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, Middle third — mostly in the middle third (58% of his 69 passes)
90% completion · 69× in 4/4 matches
Signature: Only Receive shows a proven, repeatable pattern this season — too little evidence yet (4 matches loaded) for a fuller signature chain.
Not a pattern: progress — 2× (low confidence, shown as a number only, no tactical conclusion drawn); arrive — 1× (low confidence, shown as a number only, no tactical conclusion drawn); create / finish — 2× (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.
24 tracked carries (19.5/90, 5 progressive, 240m 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 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 24m
By zone — where the carry started → where it ended
First (17)Second (7)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 2 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
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 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 middle third: 8% of his 12 touches there are lost (1 times).
Team
Team context
How much of the team runs through him, and what changes without him.
Fulham's output per match with Manuel Ángel (4 matches) versus without him (34 matches). Insufficient evidence — the without-sample is only 34 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (4)
WITHOUT (34)
Δ
goals for /match
2.00
2.03
-0.03
xG for /match
1.12
0.20
+0.92
goals against /match
1.25
0.88
+0.37
points /match
1.75
2.32
-0.57
06
His Share of the Team
Of everything Fulham produced this season, the categories where the biggest share ran through Manuel Ángel specifically — his share of the team total, not a per-90 rate.
category
share
him / team
tackles
1%
4 / 730
progressive passes
0%
12 / 2533
expected assists (xA)
0%
0.1 / 32.9
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Manuel Ángel is a central mid: 1.6 progressive passes, 0.00 key passes /90, 1 box entries, 0 goals from 0.09 xG. A box-to-box contributor across every phase.
Based on 4 matches (111 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a central mid — best used in a system built around that identity.
✨ 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.
