Thin sample this season. Maroan Sannadi has played 6 matches (281 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: Link → Finish — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 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.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
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
04
Where does he become vulnerable?
15 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
8
attacking third (cheap)
7
middle third
0
own third (dangerous)
Vision AI 53% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.02 danger-index/90 · 0.213 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 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 half-space in the middle third: 38% of his 8 touches there are lost (3 times).
26 defensive actions across the season (8.3/90). 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 →
0
tackles · 0% won
0
interceptions · 0.0/90
6
recoveries · 1.9/90
2
clearances · 0.6/90
0
blocks
54
avg action height
6
won high (att 3rd)
16
middle third
4
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 6 proactive ball-wins (1.9/90), tackle success 0%. 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.
17
attacking-half actions · 5.44/90
05
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Maroan Sannadi 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 5.7, 2m)
0.01
0.0
0.00
100%
Mid press (PPDA 7.9, 2m)
0.06
0.0
0.00
100%
Low press (PPDA 9.9, 2m)
0.04
0.0
0.00
0%
Team
Team context
How much of the team runs through him, and what changes without him.
Athletic Club's output per match with Maroan Sannadi (6 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 (6)
WITHOUT (3)
Δ
goals for /match
1.17
1.67
-0.50
xG for /match
1.61
1.35
+0.26
goals against /match
1.17
0.67
+0.50
points /match
1.00
2.00
-1.00
08
His Share of the Team
Of everything Athletic Club produced this season, the categories where the biggest share ran through Maroan Sannadi specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected goals (xG)
3%
1.7 / 61.8
shots
2%
13 / 617
zone-14 entries
1%
3 / 320
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
Territory (wide vs central)
72
Press resistance ~proxy
48
Dribbling
46
Build-up
43
Retention
41
Defensive aggression
28
Carrying
26
Transition ~proxy
24
Ball-winning
21
Receiving zones
18
Box threat
18
Creativity
17
Passing directness
15
Final-third threat
11
Crossing
10
Through-balls ~proxy
10
Progression
8
Line-breaking
4
10
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: 192 cm / 78 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 La Liga, Bundesliga, Ligue 1, 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.
Tammy Abraham Aston Villa · Premier League · 194 cm / 80 kg
82%
Driven by: crossing (15%), progression (13%), line-breaking (11%). Different mechanism — Sannadi more via territory (wide vs central), carrying; Abraham more via box threat, passing directness.
Henrik Meister Pisa · Serie A 25/26 · 192 cm / 83 kg
82%
Driven by: creativity (15%), crossing (13%), receiving zones (11%). Different mechanism — Sannadi more via retention, build-up; Meister more via carrying, line-breaking.
Haris Tabakovic Borussia Monchengladbach · Bundesliga 25/26 · 196 cm / 90 kg
79%
Driven by: progression (12%), final-third threat (12%), transition (9%). Different mechanism — Sannadi more via territory (wide vs central), carrying; Tabakovic more via box threat, build-up.
Gennaro Borrelli Cagliari · Serie A · 194 cm
79%
Driven by: crossing (18%), final-third threat (14%), line-breaking (10%). Different mechanism — Borrelli more via ball-winning, passing directness.
Roberto Piccoli Bologna · Serie A · 190 cm / 78 kg
78%
Driven by: progression (13%), final-third threat (12%), line-breaking (12%). Different mechanism — Sannadi more via territory (wide vs central); Piccoli more via defensive aggression, ball-winning.
Nikola Stulic Lecce · Serie A · 188 cm / 80 kg
77%
Driven by: progression (13%), line-breaking (12%), final-third threat (10%). Different mechanism — Sannadi more via territory (wide vs central), dribbling; Stulic more via defensive aggression, crossing.
11
Summary
Maroan Sannadi is a false 9: 0 goals from 0.58 xG (-0.58 vs expected), 5 shots, 0 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 6 matches (281 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.
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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.