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Player reportSerie A 2026

Kieron Bowie

Sassuolo
False 9 (dropping forward) ST
average position x=61 — drops deep · 1.60 key passes/90
Capability Analysis
Finishing40%vs 21 strikers
"Does he finish better than the quality of chance he gets?"
Goals above expected0.04goals24%
Placement quality vs xG0.16index62%
Shots on target26.033%
Box Threat25%vs 21 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.25xG14%
Shots /902.3643%
xGOT /900.26xGOT19%
Ball-Carrying26%vs 21 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /901.5933%
Carry distance /9045.51m48%
Successful take-ons /900.3114%
Take-on success27.27%10%
Aerial Threat0%vs 21 strikers
"Is he a genuine aerial outlet -- can he win headers, not just occupy space?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
strikerfalse 9box threatfinishing
505
minutes
9 apps
1
goals
1.57 xG
1.6
xG
13 shots
13
shots
0.12 xG/shot
3
box entries
0.53/90
9
key passes
1.60/90
3
dribbles
33% won
78%
pass completion
90 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 / MOVE
occupy the box, drop or run channel — mostly in the middle third (60% of his 90 passes)
0.53 box entries/90 · 3× in 3/9 matches
↓
LINK
lay-off and combine
9 key passes · 78% completion · 90× in 9/9 matches
↓
FINISH
shoot from central zones
1.57 xG · 13× in 7/9 matches
↓
CONVERT
goals vs expected
1 goals (-0.6 vs xG) · 1× in 7/9 matches
Signature: occupy / move → link → shoot → convert.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

06

How dangerous are his carries?

Real ball-carries

20 tracked carries (3.6/90, 3 progressive, 153m 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.

15%20%10%5%15%5%10%5%5%5%5%
progressivelateral/short% of his 20 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 23m
By zone — where the carry started → where it ended
3Outside → Inside
12Inside → Inside
1Outside → Outside
4Inside → Outside
First (20)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 3 dribbles attempted this season — too little volume to map a location pattern.

04

How does he create chances?

9 key passes (1.60/90), 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:
22%11%33%11%11%11%
chance creation (9)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 (5)from the right (4)of 9 key passes landing in the final thirdattacking ↑ toward goal
02

Can he finish?

13 shots · 1.57 xG · 1 goals (-0.57 vs xG). Mostly left-footed. Circle size = xG.

shots  13
on target  7
goals  1
xG  1.57
xG on target  1.09
xG / shot  0.121
Where he shoots from — click an area of the box
05

Where does he become vulnerable?

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

9
attacking third (cheap)
10
middle third
3
own third (dangerous)
Vision AI 41% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.04 danger-index/90 · 0.266 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03

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 9 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central in the final third — 2 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 half-space in the middle third: 38% of his 8 touches there are lost (3 times).
—0 touches · too few—1 touch · too few—2 touches · too few—1 touch · too few—0 touches · too few—2 touches · too few38%3/8 lost15%5/33 lost12%1/8 lost—3 touches · too few—6 touches · too few—4 touches · too few30%3/10 lost11%1/9 lost—3 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

08

How & where does he defend?

47 defensive actions across the season (8.4/90). 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 →
3
tackles · 33% won
1
interceptions · 0.2/90
7
recoveries · 1.2/90
3
clearances · 0.5/90
2
blocks
52
avg action height
15
won high (att 3rd)
21
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 (2.0/90), tackle success 33%. 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.

24
attacking-half actions · 4.28/90
07

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Kieron Bowie keep producing when the game is tight and the press is high? Tiers of ~3-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.7, 3m)
0.17
0.4
0.80
50%
Mid press (PPDA 6.1, 3m)
0.13
0.0
0.00
0%
Low press (PPDA 7.7, 3m)
0.27
0.9
3.32
0%
Team

Team context

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

09

Impact on the Team

Insufficient sample: Kieron Bowie played nearly every Sassuolo 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.

10

His Share of the Team

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

category
share
him / team
expected goals (xG)
11%
5.0 / 43.7
shots
9%
46 / 509
goals
8%
1 / 13
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

11

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 299 strikers 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.

False 944%Transition runner42%Pressing forward40%Target man39%
Why False 9 44%: a weighted blend of creativity 43 (weight 30%) + build-up 47 (weight 25%) + progression 57 (weight 20%) + box threat 44 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
line-breaking, progression, territory (wide vs central), transition, build-up, carrying, ball-winning, box threat, creativity, passing directness, defensive aggression, retention, final-third threat
Weak
receiving zones, crossing, through-balls, press resistance, dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Line-breaking
66
Progression
57
Territory (wide vs central)
56
Transition ~proxy
50
Build-up
47
Carrying
45
Ball-winning
44
Box threat
44
Creativity
43
Passing directness
42
Defensive aggression
42
Retention
41
Final-third threat
41
Receiving zones
37
Crossing
37
Through-balls ~proxy
30
Press resistance ~proxy
29
Dribbling
23
12

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: 190 cm / 83 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.

Robinio Vaz Hull City · 185 cm / 75 kg
73%
Driven by: dribbling (25%), press resistance (24%), crossing (11%). Different mechanism — Bowie more via passing directness, build-up; Vaz more via ball-winning, receiving zones.
Terem Moffi Hamburg · Bundesliga · 188 cm / 87 kg
71%
Driven by: dribbling (26%), through-balls (21%), press resistance (15%). Different mechanism — Bowie more via ball-winning, through-balls.
Jamie Vardy Cremonese 25/26 · 179 cm / 74 kg
69%
Driven by: press resistance (21%), dribbling (15%), through-balls (9%). Different mechanism — Bowie more via box threat, carrying; Vardy more via passing directness.
Conrad Harder RBL · Bundesliga · 185 cm / 71 kg
68%
Driven by: press resistance (21%), dribbling (21%), crossing (17%). Different mechanism — Bowie more via crossing, passing directness; Harder more via carrying, receiving zones.
Willem Geubbels Lecce · 185 cm / 81 kg
66%
Driven by: press resistance (26%), dribbling (26%), through-balls (13%). Different mechanism — Bowie more via line-breaking, retention; Geubbels more via territory (wide vs central), box threat.
Mikkel Kaufmann Heidenheim · Bundesliga 25/26 · 190 cm / 81 kg
65%
Driven by: press resistance (27%), dribbling (26%), through-balls (14%). Different mechanism — Bowie more via line-breaking, carrying; Kaufmann more via passing directness, crossing.
13

Summary

Kieron Bowie is a false 9: 1 goals from 1.57 xG (-0.57 vs expected), 13 shots, 3 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 9 matches (505 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a false 9 — best used in a system built around that identity. His biggest room for growth is creativity — even a modest improvement there would meaningfully lift his overall false 9 profile.
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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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