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
Left Wing, Attacking third — mostly in the attacking third (57% of his 130 passes)
Signature: Receive → Carry / Beat Man → Create / 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: progress — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
17
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 →
19
passes / match
3.0
dribbles / match
8–24
pass range (matches)
2–4
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (8 at the low end, 24 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
63 tracked carries (11.6/90, 30 progressive, 841m 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 63 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 12m, longest 47m
By zone — where the carry started → where it ended
First (32)Second (18)Third (7)Fourth (6)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Alieu Njie's signature is the dribble. Does he carry outside (down the left wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 3.88 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 29%
OUTSIDE 71%
Dribble location — 6 inside · 15 outside
Right Wing
2 · 10%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
6 · 29%
Left Wing
13 · 62%
Vision AI 71% of his dribbles are in the wide left lane — he attacks the full-back on the outside, then threatens to cut inside onto his right foot.
05
How does he create chances?
12 key passes (2.22/90), 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 (12)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 (9)from the right (3)of 12 key passes landing in the final thirdattacking ↑ toward goal
10
Can he finish?
12 shots · 1.22 xG · 0 goals (-1.22 vs xG). Mostly right-footed. Circle size = xG.
shots 12 on target 6 goals 0 xG 1.22 xG on target 0.77 xG / shot 0.101
Where he shoots from — click an area of the box
11
Where does he become vulnerable?
41 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
24
attacking third (cheap)
13
middle third
4
own third (dangerous)
Vision AI 59% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.47 danger-index/90 · 0.195 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
02
Where Does He Receive?
The zones where Alieu Njie 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).
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
30%
Primary
Left Wing, Attacking third
21%
Secondary
Left Wing, Middle third
15%
Third
Left Half-Space, Attacking third
These are the zones where he collected the ball most.
03
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Alieu Njie 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 →
12
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.
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 12 key passes, his busiest route is a delivery where he plays inside from the left hs toward the central in the final third — 4 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 middle third: 44% of his 9 touches there are lost (4 times).
07
Does he carry inside or outside — his ball-carries across the pitch
Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.
own goal left, attacking →
Across 63 ball-carries, his dominant tendency is that he drives along the touchline (59%). He carries from outside into the middle 10 times and out toward the touchline 4 — a genuine inside forward who cuts in with the ball.
06
What happens right after he carries the ball
Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.
Shot
3 · 5%
Progressive / key pass
8 · 13%
Simple pass
33 · 52%
No clean link
19 · 30%
Of 63 carries, 5% flow straight into a shot of his own, 13% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 30% have no clean link to a next touch of his own close to where the carry ended.
08
Crosses & Cutbacks
2 crosses (0.37/90, 0 completed) and 5 cutbacks (0.92/90, 3 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
71 defensive actions across the season (13.1/90). 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 · 43% won
1
interceptions · 0.2/90
19
recoveries · 3.5/90
8
clearances · 1.5/90
5
blocks
47
avg action height
18
won high (att 3rd)
29
middle third
24
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 27 proactive ball-wins (5.0/90), tackle success 43%. 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.
36
attacking-half actions · 6.65/90
13
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Alieu Njie 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 3.4, 2m)
0.43
0.0
2.25
67%
Mid press (PPDA 4.1, 2m)
0.25
0.0
2.08
57%
Low press (PPDA 5.2, 3m)
0.31
0.0
2.34
38%
Team
Team context
How much of the team runs through him, and what changes without him.
Fiorentina's output per match with Alieu Njie (6 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (6)
WITHOUT (2)
Δ
goals for /match
1.50
0.00
+1.50
xG for /match
1.45
0.00
+1.45
goals against /match
2.00
3.50
-1.50
points /match
0.67
0.00
+0.67
16
His Share of the Team
Of everything Fiorentina produced this season, the categories where the biggest share ran through Alieu Njie specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected assists (xA)
7%
2.0 / 30.1
successful take-ons
5%
18 / 377
expected goals (xG)
4%
2.0 / 48.3
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 180 wingers 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.
Why Pressing forward 70%: a weighted blend of defensive aggression 82 (weight 45%) + ball-winning 44 (weight 30%) + transition 45 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Dribbling
86
Defensive aggression
82
Creativity
69
Press resistance ~proxy
66
Carrying
59
Box threat
55
Receiving zones
48
Transition ~proxy
45
Ball-winning
44
Retention
44
Territory (wide vs central)
23
Final-third threat
22
Progression
18
Build-up
15
Crossing
10
Passing directness
8
Through-balls ~proxy
4
Line-breaking
2
19
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: 171 cm / 60 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.
Jan Virgili Mallorca · La Liga 25/26 · 168 cm
82%
Driven by: through-balls (14%), line-breaking (13%), crossing (13%). Different mechanism — Njie more via box threat, defensive aggression.
Joaquín Muñoz Malaga · La Liga · 173 cm / 60 kg
76%
Driven by: through-balls (14%), crossing (12%), passing directness (11%). Different mechanism — Njie more via box threat, carrying; Muñoz more via territory (wide vs central).
Ernest Nuamah Lyon · Ligue 1 · 178 cm / 71 kg
73%
Driven by: build-up (17%), line-breaking (14%), dribbling (12%). Different mechanism — Njie more via creativity, defensive aggression; Nuamah more via crossing, box threat.
Giorgi Kvernadze Frosinone · 188 cm / 67 kg
71%
Driven by: dribbling (14%), through-balls (12%), passing directness (12%). Different mechanism — Njie more via defensive aggression; Kvernadze more via carrying, crossing.
Gabriel Martinelli Arsenal · Premier League 25/26 · 178 cm / 74 kg
69%
Driven by: build-up (17%), crossing (17%), line-breaking (14%). Different mechanism — Njie more via creativity, carrying; Martinelli more via passing directness.
Saïd El Mala Koln · Bundesliga · 183 cm / 72 kg
64%
Driven by: build-up (19%), line-breaking (14%), through-balls (14%). Different mechanism — Njie more via creativity, receiving zones; Mala more via passing directness, box threat.
20
Summary
Alieu Njie is a wide, outside-first left carrier: 71% of dribbles in the wing lane, 58% of passes from wide — but 67% land inside. 0.0 progressive passes and 2.22 key passes /90 plus 0 goals from 1.22 xG. A carry-and-deliver threat.
Based on 7 matches (487 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a pressing forward / transition runner — best used in a system built around that identity.
His biggest room for growth is ball-winning — even a modest improvement there would meaningfully lift his overall pressing forward 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.