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Player reportLa Liga 2026

Andreas Christensen

Barcelona
Stopper centre-back CB
17.4 defensive actions/90 · 3.8 progressive/90 — defends first
centre-backball-playing centre-backbuild-upline-breaking
424
minutes
6 apps
346
passes
97% completed
97%
pass completion
346 passes
18
progressive passes
3.8/90
3
line-breaking passes
0.6/90
82
defensive actions
17.4/90
9
tackles + interceptions
50% tackle win
24
clearances
5.1/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Andreas Christensen has played 6 matches (424 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 (64% of his 346 passes)
97% completion · 346× in 6/6 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
3.8 prog/90 · 3× in 3/6 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 5× in 2/6 matches
↓
PROGRESS
entries into the final third
4.2/90 · 20× in 5/6 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 — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
16

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 →
58
passes / match
17.4
def actions / 90
46–74
pass range (matches)
24
clearances
Pass range = his fewest and most passes in any single match this season (46 at the low end, 74 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

90 tracked carries (19.1/90, 17 progressive, 776m 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%7%8%2%2%17%32%4%2%7%10%8%
progressivelateral/short% of his 90 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 26m
By zone — where the carry started → where it ended
7Outside → Inside
75Inside → Inside
5Outside → Outside
3Inside → Outside
First (29)Second (23)Third (22)Fourth (16)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 50%
OUTSIDE 50%
Tackle-duel location — 1 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
1 · 50%
Left Half-Space
0 · 0%
Left Wing
1 · 50%
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 1 dribble 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?

5%
vertical passes
14×
2%
switches
5×
30%
carries
77×
63%
short circulation
162×
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 →RWRHSCLHSLWRW1533%567%10RHS6239%2424%1515%923%14C1339%1229%3824%3228%3711%14LHS1043%345%4721%2231%32LW2317%426%657%13FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the middle third → the right half-space in the final third — 2 progressive passes (14% of his progression) at 0.076 xT each. He moves it inside.

His progression is inward: 50% of progressive passes move the ball toward the middle versus 7% going wider — he cuts in rather than holding width.

Only 5% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 5 line-breaking passes and 20 final-third entries, 4.6 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%3%8%3%3%14%26%8%1%0%3%9%9%10%1%0%
completedincomplete346 passes · any zone → any zone · own goal left, attacking →
346
passes
97%
completed
9
lost
Vision AIIn line with his 97% season completion rate.
04

How does he progress play?

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

18
progressive · 3.8/90
20
final-third entries · 4.2/90
1
box entries · 0.21/90
22
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.
11

How does he create chances?

1 key passes (0.21/90), 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
05

What is his passing profile?

346
passes attempted
49%
mostly forward
58%
mostly medium
Direction
Forward
168 · 49%
Sideways
150 · 43%
Backward
28 · 8%
Length (completed)
Short (<15m)
138 · 41%
Medium
194 · 58%
Long (>30m)
5 · 1%
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.

0.300.170.140.120.110.11
own goal left, attacking →
Highest-value routes (xT)
0.30
Left Half-Space Mid third → Left Half-Space Att third
1 passes · 1 to a shot
0.17
Central Mid third → Right Wing Mid third
3 passes
0.14
Right Half-Space Mid third → Right Half-Space Att third
1 passes
0.12
Left Half-Space Mid third → Central Att third
1 passes
0.11
Right Half-Space Mid third → Right Half-Space Mid third
1 passes
0.11
Central Mid third → Right Half-Space Mid third
1 passes
06

Where Does He Receive?

The zones where Andreas Christensen 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
26%
Primary
Central, Middle third
19%
Secondary
Left Half-Space, Middle third
12%
Third
Right Half-Space, Middle 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 Andreas Christensen 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:
113030343110489029541092611
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%3%8%3%3%14%26%8%1%0%3%9%9%10%1%0%
own goal left, attacking →
10

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
1Cutback
18Progressive
3Long ball
5Switch
By zone — where the pass started → where it landed
20Outside → Inside
217Inside → Inside
18Outside → Outside
82Inside → Outside
By direction
168Forward
28Backward
150Sideways
own goal left, attacking →
03

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 hs, advancing it forward in the middle third — 1 passes worth 0.30 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays straight through the left hs, 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: 10% of his 10 touches there are lost (1 times).
—4 touches · too few5%1/22 lost0%0/40 lost3%1/39 lost10%1/10 lost8%1/12 lost2%1/42 lost2%2/91 lost0%0/65 lost0%0/12 lost—0 touches · too few—0 touches · too few—4 touches · too few—3 touches · too few—2 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

12

How & where does he defend?

82 defensive actions across the season (17.4/90). 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 →
2
tackles · 50% won
7
interceptions · 1.5/90
19
recoveries · 4.0/90
24
clearances · 5.1/90
1
blocks
35
avg action height
5
won high (att 3rd)
40
middle third
37
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 28 proactive ball-wins (5.9/90), tackle success 50%. He defends mostly around the middle third.
13

Can he play under pressure?

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

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 6.2, 2m)
96%
4.2
1.2
1.35
Mid press (PPDA 7.6, 2m)
98%
3.7
0.0
1.21
Low press (PPDA 13.3, 2m)
98%
3.5
0.7
1.31
Team

Team context

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

14

Impact on the Team

Barcelona's output per match with Andreas Christensen (6 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 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 (6)
WITHOUT (4)
Δ
goals against /match
1.17
1.00
+0.17
points /match
3.00
2.25
+0.75
goals for /match
4.83
2.75
+2.08
xG for /match
3.17
0.78
+2.39
15

His Share of the Team

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

category
share
him / team
clearances
5%
43 / 899
interceptions
3%
9 / 337
threat added by passing (xT)
2%
13.6 / 622.0
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

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-back70%Stopper centre-back58%
Why Ball-playing centre-back 70%: a weighted blend of retention 77 (weight 30%) + build-up 71 (weight 30%) + progression 63 (weight 25%) + press resistance 36 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, passing directness
Strong
transition, box threat, retention, final-third threat, build-up
Average
carrying, progression, defensive aggression, creativity, line-breaking, through-balls
Weak
ball-winning, press resistance, crossing, territory (wide vs central), dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
93
Passing directness
92
Transition ~proxy
83
Box threat
81
Retention
77
Final-third threat
76
Build-up
71
Carrying
67
Progression
63
Defensive aggression
61
Creativity
57
Line-breaking
57
Through-balls ~proxy
44
Ball-winning
36
Press resistance ~proxy
36
Crossing
36
Territory (wide vs central)
9
Dribbling
7
18

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: 189 cm / 84 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.

Pau Cubarsí Barcelona · 183 cm / 79 kg
84%
Driven by: transition (18%), dribbling (14%), passing directness (13%). Different mechanism — Christensen more via box threat.
Amir Rrahmani Napoli · Serie A · 192 cm / 87 kg
84%
Driven by: transition (15%), receiving zones (12%), passing directness (12%). Different mechanism — Christensen more via crossing; Rrahmani more via dribbling, press resistance.
David Alaba Udinese · Serie A · 180 cm / 78 kg
77%
Driven by: dribbling (17%), transition (11%), receiving zones (10%). Different mechanism — Christensen more via through-balls, ball-winning; Alaba more via crossing, progression.
Jan Paul van Hecke Tottenham · Premier League · 189 cm / 79 kg
77%
Driven by: dribbling (14%), receiving zones (14%), transition (13%). Different mechanism — Christensen more via retention; Hecke more via progression, line-breaking.
Jeff Chabot Stuttgart · Bundesliga · 195 cm / 95 kg
77%
Driven by: transition (17%), territory (wide vs central) (16%), passing directness (15%). Different mechanism — Christensen more via receiving zones; Chabot more via dribbling.
Jonathan Tah Bayern · Bundesliga · 195 cm / 94 kg
75%
Driven by: transition (18%), receiving zones (16%), passing directness (12%). Different mechanism — Christensen more via box threat, crossing; Tah more via dribbling, press resistance.
19

Summary

Andreas Christensen is a ball-playing centre-back / stopper centre-back: 97% pass completion, 3 line-breaking passes and 3.8 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 6 matches (424 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 press resistance — 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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