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 — between the lines — mostly in the middle third (47% of his 77 passes)
74% completion · 77× in 8/8 matches
↓
TURN / BEAT MAN
face forward in the pocket
20% won · 10× in 5/8 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 0.75 xG · 4× in 4/8 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 — 1× (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.
17 tracked carries (3.4/90, 7 progressive, 197m 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 17 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 28m
By zone — where the carry started → where it ended
First (17)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: 2.00 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 20%
OUTSIDE 80%
Dribble location — 2 inside · 8 outside
Right Wing
4 · 40%
Right Half-Space
0 · 0%
Central
1 · 10%
Left Half-Space
1 · 10%
Left Wing
4 · 40%
Vision AI His carries cluster wide — a drifting playmaker.
02
How does he create chances?
1 key passes (0.20/90), 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 (0)from the right (1)of 1 key passes landing in the final thirdattacking ↑ toward goal
05
Where does he become vulnerable?
28 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
16
attacking third (cheap)
10
middle third
2
own third (dangerous)
Vision AI 57% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.19 danger-index/90 · 0.212 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 1 key passes, his busiest route is a delivery where he plays straight through 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 left wing in the final third: 42% of his 12 touches there are lost (5 times).
64 defensive actions across the season (12.8/90). 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 →
10
tackles · 70% won
0
interceptions · 0.0/90
9
recoveries · 1.8/90
8
clearances · 1.6/90
9
blocks
47
avg action height
12
won high (att 3rd)
32
middle third
20
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 19 proactive ball-wins (3.8/90), tackle success 70%. 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.
31
attacking-half actions · 6.20/90
06
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Daizen Maeda 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 3.8, 2m)
0.22
0.0
0.00
0%
Mid press (PPDA 4.4, 2m)
0.04
0.0
0.00
0%
Low press (PPDA 5.4, 4m)
0.03
0.0
0.46
33%
Team
Team context
How much of the team runs through him, and what changes without him.
Insufficient sample: Daizen Maeda played nearly every Ipswich 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.
09
His Share of the Team
Of everything Ipswich produced this season, the categories where the biggest share ran through Daizen Maeda specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
8%
1 / 12
tackles
3%
10 / 376
expected goals (xG)
2%
0.8 / 33.4
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.
Half-space creator8%Advanced playmaker (8)8%
Why Half-space creator 8%: a weighted blend of box threat 16 (weight 15%) + creativity 4 (weight 40%) + dribbling 5 (weight 15%) + final-third threat 2 (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
Defensive aggression
93
Ball-winning
39
Territory (wide vs central)
36
Build-up
35
Retention
28
Box threat
16
Press resistance ~proxy
16
Dribbling
5
Receiving zones
5
Carrying
4
Creativity
4
Transition ~proxy
4
Crossing
3
Progression
3
Through-balls ~proxy
3
Final-third threat
2
Line-breaking
2
Passing directness
2
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: 173 cm / 67 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.
Unai Gómez Udinese · Serie A · 183 cm / 75 kg
92%
Driven by: transition (14%). Different mechanism — Maeda more via defensive aggression, ball-winning; Gómez more via crossing, dribbling.
Gabriele Piccinini Pisa · Serie A 25/26 · 184 cm / 76 kg
91%
Driven by: crossing (14%), transition (10%), defensive aggression (10%). Different mechanism — Piccinini more via creativity, box threat.
Takuma Asano Mallorca · La Liga 25/26 · 173 cm / 71 kg
90%
Driven by: transition (11%), crossing (10%), press resistance (8%). Different mechanism — Maeda more via defensive aggression, build-up; Asano more via box threat, creativity.
Diego López Valencia · La Liga 25/26 · 172 cm / 62 kg
85%
Driven by: crossing (12%), dribbling (10%), press resistance (10%). Different mechanism — Maeda more via defensive aggression; López more via passing directness, line-breaking.
Kareem Tunde Levante · La Liga · 177 cm
82%
Driven by: creativity (14%), defensive aggression (11%), progression (10%). Different mechanism — Tunde more via territory (wide vs central), ball-winning.
Brennan Johnson Everton · 186 cm / 73 kg
81%
Driven by: creativity (10%), progression (10%), press resistance (9%). Different mechanism — Maeda more via defensive aggression; Johnson more via passing directness, through-balls.
12
Summary
Daizen Maeda is a half-space creator: 0.20 key passes /90, 0.0 progressive passes, 1 goals from 0.75 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 8 matches (450 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator — 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 half-space creator 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.
