Thin sample this season. Dango Ouattara has played 8 matches (348 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, Attacking third — between the lines — mostly in the attacking third (46% of his 98 passes)
61% completion · 98× in 8/8 matches
↓
TURN / BEAT MAN
face forward in the pocket
32% won · 19× in 7/8 matches
↓
CREATE
through-ball, cut-back, key pass
2.07/90 · 8× in 5/8 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 1.07 xG · 9× in 5/8 matches
Signature: receive between the lines → turn → create or finish.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
23 tracked carries (5.9/90, 14 progressive, 329m 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 23 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 11m, longest 46m
By zone — where the carry started → where it ended
First (23)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Does he carry to create or drift wide? Dribbles by channel. Season rate: 4.91 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 32%
OUTSIDE 68%
Dribble location — 6 inside · 13 outside
Right Wing
13 · 68%
Right Half-Space
4 · 21%
Central
2 · 11%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI His carries cluster wide — a drifting playmaker.
02
How does he create chances?
8 key passes (2.07/90), 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 (8)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 (2)from the right (6)of 8 key passes landing in the final thirdattacking ↑ toward goal
06
Where does he become vulnerable?
51 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
29
attacking third (cheap)
13
middle third
9
own third (dangerous)
Vision AI 57% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 3.30 danger-index/90 · 0.250 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Dango Ouattara 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:
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.
own goal left, attacking →
05
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 8 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central in the final third — 3 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 central in the final third: 56% of his 9 touches there are lost (5 times).
07
Crosses & Cutbacks
1 crosses (0.26/90, 0 completed) and 5 cutbacks (1.29/90, 2 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.
Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
75 defensive actions across the season (19.4/90). 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 →
6
tackles · 50% won
6
interceptions · 1.6/90
26
recoveries · 6.7/90
10
clearances · 2.6/90
0
blocks
42
avg action height
16
won high (att 3rd)
24
middle third
35
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 38 proactive ball-wins (9.8/90), tackle success 50%. He defends high, stepping out to intercept — suits a high line.
Defensive work in the attacking half
Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.
30
attacking-half actions · 7.76/90
08
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Dango Ouattara keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.0, 2m)
0.55
4.4
1.11
0%
Mid press (PPDA 3.8, 2m)
0.59
4.4
1.48
0%
Low press (PPDA 4.3, 4m)
0.94
2.2
2.62
46%
Team
Team context
How much of the team runs through him, and what changes without him.
Insufficient sample: Dango Ouattara played nearly every Brentford match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.
11
His Share of the Team
Of everything Brentford produced this season, the categories where the biggest share ran through Dango Ouattara specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected goals (xG)
10%
8.3 / 82.1
shots
10%
65 / 675
successful take-ons
7%
29 / 391
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.
Advanced playmaker (8)33%Half-space creator30%
Why Advanced playmaker (8) 33%: a weighted blend of box threat 73 (weight 15%) + progression 37 (weight 25%) + final-third threat 37 (weight 25%) + creativity 24 (weight 35%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness
Strong
box threat
Average
territory (wide vs central), ball-winning, transition, through-balls, defensive aggression, crossing
aerial ability, marking, off-ball running — not in event data
Passing directness
93
Box threat
73
Territory (wide vs central)
63
Ball-winning
61
Transition ~proxy
60
Through-balls ~proxy
49
Defensive aggression
47
Crossing
40
Progression
37
Final-third threat
37
Line-breaking
34
Carrying
34
Dribbling
26
Creativity
24
Press resistance ~proxy
22
Build-up
21
Receiving zones
16
Retention
4
13
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: 177 cm / 71 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.
Vítinha Genoa · Serie A · 178 cm / 74 kg
85%
Driven by: retention (18%), build-up (14%), receiving zones (12%). Different mechanism — Ouattara more via through-balls, crossing; Vítinha more via dribbling.
Federico Chiesa Liverpool · 175 cm / 70 kg
82%
Driven by: retention (18%), press resistance (15%), build-up (14%). Different mechanism — Ouattara more via through-balls, line-breaking; Chiesa more via receiving zones.
Kevin Schade Brentford · 183 cm / 74 kg
82%
Driven by: retention (17%), press resistance (13%), passing directness (11%). Different mechanism — Ouattara more via through-balls, final-third threat; Schade more via defensive aggression.
Hugo Bolin Borussia Monchengladbach · Bundesliga · 179 cm / 64 kg
80%
Driven by: press resistance (15%), receiving zones (14%), passing directness (13%). Different mechanism — Bolin more via retention, build-up.
Ansgar Knauff Eintracht Frankfurt · Bundesliga · 180 cm / 73 kg
74%
Driven by: retention (19%), build-up (16%), press resistance (15%). Different mechanism — Ouattara more via passing directness, box threat; Knauff more via territory (wide vs central), carrying.
Mattéo Tramoni Pisa · Serie A 25/26 · 175 cm / 72 kg
73%
Driven by: retention (20%), passing directness (17%), press resistance (16%). Different mechanism — Ouattara more via box threat, carrying; Tramoni more via creativity, through-balls.
14
Summary
Dango Ouattara is an advanced playmaker (8): 2.07 key passes /90, 3.1 progressive passes, 1 goals from 1.07 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 8 matches (348 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) — best used in a system built around that identity.
His biggest room for growth is creativity — even a modest improvement there would meaningfully lift his overall advanced playmaker (8) 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.