Thin sample this season. Dodô has played 4 matches (161 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 Wing, Middle third — wide or inverted — mostly in the middle third (47% of his 68 passes)
79% completion · 68× in 4/4 matches
↓
PROGRESS
carry or combine up the flank
6.7 prog/90 · 12× in 3/4 matches
↓
DEFEND
1v1 and cover on his side
15 def actions · lost 28% deep · 15× in 4/4 matches
Signature: Receive → Progress → Defend — the only steps proven repeatable this season (3 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: dribble — 1× (low confidence, shown as a number only, no tactical conclusion drawn); deliver — 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.
17 tracked carries (9.5/90, 3 progressive, 155m 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 17 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 41m
By zone — where the carry started → where it ended
First (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).
4
tackle duels
3
won
1
beaten · 25%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 25%
OUTSIDE 75%
Tackle-duel location — 1 inside · 3 outside
Right Wing
3 · 75%
Right Half-Space
1 · 25%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 1 of 4 tackle duels (25% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →
He attempted only 1 dribble 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?
1 key passes (0.56/90), 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 (1)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 →
How does he progress the ball forward?
His most common route for progressing play: he plays inside from the right wing toward the right hs, advancing it forward in the middle third — 1 passes worth 0.36 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he switches it out from the right hs to the right wing 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 half-space in the final third: 36% of his 11 touches there are lost (4 times).
15 defensive actions across the season (8.4/90). 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 →
4
tackles · 75% won
1
interceptions · 0.6/90
3
recoveries · 1.7/90
2
clearances · 1.1/90
1
blocks
34
avg action height
2
won high (att 3rd)
4
middle third
9
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 8 proactive ball-wins (4.5/90), tackle success 75%. He defends mostly around the middle third.
Team
Team context
How much of the team runs through him, and what changes without him.
Fiorentina's output per match with Dodô (4 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 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 (4)
WITHOUT (4)
Δ
goals against /match
2.75
2.00
+0.75
points /match
0.00
1.00
-1.00
goals for /match
0.75
1.50
-0.75
xG for /match
0.91
1.87
-0.95
07
His Share of the Team
Of everything Fiorentina produced this season, the categories where the biggest share ran through Dodô specifically — his share of the team total, not a per-90 rate.
category
share
him / team
progressive passes
14%
243 / 1750
box entries
13%
72 / 547
final-third entries
11%
211 / 1868
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 232 full-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.
Overlapping full-back80%Inverted full-back48%
Why Overlapping full-back 80%: a weighted blend of transition 84 (weight 25%) + final-third threat 76 (weight 25%) + crossing 61 (weight 30%) + dribbling 85 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
ball-winning, build-up, territory (wide vs central), defensive aggression
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
88
Dribbling
85
Transition ~proxy
84
Line-breaking
81
Creativity
80
Receiving zones
80
Final-third threat
76
Passing directness
75
Progression
71
Press resistance ~proxy
68
Through-balls ~proxy
66
Crossing
61
Box threat
58
Retention
51
Ball-winning
39
Build-up
31
Territory (wide vs central)
31
Defensive aggression
19
09
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: 166 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 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.
Rubén Sánchez Elche · La Liga · 185 cm / 73 kg
73%
Driven by: transition (19%), carrying (11%), dribbling (10%). Different mechanism — Dodô more via creativity, receiving zones; Sánchez more via through-balls, passing directness.
Nuno Tavares Lazio · 183 cm / 75 kg
69%
Driven by: transition (15%), creativity (14%), carrying (12%). Different mechanism — Tavares more via territory (wide vs central), defensive aggression.
Carlos Romero Villarreal · La Liga · 174 cm / 73 kg
67%
Driven by: creativity (17%), dribbling (13%), build-up (11%). Different mechanism — Dodô more via passing directness, carrying; Romero more via defensive aggression, box threat.
Trent Alexander-Arnold Real Madrid · La Liga · 175 cm / 67 kg
67%
Driven by: creativity (16%), final-third threat (12%), receiving zones (12%). Different mechanism — Dodô more via passing directness, dribbling; Alexander-Arnold more via through-balls, progression.
Nuno Mendes PSG · Ligue 1 · 180 cm / 70 kg
67%
Driven by: creativity (16%), carrying (12%), final-third threat (10%). Different mechanism — Dodô more via passing directness, territory (wide vs central); Mendes more via box threat, retention.
Andrei Ratiu Rayo Vallecano · La Liga · 183 cm / 75 kg
67%
Driven by: carrying (14%), transition (13%), creativity (13%). Different mechanism — Dodô more via passing directness; Ratiu more via defensive aggression, box threat.
10
Summary
Dodô is an overlapping full-back: 6.7 progressive passes and 1 box entries, delivering 1 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]
Based on 4 matches (161 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an overlapping full-back — best used in a system built around that identity.
His biggest room for growth is crossing — even a modest improvement there would meaningfully lift his overall overlapping full-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.