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Player reportLa Liga 2025/26

Alejandro Rego

Athletic Club
Ball-winning 6 (destroyer) DM
13.4 defensive actions/90
defensive midball-winning 6press resistancescreening
1405
minutes
29 apps
546
passes
82% completed
82%
pass completion
546 passes
31
progressive passes
2.0/90
209
defensive actions
13.4/90
67
tackles + interceptions
48% tackle win
72
recoveries
4.6/90
41
line-breaking passes
2.6/90
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 (64% of his 546 passes)
82% completion · 546× in 29/29 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
45% won · 20× in 12/29 matches
↓
PROGRESS CENTRAL
break a line through the middle
2.0 prog/90 · 41× in 21/29 matches
↓
SCREEN / WIN BALL
protect the back four
8.9 ball-wins/90 · 139× in 29/29 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
2.8 f3-entries/90 · 44× in 21/29 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
18

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 →
19
passes / match
13.4
def actions / 90
3–53
pass range (matches)
17
clearances
Pass range = his fewest and most passes in any single match this season (3 at the low end, 53 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.

10

How dangerous are his carries?

Real ball-carries

89 tracked carries (5.7/90, 14 progressive, 757m 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%4%8%11%4%1%9%21%15%2%2%4%9%6%
progressivelateral/short% of his 89 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 28m
By zone — where the carry started → where it ended
11Outside → Inside
69Inside → Inside
5Outside → Outside
4Inside → Outside
First (34)Second (22)Third (20)Fourth (13)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).

42
tackle duels
20
won
22
beaten · 52%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 76%
OUTSIDE 24%
Tackle-duel location — 32 inside · 10 outside
Right Wing
8 · 19%
Right Half-Space
15 · 36%
Central
8 · 19%
Left Half-Space
9 · 21%
Left Wing
2 · 5%
Vision AI beaten in 22 of 42 tackle duels (52% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

Can he escape pressure on the ball? His carries/dribbles in tight central areas, by channel. Season rate: 1.28 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 90%
OUTSIDE 10%
Dribble location — 18 inside · 2 outside
Right Wing
2 · 10%
Right Half-Space
4 · 20%
Central
9 · 45%
Left Half-Space
5 · 25%
Left Wing
0 · 0%
Vision AI 90% of his carries are central — he receives and turns in congested midfield zones rather than out wide.
03

How does he build & move the ball?

How does he escape the first line?

11%
vertical passes
22×
7%
switches
13×
24%
carries
46×
58%
short circulation
111×
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 →RWRHSCLHSLWRW4353%2330%1316%7RHS9627%2628%2731%307%76%6C16315%2421%3432%5223%389%15LHS1053%39%932%3428%2929%30LW402%130%1268%27FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right half-space in the middle third → the right half-space in the final third — 3 progressive passes (10% of his progression) at 0.190 xT each. He keeps it in the same lane.

His progression is inward: 53% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

10% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 12 line-breaking passes and 44 final-third entries, 2.8 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
4%5%12%6%1%1%8%14%16%6%0%0%4%6%10%6%1%
completedincomplete546 passes · any zone → any zone · own goal left, attacking →
546
passes
82%
completed
99
lost
Vision AIIn line with his 82% season completion rate.
05

How does he progress play?

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

31
progressive · 2.0/90
44
final-third entries · 2.8/90
8
box entries · 0.51/90
10
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?

10 key passes (0.64/90), 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:
10%30%10%20%10%20%
chance creation (10)assist (0)% of the selected group's key passes originating in each zone
13

Can he finish?

12 shots · 0.90 xG · 1 goals (+0.10 vs xG). Mostly right-footed. Circle size = xG.

shots  12
on target  9
goals  1
xG  0.90
xG on target  0.71
xG / shot  0.075
Where he shoots from — click an area of the box
04

Where does he become vulnerable?

110 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.

25
attacking third (cheap)
64
middle third
21
own third (dangerous)
Vision AI 23% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.42 danger-index/90 · 0.344 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

What is his passing profile?

546
passes attempted
44%
mostly forward
52%
mostly short
Direction
Forward
241 · 44%
Sideways
195 · 36%
Backward
110 · 20%
Length (completed)
Short (<15m)
233 · 52%
Medium
182 · 41%
Long (>30m)
32 · 7%
07

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.

0.720.300.210.150.150.15
own goal left, attacking →
Highest-value routes (xT)
0.72
Right Half-Space Mid third → Right Half-Space Att third
2 passes
0.30
Right Wing Mid third → Right Wing Att third
2 passes
0.21
Left Half-Space Def third → Left Half-Space Mid third
2 passes
0.15
Right Wing Mid third → Central Mid third
1 passes
0.15
Left Half-Space Mid third → Left Half-Space Mid third
2 passes
0.15
Right Half-Space Mid third → Right Wing Att third
2 passes
08

Where Does He Receive?

The zones where Alejandro Rego 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
23%
Primary
Central, Middle third
15%
Secondary
Right Half-Space, Middle third
14%
Third
Left Half-Space, Middle third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Alejandro Rego 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:
12234563245477990415213068376
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.

4%5%12%6%1%1%8%14%16%6%0%0%4%6%10%6%1%
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.

10Key pass
2Cross
31Progressive
41Long ball
26Switch
By zone — where the pass started → where it landed
33Outside → Inside
260Inside → Inside
50Outside → Outside
104Inside → Outside
By direction
241Forward
110Backward
195Sideways
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 right hs, advancing it forward in the middle third — 2 passes worth 0.72 xT.
Where do his chances come from?
Of 10 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central in the final third — 2 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: 33% of his 9 touches there are lost (3 times).
33%3/9 lost33%5/15 lost16%6/38 lost18%4/22 lost—6 touches · too few18%6/33 lost21%17/82 lost13%16/125 lost16%12/77 lost19%6/31 lost29%4/14 lost30%9/30 lost15%4/26 lost19%5/27 lost0%0/11 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

14

How & where does he defend?

209 defensive actions across the season (13.4/90). 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 →
42
tackles · 48% won
25
interceptions · 1.6/90
72
recoveries · 4.6/90
17
clearances · 1.1/90
16
blocks
43
avg action height
35
won high (att 3rd)
101
middle third
73
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 139 proactive ball-wins (8.9/90), tackle success 48%. He defends high, stepping out to intercept — suits a high line.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Alejandro Rego 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 ~9-11 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.7, 9m)
81%
1.9
1.9
0.48
Mid press (PPDA 6.2, 9m)
81%
2.5
3.7
0.84
Low press (PPDA 8.3, 11m)
84%
1.6
2.4
0.69
Team

Team context

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

16

Impact on the Team

Athletic Club's output per match with Alejandro Rego (29 matches) versus without him (9 matches). 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 (29)
WITHOUT (9)
Δ
goals against /match
1.52
1.56
-0.04
points /match
1.31
0.78
+0.53
goals for /match
1.24
0.78
+0.46
xG for /match
1.30
1.07
+0.23
17

His Share of the Team

Of everything Athletic Club produced this season, the categories where the biggest share ran through Alejandro Rego specifically — his share of the team total, not a per-90 rate.

category
share
him / team
tackles
6%
44 / 697
zone-14 entries
6%
19 / 318
interceptions
6%
25 / 424
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 258 defensive mids 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-winning 661%Tempo controller18%Deep-lying playmaker17%
Why Ball-winning 6 61%: a weighted blend of ball-winning 71 (weight 40%) + defensive aggression 69 (weight 30%) + retention 26 (weight 15%) + progression 19 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
ball-winning
Average
defensive aggression, receiving zones, box threat, dribbling, crossing, passing directness, creativity, press resistance
Weak
territory (wide vs central), through-balls, final-third threat, transition, line-breaking, retention, progression, carrying, build-up
Unknown
aerial ability, marking, off-ball running — not in event data
Ball-winning
71
Defensive aggression
69
Receiving zones
66
Box threat
61
Dribbling
58
Crossing
56
Passing directness
54
Creativity
48
Press resistance ~proxy
41
Territory (wide vs central)
39
Through-balls ~proxy
37
Final-third threat
36
Transition ~proxy
32
Line-breaking
30
Retention
26
Progression
19
Carrying
19
Build-up
14
20

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 / 79 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.

Tim Iroegbunam Hull City · Premier League · 183 cm / 70 kg
82%
Driven by: build-up (27%), progression (15%), defensive aggression (9%). Different mechanism — Rego more via final-third threat, box threat.
Oumar Ngom Lecce · Serie A · 184 cm / 75 kg
68%
Driven by: build-up (18%), progression (16%), ball-winning (14%). Different mechanism — Rego more via receiving zones, box threat.
Ezechiel Banzuzi RBL · Bundesliga · 191 cm / 80 kg
64%
Driven by: build-up (19%), progression (19%), line-breaking (11%). Different mechanism — Rego more via passing directness, dribbling; Banzuzi more via retention, box threat.
Mads Bidstrup Lyon · Ligue 1 · 174 cm / 75 kg
63%
Driven by: build-up (21%), transition (13%), progression (12%). Different mechanism — Rego more via passing directness, dribbling; Bidstrup more via territory (wide vs central).
Lucas Torró Osasuna · 190 cm / 77 kg
60%
Driven by: carrying (18%), progression (17%), build-up (16%). Different mechanism — Rego more via ball-winning, receiving zones; Torró more via passing directness, build-up.
Jean-Daniel Akpa Akpro Hellas Verona · Serie A 25/26 · 180 cm / 70 kg
60%
Driven by: build-up (31%), defensive aggression (13%), progression (12%). Different mechanism — Rego more via receiving zones, final-third threat; Akpro more via territory (wide vs central), dribbling.
21

Summary

Alejandro Rego is a ball-winning 6: 82% completion, 41 line-breaks and 2.0 progressive passes /90, resisting pressure with 45% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 29 matches (1405 minutes) — a reasonable read, still building toward a full-season sample. 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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