His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.
Signature: Link → Finish → Convert — 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: receive / move — 0× (insufficient confidence, hidden — not enough evidence yet) — 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.
1 key passes (0.37/90), 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
Box deliveries — key passes reaching the final third, by flank
from the left (1)from the right (0)of 1 key passes landing in the final thirdattacking ↑ toward goal
22 defensive actions across the season (8.2/90). 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 →
2
tackles · 50% won
0
interceptions · 0.0/90
2
recoveries · 0.7/90
4
clearances · 1.5/90
0
blocks
48
avg action height
8
won high (att 3rd)
5
middle third
9
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 4 proactive ball-wins (1.5/90), 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.
10
attacking-half actions · 3.73/90
Team
Team context
How much of the team runs through him, and what changes without him.
Lille's output per match with Ayase Ueda (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. A proper on-off model needs many more minutes.
WITH (4)
WITHOUT (4)
Δ
goals for /match
1.25
1.50
-0.25
xG for /match
1.17
0.00
+1.17
goals against /match
0.50
1.00
-0.50
points /match
2.25
1.50
+0.75
05
His Share of the Team
Of everything Lille produced this season, the categories where the biggest share ran through Ayase Ueda specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
40%
2 / 5
expected goals (xG)
4%
1.4 / 37.3
shots
2%
9 / 382
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 354 strikers in the pool (min 180 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 Target man 71%: a weighted blend of box threat 83 (weight 50%) + retention 78 (weight 20%) + final-third threat 30 (weight 30%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Box threat
83
Retention
78
Receiving zones
54
Press resistance ~proxy
46
Crossing
45
Build-up
44
Creativity
36
Final-third threat
30
Territory (wide vs central)
28
Defensive aggression
25
Ball-winning
23
Progression
22
Dribbling
22
Carrying
19
Transition ~proxy
16
Passing directness
15
Through-balls ~proxy
14
Line-breaking
7
07
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: 182 cm / 76 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.
Patrik Schick Leverkusen · Bundesliga · 191 cm / 86 kg
85%
Driven by: transition (14%), defensive aggression (13%), box threat (11%). Different mechanism — Schick more via build-up, receiving zones.
Tasos Douvikas Como · Serie A · 186 cm / 76 kg
84%
Driven by: line-breaking (14%), through-balls (11%), transition (9%). Different mechanism — Ueda more via receiving zones; Douvikas more via carrying, passing directness.
Emmanuel Emegha Strasbourg 25/26 · 196 cm / 82 kg
83%
Driven by: defensive aggression (17%), ball-winning (10%), line-breaking (10%). Different mechanism — Ueda more via final-third threat, defensive aggression; Emegha more via dribbling, carrying.
Marc Guiu RBL · Bundesliga · 187 cm / 82 kg
82%
Driven by: transition (16%), ball-winning (11%), line-breaking (10%). Different mechanism — Ueda more via receiving zones, retention; Guiu more via defensive aggression.
Cédric Bakambu Real Betis · La Liga 25/26 · 182 cm / 74 kg
82%
Driven by: line-breaking (14%), transition (13%), dribbling (10%). Different mechanism — Ueda more via crossing, receiving zones.
Bamba Dieng Lorient 25/26 · 178 cm / 78 kg
76%
Driven by: defensive aggression (11%), passing directness (10%), through-balls (9%). Different mechanism — Ueda more via crossing, receiving zones; Dieng more via build-up, ball-winning.
08
Summary
Ayase Ueda is a target man / poacher: 2 goals from 1.42 xG (+0.58 vs expected), 9 shots, 0 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 4 matches (241 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a target man / poacher — 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 target man profile.
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