Thin sample this season. Dwight McNeil has played 5 matches (206 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.
RECEIVE
Right Half-Space, Middle third — mostly in the middle third (53% of his 59 passes)
83% completion · 59× in 5/5 matches
↓
PROGRESS
drive or pass into the final third
1.3 prog/90 · 3× in 2/5 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.87 key passes /90 · 0 goals · 4× in 2/5 matches
Signature: Receive → Progress → Create / 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: arrive — 1× (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.
2 key passes (0.87/90), 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 (2)assist (0)% of the selected group's key passes originating in each zone
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 2 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 right wing in the middle third: 44% of his 9 touches there are lost (4 times).
27 defensive actions across the season (11.8/90). 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 →
1
tackles · 0% won
2
interceptions · 0.9/90
8
recoveries · 3.5/90
2
clearances · 0.9/90
1
blocks
40
avg action height
3
won high (att 3rd)
12
middle third
12
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 11 proactive ball-wins (4.8/90), tackle success 0%. He defends mostly around the middle third.
Team
Team context
How much of the team runs through him, and what changes without him.
Crystal Palace's output per match with Dwight McNeil (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (5)
WITHOUT (3)
Δ
goals for /match
0.80
1.67
-0.87
xG for /match
1.24
0.56
+0.68
goals against /match
2.80
1.67
+1.13
points /match
0.60
1.33
-0.73
06
His Share of the Team
Of everything Crystal Palace produced this season, the categories where the biggest share ran through Dwight McNeil specifically — his share of the team total, not a per-90 rate.
category
share
him / team
shots
5%
26 / 558
expected assists (xA)
4%
1.6 / 41.7
ball recoveries
4%
70 / 1962
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 382 central 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.
Why Transition runner 45%: a weighted blend of defensive aggression 55 (weight 30%) + transition 36 (weight 45%) + box threat 63 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
85
Through-balls ~proxy
67
Box threat
63
Line-breaking
56
Defensive aggression
55
Creativity
52
Ball-winning
51
Dribbling
49
Press resistance ~proxy
48
Crossing
42
Final-third threat
39
Receiving zones
38
Transition ~proxy
36
Retention
35
Progression
32
Carrying
30
Passing directness
21
Build-up
12
08
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: 183 cm / 68 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.
Nico González Juventus · Serie A · 180 cm / 77 kg
72%
Driven by: build-up (30%), passing directness (16%), transition (12%). Different mechanism — González more via dribbling, defensive aggression.
Jurgen Ekkelenkamp Udinese · Serie A · 188 cm / 83 kg
71%
Driven by: build-up (38%), passing directness (11%), progression (9%). Different mechanism — McNeil more via through-balls, line-breaking.
Rodrigo Gomes Wolves 25/26 · 175 cm / 67 kg
70%
Driven by: build-up (31%), territory (wide vs central) (13%), passing directness (12%). Different mechanism — McNeil more via creativity, line-breaking; Gomes more via carrying.
Iker Losada Levante · La Liga · 175 cm / 70 kg
69%
Driven by: build-up (33%), territory (wide vs central) (16%), retention (11%). Different mechanism — McNeil more via line-breaking, retention; Losada more via passing directness.
Enzo Le Fée Sunderland · 173 cm / 63 kg
65%
Driven by: build-up (23%), passing directness (15%), territory (wide vs central) (12%). Different mechanism — McNeil more via dribbling; Fée more via progression, crossing.
Javi Rueda Celta Vigo · La Liga · 177 cm / 74 kg
65%
Driven by: territory (wide vs central) (20%), build-up (18%), passing directness (18%). Different mechanism — McNeil more via box threat, transition; Rueda more via line-breaking, progression.
09
Summary
Dwight McNeil is a transition runner: 1.3 progressive passes, 0.87 key passes /90, 1 box entries, 0 goals from 0.11 xG. A box-to-box contributor across every phase.
Based on 5 matches (206 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a 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 transition runner 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.
← BACK TO SEARCH
