Thin sample this season. Danny Welbeck has played 6 matches (132 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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.
Signature: Only Link shows a proven, repeatable pattern this season — too little evidence yet (6 matches loaded) for a fuller signature chain.
Not a pattern: receive / move — 0× (insufficient confidence, hidden — not enough evidence yet); finish — 0× (insufficient confidence, hidden — not enough evidence yet); convert — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Danny Welbeck keep producing when the game is tight and the press is high? Tiers of ~2-2 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.9, 2m)
0.02
0.0
0.00
0%
Mid press (PPDA 5.1, 2m)
0.25
0.0
0.00
0%
Low press (PPDA 5.8, 2m)
0.29
0.0
3.03
0%
Team
Team context
How much of the team runs through him, and what changes without him.
Chelsea's output per match with Danny Welbeck (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
1.67
3.50
-1.83
xG for /match
0.82
2.24
-1.42
goals against /match
1.67
2.50
-0.83
points /match
1.17
3.00
-1.83
04
His Share of the Team
Of everything Chelsea produced this season, the categories where the biggest share ran through Danny Welbeck specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected goals (xG)
13%
10.7 / 82.2
shots
8%
56 / 733
zone-14 entries
4%
18 / 481
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 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.
aerial ability, marking, off-ball running — not in event data
Build-up
82
Retention
79
Receiving zones
74
Ball-winning
64
Creativity
61
Press resistance ~proxy
53
Box threat
49
Final-third threat
47
Crossing
38
Transition ~proxy
29
Dribbling
29
Defensive aggression
27
Carrying
27
Passing directness
24
Progression
23
Line-breaking
20
Through-balls ~proxy
20
Territory (wide vs central)
14
06
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: 185 cm / 73 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.
Evanilson Bournemouth · 183 cm / 80 kg
78%
Driven by: retention (16%), territory (wide vs central) (15%), build-up (15%). Different mechanism — Welbeck more via build-up, receiving zones; Evanilson more via line-breaking, progression.
Gonçalo Ramos AC Milan · Serie A · 185 cm / 79 kg
77%
Driven by: build-up (25%), retention (11%), line-breaking (10%). Different mechanism — Ramos more via box threat, dribbling.
Patrik Schick Leverkusen · Bundesliga · 191 cm / 86 kg
77%
Driven by: defensive aggression (14%), build-up (12%), transition (11%). Different mechanism — Welbeck more via ball-winning, final-third threat; Schick more via box threat.
Boulaye Dia Rennes · Serie A · 180 cm / 75 kg
74%
Driven by: build-up (25%), defensive aggression (13%), retention (12%). Different mechanism — Welbeck more via box threat; Dia more via through-balls, crossing.
Robert Lewandowski Barcelona · La Liga 25/26 · 186 cm / 81 kg
74%
Driven by: retention (13%), build-up (11%), line-breaking (11%). Different mechanism — Welbeck more via ball-winning, final-third threat; Lewandowski more via box threat, dribbling.
Álvaro Morata Como · Serie A · 190 cm / 84 kg
74%
Driven by: build-up (17%), territory (wide vs central) (15%), line-breaking (15%). Different mechanism — Welbeck more via retention, press resistance; Morata more via passing directness, crossing.
07
Summary
Danny Welbeck is a false 9: 0 goals from 0.00 xG (+0.00 vs expected), 0 shots, 0 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 6 matches (132 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 progression — even a modest improvement there would meaningfully lift his overall false 9 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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