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 4 matches (133 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator — best used in a system built around that identity.
His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall half-space creator 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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