Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2026
Barcelona
A possession-dominant side, aggressive high-press out of possession, with a high-volume attack. Currently #1 of 20 on 27 points (9-0-1, 40:11). Tactical profile below is built from 10 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Barcelona and how good was the season?
Read. Barcelona currently sit #1 of 20 on 27 points (9W-0D-1L, 2.70 pts/game), scoring 40 and conceding 11 for a goal difference of +29.
On the ball they are a possession-dominant team (73% field tilt, #1 in the league); off it they defend with a aggressive high-press (#1 of 20 for press intensity).
Across the 10 matches of event data, they create 2.78 xG/game (#1) and concede 0.88 (#1), a net of +1.90 xG/game — the underlying performance diverges from the actual goal difference.
Season Context — the league table
The question
Where did Barcelona actually finish, and against whom?
The authoritative final table (full season), centred on Barcelona.
#
team
P
W
D
L
GF
GA
GD
Pts
1
Barcelona
10
9
0
1
40
11
+29
27
2
Atletico
10
8
1
1
20
8
+12
25
3
Real Madrid
10
8
0
2
25
10
+15
24
4
Real Betis
10
6
2
2
16
14
+2
20
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Barcelona actually dominate for chances — and which periods hurt them?
Net xG (created minus conceded) in each 15-minute window, summed across the whole season's matches — above the line is time they dominate for chances, below is time it hurts them. Real on-clock shot timing.
dominant (net xG for)conceding (net xG against)
Vision AI Model Insight
Barcelona tend to come alive after the break — first-half net xG +7.15, second-half +11.81. Their strongest period is 76-90+' (net +5.03 xG); their most dangerous period to face is 16-30' (net +2.14 xG against them).
xG Race — the season, match by match
Expected goals piling up over 10 matches: Barcelona against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (+19.0 xG). Hover a point for that match.
BarcelonaOpponents against Barcelona
Tactical DNA
The football question
In five genes, what is Barcelona's footballing identity?
Each gene is a 0–100 score — the team's league percentile across the metrics that define that phase of play. It distils the whole report into an identity fingerprint: the taller the gene, the more that trait defines them.
95
Build-Up
possession control from the back
90
Progression
moving the ball upfield with threat
92
Creation
manufacturing chances
95
Press
winning the ball high & hard
95
Solidity
resisting the opponent's threat
Genetic identity
Barcelona are defined most by their Build-Up DNA (95/100 · elite at possession control from the back), and least by their Progression DNA (90/100). Percentiles vs the 20 teams in the league.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
96%
Possession
96%
Field tilt
96%
Disrupt
Central progression ~proxy
83%
Dribble tendency
17%
Progressive passes
83%
Finish
Final-third patience
57%
Shot quality
91%
Open-play xG
96%
Press
Forward press ~proxy
96%
High regains
87%
Pressing efficiency ~proxy
91%
Defend
Def-mid press ~proxy
96%
High line ~proxy
91%
PAdj defensive actions
96%
Barcelona is defined most by Possess (96% in the league) and weakest on Disrupt (61%). Percentiles vs the 23 teams in the league this season.
In possession
In possession
How they keep the ball, build up, progress, create and finish, and where their attacks die.
How much of the pitch does Barcelona actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Barcelona's matches, the standard proxy for territorial dominance. Plotted against points per game for every side in the league — the real question isn't just who controls territory, it's whether that control actually converts into results. Dashed lines mark the league average on each axis; Barcelona highlighted. Hover any dot for the team.
Vision AI Model Insight
Barcelona post 73% field tilt, ranking #1 of 20 in the league — a genuinely territory-dominant side, and their 2.70 points/game sits above the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Barcelona has the ball, how much of that time is spent building, progressing and creating?
The share of Barcelona's time on the ball spent in each phase of play, in the order the phases happen. A phase is where the ball is on the pitch (own third, middle third, final third); a transition or a set piece skips the build-up and is counted on its own.
Phase
Share of the time
Build-up
18.0%
Progression
56.6%
Chance creation
23.3%
Attacking transition
2.2%
Vision AI Model Insight
Progression is where Barcelona spends most of its time on the ball (57% of its time on the ball).
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Cubarsí ↔ Martín
178p · 0.9xT
García ↔ Yamal
174p · 2.8xT
Rodri ↔ Pedri
173p · 0.9xT
García ↔ Cubarsí
165p · -0.8xT
Rodri ↔ Cubarsí
137p · -0.6xT
Rodri ↔ García
126p · 0.9xT
Rodri ↔ Martín
123p · -0.5xT
Pedri ↔ Cubarsí
111p · 0.0xT
Martín ↔ Espart
109p · -1.2xT
López ↔ Yamal
98p · 3.2xT
Vision AI Model Insight
Busiest connection: Pau Cubarsí ↔ Gerard Martín (178 passes). Most dangerous per pass: Fermín López ↔ Lamine Yamal (0.03 xT/pass over 98 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Barcelona had the ball
Every touch across 98 matches. Brighter means more touches.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Barcelona actually do its on-ball work?
Passes on one map, carries (the ball travelling with a player) on the other. Each is binned into the 15 pitch zones (three thirds × five vertical lanes) and shaded by its share of that kind of action; the arrows are the real actions.
Passes
the ball moved by a pass
7282
ACTIONS
Carries
the ball moved with a player
1783
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (14.6% of all actions). 67% of actions run through the inside lanes (centre + both half-spaces) versus 33% down the two wings — an inside-dominant, half-space build. By third: 20% defensive, 58% middle, 23% attacking.
Attack Sides
Which channel they attacked through this season: the share of every action made in the opponent’s half, down the left, through the middle and down the right. Barcelona spread it evenly (no channel above 37%). The bars under the pitch put the league’s share beside theirs.
Barcelona
35%28%37%
League
38%23%39%
Final-Third Entries
Every completed pass or carry that took the ball from outside the final third into it, by the channel it arrived in. Barcelona made 707 this season (70.7 a match); 28% came into the left wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
198
19.8
28%
29%
Left half-space
105
10.5
15%
15%
Centre
122
12.2
17%
12%
Right half-space
106
10.6
15%
15%
Right wing
176
17.6
25%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Barcelona progress possession from defence into attack — and who runs it?
Build-up passes grouped into 5 real categories — not the old zone grid, not raw individual lines: CB (passer is a centre-back), Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
1405build-up passes attempted
91%completed
28%reach the middle third
0%go long into the final third
Pass types
713CB · 56%
54Long Wide · 4%
3Long Central · 0%
360Wide → FB · 28%
146Central · 11%
Sequence success — build-up
145build-up sequences this season
18%succeed — reach the next third or a shot
31%turned over with nothing to show
CB713 · 56%
Long Wide54 · 4%
Long Central3 · 0%
Wide → FB360 · 28%
Central146 · 11%
◆ Vision AI Insight
Barcelona build predominantly down the right, with Cubarsí as the fulcrum (220 build-up passes). Only 28% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → RHS def (99×).
Pass Explorer
Every pass of Barcelona’s last 10 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
Progression4 sections
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 536 progressive passes across 10 matches (53.6/game).
Origin lane
Right wing
27%
Right half-space
20%
Central
11%
Left half-space
18%
Left wing
24%
Progression is right-dominant: 47% right side · 11% central · 42% left.
Who generates it
Lamine Yamal
73 · 14%
Eric García
49 · 9%
Pedri
44 · 8%
Gerard Martín
42 · 8%
Xavi Espart
37 · 7%
Top two — Lamine Yamal & Eric García — account for 23% of all progression.
PROGRESSION
53.6 prog passes/game
mostly right
→
PENETRATION
29% reach final third
21% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it.29% of progressive passes reached the final third and 21% the box; the rest was recycled in front of the block. 23% of the progression ran through two players, mostly down the right side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Barcelona have the ball in midfield, how do they actually break into the final third — and who carries that job?
Progression passes grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
4200progression passes attempted
93%completed
15%break into the final third
7%go backward into the defensive third
Pass types
1792CB · 46%
79Long Wide · 2%
9Long Central · 0%
1488Wide → FB · 38%
536Central · 14%
Sequence success — progression
271progression sequences this season
28%succeed — reach the next third or a shot
31%turned over with nothing to show
CB1792 · 46%
Long Wide79 · 2%
Long Central9 · 0%
Wide → FB1488 · 38%
Central536 · 14%
◆ Vision AI Insight
Barcelona progress predominantly down the right, with Rodri the busiest midfield outlet (496 progression passes). Only 15% of passes that start in midfield actually break the final-third line — the rest (78%) is recycled back into midfield or (7%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LHS mid → C mid (272×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
13%
Progressive
1%
Neutral / sideways
47%
Safe / backward
38%
14% of passes are progressive-or-better; the remaining 86% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Barcelona actually progress the ball with their feet, not a pass?
392 progressive carries this season across the whole squad (22% of 1783 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 14m, longest 52m. Most active carrier: Martín (50). Filter to one player below.
First (130)Second (121)Third (77)Fourth (64)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Chance creation4 sections
Chance creation — how the shots come
The question
Where do Barcelona's chances actually come from?
Every shot traced back to its source: set pieces, or the pass that set it up (a cross, a cut-back, a long ball, a pass into the box) or no pass at all (the player created it himself).
209shots
27.8xG
0.13xG per shot
20big chances (0.3+ xG)
38goals
#1key passes / game in the league
#3box entries / game in the league
Source of the shot
Shots
Goals
xG
xG / shot
Cross
19
2
2.14
0.11
Cut-back
19
5
2.51
0.13
Long ball
7
0
0.99
0.14
Pass into the box / short pass
97
19
11.22
0.12
Own creation (carry, dribble, rebound)
28
5
3.53
0.13
Corner
24
3
3.13
0.13
Free kick
10
0
0.28
0.03
Penalty
5
4
3.97
0.79
Every attempt to create — and what came of it
Every pass into the box, every cut-back and every pass before a shot. Red led to a shot, gold to a goal; grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball. Filter by outcome, type or player; tap an arrow for the detail.
Who sets the shots up
Player
Set-ups
xG created
Goals
Lamine Yamal
27
3.76
5
Dani Olmo
13
2.15
3
Raphinha
16
1.97
2
Anthony Gordon
16
1.88
4
Fermín López
8
1.48
2
Who takes them
Player
Shots
xG
Goals
Raphinha
32
6.99
13
Lamine Yamal
53
6.16
8
Karim Adeyemi
16
2.99
2
Anthony Gordon
21
2.35
1
Fermín López
15
2.11
4
Vision AI Model Insight
The biggest source of Barcelona's chances, by xG, is pass into the box / short pass (11.2 of 27.8 xG, 97 of 209 shots). 39 of the 209 shots came from set pieces; 38 goals from 27.8 xG (+10.2).
Chance Creation — the pass map
The football question
How does Barcelona consistently create dangerous chances — from which zones, and who creates them?
Key passes (the pass immediately before a shot) grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top creator.
Pass types
20CB · 12%
9Long Wide · 5%
9Long Central · 5%
55Wide → FB · 34%
71Central · 43%
Sequence success — final-third
175final-third sequences this season
32%succeed — produce a shot
21%turned over with nothing to show
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB20 · 12%
Long Wide9 · 5%
Long Central9 · 5%
Wide → FB55 · 34%
Central71 · 43%
Who creates — volume × threat
30Yamal
19Pedri
17Raphinha
15Olmo
14López
14Gordon
9Adeyemi
164key passes #1 of 20
18.6box entries/game #3 of 20
60.4final-3rd entries/game #1 of 20
2.78xG/game #1 of 20
38goals #1 of 20
+10.2finishing vs xG #1 of 20
◆ Vision AI Insight
Barcelona lean right — 38% of their key passes come from that flank and its half-space (63 of 164), most often from Yamal (21). They funnel chances into the c of the final third, most often via RHS att → C att (23 key passes, most often from Yamal). Yamal is the primary source overall. They generate 2.78 xG a game and finish it clinical — they beat their xG, led by Raphinha (13G), Lamine Yamal (8G), Fermín López (4G).
Crosses & Cutbacks — squad-wide
The question
How does Barcelona deliver into the box from wide areas, and what comes of it?
114 crosses: 51 found a team-mate (45%), 22 led to a shot (19%). 53 cut-backs: 35 found a team-mate (66%), 19 led to a shot (36%). A cross starts wide and is aimed into the box; a cut-back starts near the byline and is squared back. Grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball.
Crosses by Territory
The question
Which part of the final third does Barcelona actually cross from?
114 crosses this season (the same crosses as the map above), split into fifteen territories — five channels (both wings, both half-spaces and the centre) by three depths from the halfway line to the byline. 29% come from one territory, the advanced right wing; 10 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · right wing
33
29%
4
advanced · left wing
25
22%
3
byline · left wing
19
17%
6
byline · right wing
13
11%
3
deep · right wing
10
9%
1
deep · left wing
4
4%
0
byline · left half-space
4
4%
1
advanced · right half-space
2
2%
1
advanced · left half-space
2
2%
1
byline · right half-space
2
2%
2
Finishing3 sections
Shot Map
209 shots for 27.8 xG (2.78/game, #1 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
High-volume attack. 20.9 shots/game at 0.133 xG/shot. Box entries 19/game (#3). Threat created 15.2 xT/game (#1).
Goal Sequences
The move behind each of Barcelona’s 40 goals this season, from the moment they got the ball to the finish. Pick a goal from the list, then step through it or press Play: numbered circles are passes and touches, dotted lines are carries (the ball travelling with a player), dashed grey is a pass that was lost, the star is the shot.
Each goal’s possession, rebuilt from the raw event feed — 40 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Barcelona scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
31 · 82%
Set pieces
3 · 8%
Penalties
4 · 11%
By finish
Right foot
14 · 37%
Left foot
22 · 58%
Header
2 · 5%
Vision AI Model Insight
38 goals scored. 82% come in open play; set pieces add 8%. Open play is clearly their main route to goal.
When they lose it1 section
Ball-Loss Map — where attacks die
Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.
Loss rate by zone
How they lose it
Incomplete pass — attacking third
327
Failed forward pass
228
Failed take-on
120
Lost in the defensive third
129
Their weakest zone is the left half-space in the attacking third: 26% of 332 pass attempts there are lost (86 times). Separately, 43% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession
Out of possession
How they press, where they win the ball back, and how they concede.
How hard does Barcelona press, where, and does it actually work — beyond a single PPDA number?
A composite Pressing Index built from four event-derived dimensions, each ranked against the league. Not one metric — intensity, height, effectiveness and opponent disruption together. The pitch shows every defensive action (the only five events this data records); the white line is the average height that feeds the score. Toggle by action type below, hover any dot for the player.
88
Pressing Index /100 · elite
Intensity85
PPDA, high-press share, high-zone actions
Height95
how high up the pitch they defend
Effectiveness95
high recoveries & high-regain share
Disruption72
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
19%
RHS
23%
C
20%
LHS
19%
LW
18%
By third (high / mid / low regain)
Def 39%
Mid 45%
Att 16%
Read
Ranked #1 of 20 for press intensity, this is a high press. 61% of defensive actions happen in the middle & attacking thirds, at an average height of 42. Of recoveries, 64% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#1/20
lower = more intense; rank is what matters
Defensive actions / game
139
#18/20
High-press share
25%
#3/20
def actions won high up
Defensive-action height (0–100)
42.7
#1/20
avg pitch height of actions
High recoveries / game
26.6
#1/20
ball won in mid+att third
High-recovery share
64%
#1/20
share of recoveries won high
Opponent completion allowed
74%
#1/20
lower = more disruptive
Opponent progressive allowed
9.1%
#10/20
of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.
How long they keep it — passes and seconds until the ball is won
The question
Once the opponent has the ball, how many passes and how many seconds pass before Barcelona win it back with a defensive action?
Counted over the 328 opposition possessions that Barcelona ended with a tackle, interception, recovery or challenge. Fewer passes and seconds means the ball is won quickly (a press); more means the opponent is allowed to play before Barcelona step in. Barcelona win it after 3.7 opponent passes in the first half-hour and after 3.5 after the hour mark (about the same).
PASSES THEY GET
3.6passes
median 2 · before Barcelona win it
TIME THEY KEEP IT
10sec
median 5s · 32.8 wins per game
How many passes the opponent got in before the ball was won
51%
30%
13%
6%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
3.8
10s
15–30′
3.7
10s
30–45+′
3.8
11s
45–60′
3.4
10s
60–75′
3.4
9s
75–90+′
3.6
11s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Barcelona does. This says
how: wide or central, short or long, patient or direct. Bars are standard deviations
from the league mean for passes played from that third; a solid bar marks a dimension
where Barcelona are genuinely unusual, and a verdict is only written where something clears
0.85 sd — a side that is ordinary in a third is told so rather than given a label
for average play.
Build-up (own third) 1,405 passes
shorter passing, safer, kept on the floor
Width of use-0.0620.88
Wide-channel share-0.230.29
Side bias-0.17-0.46
Pass length-1.3917.68
Long-ball share-1.370.10
Forward gain per pass-1.206.28
Backward-pass share-0.310.18
Deep-pass share-1.270.17
Completion+1.390.91
Seconds between passes-0.543.00
Side used
left 28% · central 43% · right 29%
Progression (middle third) 4,200 passes
safer, shorter passing, kept on the floor
Width of use-0.9323.60
Wide-channel share-0.970.34
Side bias-0.40-1.51
Pass length-1.3115.39
Long-ball share-1.270.05
Forward gain per pass-0.622.66
Backward-pass share-0.480.31
Deep-pass share-1.150.10
Completion+1.330.93
Seconds between passes-0.443.00
Side used
left 32% · central 33% · right 35%
Final third 1,677 passes
narrow, central, played inside, safer
Width of use-1.4328.07
Wide-channel share-1.410.47
Side bias-0.15-1.50
Pass length-1.1013.76
Long-ball share-1.050.05
Forward gain per pass-0.94-0.21
Backward-pass share+0.940.45
Deep-pass share-0.520.07
Completion+1.310.80
Seconds between passes-0.263.20
Side used
left 37% · central 21% · right 42%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Barcelona's own league. The means
behave as football should: width of use grows 21.0 → 25.6 → 31.6 going forward,
pass length shrinks 22.7 → 17.2 → 15.5 m, and completion is hardest in the
final third. Tempo is integer-resolution because the feed records whole seconds.
Transitions1 section
Transitions — attacking & defensive
The question
When Barcelona win or lose the ball, what actually happens in the seconds after?
Reconstructed from the full timestamped event stream: real possession spells (not zone-clustered), and shots that follow a regain within a fixed window. This phase of play needs ordered, per-event timestamps — which every match here carries.
Direct play share15%
#18 of 20 · reaches final third in ≤3 passes
Patient build-up share43%
#1 of 20 · spells of 6+ passes
Tempo (possession length)25.3s
#20 of 20 · shorter = faster tempo
Passes per possession7.0
#1 of 20
Counter-attack shots /game1.06
#7 of 20 · shot within 12s of a regain in own half
Press→shot /game3.88
#2 of 20 · shot within 8s of a high regain
Speed to final third after regain15.6s
#20 of 20 · lower = faster break
Sequence success — attacking transition
10attacking transition sequences this season
20%succeed — produce a shot
40%turned over with nothing to show
Sequence success — defensive transition
65defensive transition sequences this season
51%succeed — reach the next third or a shot
11%turned over with nothing to show
Vision AI Model Insight
Barcelona are a patient build-up side: 15% of possessions reach the final third in 3 passes or fewer (#18 of 20), against 43% built patiently over 6+ passes (#1 of 20). Winning the ball back leads to a shot inside 12 seconds 1.06 times a game (#7), and a high regain converts to a shot within 8 seconds 3.88 times a game (#2 of 20) — a genuine transition weapon.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Barcelona? 297 opponent progressive passes and 71 shots faced (8.8 xG against) across the season.
Opponent threat by lane (attacking into Barcelona)
Right wing
27%
Right half-space
9%
Central
25%
Left half-space
10%
Left wing
29%
Where the danger came from. Opponents generated most of their threat through the left wing (29% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Barcelona actually come from — open play, dead balls, and who supplies them?
Every goal Barcelona conceded across the loaded matches — the opponent's shots in Barcelona's own matches — plus every individual opponent key pass faced, each drawn as its own real arrow (not zone-clustered) with the % share of each zone behind it.
Where the goals go in
Every opponent key pass against them (50 total)
By situation
Open play
9 · 82%
Set pieces
2 · 18%
Penalties
0 · 0%
Vision AI Model Insight
11 goals conceded. 82% come in open play; set pieces account for only 18%, so dead-ball defending is not the main issue. 27% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the left half-space of the attacking third (22% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
31 g · 20.4 xG
Set pieces
3 g · 3.4 xG
Penalties
4 g
8% of goals come from set pieces (3 of 38), worth 3.4 xG from 34 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Barcelona's corners go?
71 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data is recorded here, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.
Right side (32)
Delivered into the box 94%Short 6%
Left side (39)
Delivered into the box 90%Short 10%
Where opponents attack Barcelona from set pieces
8 shots from opponent corners against Barcelona, 2 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (3)
Shot 3Goals 1
Left flag (5)
Shot 5Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
xG created /game — 2.78 (95th pct)
xG conceded /game — 0.88 (95th pct)
press intensity (PPDA) — 3.72 (95th pct)
field tilt % — 72.97 (95th pct)
threat created /game — 15.23 (95th pct)
Weaknesses (bottom-third vs league)
none stand out
Style Archetype & Similar Teams
Team archetype: High-press possession side. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Villarreal
90%
Atletico
86%
Real Madrid
74%
Athletic Club
73%
Real Betis
13%
Performance vs Opponent Styles
The question
Not just how Barcelona results against a high press or a low block — how does their own play actually change?
Every match split into three tiers by how hard that specific opponent pressed (opponent PPDA — lower means a more aggressive press), matching Barcelona's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (3m)
4.33
1.00
3.00
vs mid-block opponents (3m)
4.00
2.00
2.00
vs low-block opponents (4m)
3.75
0.50
3.00
Behaviour — how Barcelona actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
88%
6%
48
13.0
15.7
vs mid-block opponents
89%
5%
49
14.5
19.0
vs low-block opponents
91%
6%
62
17.5
20.5
Vision AI Model Insight
Facing a high press, retention drops to 88% vs 91% against a low block (2pt lower under pressure), and directness (long-ball share) sits at 6% when pressed vs 6% against a low block — their passing style barely changes regardless of how the opponent sets up, for better or worse.
Scouting Summary — the team in brief
In brief. Barcelona are possession-dominant with a aggressive high-press.
Their attack creates 2.78 xG a game and they concede 0.88 a game.
[Event-data based — no tracking, so off-ball structure and marking scheme need video.]
For each of ten match numbers, the one match this season that departed furthest from Barcelona’s own average, the eight biggest swings first. Bar right of centre means more than usual, left means less. It shows how much the way they play moves from game to game, and which opponent moved it.
Barcelona
across 10 matches this season
Expected goalsvs Racing Santander · 7-2 · 2026-09-165.85avg 2.78
Field tiltat Elche · 5-0 · 2026-08-2342%avg 73%
PPDAvs Getafe · 3-0 · 2026-10-101.8avg 3.7
Progressive carriesvs Real Madrid · 1-2 · 2026-10-25101avg 73
Every pass, carry, take-on, shot and ball win is worth the change it made to the chance of scoring minus the chance of conceding in the next 10 seconds. This is Barcelona’s last 10 matches added up: where the value came from, who produced it, and the six biggest single moves.
+29.9on-ball value, 10 matches
Where the value came from
Passes7282 actions+10.79
Carries1783 actions-0.39
Dribbles252 actions+2.06
Shots209 actions+14.05
Ball wins580 actions+3.42
Most valuable players
Actions
OBV
per 100
Lamine Yamal
795
+6.00
+0.75
Raphinha
378
+3.57
+0.94
Fermín López
440
+2.29
+0.52
Anthony Gordon
389
+2.29
+0.59
Pedri
967
+2.07
+0.21
Rodri
1001
+2.01
+0.20
Karim Adeyemi
273
+1.97
+0.72
Pau Cubarsí
908
+1.72
+0.19
Biggest single moves
OBV
1 Raphinha · shot
+0.824
2 Raphinha · shot
+0.810
3 Lamine Yamal · shot
+0.800
4 Raphinha · shot
+0.792
5 Lamine Yamal · shot
+0.779
6 Fermín López · pass
+0.562
Set Pieces by Player
Who delivers Barcelona’s dead balls and who finishes them this season. 71 corners taken, most by Dani Olmo (21); 34 shots from corners and free kicks, 3 goals, led by Rodri (1 goals, 0.71 xG). “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Raphinha
20
12 (60%)
7
1
0.20
5
3/3
Dani Olmo
21
9 (43%)
3
—
0.08
2
—
Lamine Yamal
10
2 (20%)
4
—
0.13
3
1/2
Fermín López
14
9 (64%)
2
—
0.05
—
—
Rodri
—
—
4
1
0.71
—
—
Andreas Christensen
—
—
3
—
0.50
—
—
Karim Adeyemi
—
—
3
—
0.74
—
—
João Cancelo
4
3 (75%)
1
—
0.02
—
—
Gerard Martín
—
—
2
—
0.20
—
—
Pedri
2
0 (0%)
1
—
0.02
—
—
Eric García
—
—
1
—
0.03
—
—
Pau Cubarsí
—
—
1
—
0.07
—
—
Gavi
—
—
1
—
0.03
—
—
Jules Koundé
—
—
1
1
0.62
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 270 minutes). Coloured chips are that player's strongest capability blocks.