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Player reportSerie A 2026

Alessandro Marcandalli

Genoa
Stopper centre-back CB
11.0 defensive actions/90 · 2.6 progressive/90 — defends first
Capability Analysis
Aerial & Box Defending12%vs 45 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /903.4924%
Ball-Winning20%vs 45 centre-backs
"How actively does he win the ball back?"
Interceptions /900.647%
Ball recoveries /902.5716%
Tackles /901.1520%
Duels won /901.7238%
Breaking Pressure
only 58 pressured-passing actions across 3 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression32%vs 45 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.1653%
Line-breaking passes /900.4629%
Threat added by passing /900.78xT31%
Pass accuracy81.2%16%
Ball-Carrying52%vs 45 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /904.1853%
Carry distance /90108.07m51%
centre-backball-playing centre-backbuild-upline-breaking
612
minutes
8 apps
266
passes
79% completed
79%
pass completion
266 passes
18
progressive passes
2.6/90
29
line-breaking passes
4.3/90
75
defensive actions
11.0/90
14
tackles + interceptions
30% tackle win
23
clearances
3.4/90
Overview

The player

Who he is and how he compares with his peers.

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
in the first line of build-up — mostly in the middle third (61% of his 266 passes)
79% completion · 266× in 8/8 matches
↓
CARRY OUT
step into midfield to commit a presser
3 carries · 6× in 3/8 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
2.6 prog/90 · 29× in 7/8 matches
↓
PROGRESS
entries into the final third
2.8/90 · 19× in 6/8 matches
Signature: Receive → Carry Out → Break A Line → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: switch play — 3× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
17

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
33
passes / match
11.0
def actions / 90
4–56
pass range (matches)
23
clearances
Pass range = his fewest and most passes in any single match this season (4 at the low end, 56 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

08

How dangerous are his carries?

Real ball-carries

62 tracked carries (9.1/90, 17 progressive, 592m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

6%18%40%23%2%8%3%
progressivelateral/short% of his 62 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 27m
By zone — where the carry started → where it ended
9Outside → Inside
29Inside → Inside
15Outside → Outside
9Inside → Outside
First (20)Second (18)Third (14)Fourth (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

10
tackle duels
3
won
7
beaten · 70%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 50%
OUTSIDE 50%
Tackle-duel location — 5 inside · 5 outside
Right Wing
5 · 50%
Right Half-Space
3 · 30%
Central
1 · 10%
Left Half-Space
1 · 10%
Left Wing
0 · 0%
Vision AI beaten in 7 of 10 tackle duels (70% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 3 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

02

How does he build & move the ball?

How does he escape the first line?

11%
vertical passes
14×
2%
switches
3×
35%
carries
46×
53%
short circulation
70×
Answer: he escapes the press primarily through carrying — stepping out with the ball.

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW10346%4733%3420%211%1RHS8538%3212%1051%43C205%110%255%1130%6LHS250%150%1LW0FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the middle third → the right half-space in the middle third — 4 progressive passes (19% of his progression) at 0.020 xT each. He moves it inside.

His progression is inward: 48% of progressive passes move the ball toward the middle versus 10% going wider — he cuts in rather than holding width.

Only 4% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 2 line-breaking passes and 19 final-third entries, 2.0 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
6%21%27%25%5%2%0%5%3%3%0%1%0%
completedincomplete266 passes · any zone → any zone · own goal left, attacking →
266
passes
79%
completed
56
lost
Vision AIIn line with his 79% season completion rate.
04

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

18
progressive · 2.6/90
19
final-third entries · 2.8/90
0
box entries · 0.00/90
13
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
12

How does he create chances?

4 key passes (0.59/90), 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:
25%25%25%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
05

Where does he become vulnerable?

57 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

8
attacking third (cheap)
23
middle third
26
own third (dangerous)
Vision AI 14% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.09 danger-index/90 · 0.488 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
09

What is his passing profile?

266
passes attempted
45%
mostly forward
50%
mostly medium
Direction
Forward
120 · 45%
Sideways
66 · 25%
Backward
80 · 30%
Length (completed)
Short (<15m)
93 · 44%
Medium
106 · 50%
Long (>30m)
11 · 5%
10

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.410.390.290.240.230.22
own goal left, attacking →
Highest-value routes (xT)
0.41
Right Wing Att third → Right Wing Att third
2 passes
0.39
Right Wing Mid third → Right Wing Att third
2 passes
0.29
Right Wing Mid third → Right Half-Space Mid third
3 passes
0.24
Right Half-Space Mid third → Right Wing Mid third
4 passes
0.23
Right Wing Mid third → Right Half-Space Att third
1 passes
0.22
Right Wing Def third → Right Half-Space Mid third
2 passes
06

Where Does He Receive?

The zones where Alessandro Marcandalli gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
32%
Primary
Right Wing, Middle third
25%
Secondary
Right Half-Space, Middle third
15%
Third
Right Wing, Defensive third
These are the zones where he collected the ball most.
07

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Alessandro Marcandalli actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
1113981317567369145
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

6%21%27%25%5%2%0%5%3%3%0%1%0%
own goal left, attacking →
11

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

4Key pass
1Cross
2Cutback
18Progressive
29Long ball
3Switch
By zone — where the pass started → where it landed
56Outside → Inside
73Inside → Inside
47Outside → Outside
34Inside → Outside
By direction
120Forward
80Backward
66Sideways
own goal left, attacking →
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right wing in the final third — 2 passes worth 0.41 xT.
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he plays straight through the right wing 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 defensive third: 49% of his 41 touches there are lost (20 times).
49%20/41 lost13%4/31 lost18%2/11 lost—0 touches · too few—0 touches · too few13%11/84 lost14%9/65 lost17%2/12 lost—1 touch · too few—0 touches · too few44%7/16 lost—2 touches · too few—2 touches · too few—1 touch · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

75 defensive actions across the season (11.0/90). 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 →
10
tackles · 30% won
4
interceptions · 0.6/90
15
recoveries · 2.2/90
23
clearances · 3.4/90
2
blocks
33
avg action height
8
won high (att 3rd)
26
middle third
41
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 29 proactive ball-wins (4.3/90), tackle success 30%. He defends mostly around the middle third.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Alessandro Marcandalli still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~2-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.1, 2m)
61%
1.4
4.3
0.48
Mid press (PPDA 4.5, 2m)
79%
3.3
4.7
0.73
Low press (PPDA 6.3, 4m)
84%
2.7
3.9
0.66
Team

Team context

How much of the team runs through him, and what changes without him.

15

Impact on the Team

Insufficient sample: Alessandro Marcandalli played nearly every Genoa match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

16

His Share of the Team

Of everything Genoa produced this season, the categories where the biggest share ran through Alessandro Marcandalli specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
11%
130 / 1177
threat added by passing (xT)
8%
28.9 / 380.7
final-third entries
7%
102 / 1394
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 515 centre-backs 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.

Ball-playing centre-back28%Stopper centre-back24%
Why Ball-playing centre-back 28%: a weighted blend of progression 46 (weight 25%) + build-up 28 (weight 30%) + retention 28 (weight 30%) + press resistance 44 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central)
Strong
crossing
Average
dribbling, carrying, through-balls, defensive aggression, progression, creativity, final-third threat, press resistance
Weak
transition, line-breaking, receiving zones, build-up, retention, passing directness, box threat, ball-winning
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
90
Crossing
73
Dribbling
56
Carrying
55
Through-balls ~proxy
52
Defensive aggression
48
Progression
46
Creativity
46
Final-third threat
44
Press resistance ~proxy
44
Transition ~proxy
33
Line-breaking
32
Receiving zones
28
Build-up
28
Retention
28
Passing directness
22
Box threat
21
Ball-winning
20
19

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: 195 cm / 80 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Lorenzo De Silvestri Bologna · 186 cm / 84 kg
83%
Driven by: build-up (15%), territory (wide vs central) (14%), passing directness (12%). Different mechanism — Marcandalli more via defensive aggression, passing directness; Silvestri more via through-balls.
Corrie Ndaba Lecce · 188 cm / 82 kg
72%
Driven by: ball-winning (17%), build-up (15%), territory (wide vs central) (14%). Different mechanism — Marcandalli more via carrying; Ndaba more via dribbling, press resistance.
Kilian Fischer Wolfsburg · Bundesliga 25/26 · 182 cm / 77 kg
72%
Driven by: territory (wide vs central) (16%), build-up (12%), retention (12%). Different mechanism — Marcandalli more via dribbling, creativity; Fischer more via ball-winning.
Victor Parada Alaves · La Liga 25/26 · 185 cm / 76 kg
71%
Driven by: build-up (20%), ball-winning (18%), territory (wide vs central) (16%). Different mechanism — Marcandalli more via carrying; Parada more via box threat.
Ricardo Rodríguez Torino · 182 cm / 83 kg
66%
Driven by: territory (wide vs central) (17%), ball-winning (15%), build-up (14%). Different mechanism — Marcandalli more via defensive aggression, carrying; Rodríguez more via line-breaking, receiving zones.
Bamo Meïté Lorient · Ligue 1 · 183 cm / 75 kg
65%
Driven by: ball-winning (20%), build-up (19%), territory (wide vs central) (17%). Different mechanism — Marcandalli more via carrying; Meïté more via line-breaking, receiving zones.
20

Summary

Alessandro Marcandalli is a ball-playing centre-back: 79% pass completion, 29 line-breaking passes and 2.6 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 8 matches (612 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back — best used in a system built around that identity. His biggest room for growth is build-up — even a modest improvement there would meaningfully lift his overall ball-playing centre-back 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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