Thin sample this season. Saud Abdulhamid has played 3 matches (169 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 Wing, Middle third — mostly in the middle third (42% of his 78 passes)
87% completion · 78× in 3/3 matches
↓
PROGRESS
drive or pass into the final third
3.2 prog/90 · 6× in 2/3 matches
↓
ARRIVE
get into the box late
1 key passes · 3× in 2/3 matches
Signature: Receive → Progress → Arrive — 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: 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.
1 key passes (0.53/90), 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 (1)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 1 key passes, his busiest route is a delivery where he plays inside from the right wing toward 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 final third: 20% of his 20 touches there are lost (4 times).
25 defensive actions across the season (13.3/90). 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 →
2
tackles · 100% won
3
interceptions · 1.6/90
8
recoveries · 4.3/90
2
clearances · 1.1/90
2
blocks
40
avg action height
6
won high (att 3rd)
8
middle third
11
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 13 proactive ball-wins (6.9/90), tackle success 100%. He defends high, stepping out to intercept — suits a high line.
Team
Team context
How much of the team runs through him, and what changes without him.
Lens's output per match with Saud Abdulhamid (3 matches) versus without him (5 matches). Insufficient evidence — the without-sample is only 5 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (3)
WITHOUT (5)
Δ
goals for /match
3.33
1.20
+2.13
xG for /match
1.83
0.29
+1.54
goals against /match
1.33
1.60
-0.27
points /match
3.00
0.80
+2.20
06
His Share of the Team
Of everything Lens produced this season, the categories where the biggest share ran through Saud Abdulhamid specifically — his share of the team total, not a per-90 rate.
category
share
him / team
half-space entries
10%
77 / 757
box entries
10%
50 / 497
goals
9%
1 / 11
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.
aerial ability, marking, off-ball running — not in event data
Line-breaking
95
Through-balls ~proxy
95
Territory (wide vs central)
95
Crossing
93
Receiving zones
80
Creativity
76
Progression
76
Final-third threat
72
Retention
62
Ball-winning
56
Build-up
52
Passing directness
45
Defensive aggression
41
Transition ~proxy
40
Press resistance ~proxy
36
Box threat
31
Carrying
18
Dribbling
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: 172 cm / 74 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 Ligue 1, Bundesliga, La Liga, Premier League 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.
Angeliño Deportivo · La Liga · 171 cm / 69 kg
76%
Driven by: crossing (15%), dribbling (14%), territory (wide vs central) (13%). Different mechanism — Abdulhamid more via retention, receiving zones.
Ruben Aguilar Lens · 172 cm / 70 kg
75%
Driven by: crossing (21%), territory (wide vs central) (14%), line-breaking (12%). Different mechanism — Abdulhamid more via receiving zones, creativity; Aguilar more via carrying, transition.
Zeki Çelik Juventus · Serie A · 180 cm / 78 kg
72%
Driven by: crossing (23%), dribbling (19%), territory (wide vs central) (14%). Different mechanism — Abdulhamid more via creativity, line-breaking; Çelik more via carrying.
Wesley Roma · Serie A · 175 cm / 73 kg
68%
Driven by: crossing (23%), territory (wide vs central) (16%), through-balls (12%). Different mechanism — Abdulhamid more via retention, passing directness; Wesley more via carrying, transition.
Devyne Rensch Roma · Serie A · 181 cm / 75 kg
64%
Driven by: crossing (19%), territory (wide vs central) (17%), carrying (16%). Different mechanism — Abdulhamid more via receiving zones, passing directness; Rensch more via dribbling.
Cristiano Biraghi Torino · Serie A · 185 cm / 78 kg
63%
Driven by: crossing (13%), territory (wide vs central) (12%), dribbling (12%). Different mechanism — Abdulhamid more via retention, receiving zones; Biraghi more via passing directness.
09
Summary
Saud Abdulhamid is an advanced playmaker (8) / deep-lying playmaker: 3.2 progressive passes, 0.53 key passes /90, 3 box entries, 1 goals from 0.14 xG. A box-to-box contributor across every phase.
Based on 3 matches (169 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) / deep-lying playmaker — best used in a system built around that identity.
His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall advanced playmaker (8) 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
