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Player reportLigue 1 2026

Otávio

Paris FC
Ball-playing centre-back CB
5.0 progressive passes/90 · 1.4 line-breaking/90
centre-backstopper centre-backbuild-upline-breaking
326
minutes
5 apps
229
passes
87% completed
87%
pass completion
229 passes
18
progressive passes
5.0/90
25
line-breaking passes
6.9/90
84
defensive actions
23.2/90
14
tackles + interceptions
71% tackle win
24
clearances
6.6/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Otávio has played 5 matches (326 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 (48% of his 229 passes)
87% completion · 229× in 5/5 matches
↓
CARRY OUT
step into midfield to commit a presser
4 carries · 8× in 2/5 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
5.0 prog/90 · 25× in 4/5 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 4× in 4/5 matches
↓
PROGRESS
entries into the final third
4.4/90 · 16× in 4/5 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.
16

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 →
46
passes / match
23.2
def actions / 90
8–91
pass range (matches)
24
clearances
Pass range = his fewest and most passes in any single match this season (8 at the low end, 91 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.

09

How dangerous are his carries?

Real ball-carries

30 tracked carries (8.3/90, 5 progressive, 267m 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%10%27%43%13%3%
progressivelateral/short% of his 30 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 31m
By zone — where the carry started → where it ended
4Outside → Inside
13Inside → Inside
10Outside → Outside
3Inside → Outside
First (20)Second (10)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).

7
tackle duels
5
won
2
beaten · 29%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 14%
OUTSIDE 86%
Tackle-duel location — 1 inside · 6 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
1 · 14%
Left Wing
6 · 86%
Vision AI beaten in 2 of 7 tackle duels (29% 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.

02

How does he build & move the ball?

How does he escape the first line?

12%
vertical passes
18×
1%
switches
2×
16%
carries
25×
71%
short circulation
110×
Answer: he escapes the press primarily through carrying — stepping out with the ball.

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW1100%1RHS0C1030%350%520%2LHS982%246%4520%2032%31LW9119%1740%3642%38FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the middle third → the left half-space in the final third — 3 progressive passes (20% of his progression) at 0.132 xT each. He moves it inside.

His progression is inward: 40% of progressive passes move the ball toward the middle versus 13% going wider — he cuts in rather than holding width.

Only 2% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 5 line-breaking passes and 16 final-third entries, 2.7 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
0%0%3%3%0%9%34%27%16%5%
completedincomplete229 passes · any zone → any zone · own goal left, attacking →
229
passes
87%
completed
29
lost
Vision AIIn line with his 87% season completion rate.
04

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

18
progressive · 5.0/90
16
final-third entries · 4.4/90
0
box entries · 0.00/90
18
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
12

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?

33 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.

1
attacking third (cheap)
12
middle third
20
own third (dangerous)
Vision AI 3% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 5.63 danger-index/90 · 0.618 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

229
passes attempted
44%
mostly forward
54%
mostly short
Direction
Forward
101 · 44%
Sideways
70 · 31%
Backward
58 · 25%
Length (completed)
Short (<15m)
107 · 54%
Medium
81 · 40%
Long (>30m)
12 · 6%
10

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.460.290.210.180.150.15
own goal left, attacking →
Highest-value routes (xT)
0.46
Left Wing Def third → Left Wing Att third
2 passes
0.29
Left Wing Mid third → Left Wing Att third
1 passes
0.21
Left Wing Mid third → Left Half-Space Att third
1 passes
0.18
Left Half-Space Mid third → Left Half-Space Att third
1 passes
0.15
Left Half-Space Def third → Left Wing Mid third
3 passes
0.15
Left Half-Space Def third → Left Wing Att third
1 passes
07

Where Does He Receive?

The zones where Otávio 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
27%
Primary
Left Half-Space, Middle third
26%
Secondary
Left Wing, Defensive third
20%
Third
Left Half-Space, Defensive third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Otávio 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:
2180643811188111
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.

0%0%3%3%0%9%34%27%16%5%
own goal left, attacking →
11

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.

1Cross
18Progressive
25Long ball
4Switch
By zone — where the pass started → where it landed
54Outside → Inside
77Inside → Inside
38Outside → Outside
31Inside → Outside
By direction
101Forward
58Backward
70Sideways
own goal left, attacking →
03

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 straight through the left wing, advancing it forward in the defensive third — 2 passes worth 0.46 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 left wing in the defensive third: 26% of his 61 touches there are lost (16 times).
—0 touches · too few—0 touches · too few—3 touches · too few7%3/45 lost26%16/61 lost—1 touch · too few—0 touches · too few—7 touches · too few8%5/59 lost10%4/42 lost—0 touches · too few—0 touches · too few—0 touches · too few—2 touches · too few11%1/9 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

84 defensive actions across the season (23.2/90). 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 →
7
tackles · 71% won
7
interceptions · 1.9/90
15
recoveries · 4.1/90
24
clearances · 6.6/90
7
blocks
27
avg action height
4
won high (att 3rd)
18
middle third
62
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 29 proactive ball-wins (8.0/90), tackle success 71%. He defends deep, protecting his box — a last-line stopper.
Team

Team context

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

14

Impact on the Team

Paris FC's output per match with Otávio (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 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 (5)
WITHOUT (3)
Δ
goals against /match
1.20
1.00
+0.20
points /match
1.40
2.33
-0.93
goals for /match
1.60
1.67
-0.07
xG for /match
1.63
0.00
+1.63
15

His Share of the Team

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

category
share
him / team
clearances
16%
161 / 1023
interceptions
10%
35 / 342
tackles
8%
57 / 678
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

Playing-Style Profile

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.

Stopper centre-back63%Ball-playing centre-back56%
Why Stopper centre-back 63%: a weighted blend of ball-winning 72 (weight 40%) + defensive aggression 52 (weight 35%) + retention 41 (weight 15%) + transition 54 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
carrying, territory (wide vs central), ball-winning, progression
Average
line-breaking, build-up, crossing, transition, defensive aggression, creativity, final-third threat, receiving zones, dribbling, box threat, through-balls, retention, press resistance
Weak
passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
76
Territory (wide vs central)
75
Ball-winning
72
Progression
71
Line-breaking
64
Build-up
62
Crossing
57
Transition ~proxy
54
Defensive aggression
52
Creativity
52
Final-third threat
52
Receiving zones
48
Dribbling
45
Box threat
45
Through-balls ~proxy
45
Retention
41
Press resistance ~proxy
41
Passing directness
22
18

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: 187 cm / 79 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 Ligue 1, Bundesliga, La Liga, 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.

Johan Vásquez Genoa · Serie A · 184 cm / 78 kg
77%
Driven by: carrying (25%), passing directness (24%), progression (10%). Different mechanism — Vásquez more via through-balls, box threat.
Jaydee Canvot Crystal Palace · Premier League · 188 cm / 75 kg
75%
Driven by: passing directness (20%), ball-winning (19%), territory (wide vs central) (18%). Different mechanism — Canvot more via receiving zones.
Nnamdi Collins Eintracht Frankfurt · Bundesliga · 188 cm / 81 kg
71%
Driven by: carrying (20%), territory (wide vs central) (17%), ball-winning (16%). Different mechanism — Collins more via dribbling, through-balls.
Xavier Mandza Nice · 185 cm
69%
Driven by: ball-winning (26%), passing directness (22%), carrying (19%). Different mechanism — Otávio more via crossing, line-breaking; Mandza more via final-third threat.
Lilian Brassier Eintracht Frankfurt · Bundesliga · 186 cm / 78 kg
67%
Driven by: carrying (27%), progression (22%), territory (wide vs central) (15%). Different mechanism — Brassier more via passing directness, final-third threat.
Sadibou Sané Monaco · 185 cm / 76 kg
66%
Driven by: ball-winning (23%), carrying (22%), progression (15%). Different mechanism — Otávio more via territory (wide vs central), box threat; Sané more via receiving zones, retention.
19

Summary

Otávio is a stopper centre-back / ball-playing centre-back: 87% pass completion, 25 line-breaking passes and 5.0 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 5 matches (326 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back / ball-playing 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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