العربيةSeason2025/262026 · this seasonAll seasons
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Player reportLa Liga 2026

Abdel Abqar

Getafe
Stopper centre-back CB
10.6 defensive actions/90 · 0.8 progressive/90 — defends first
centre-backstopper centre-backbuild-upline-breaking
221
minutes
4 apps
44
passes
66% completed
66%
pass completion
44 passes
2
progressive passes
0.8/90
14
line-breaking passes
5.7/90
26
defensive actions
10.6/90
3
tackles + interceptions
50% tackle win
14
clearances
5.7/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Abdel Abqar has played 4 matches (221 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
in the first line of build-up — mostly in the middle third (73% of his 44 passes)
66% completion · 44× in 4/4 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
0.8 prog/90 · 14× in 3/4 matches
Signature: Receive → Break A Line — the only steps proven repeatable this season (2 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 0× (insufficient confidence, hidden — not enough evidence yet); switch play — 3× (low confidence, shown as a number only, no tactical conclusion drawn); progress — 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

19 tracked carries (7.7/90, 1 progressive, 136m 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.

5%21%5%26%37%5%
progressivelateral/short% of his 19 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 15m
By zone — where the carry started → where it ended
1Outside → Inside
15Inside → Inside
2Outside → Outside
1Inside → Outside
First (19)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).

2
tackle duels
1
won
1
beaten · 50%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 100%
OUTSIDE 0%
Tackle-duel location — 2 inside · 0 outside
Right Wing
0 · 0%
Right Half-Space
1 · 50%
Central
1 · 50%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 1 of 2 tackle duels (50% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 0 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.

05

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
03

Where does he become vulnerable?

15 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.

1
attacking third (cheap)
13
middle third
1
own third (dangerous)
Vision AI 7% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.41 danger-index/90 · 0.395 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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: 38% of his 8 touches there are lost (3 times).
—0 touches · too few—7 touches · too few—4 touches · too few—0 touches · too few—0 touches · too few—4 touches · too few38%3/8 lost33%6/18 lost—2 touches · too few—0 touches · too few—1 touch · too few—0 touches · too few—0 touches · too few—0 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

06

How & where does he defend?

26 defensive actions across the season (10.6/90). 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 · 50% won
1
interceptions · 0.4/90
3
recoveries · 1.2/90
14
clearances · 5.7/90
0
blocks
23
avg action height
0
won high (att 3rd)
5
middle third
21
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 6 proactive ball-wins (2.4/90), tackle success 50%. He defends deep, protecting his box — a last-line stopper.
Team

Team context

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

07

Impact on the Team

Getafe's output per match with Abdel Abqar (4 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 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 (4)
WITHOUT (6)
Δ
goals against /match
1.75
1.33
+0.42
points /match
1.00
0.83
+0.17
goals for /match
0.50
0.50
+0.00
xG for /match
0.59
0.06
+0.52
08

His Share of the Team

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

category
share
him / team
clearances
9%
98 / 1050
tackles
7%
40 / 536
interceptions
7%
23 / 328
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

09

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-back44%Ball-playing centre-back14%
Why Stopper centre-back 44%: a weighted blend of ball-winning 60 (weight 40%) + defensive aggression 50 (weight 35%) + transition 26 (weight 10%) + retention 9 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
passing directness, ball-winning, territory (wide vs central), defensive aggression
Weak
line-breaking, through-balls, creativity, build-up, crossing, dribbling, transition, box threat, press resistance, progression, receiving zones, final-third threat, carrying, retention
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
64
Ball-winning
60
Territory (wide vs central)
54
Defensive aggression
50
Line-breaking
40
Through-balls ~proxy
34
Creativity
34
Build-up
30
Crossing
28
Dribbling
26
Transition ~proxy
26
Box threat
22
Press resistance ~proxy
21
Progression
17
Receiving zones
14
Final-third threat
13
Carrying
12
Retention
9
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: 188 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 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.

John Egan Hull City · Premier League · 185 cm / 75 kg
88%
Driven by: press resistance (14%), carrying (12%), progression (11%). Different mechanism — Abqar more via territory (wide vs central), line-breaking; Egan more via passing directness.
Zeno Van den Bosch Union Berlin · Bundesliga · 191 cm / 78 kg
87%
Driven by: carrying (12%), transition (12%), receiving zones (11%). Different mechanism — Abqar more via line-breaking, passing directness.
Ethan Pinnock Coventry · Premier League · 194 cm / 79 kg
87%
Driven by: carrying (15%), progression (13%), transition (12%). Different mechanism — Abqar more via ball-winning, line-breaking; Pinnock more via territory (wide vs central).
Domingos Duarte Getafe 25/26 · 192 cm / 80 kg
85%
Driven by: press resistance (16%), carrying (13%), retention (13%). Different mechanism — Abqar more via territory (wide vs central), ball-winning; Duarte more via passing directness.
Arthur Chaves Augsburg · Bundesliga 25/26 · 188 cm / 80 kg
85%
Driven by: carrying (18%), final-third threat (14%), progression (14%). Different mechanism — Chaves more via box threat, retention.
Joe Worrall Burnley · Premier League 25/26 · 193 cm / 64 kg
82%
Driven by: press resistance (13%), carrying (12%), final-third threat (11%). Different mechanism — Abqar more via ball-winning, territory (wide vs central).
11

Summary

Abdel Abqar is a stopper centre-back: 66% pass completion, 14 line-breaking passes and 0.8 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 4 matches (221 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

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