Thin sample this season. Harouna Djibirin has played 7 matches (162 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, Attacking third — between the lines — mostly in the attacking third (55% of his 51 passes)
69% completion · 51× in 7/7 matches
↓
TURN / BEAT MAN
face forward in the pocket
33% won · 6× in 4/7 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 0.42 xG · 5× in 4/7 matches
Signature: Receive → Turn / Beat Man → Finish — the only steps proven repeatable this season (3 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) — 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.
24 tracked carries (13.3/90, 9 progressive, 300m 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 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 36m
By zone — where the carry started → where it ended
First (21)Second (3)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 6 dribbles attempted this season — too little volume to map a location pattern.
02
How does he create chances?
2 key passes (1.11/90), 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
05
Where does he become vulnerable?
20 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
14
attacking third (cheap)
5
middle third
1
own third (dangerous)
Vision AI 70% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.92 danger-index/90 · 0.173 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 central 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 final third: 46% of his 13 touches there are lost (6 times).
33 defensive actions across the season (18.3/90). 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 →
2
tackles · 100% won
2
interceptions · 1.1/90
7
recoveries · 3.9/90
2
clearances · 1.1/90
5
blocks
48
avg action height
10
won high (att 3rd)
12
middle third
11
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 11 proactive ball-wins (6.1/90), tackle success 100%. 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.
15
attacking-half actions · 8.33/90
06
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Harouna Djibirin keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.9, 2m)
0.79
0.0
1.64
50%
Mid press (PPDA 4.5, 2m)
0.19
0.0
0.00
100%
Low press (PPDA 6.1, 3m)
0.27
0.0
1.41
0%
Team
Team context
How much of the team runs through him, and what changes without him.
Angers's output per match with Harouna Djibirin (7 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (7)
WITHOUT (1)
Δ
goals for /match
1.14
1.00
+0.14
xG for /match
1.33
1.16
+0.16
goals against /match
1.43
5.00
-3.57
points /match
1.14
0.00
+1.14
09
His Share of the Team
Of everything Angers produced this season, the categories where the biggest share ran through Harouna Djibirin specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
11%
1 / 9
shots
4%
12 / 328
expected goals (xG)
4%
1.1 / 31.0
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)34%Half-space creator33%
Why Advanced playmaker (8) 34%: a weighted blend of creativity 47 (weight 35%) + progression 30 (weight 25%) + box threat 49 (weight 15%) + final-third threat 26 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
territory (wide vs central), ball-winning, transition, carrying
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
81
Ball-winning
75
Transition ~proxy
71
Carrying
70
Defensive aggression
62
Box threat
49
Creativity
47
Passing directness
40
Build-up
30
Progression
30
Crossing
29
Final-third threat
26
Dribbling
19
Press resistance ~proxy
18
Receiving zones
17
Retention
10
Line-breaking
9
Through-balls ~proxy
9
11
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: 175 cm) 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.
Alex Sancris Getafe · La Liga 25/26 · 177 cm / 72 kg
82%
Driven by: retention (13%), press resistance (10%), build-up (10%). Different mechanism — Djibirin more via box threat, ball-winning.
Kaïl Boudache Lyon
81%
Driven by: build-up (11%), retention (11%), press resistance (10%). Different mechanism — Djibirin more via creativity; Boudache more via line-breaking, dribbling.
Ansgar Knauff Eintracht Frankfurt · Bundesliga · 180 cm / 73 kg
81%
Driven by: retention (14%), press resistance (14%), territory (wide vs central) (10%). Different mechanism — Djibirin more via ball-winning, creativity; Knauff more via through-balls.
Dan Ndoye Nottingham Forest · Premier League · 184 cm / 72 kg
79%
Driven by: receiving zones (13%), retention (12%), territory (wide vs central) (11%). Different mechanism — Djibirin more via transition; Ndoye more via through-balls, dribbling.
Tyrhys Dolan Espanyol · La Liga · 164 cm / 63 kg
79%
Driven by: ball-winning (12%), line-breaking (11%), receiving zones (11%). Different mechanism — Djibirin more via box threat; Dolan more via dribbling, retention.
Vítinha Genoa · Serie A · 178 cm / 74 kg
78%
Driven by: retention (14%), receiving zones (11%), line-breaking (10%). Different mechanism — Djibirin more via carrying, creativity; Vítinha more via passing directness, dribbling.
12
Summary
Harouna Djibirin is an advanced playmaker (8): 1.11 key passes /90, 0.0 progressive passes, 1 goals from 0.42 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 7 matches (162 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 final-third threat — 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.