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Player reportLa Liga 2026

Gabriel Moscardo

Espanyol
Ball-winning 6 (destroyer) DM
17.8 defensive actions/90
defensive midball-winning 6press resistancescreening
202
minutes
5 apps
61
passes
84% completed
84%
pass completion
61 passes
8
progressive passes
3.6/90
40
defensive actions
17.8/90
9
tackles + interceptions
25% tackle win
4
recoveries
1.8/90
6
line-breaking passes
2.7/90
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
drop between the centre-backs — mostly in the middle third (59% of his 61 passes)
84% completion · 61× in 5/5 matches
↓
PROGRESS CENTRAL
break a line through the middle
3.6 prog/90 · 6× in 5/5 matches
↓
SCREEN / WIN BALL
protect the back four
5.8 ball-wins/90 · 13× in 5/5 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
3.1 f3-entries/90 · 7× in 5/5 matches
Signature: Receive → Progress Central → Screen / Win Ball → Recycle / 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: escape pressure — 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.

04

How dangerous are his carries?

Real ball-carries

15 tracked carries (6.7/90, 1 progressive, 121m 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.

13%13%7%13%7%7%13%7%7%7%7%
progressivelateral/short% of his 15 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 20m
By zone — where the carry started → where it ended
2Outside → Inside
12Inside → Inside
1Outside → Outside
First (15)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).

8
tackle duels
2
won
6
beaten · 75%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 88%
OUTSIDE 12%
Tackle-duel location — 7 inside · 1 outside
Right Wing
1 · 12%
Right Half-Space
2 · 25%
Central
0 · 0%
Left Half-Space
5 · 62%
Left Wing
0 · 0%
Vision AI beaten in 6 of 8 tackle duels (75% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 2 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.

03

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
02

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 right half-space in the middle third: 8% of his 13 touches there are lost (1 times).
—2 touches · too few—4 touches · too few0%0/8 lost—2 touches · too few—2 touches · too few—5 touches · too few8%1/13 lost0%0/13 lost—5 touches · too few—0 touches · too few—0 touches · too few—3 touches · too few—2 touches · too few—2 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

05

How & where does he defend?

40 defensive actions across the season (17.8/90). 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 →
8
tackles · 25% won
1
interceptions · 0.4/90
4
recoveries · 1.8/90
6
clearances · 2.7/90
5
blocks
44
avg action height
7
won high (att 3rd)
18
middle third
15
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 (5.8/90), tackle success 25%. 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.

06

Impact on the Team

Espanyol's output per match with Gabriel Moscardo (5 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. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (5)
WITHOUT (5)
Δ
goals against /match
1.20
1.60
-0.40
points /match
0.80
0.80
+0.00
goals for /match
1.00
1.40
-0.40
xG for /match
1.08
1.10
-0.02
07

His Share of the Team

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

category
share
him / team
tackles
1%
8 / 720
shots
1%
3 / 495
clearances
1%
6 / 1169
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

08

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 300 defensive mids in the pool (min 180 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-winning 655%Tempo controller27%Deep-lying playmaker25%
Why Ball-winning 6 55%: a weighted blend of defensive aggression 95 (weight 30%) + ball-winning 40 (weight 40%) + retention 34 (weight 15%) + progression 19 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
defensive aggression
Strong
box threat
Average
dribbling, crossing, press resistance, ball-winning
Weak
retention, build-up, final-third threat, carrying, progression, receiving zones, passing directness, through-balls, territory (wide vs central), transition, line-breaking, creativity
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
95
Box threat
80
Dribbling
55
Crossing
46
Press resistance ~proxy
44
Ball-winning
40
Retention
34
Build-up
32
Final-third threat
27
Carrying
20
Progression
19
Receiving zones
15
Passing directness
14
Through-balls ~proxy
12
Territory (wide vs central)
12
Transition ~proxy
11
Line-breaking
11
Creativity
10
09

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: 185 cm / 76 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.

Mouhamed Diop Troyes · Ligue 1 · 182 cm
83%
Driven by: creativity (15%), transition (11%), line-breaking (10%). Different mechanism — Moscardo more via dribbling, defensive aggression; Diop more via retention, transition.
Tommaso Pobega Bologna · Serie A · 188 cm / 75 kg
79%
Driven by: creativity (19%), transition (18%), progression (9%). Different mechanism — Moscardo more via defensive aggression, crossing; Pobega more via territory (wide vs central), passing directness.
Djibril Coulibaly Nice · Ligue 1 · 190 cm / 76 kg
78%
Driven by: transition (15%), creativity (14%), passing directness (10%). Different mechanism — Moscardo more via box threat, defensive aggression; Coulibaly more via retention, build-up.
Zento Uno Borussia Monchengladbach · Bundesliga · 176 cm / 72 kg
78%
Driven by: transition (16%), creativity (11%), carrying (8%). Different mechanism — Moscardo more via dribbling, crossing; Uno more via passing directness.
Lucas Tousart Brest · Ligue 1 · 185 cm / 83 kg
76%
Driven by: creativity (18%), receiving zones (12%), transition (11%). Different mechanism — Moscardo more via defensive aggression; Tousart more via passing directness, through-balls.
Dani Requena Levante · 186 cm / 76 kg
76%
Driven by: defensive aggression (20%), progression (10%), line-breaking (9%). Different mechanism — Moscardo more via crossing, dribbling; Requena more via territory (wide vs central), receiving zones.
10

Summary

Gabriel Moscardo is a ball-winning 6: 84% completion, 6 line-breaks and 3.6 progressive passes /90, resisting pressure with 50% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 5 matches (202 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 — 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 ball-winning 6 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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