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Player reportLa Liga 2026

Aitor Paredes

Athletic Club
Ball-playing centre-back CB
11.0 progressive passes/90 · 1.8 line-breaking/90
Capability Analysis
Aerial & Box Defending15%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 /904.1930%
Ball-Winning55%vs 52 centre-backs
"How actively does he win the ball back?"
Interceptions /901.2877%
Ball recoveries /903.6357%
Tackles /901.1625%
Duels won /901.7262%
Breaking Pressure
no action recorded in any high-press match yet
Progression60%vs 52 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.5145%
Line-breaking passes /900.9664%
Threat added by passing /901.22xT74%
Pass accuracy88.99%58%
Ball-Carrying78%vs 52 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /907.0281%
Carry distance /90149.31m75%
centre-backball-playing centre-backbuild-upline-breaking
514
minutes
7 apps
419
passes
92% completed
92%
pass completion
419 passes
63
progressive passes
11.0/90
49
line-breaking passes
8.6/90
87
defensive actions
15.2/90
12
tackles + interceptions
38% tackle win
29
clearances
5.1/90
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 (64% of his 419 passes)
92% completion · 419× in 7/7 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
11.0 prog/90 · 49× in 7/7 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 17× in 7/7 matches
↓
PROGRESS
entries into the final third
7.4/90 · 42× in 6/7 matches
Signature: Receive → Break A Line → Switch Play → 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: carry out — 0× (insufficient confidence, hidden — not enough evidence yet) — 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 →
60
passes / match
15.2
def actions / 90
12–89
pass range (matches)
29
clearances
Pass range = his fewest and most passes in any single match this season (12 at the low end, 89 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

100 tracked carries (17.5/90, 19 progressive, 838m 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.

1%10%13%6%2%16%20%7%12%10%3%
progressivelateral/short% of his 100 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 43m
By zone — where the carry started → where it ended
7Outside → Inside
84Inside → Inside
4Outside → Outside
5Inside → Outside
First (31)Second (28)Third (22)Fourth (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).

8
tackle duels
3
won
5
beaten · 62%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 75%
OUTSIDE 25%
Tackle-duel location — 6 inside · 2 outside
Right Wing
2 · 25%
Right Half-Space
3 · 38%
Central
3 · 38%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 5 of 8 tackle duels (62% loss rate) — a real defensive leak worth flagging.
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.

02

How does he build & move the ball?

How does he escape the first line?

18%
vertical passes
51×
5%
switches
14×
30%
carries
84×
48%
short circulation
135×
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 →RWRHSCLHSLWRW4340%1723%1037%16RHS12837%4711%1441%529%122%3C13420%2719%2519%2625%3416%22LHS652%111%737%2418%1232%21LW1718%347%835%6FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left half-space in the middle third → central areas in the middle third — 3 progressive passes (10% of his progression) at 0.050 xT each. He moves it inside.

His progression is inward: 47% of progressive passes move the ball toward the middle versus 27% 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: 10 line-breaking passes and 42 final-third entries, 8.0 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
3%8%16%11%1%0%13%21%9%0%0%1%7%5%3%1%0%
completedincomplete419 passes · any zone → any zone · own goal left, attacking →
419
passes
92%
completed
32
lost
Vision AIIn line with his 92% season completion rate.
03

How does he progress play?

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

63
progressive · 11.0/90
42
final-third entries · 7.4/90
1
box entries · 0.18/90
27
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?

3 key passes (0.53/90), 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:
33%33%33%
chance creation (3)assist (0)% of the selected group's key passes originating in each zone
10

Where does he become vulnerable?

32 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.

4
attacking third (cheap)
16
middle third
12
own third (dangerous)
Vision AI 12% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.75 danger-index/90 · 0.491 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

419
passes attempted
53%
mostly forward
62%
mostly medium
Direction
Forward
221 · 53%
Sideways
133 · 32%
Backward
65 · 16%
Length (completed)
Short (<15m)
109 · 28%
Medium
241 · 62%
Long (>30m)
37 · 10%
09

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.

0.750.710.370.310.290.28
own goal left, attacking →
Highest-value routes (xT)
0.75
Right Half-Space Mid third → Right Wing Mid third
12 passes
0.71
Right Half-Space Mid third → Right Wing Att third
7 passes
0.37
Right Wing Mid third → Right Half-Space Att third
1 passes
0.31
Central Def third → Left Half-Space Att third
1 passes · 1 to a shot
0.29
Left Half-Space Mid third → Left Half-Space Att third
2 passes
0.28
Central Def third → Right Wing Mid third
4 passes
06

Where Does He Receive?

The zones where Aitor Paredes 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
24%
Primary
Right Half-Space, Middle third
23%
Secondary
Central, Middle third
10%
Third
Central, 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 Aitor Paredes 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:
528201241256863623133367476
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.

3%8%16%11%1%0%13%21%9%0%0%1%7%5%3%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.

3Key pass
2Cross
1Cutback
63Progressive
49Long ball
17Switch
By zone — where the pass started → where it landed
37Outside → Inside
206Inside → Inside
23Outside → Outside
121Inside → Outside
By direction
221Forward
65Backward
133Sideways
own goal left, attacking →
04

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 switches it out from the right hs to the right wing in the middle third — 12 passes worth 0.75 xT.
Where do his chances come from?
Of 3 key passes, his busiest route is a delivery where he switches it out from the central to the left hs, advancing it forward in the defensive 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: 32% of his 19 touches there are lost (6 times).
32%6/19 lost3%1/36 lost5%2/42 lost3%1/30 lost20%2/10 lost7%2/28 lost7%7/99 lost3%3/96 lost8%3/37 lost12%1/8 lost—5 touches · too few—1 touch · too few—2 touches · too few—3 touches · too few—3 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

87 defensive actions across the season (15.2/90). 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 · 38% won
4
interceptions · 0.7/90
22
recoveries · 3.9/90
29
clearances · 5.1/90
1
blocks
35
avg action height
10
won high (att 3rd)
26
middle third
51
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 34 proactive ball-wins (6.0/90), tackle success 38%. 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 Aitor Paredes 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 5.3, 2m)
89%
9.6
8.1
1.37
Mid press (PPDA 6.4, 2m)
85%
4.9
11.4
1.04
Low press (PPDA 8.4, 3m)
96%
14.1
7.7
2.29
Team

Team context

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

15

Impact on the Team

Athletic Club's output per match with Aitor Paredes (7 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 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 (2)
Δ
goals against /match
0.86
1.50
-0.64
points /match
1.57
0.50
+1.07
goals for /match
1.57
0.50
+1.07
xG for /match
1.52
1.56
-0.05
16

His Share of the Team

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

category
share
him / team
goals
17%
2 / 12
clearances
11%
105 / 981
interceptions
8%
32 / 422
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.

Ball-playing centre-back73%Stopper centre-back64%
Why Ball-playing centre-back 73%: a weighted blend of retention 73 (weight 30%) + build-up 59 (weight 30%) + progression 70 (weight 25%) + press resistance 70 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
crossing, transition, carrying, passing directness, retention, line-breaking, press resistance
Average
progression, receiving zones, final-third threat, box threat, build-up, dribbling, ball-winning, defensive aggression, creativity
Weak
through-balls, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Crossing
76
Transition ~proxy
76
Carrying
74
Passing directness
74
Retention
73
Line-breaking
71
Press resistance ~proxy
70
Progression
70
Receiving zones
67
Final-third threat
64
Box threat
60
Build-up
59
Dribbling
58
Ball-winning
56
Defensive aggression
55
Creativity
51
Through-balls ~proxy
39
Territory (wide vs central)
14
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: 186 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.

António Silva Bournemouth · Premier League · 187 cm / 82 kg
88%
Driven by: transition (19%), progression (11%), press resistance (10%). Different mechanism — Silva more via territory (wide vs central).
Mario Gila AC Milan · Serie A · 185 cm / 74 kg
84%
Driven by: transition (19%), carrying (11%), progression (10%). Different mechanism — Gila more via through-balls, creativity.
Waldemar Anton Borussia Dortmund · Bundesliga · 189 cm / 86 kg
84%
Driven by: transition (19%), territory (wide vs central) (13%), carrying (11%). Different mechanism — Anton more via through-balls, defensive aggression.
Kim Min-Jae Bayern · Bundesliga · 190 cm / 81 kg
82%
Driven by: transition (24%), retention (13%), press resistance (10%). Different mechanism — Paredes more via box threat; Min-Jae more via receiving zones, passing directness.
Dayot Upamecano Bayern · Bundesliga · 186 cm / 90 kg
82%
Driven by: transition (23%), carrying (12%), retention (9%). Different mechanism — Paredes more via crossing; Upamecano more via receiving zones, through-balls.
Dean Huijsen Real Madrid · 195 cm / 87 kg
80%
Driven by: transition (14%), progression (11%), retention (11%). Different mechanism — Huijsen more via territory (wide vs central), progression.
20

Summary

Aitor Paredes is a ball-playing centre-back / stopper centre-back: 92% pass completion, 49 line-breaking passes and 11.0 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 (514 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back / stopper 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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