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Player reportPremier League 2026
COV

Tatsuhiro Sakamoto

Coventry
Balanced wide forward W
wing 66% · inside 34% — no dominant lane
right winger1v1 carriercuts insidehalf-space creator
233
minutes
4 apps
0
goals
0.22 xG
5
dribbles
60% won
0
key passes
0.00/90
0
box entries
0.00/90
2
progressive passes
0.8/90
5
final-3rd entries
1.9/90
65%
pass completion
49 passes
Overview

The player

Who he is and how he compares with his peers.

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 — mostly in the attacking third (51% of his 49 passes)
80% of touches wide right · 49× in 4/4 matches
↓
CARRY / BEAT MAN
dribble past the full-back, cut inside
60% won · 5× in 3/4 matches
Signature: Receive → Carry / Beat Man — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: progress — 2× (low confidence, shown as a number only, no tactical conclusion drawn); create / finish — 3× (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.

03

How dangerous are his carries?

Real ball-carries

17 tracked carries (6.6/90, 5 progressive, 178m 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.

6%82%12%
progressivelateral/short% of his 17 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 17m
By zone — where the carry started → where it ended
6Outside → Inside
1Inside → Inside
8Outside → Outside
2Inside → Outside
First (17)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 5 dribbles attempted this season — too little volume to map a location pattern.

02

How does he create chances?

0 key passes (0.00/90), 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 (0)assist (0)% of the selected group's key passes originating in each zone
05

Where does he become vulnerable?

19 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

12
attacking third (cheap)
4
middle third
3
own third (dangerous)
Vision AI 63% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.70 danger-index/90 · 0.231 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 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: 39% of his 18 touches there are lost (7 times).
—3 touches · too few—4 touches · too few—0 touches · too few—0 touches · too few—0 touches · too few33%4/12 lost—2 touches · too few—3 touches · too few—0 touches · too few—0 touches · too few39%7/18 lost—6 touches · too few—0 touches · too few—0 touches · too few—1 touch · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

06

How & where does he defend?

38 defensive actions across the season (14.7/90). 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 →
5
tackles · 100% won
1
interceptions · 0.4/90
11
recoveries · 4.2/90
3
clearances · 1.2/90
2
blocks
50
avg action height
11
won high (att 3rd)
15
middle third
12
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 17 proactive ball-wins (6.6/90), 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.

21
attacking-half actions · 8.11/90
Team

Team context

How much of the team runs through him, and what changes without him.

07

Impact on the Team

Coventry's output per match with Tatsuhiro Sakamoto (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
0.25
+1.00
xG for /match
1.09
0.85
+0.24
goals against /match
1.50
2.25
-0.75
points /match
0.75
0.75
+0.00
08

His Share of the Team

Of everything Coventry produced this season, the categories where the biggest share ran through Tatsuhiro Sakamoto specifically — his share of the team total, not a per-90 rate.

category
share
him / team
tackles
3%
5 / 160
successful take-ons
2%
3 / 144
ball recoveries
2%
11 / 626
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

09

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 234 wingers 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.

Pressing forward82%Transition runner57%Wide dribbler / isolator27%Inside forward16%
Why Pressing forward 82%: a weighted blend of defensive aggression 84 (weight 45%) + ball-winning 74 (weight 30%) + transition 55 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central), passing directness
Strong
defensive aggression, ball-winning
Average
dribbling, press resistance, transition
Weak
retention, crossing, build-up, carrying, final-third threat, box threat, line-breaking, progression, through-balls, receiving zones, creativity
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
98
Passing directness
93
Defensive aggression
84
Ball-winning
74
Dribbling
63
Press resistance ~proxy
57
Transition ~proxy
55
Retention
38
Crossing
17
Build-up
16
Carrying
14
Final-third threat
11
Box threat
10
Line-breaking
9
Progression
8
Through-balls ~proxy
8
Receiving zones
6
Creativity
5
10

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: 170 cm / 63 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.

Víctor García Levante · La Liga · 180 cm / 79 kg
83%
Driven by: creativity (13%), receiving zones (13%), line-breaking (10%). Different mechanism — Sakamoto more via defensive aggression; García more via build-up, through-balls.
Coba da Costa Getafe · La Liga 25/26 · 182 cm / 73 kg
81%
Driven by: defensive aggression (20%), box threat (11%), creativity (11%). Different mechanism — Costa more via final-third threat, carrying.
Santiago Pierotti Lecce · Serie A · 189 cm / 69 kg
79%
Driven by: defensive aggression (12%), creativity (12%), box threat (10%). Different mechanism — Sakamoto more via territory (wide vs central), dribbling; Pierotti more via build-up.
Malick Mbaye Metz · Ligue 1 25/26 · 173 cm / 71 kg
77%
Driven by: creativity (16%), box threat (12%), receiving zones (11%). Different mechanism — Sakamoto more via dribbling, passing directness; Mbaye more via build-up, crossing.
Elliot Stroud Hull City · 185 cm / 75 kg
75%
Driven by: box threat (15%), creativity (12%), progression (11%). Different mechanism — Sakamoto more via territory (wide vs central), defensive aggression; Stroud more via build-up, crossing.
Joel Mvuka Lorient · Ligue 1 25/26 · 176 cm / 66 kg
75%
Driven by: creativity (14%), receiving zones (11%), progression (10%). Different mechanism — Sakamoto more via passing directness, defensive aggression; Mvuka more via build-up, carrying.
11

Summary

Tatsuhiro Sakamoto is a wide, outside-first right carrier: 80% of dribbles in the wing lane, 69% of passes from wide — but 47% land inside. 0.8 progressive passes and 0.00 key passes /90 plus 0 goals from 0.22 xG. A carry-and-deliver threat.

Based on 4 matches (233 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 transition — 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.

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