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Player reportLa Liga 2026

Zaid Romero

Getafe
Stopper centre-back CB
19.3 defensive actions/90 · 4.0 progressive/90 — defends first
Capability Analysis
Aerial & Box Defending35%vs 52 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /905.6570%
Ball-Winning79%vs 52 centre-backs
"How actively does he win the ball back?"
Interceptions /901.8496%
Ball recoveries /905.396%
Tackles /901.7566%
Duels won /901.5857%
Breaking Pressure55%vs 39 centre-backs
"Can he retain and progress the ball while his own team is being pressed?"
Retention under pressure80.0%23%
Progressive passes while pressed1782%
Line-breaking passes while pressed146%
Progressive carries while pressed1041%
Threat added while pressed (xT)3.86xT82%
Progression21%vs 52 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.0728%
Line-breaking passes /900.742%
Threat added by passing /900.68xT9%
Pass accuracy72.65%4%
Ball-Carrying8%vs 52 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /902.89%
Carry distance /9063.29m8%
centre-backstopper centre-backbuild-upline-breaking
611
minutes
7 apps
253
passes
81% completed
81%
pass completion
253 passes
27
progressive passes
4.0/90
44
line-breaking passes
6.5/90
131
defensive actions
19.3/90
23
tackles + interceptions
78% tackle win
34
clearances
5.0/90
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 (60% of his 253 passes)
81% completion · 253× in 7/7 matches
↓
CARRY OUT
step into midfield to commit a presser
12 carries · 24× in 6/7 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
4.0 prog/90 · 44× in 7/7 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 16× in 6/7 matches
↓
PROGRESS
entries into the final third
2.5/90 · 17× in 6/7 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
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 →
36
passes / match
19.3
def actions / 90
9–58
pass range (matches)
34
clearances
Pass range = his fewest and most passes in any single match this season (9 at the low end, 58 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.

07

How dangerous are his carries?

Real ball-carries

58 tracked carries (8.5/90, 16 progressive, 539m 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.

2%2%5%3%21%36%28%3%
progressivelateral/short% of his 58 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 32m
By zone — where the carry started → where it ended
5Outside → Inside
27Inside → Inside
17Outside → Outside
9Inside → Outside
First (33)Second (14)Third (10)Fourth (1)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).

9
tackle duels
7
won
2
beaten · 22%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 67%
OUTSIDE 33%
Tackle-duel location — 6 inside · 3 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
3 · 33%
Left Half-Space
3 · 33%
Left Wing
3 · 33%
Vision AI beaten in 2 of 9 tackle duels (22% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

For a centre-back the carry is a build-up weapon — does he step out through the middle, or keep it simple? Every carry classified by channel. Season rate: 1.77 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 58%
OUTSIDE 42%
Dribble location — 7 inside · 5 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
1 · 8%
Left Half-Space
6 · 50%
Left Wing
5 · 42%
Vision AI 58% of his carries are central — he steps out through the middle to draw a presser before releasing.
03

How does he build & move the ball?

How does he escape the first line?

20%
vertical passes
25×
9%
switches
12×
30%
carries
39×
41%
short circulation
52×
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 →RWRHSCLHSLWRW0RHS0C3714%55%251%1916%614%5LHS928%74%440%3721%1927%25LW751%120%1533%2545%34FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the middle third → the left half-space in the middle third — 7 progressive passes (35% of his progression) at 0.022 xT each. He moves it inside.

His progression is inward: 60% of progressive passes move the ball toward the middle versus 10% going wider — he cuts in rather than holding width.

12% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 2 line-breaking passes and 17 final-third entries, 3.5 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
0%0%4%8%8%3%1%0%5%15%25%25%6%0%
completedincomplete253 passes · any zone → any zone · own goal left, attacking →
253
passes
81%
completed
49
lost
Vision AIIn line with his 81% season completion rate.
04

How does he progress play?

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

27
progressive · 4.0/90
17
final-third entries · 2.5/90
0
box entries · 0.00/90
14
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?

1 key passes (0.15/90), 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
08

Where does he become vulnerable?

52 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.

5
attacking third (cheap)
26
middle third
21
own third (dangerous)
Vision AI 10% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.67 danger-index/90 · 0.479 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?

253
passes attempted
51%
mostly forward
44%
mostly short
Direction
Forward
130 · 51%
Sideways
82 · 32%
Backward
41 · 16%
Length (completed)
Short (<15m)
89 · 44%
Medium
89 · 44%
Long (>30m)
26 · 13%
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.

0.300.270.240.240.220.18
own goal left, attacking →
Highest-value routes (xT)
0.30
Left Wing Mid third → Left Wing Mid third
5 passes
0.27
Left Wing Mid third → Left Half-Space Att third
1 passes
0.24
Left Wing Def third → Left Wing Mid third
2 passes
0.24
Left Half-Space Mid third → Left Wing Att third
3 passes
0.22
Left Half-Space Def third → Right Half-Space Att third
1 passes
0.18
Central Mid third → Left Half-Space Att third
1 passes
05

Where Does He Receive?

The zones where Zaid Romero 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
31%
Primary
Left Half-Space, Middle third
23%
Secondary
Left Wing, Middle third
11%
Third
Left Wing, Defensive third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Zaid Romero 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:
1338686516110211983211
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.

0%0%4%8%8%3%1%0%5%15%25%25%6%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.

1Key pass
2Cross
27Progressive
44Long ball
16Switch
By zone — where the pass started → where it landed
40Outside → Inside
87Inside → Inside
35Outside → Outside
42Inside → Outside
By direction
130Forward
41Backward
82Sideways
own goal left, attacking →
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the left wing in the middle third — 5 passes worth 0.30 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he switches it out from the central to the left wing, advancing it forward in the middle 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 left wing in the defensive third: 31% of his 29 touches there are lost (9 times).
—0 touches · too few—1 touch · too few20%5/25 lost19%5/26 lost31%9/29 lost—1 touch · too few—0 touches · too few13%2/15 lost14%11/80 lost18%10/56 lost—0 touches · too few—0 touches · too few—4 touches · too few—4 touches · too few25%3/12 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

131 defensive actions across the season (19.3/90). 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 →
9
tackles · 78% won
14
interceptions · 2.1/90
41
recoveries · 6.0/90
34
clearances · 5.0/90
6
blocks
28
avg action height
5
won high (att 3rd)
35
middle third
91
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 64 proactive ball-wins (9.4/90), tackle success 78%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Zaid Romero 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 ~2-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 2.3, 2m)
57%
4.2
6.2
0.51
Mid press (PPDA 3.8, 2m)
84%
1.9
5.1
0.53
Low press (PPDA 4.5, 3m)
85%
5.3
7.5
0.93
Team

Team context

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

15

Impact on the Team

Getafe's output per match with Zaid Romero (7 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. 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 (7)
WITHOUT (3)
Δ
goals against /match
1.29
2.00
-0.71
points /match
1.00
0.67
+0.33
goals for /match
0.43
0.67
-0.24
xG for /match
0.70
0.00
+0.70
16

His Share of the Team

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

category
share
him / team
interceptions
13%
42 / 319
successful take-ons
13%
25 / 196
clearances
13%
129 / 1021
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 513 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.

Stopper centre-back71%Ball-playing centre-back21%
Why Stopper centre-back 71%: a weighted blend of ball-winning 87 (weight 40%) + defensive aggression 58 (weight 35%) + transition 54 (weight 10%) + retention 22 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
dribbling, ball-winning
Strong
territory (wide vs central)
Average
box threat, defensive aggression, press resistance, passing directness, through-balls, transition, line-breaking
Weak
progression, creativity, carrying, receiving zones, final-third threat, crossing, retention, build-up
Unknown
aerial ability, marking, off-ball running — not in event data
Dribbling
90
Ball-winning
87
Territory (wide vs central)
84
Box threat
60
Defensive aggression
58
Press resistance ~proxy
58
Passing directness
57
Through-balls ~proxy
57
Transition ~proxy
54
Line-breaking
49
Progression
35
Creativity
34
Carrying
33
Receiving zones
32
Final-third threat
31
Crossing
26
Retention
22
Build-up
12
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: 192 cm / 92 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.

Semi Ajayi Hull City · Premier League · 193 cm / 83 kg
72%
Driven by: build-up (18%), dribbling (14%), crossing (12%). Different mechanism — Romero more via through-balls, line-breaking.
Giorgio Cittadini Frosinone · Serie A · 193 cm / 72 kg
69%
Driven by: ball-winning (23%), build-up (20%), dribbling (13%). Different mechanism — Romero more via through-balls, line-breaking; Cittadini more via passing directness, defensive aggression.
Calvin Brackelmann Augsburg · Bundesliga · 196 cm / 86 kg
67%
Driven by: ball-winning (16%), territory (wide vs central) (10%), retention (9%). Different mechanism — Romero more via line-breaking, dribbling; Brackelmann more via build-up, passing directness.
Eddy Kouadio Monza · Serie A · 191 cm / 74 kg
64%
Driven by: ball-winning (24%), dribbling (15%), build-up (13%). Different mechanism — Romero more via passing directness, through-balls; Kouadio more via creativity, build-up.
Hasan Kuruçay Schalke · Bundesliga · 187 cm / 86 kg
60%
Driven by: ball-winning (22%), dribbling (16%), crossing (12%). Different mechanism — Romero more via box threat, territory (wide vs central); Kuruçay more via through-balls, passing directness.
Nicolás Capaldo Hamburg · Bundesliga · 177 cm / 73 kg
59%
Driven by: build-up (31%), ball-winning (23%), retention (13%). Different mechanism — Romero more via dribbling, press resistance; Capaldo more via crossing, box threat.
20

Summary

Zaid Romero is a stopper centre-back: 81% pass completion, 44 line-breaking passes and 4.0 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 7 matches (611 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity. His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper 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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