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Team reportLa Liga 2026

Valencia

A territorially-dominated side, aggressive high-press out of possession, with a low-output attack. Currently #19 of 20 on 6 points (1-3-6, 7:17). Tactical profile below is built from 10 matches of ball-by-ball event data, contextualised against the league.

territorially-dominatedaggressive high-presslow-output attack
L
W
D
W
W
D
L
L
L
L
W
L
D
D
L
6
points
#19 of 20 · 10 games
7:17
goals
-10 GD
1-3-6
record
W-D-L
0.60
points/game
#19 in the league
0.97
xG for/game
rank #17
1.35
xG against/game
rank #13
#20
press rank
of 20 · most aggressive
39%
field tilt
#20
Valencia
League average
Expected goals for / game
0.971.34
Expected goals against / game
1.351.34
Field tilt
39%50%
Pass retention
79%82%
Overview

The team

Who they are and how the season went.

Who Are They? — Identity

The question
In one read, what kind of team is Valencia and how good was the season?
Read. Valencia currently sit #19 of 20 on 6 points (1W-3D-6L, 0.60 pts/game), scoring 7 and conceding 17 for a goal difference of -10. On the ball they are a territorially-dominated team (39% field tilt, #20 in the league); off it they defend with a aggressive high-press (#20 of 20 for press intensity). Across the 10 matches of event data, they create 0.97 xG/game (#17) and concede 1.35 (#13), a net of -0.38 xG/game — the underlying performance matches the actual goal difference.

Season Context — the league table

The question
Where did Valencia actually finish, and against whom?

The authoritative final table (full season), centred on Valencia.

#teamPWDLGFGAGDPts
16Rayo Vallecano92341220-89
17Getafe10235515-109
18Espanyol102261214-28
19Valencia10136717-106
20Malaga10055719-125

Match Momentum — when they create and concede danger

The question
Across a whole game, which periods does Valencia 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)
even0-15'16-30'31-45'46-60'61-75'76-90+'+0.10-1.62
Vision AI Model Insight
Valencia tend to fade after a strong start — first-half net xG -1.43, second-half -2.36. Their strongest period is 0-15' (net +0.10 xG); their most dangerous period to face is 46-60' (net -1.62 xG against them).

xG Race — the season, match by match

Expected goals piling up over 10 matches: Valencia 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 (-3.8 xG). Hover a point for that match.

0510159.713.5Celta Vigo (H) 0-0 · xG 0.60 to 0.59Real Betis (H) 0-1 · xG 1.25 to 0.72Deportivo (A) 1-3 · xG 1.09 to 1.07Barcelona (H) 0-5 · xG 0.47 to 3.72Sevilla (A) 0-1 · xG 0.14 to 0.83Alaves (A) 1-0 · xG 0.79 to 1.02Real Sociedad (H) 2-3 · xG 1.74 to 2.41Racing Santander (A) 2-2 · xG 1.28 to 1.06Athletic Club (H) 0-0 · xG 1.09 to 0.70Villarreal (H) 1-2 · xG 1.25 to 1.36M1M2M3M4M5M6M7M8M9M10
ValenciaOpponents against Valencia

Tactical DNA

The football question
In five genes, what is Valencia'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.

12
Build-Up
possession control from the back
10
Progression
moving the ball upfield with threat
12
Creation
manufacturing chances
0
Press
winning the ball high & hard
35
Solidity
resisting the opponent's threat
Genetic identity
Valencia are defined most by their Solidity DNA (35/100 · limited at resisting the opponent's threat), and least by their Press DNA (0/100). 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).

Possess28Disrupt38Finish39Press41Defend26
Possess
Deep buildup
35%
Possession
30%
Field tilt
17%
Disrupt
Central progression ~proxy
30%
Dribble tendency
52%
Progressive passes
30%
Finish
Final-third patience
35%
Shot quality
52%
Open-play xG
30%
Press
Forward press ~proxy
30%
High regains
65%
Pressing efficiency ~proxy
26%
Defend
Def-mid press ~proxy
13%
High line ~proxy
35%
PAdj defensive actions
30%
Valencia is defined most by Press (41% in the league) and weakest on Defend (26%). 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.

Keeping the ball6 sections

Field Tilt — Territorial Control

The question
How much of the pitch does Valencia actually control, relative to the rest of the league?

Field tilt = share of final-third touches between the two sides across Valencia'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; Valencia highlighted. Hover any dot for the team.

Barcelona: 73% tilt, 2.70 pts/gAtletico: 61% tilt, 2.50 pts/gReal Madrid: 52% tilt, 2.40 pts/gReal Betis: 51% tilt, 2.00 pts/gReal Sociedad: 47% tilt, 1.90 pts/gSevilla: 51% tilt, 1.70 pts/gAthletic Club: 60% tilt, 1.33 pts/gVillarreal: 64% tilt, 1.20 pts/gAlaves: 49% tilt, 1.20 pts/gCelta Vigo: 50% tilt, 1.20 pts/gDeportivo: 44% tilt, 1.10 pts/gOsasuna: 45% tilt, 1.10 pts/gRacing Santander: 47% tilt, 1.10 pts/gElche: 46% tilt, 1.00 pts/gRayo Vallecano: 47% tilt, 1.00 pts/gLevante: 43% tilt, 1.00 pts/gGetafe: 43% tilt, 0.90 pts/gEspanyol: 45% tilt, 0.80 pts/gValencia: 39% tilt, 0.60 pts/gMalaga: 46% tilt, 0.50 pts/gValencia39%50%61%73%0.51.22.02.7FIELD TILT %POINTS / GAME
Vision AI Model Insight
Valencia post 39% field tilt, ranking #20 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 0.60 points/game sits below the league-average return — territory is genuinely converting into results.

Where the time goes — how long each phase lasts

The question
When Valencia has the ball, how much of that time is spent building, progressing and creating?

The share of Valencia'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.

Build-up: 27.6% of the time on the ball28%Progression: 45.8% of the time on the ball46%Chance creation: 24.2% of the time on the ball24%Attacking transition: 2.4% of the time on the ball46%PROGRESSION
PhaseShare of the time
Build-up27.6%
Progression45.8%
Chance creation24.2%
Attacking transition2.4%
Vision AI Model Insight
Progression is where Valencia spends most of its time on the ball (46% 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.

Pablo Maffeo ↔ José Luis Gayà: 71 passes, 0.2 combined xTJosé Luis Gayà ↔ César Tárrega: 67 passes, -0.4 combined xTJosé Luis Gayà ↔ Filip Ugrinic: 56 passes, 0.0 combined xTJosé Luis Gayà ↔ Guido Rodríguez: 53 passes, 0.0 combined xTJosé Gayà ↔ Guido Rodríguez: 50 passes, -0.0 combined xTStole Dimitrievski ↔ José Luis Gayà: 48 passes, -0.0 combined xTGuido Rodríguez ↔ César Tárrega: 43 passes, -0.3 combined xTJosé Gayà ↔ José Luis Gayà: 43 passes, -0.2 combined xTPablo Maffeo ↔ Guido Rodríguez: 40 passes, 0.8 combined xTStole Dimitrievski ↔ Guido Rodríguez: 40 passes, 0.1 combined xTJosé Luis Gayà ↔ Javi Guerra: 40 passes, 0.4 combined xTGuido Rodríguez ↔ Javi Guerra: 40 passes, 0.6 combined xTStole Dimitrievski ↔ César Tárrega: 38 passes, -0.4 combined xTPablo Maffeo ↔ Filip Ugrinic: 35 passes, 0.5 combined xTJosé Gayà ↔ Javi Guerra: 31 passes, 1.0 combined xTJosé Gayà ↔ Arnaut Danjuma: 31 passes, 1.6 combined xTFilip Ugrinic ↔ Jesús Vázquez: 28 passes, 0.7 combined xTArnaut Danjuma ↔ Jesús Vázquez: 28 passes, 0.8 combined xTPablo Maffeo ↔ Javi Guerra: 28 passes, 1.1 combined xTPablo Maffeo ↔ César Tárrega: 28 passes, -0.2 combined xTGuido Rodríguez ↔ Filip Ugrinic: 24 passes, 0.3 combined xTJosé Gayà ↔ Filip Ugrinic: 23 passes, -0.1 combined xTStole Dimitrievski ↔ Pablo Maffeo: 23 passes, 1.0 combined xTJosé Luis Gayà ↔ Jesús Vázquez: 21 passes, 0.3 combined xTStole Dimitrievski — isolate this player's connectionsDimitrievsJosé Luis Gayà — isolate this player's connectionsGayàArnaut Danjuma — isolate this player's connectionsDanjumaJulen Agirrezabala — isolate this player's connectionsAgirrezabaJavi Guerra — isolate this player's connectionsGuerraFilip Ugrinic — isolate this player's connectionsUgrinicPablo Maffeo — isolate this player's connectionsMaffeoJosé Gayà — isolate this player's connectionsGayàHugo Duro — isolate this player's connectionsDuroDavid Otorbi — isolate this player's connectionsOtorbiCésar Tárrega — isolate this player's connectionsTárregaJesús Vázquez — isolate this player's connectionsVázquezGuido Rodríguez — isolate this player's connectionsRodríguezAndré Almeida — isolate this player's connectionsAlmeidaUnai Núñez — isolate this player's connectionsNúñezAliou Dieng — isolate this player's connectionsDieng
width = passes between the paircolour = xT per pass: low → high

Top 10 combinations

Maffeo ↔ Gayà
71p · 0.2xT
Gayà ↔ Tárrega
67p · -0.4xT
Gayà ↔ Ugrinic
56p · 0.0xT
Gayà ↔ Rodríguez
53p · 0.0xT
Gayà ↔ Rodríguez
50p · -0.0xT
Dimitrievski ↔ Gayà
48p · -0.0xT
Rodríguez ↔ Tárrega
43p · -0.3xT
Gayà ↔ Gayà
43p · -0.2xT
Maffeo ↔ Rodríguez
40p · 0.8xT
Dimitrievski ↔ Rodríguez
40p · 0.1xT
Vision AI Model Insight
Busiest connection: Pablo Maffeo ↔ José Luis Gayà (71 passes). Most dangerous per pass: José Gayà ↔ Arnaut Danjuma (0.05 xT/pass over 31 passes) — the combination that hurts opponents most when it fires, not just the one used most.

Touch Density — where Valencia had the ball

Every touch across 99 matches. Brighter means more touches.

Which Zones Do They Attack Through?

The question
Across the whole pitch, where does Valencia 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
4542
ACTIONS
4%6%14%6%5%9%9%11%9%7%7%3%2%3%5%PASSES
Carries
the ball moved with a player
1132
ACTIONS
2%6%11%6%3%11%9%11%9%10%8%3%1%2%6%CARRIES
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (13.3% of all actions). 62% of actions run through the inside lanes (centre + both half-spaces) versus 38% down the two wings — an inside-dominant, half-space build. By third: 33% defensive, 47% middle, 20% 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. Valencia leaned on their right (43%). The bars under the pitch put the league’s share beside theirs.

36%Left side21%Middle43%Right sideATTACKING →
Valencia
36%21%43%
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. Valencia made 326 this season (32.6 a match); 36% came into the right wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.

Left wing: 87 entries (27%)8727%LEFT WINGLeft half-space: 49 entries (15%)4915%LEFT HALF-SPACECentre: 31 entries (10%)3110%CENTRERight half-space: 43 entries (13%)4313%RIGHT HALF-SPACERight wing: 116 entries (36%)11636%RIGHT WINGATTACKING ↑
ChannelEntriesPer matchShareLeague share
Left wing878.727%29%
Left half-space494.915%15%
Centre313.110%12%
Right half-space434.313%15%
Right wing11611.636%29%
Build-up2 sections

Build-Up — the pass map

The football question
How does Valencia 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.

1541build-up passes attempted
77%completed
28%reach the middle third
1%go long into the final third

Pass types

462CB · 39%
71Long Wide · 6%
11Long Central · 1%
460Wide → FB · 39%
178Central · 15%

Sequence success — build-up

102build-up sequences this season
13%succeed — reach the next third or a shot
44%turned over with nothing to show
CB462 · 39%
left: 247 passes, most from Haas247right: 215 passes, most from Gayà215
Long Wide71 · 6%
right: 42 passes, most from Dimitrievski42left: 29 passes, most from Dimitrievski29
Long Central11 · 1%
left: 6 passes, most from Dimitrievski6right: 5 passes, most from Dimitrievski5
Wide → FB460 · 39%
left: 244 passes, most from Dimitrievski244right: 216 passes, most from Dimitrievski216
Central178 · 15%
left: 94 passes, most from Dimitrievski94right: 84 passes, most from Dimitrievski84
◆ Vision AI Insight
Valencia build predominantly down the left, with Dimitrievski as the fulcrum (240 build-up passes). Only 29% 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 → LHS def (76×).

Pass Explorer

Every pass of Valencia’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.

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. 388 progressive passes across 10 matches (38.8/game).

Origin lane

Right wing
35%
Right half-space
12%
Central
14%
Left half-space
10%
Left wing
29%
Progression is right-dominant: 47% right side · 14% central · 39% left.

Who generates it

José Luis Gayà
37 · 10%
Pablo Maffeo
34 · 9%
Stole Dimitrievski
32 · 8%
Arnaut Danjuma
28 · 7%
Filip Ugrinic
28 · 7%
Top two — José Luis Gayà & Pablo Maffeo — account for 18% of all progression.
PROGRESSION
38.8 prog passes/game
mostly right
→
PENETRATION
26% reach final third
19% reach the box
→
THREAT
the other 74% is recycled
progress ≠ danger
What came of it. 26% of progressive passes reached the final third and 19% the box; the rest was recycled in front of the block. 18% 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 wingefficient
Right half-spacebalanced
Centralsterile
Left half-spacesterile
Left wingefficient

Progression — the pass map

The football question
Once Valencia 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.

2092progression passes attempted
85%completed
14%break into the final third
13%go backward into the defensive third

Pass types

596CB · 34%
80Long Wide · 5%
9Long Central · 1%
841Wide → FB · 47%
249Central · 14%

Sequence success — progression

176progression sequences this season
25%succeed — reach the next third or a shot
44%turned over with nothing to show
CB596 · 34%
left: 322 passes, most from Gayà322right: 274 passes, most from Gayà274
Long Wide80 · 5%
right: 48 passes, most from Rodríguez48left: 32 passes, most from Gayà32
Long Central9 · 1%
right: 6 passes, most from Maffeo6left: 3 passes, most from Martínez3
Wide → FB841 · 47%
right: 472 passes, most from Ugrinic472left: 369 passes, most from Gayà369
Central249 · 14%
right: 125 passes, most from Ugrinic125left: 124 passes, most from Ugrinic124
◆ Vision AI Insight
Valencia progress predominantly down the left, with Gayà the busiest midfield outlet (258 progression passes). Only 14% of passes that start in midfield actually break the final-third line — the rest (73%) is recycled back into midfield or (13%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is RW mid → RHS mid (101×) — 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)
12%
Progressive
1%
Neutral / sideways
50%
Safe / backward
36%
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.

Carries Map — progressive ball-carries, squad-wide

The question
Where does Valencia actually progress the ball with their feet, not a pass?

238 progressive carries this season across the whole squad (22% of 1079 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 43m. Most active carrier: Danjuma (29). Filter to one player below.

First (72)Second (67)Third (57)Fourth (42)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 Valencia's chances actually come from?

Every shot sorted twice. First by the kind of attack: an attacking transition (the shot came within 15 seconds of winning the ball), a settled attack (open play after the team had the ball), or a set piece. Then by how it was set up: a cross, a cut-back, a long ball, a pass into the box, or no pass at all (the player created it himself). So a cut-back from an attacking transition is counted apart from a cut-back in a settled attack.

109shots
9.7xG
0.09xG per shot
3big chances (0.3+ xG)
6goals
#17key passes / game in the league
#19box entries / game in the league
Attacking transition: 24 shots (22%)22%24Settled attack: 61 shots (56%)56%61Set piece: 24 shots (22%)22%24109SHOTS
Kind of attack, then how the shot was set upShotsGoalsxGxG / shot
Attacking transition 22% of shots2432.720.11
Cross100.060.06
Cut-back100.260.26
Long ball710.780.11
Pass into the box / short pass1110.970.09
Own creation (carry, dribble, rebound)410.640.16
Settled attack 56% of shots6125.000.08
Cross1301.090.08
Cut-back510.530.11
Long ball100.030.03
Pass into the box / short pass2011.740.09
Own creation (carry, dribble, rebound)2201.620.07
Set piece 22% of shots2411.960.08
Corner2101.120.05
Free kick200.050.02
Penalty110.790.79

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

PlayerSet-upsxG createdGoals
Javi Guerra71.152
David Otorbi50.730
Luis Rioja70.600
José Gayà70.500
Arnaut Danjuma70.490

Who takes them

PlayerShotsxGGoals
Arnaut Danjuma181.430
Javi Guerra171.190
Hugo Duro101.140
José Luis Gayà30.881
David Otorbi80.871
Vision AI Model Insight
The biggest source of Valencia's chances, by xG, is settled attack (5.0 of 9.7 xG, 61 of 109 shots), mostly pass into the box / short pass. 24 of the 109 shots (22%) came within 15 seconds of winning the ball. 24 of the 109 shots came from set pieces; 6 goals from 9.7 xG (-3.7).

Chance Creation — the pass map

The football question
How does Valencia 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

6CB · 9%
6Long Wide · 9%
10Long Central · 14%
24Wide → FB · 35%
23Central · 33%

Sequence success — final-third

115final-third sequences this season
23%succeed — produce a shot
46%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
CB6 · 9%
left: 4 passes, most from Haas4right: 2 passes, most from Gayà2
Long Wide6 · 9%
right: 4 passes, most from Guerra4left: 2 passes, most from Danjuma2
Long Central10 · 14%
left: 6 passes, most from Ugrinic6right: 4 passes, most from Guerra4
Wide → FB24 · 35%
left: 13 passes, most from Gayà13right: 11 passes, most from Guerra11
Central23 · 33%
right: 14 passes, most from Guerra14left: 9 passes, most from Gayà9

Who creates — volume × threat

12Guerra
9Danjuma
8Gayà
6Rioja
5Elliott
5Ugrinic
5Otorbi
69key passes #17 of 20
8.8box entries/game #19 of 20
25.9final-3rd entries/game #18 of 20
0.97xG/game #17 of 20
6goals #18 of 20
-3.7finishing vs xG #18 of 20
◆ Vision AI Insight
Valencia lean left — 43% of their key passes come from that flank and its half-space (30 of 69), most often from Gayà (8). They funnel chances into the c of the final third, most often via RW att → C att (10 key passes, most often from Rioja). Guerra is the primary source overall. They generate 0.97 xG a game and finish it wasteful — they under-perform their xG, led by Umar Sadiq (1G), José Luis Gayà (1G), Dani Raba (1G).

Crosses & Cutbacks — squad-wide

The question
How does Valencia deliver into the box from wide areas, and what comes of it?

141 crosses: 43 found a team-mate (30%), 12 led to a shot (9%). 23 cut-backs: 10 found a team-mate (43%), 6 led to a shot (26%). 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 Valencia actually cross from?

141 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. 24% come from one territory, the byline right wing; 7 come from the half-spaces and 0 from the centre.

deep right wing: 8 crosses (6%)6%8deep right half-space: 0 crosses (0%)deep centre: 0 crosses (0%)deep left half-space: 0 crosses (0%)deep left wing: 8 crosses (6%)6%8advanced right wing: 33 crosses (23%)23%33advanced right half-space: 1 crosses (1%)1%1advanced centre: 0 crosses (0%)advanced left half-space: 2 crosses (1%)1%2advanced left wing: 23 crosses (16%)16%23byline right wing: 34 crosses (24%)24%34byline right half-space: 1 crosses (1%)1%1byline centre: 0 crosses (0%)byline left half-space: 3 crosses (2%)2%3byline left wing: 28 crosses (20%)20%28
TerritoryCrossesShareLed to a shot
byline · right wing3424%1
advanced · right wing3323%5
byline · left wing2820%3
advanced · left wing2316%2
deep · right wing86%0
deep · left wing86%1
byline · left half-space32%0
advanced · left half-space21%0
advanced · right half-space11%0
byline · right half-space11%0
Finishing3 sections

Shot Map

109 shots for 9.7 xG (0.97/game, #17 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.

Low-output attack. 10.9 shots/game at 0.089 xG/shot. Box entries 9/game (#19). Threat created 9.3 xT/game (#18).

Goal Sequences

The move behind each of Valencia’s 7 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 — 7 goals traced.

How Do They Score?

The question
Where do the goals actually come from — open play, dead balls, which foot?

Every goal Valencia scored across the loaded matches, broken down by how it was created and finished.

By situation

Open play
5 · 83%
Set pieces
0 · 0%
Penalties
1 · 17%

By finish

Right foot
6 · 100%
Left foot
0 · 0%
Header
0 · 0%
Vision AI Model Insight
6 goals scored. 83% come in open play; set pieces add 0%. 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

69 of 195 pass attempts lost here (35%).35%69/195Maffeo58 of 255 pass attempts lost here (23%).23%58/255Dimitrievs133 of 625 pass attempts lost here (21%).21%133/625Dimitrievs44 of 255 pass attempts lost here (17%).17%44/255Dimitrievs55 of 211 pass attempts lost here (26%).26%55/211Haas86 of 418 pass attempts lost here (21%).21%86/418Maffeo58 of 427 pass attempts lost here (14%).14%58/427Gayà67 of 502 pass attempts lost here (13%).13%67/502Guerra57 of 421 pass attempts lost here (14%).14%57/421Guerra49 of 324 pass attempts lost here (15%).15%49/324Guerra86 of 315 pass attempts lost here (27%).27%86/315Maffeo48 of 137 pass attempts lost here (35%).35%48/137Otorbi17 of 88 pass attempts lost here (19%).19%17/88Gayà34 of 121 pass attempts lost here (28%).28%34/121Danjuma74 of 248 pass attempts lost here (30%).30%74/248Danjumaattacking →

How they lose it

Incomplete pass — attacking third
259
Failed forward pass
170
Failed take-on
96
Lost in the defensive third
359
Their weakest zone is the right wing in the defensive third: 35% of 195 pass attempts there are lost (69 times). Separately, 28% 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.

Pressing2 sections

Pressing — the full picture

The football question
How hard does Valencia 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.

7
Pressing Index
/100 · passive
Intensity0
PPDA, high-press share, high-zone actions
Height0
how high up the pitch they defend
Effectiveness0
high recoveries & high-regain share
Disruption35
opponent completion & progression allowed

Every defensive action & where it happens

Where they win the ball back — by lane

RW
18%
RHS
21%
C
26%
LHS
20%
LW
16%
By third (high / mid / low regain)
Def 55%
Mid 34%
Att 12%
Read
Ranked #20 of 20 for press intensity, this is a high press. Note the tension: 55% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (17% high-press share) means that when they do defend, it is often deep. Of recoveries, 43% are won high up the pitch.

Every pressing metric, ranked in the league

metricvaluerankmeaning
PPDA (opp passes per def action)—#20/20lower = more intense; rank is what matters
Defensive actions / game152#8/20
High-press share17%#20/20def actions won high up
Defensive-action height (0–100)34.7#20/20avg pitch height of actions
High recoveries / game17.3#20/20ball won in mid+att third
High-recovery share43%#20/20share of recoveries won high
Opponent completion allowed84%#12/20lower = more disruptive
Opponent progressive allowed9.8%#14/20of 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 Valencia win it back with a defensive action?

Counted over the 333 opposition possessions that Valencia 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 Valencia step in. Valencia win it after 7.2 opponent passes in the first half-hour and after 6.4 after the hour mark (sooner).

PASSES THEY GET
6.5passes
median 4 · before Valencia win it
TIME THEY KEEP IT
19sec
median 9s · 33.3 wins per game
How many passes the opponent got in before the ball was won
33%
29%
16%
23%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
7.5
22s
15–30′
6.8
20s
30–45+′
5.9
16s
45–60′
5.6
17s
60–75′
7.6
22s
75–90+′
5.7
16s
average passesaverage seconds

Attitude in each third

Every other style number here says how much Valencia 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 Valencia 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) 1,541 passes

nothing unusual in this zone

Width of use-0.5819.81
Wide-channel share-0.510.27
Side bias+0.060.37
Pass length+0.0222.78
Long-ball share+0.010.23
Forward gain per pass+0.0911.85
Backward-pass share+0.260.21
Deep-pass share+0.280.31
Completion-0.340.77
Seconds between passes+0.123.40
Side used

left 27% · central 48% · right 25%

Progression (middle third) 2,092 passes

nothing unusual in this zone

Width of use-0.3924.75
Wide-channel share-0.470.37
Side bias-0.70-2.71
Pass length+0.3917.77
Long-ball share+0.360.12
Forward gain per pass+0.073.71
Backward-pass share+0.110.34
Deep-pass share+0.190.17
Completion-0.120.84
Seconds between passes+0.013.20
Side used

left 31% · central 32% · right 38%

Final third 909 passes

nothing unusual in this zone

Width of use+0.6833.28
Wide-channel share+0.710.65
Side bias-0.38-3.16
Pass length+0.3716.04
Long-ball share+0.240.11
Forward gain per pass+0.031.08
Backward-pass share+0.380.41
Deep-pass share+0.240.10
Completion+0.080.70
Seconds between passes+0.273.60
Side used

left 40% · central 12% · right 48%

Reference measured across roughly 3,500 match-teams in this competition, per third, so the comparison is with Valencia'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 Valencia 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 share18%
#10 of 20 · reaches final third in ≤3 passes
Patient build-up share26%
#13 of 20 · spells of 6+ passes
Tempo (possession length)17.8s
#10 of 20 · shorter = faster tempo
Passes per possession4.3
#13 of 20
Counter-attack shots /game1.10
#6 of 20 · shot within 12s of a regain in own half
Press→shot /game2.67
#14 of 20 · shot within 8s of a high regain
Speed to final third after regain11.9s
#6 of 20 · lower = faster break

Sequence success — attacking transition

16attacking transition sequences this season
19%succeed — produce a shot
50%turned over with nothing to show

Sequence success — defensive transition

34defensive transition sequences this season
50%succeed — reach the next third or a shot
12%turned over with nothing to show
Vision AI Model Insight
Valencia are a direct, fast-break side: 18% of possessions reach the final third in 3 passes or fewer (#10 of 20), against 26% built patiently over 6+ passes (#13 of 20). Winning the ball back leads to a shot inside 12 seconds 1.10 times a game (#6), and a high regain converts to a shot within 8 seconds 2.67 times a game (#14 of 20) — not yet a major source of chances.
Defending the box2 sections

Vulnerability Map — how opponents hurt them

The report flipped: where do opponents create their threat against Valencia? 539 opponent progressive passes and 155 shots faced (13.5 xG against) across the season.

Opponent threat by lane (attacking into Valencia)

Right wing
28%
Right half-space
15%
Central
15%
Left half-space
13%
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 Valencia actually come from — open play, dead balls, and who supplies them?

Every goal Valencia conceded across the loaded matches — the opponent's shots in Valencia'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

← opponent shot at own goal

Every opponent key pass against them (113 total)

3%4%3%4%10%21%25%13%14%Ángel OrtizCucho HernándezAntonyPablo FornalsHéctor BellerínTroy ParrottFran GarcíaCucho HernándezPablo FornalsPablo FornalsRodrigo RiquelmeJunior FirpoMiguel RománJavi GalánHugo ÁlvarezMiguel RománIago AspasWilliot SwedbergLuismi CruzMario SorianoGiacomo QuagliataGiacomo QuagliataBil NsongoPierre-Emerick AubameyangMario SorianoBil NsongoTeun GijselhartFermín LópezAnthony GordonLamine YamalAnthony GordonLamine YamalLamine YamalFermín LópezRaphinhaFermín LópezFermín LópezLamine YamalJules KoundéMikel OyarzabalSergio GómezMikel OyarzabalLuken BeitiaJob OchiengJon AramburuLuka SucicLuka SucicSergio GómezMikel OyarzabalMikel OyarzabalLuka SucicCarlos SolerGonçalo GuedesCarlos SolerGabriel SuazoFélix CorreiaFélix CorreiaFélix CorreiaIsaac RomeroGabriel SuazoRobbie UreGiorgi KochorashviliDenis SuárezDenis SuárezÁngel PérezÁngel PérezPablo IbáñezNahuel TenagliaLucas BoyéMiguel RodríguezAnder GuevaraNicolás ValentiniMiguel RodríguezDani OlmoMarc BernalDani OlmoMarc BernalIlias AkhomachGerard MorenoAlex FreemanTajon BuchananTajon BuchananIlias AkhomachTajon BuchananCarlos MaciáTajon BuchananAlex FreemanPape GueyePape GueyeGeorges MikautadzeSergi CardonaGerard MorenoAlberto MoleiroMatteo PratiIván MartínIñigo VicenteJorge SalinasIñigo VicenteSergio CanalesIñigo VicenteIñigo VicenteIñigo VicenteIñigo VicenteIñigo VicenteAarón MartínMatteo PratiIñigo VicenteAymeric LaporteÁlex BerenguerPeio CanalesRobert NavarroAymeric LaporteBeñat Gerenabarrena← own goal

By situation

Open play
13 · 87%
Set pieces
1 · 7%
Penalties
1 · 7%
Vision AI Model Insight
15 goals conceded. 87% come in open play; set pieces account for only 7%, so dead-ball defending is not the main issue. 13% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the centre of the attacking third (25% of key passes faced) — that is the zone to shut off.
Context

Shape and tactics

Set pieces, strengths and weaknesses, and who they resemble.

Premium
Tactical Phase Read
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.
Subscribe →

Set-Piece Threat

How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.

Open play
5 g · 7.7 xG
Set pieces
0 g · 1.2 xG
Penalties
1 g
0% of goals come from set pieces (0 of 6), worth 1.2 xG from 23 shots. Set pieces are a secondary threat; the danger is in open play.

Where do Valencia's corners go?

42 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 (17)

6%24%18%6%18%18%
Delivered into the box 88%Short 12%

Left side (25)

40%20%4%4%4%24%4%
Delivered into the box 100%Short 0%

Where opponents attack Valencia from set pieces

17 shots from opponent corners against Valencia, 1 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 (8)

12%12%25%38%12%
Shot 8Goals 1

Left flag (9)

22%44%22%11%
Shot 9Goals 0

Tactical Strengths & Weaknesses

Strengths (top-third vs league)
  • none stand out
Weaknesses (bottom-third vs league)
  • press intensity (PPDA) — 6.88 (0th pct)
  • field tilt % — 38.55 (0th pct)
  • box entries /game — 8.80 (5th pct)
  • progression /game — 38.80 (10th pct)
  • threat created /game — 9.30 (10th pct)

Style Archetype & Similar Teams

Team archetype: Direct / counter high-press. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.

Getafe
80%
Deportivo
79%
Levante
67%
Espanyol
66%
Malaga
64%

Performance vs Opponent Styles

The question
Not just how Valencia 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 Valencia's own passing behaviour to the result.

Results

opponent typegoals for/ggoals against/gpoints/g
vs high-pressing opponents (3m)1.001.670.33
vs mid-block opponents (3m)0.672.670.33
vs low-block opponents (4m)0.501.001.00

Behaviour — how Valencia actually play against each

opponent typeretentiondirectness (long balls)prog. passes/gxT/gbox entries/g
vs high-pressing opponents78%16%4010.215.0
vs mid-block opponents75%18%368.16.3
vs low-block opponents82%13%409.56.0
Vision AI Model Insight
Facing a high press, retention drops to 78% vs 82% against a low block (4pt lower under pressure), and directness (long-ball share) sits at 16% when pressed vs 13% against a low block — a mild adjustment, not a wholesale change.

Scouting Summary — the team in brief

In brief. Valencia are territorially-dominated with a aggressive high-press. Their attack creates 0.97 xG a game and they concede 1.35 a game. [Event-data based — no tracking, so off-ball structure and marking scheme need video.]
Squad

Players

Who drives the numbers.

Against Their Own Norm

For each of ten match numbers, the one match this season that departed furthest from Valencia’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.

Valencia
across 10 matches this season
PPDAvs Barcelona · 0-5 · 2026-09-0616.3avg 6.9
Progressive carriesat Deportivo · 1-3 · 2026-08-3070avg 40
Final-third entriesat Deportivo · 1-3 · 2026-08-3055avg 33
Field tiltvs Barcelona · 0-5 · 2026-09-0616%avg 39%
Defensive actionsvs Athletic Club · 0-0 · 2026-10-17188avg 152
Progressive passesvs Barcelona · 0-5 · 2026-09-0622avg 39
Expected goalsat Sevilla · 0-1 · 2026-09-110.14avg 0.97
Passesat Deportivo · 1-3 · 2026-08-30605avg 454

On-Ball Value — who moved the game

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 Valencia’s last 10 matches added up: where the value came from, who produced it, and the six biggest single moves. OBV only measures what a player does with the ball: it shows who added the most on-ball value, not who was the most important player (defending off the ball, positioning and pressing are not in it).

+12.5on-ball value, 10 matches
Where the value came from
Passes4542 actions+3.30
Carries1079 actions+0.62
Dribbles180 actions+0.46
Shots109 actions+4.64
Ball wins582 actions+3.49
Most on-ball value (OBV)ActionsOBVper 100
José Luis Gayà705+1.83+0.26
Stole Dimitrievski457+1.41+0.31
Javi Guerra455+1.40+0.31
Arnaut Danjuma322+1.28+0.40
David Otorbi204+1.12+0.55
José Gayà423+0.76+0.18
Luis Rioja168+0.68+0.41
Guido Rodríguez467+0.63+0.13
123456
Biggest single movesOBV
1  José Luis Gayà · shot+0.845
2  Umar Sadiq · ball win+0.561
3  Dani Raba · shot+0.278
4  Stole Dimitrievski · pass_fail+0.251
5  Luis Rioja · pass+0.216
6  Arnaut Danjuma · shot+0.215

Set Pieces by Player

Who delivers Valencia’s dead balls and who finishes them this season. 42 corners taken, most by Filip Ugrinic (12); 23 shots from corners and free kicks, 0 goals. “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.

PlayerCorners takenInto the boxSet-piece shotsGoalsxGFree-kick shotsPenalties
Arnaut Danjuma119 (82%)3—0.08——
Javi Guerra119 (82%)2—0.051—
César Tárrega——5—0.29——
Filip Ugrinic1212 (100%)——0.00——
Hugo Duro——4—0.33——
Dani Raba10 (0%)2—0.10——
Luis Rioja33 (100%)1—0.03——
Mouctar Diakhaby——2—0.14——
José Luis Gayà——1—0.0211/1
Pablo Maffeo——2—0.08——
Ryunosuke Sato33 (100%)——0.00——
Aaron Mayol——1—0.05——
Harvey Elliott11 (100%)——0.00——

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.

playerposminVision AI Scorecapability blocks
Guido RodríguezDM5966.8Ball-Winning 66%Breaking Pressure 51%Progression 37%
Pablo MaffeoFB6036.2Ball-Winning 60%Breaking Pressure 59%Wide Delivery 34%Ball-Carrying 24%
Javi GuerraCM8314.8Ball-Carrying 56%Successful Dribble 54%Chance Creation 34%Progression 33%
José GayàFB6444.2Breaking Pressure 59%Ball-Winning 40%Wide Delivery 36%Ball-Carrying 34%
César TárregaCB5404.0Aerial & Box Defending 46%Breaking Pressure 45%Ball-Winning 44%Ball-Carrying 28%
Filip UgrinicCM6233.9Successful Dribble 58%Ball-Carrying 44%Chance Creation 43%Progression 38%
José Luis GayàCB8753.5Breaking Pressure 66%Progression 58%Ball-Winning 53%Ball-Carrying 24%
Justin de HaasCB4663.4Ball-Winning 35%Aerial & Box Defending 31%Progression 22%Ball-Carrying 17%
Stole DimitrievskiGK9543.2Shot-Stopping 32%
Arnaut DanjumaW7851.9Ball-Carrying 45%Box Threat 43%Chance Creation 26%Wide Delivery 15%

Top Creators

Chance creation leaders — key passes /90 and box entries.

playerposminkey P /90box entriesxT
Arnaut DanjumaM7851.03165.5
Javi GuerraM8311.30106.7
José GayàD6441.1285.7
Filip UgrinicM6230.72106.3
David OtorbiM3841.1782.3
Pablo MaffeoD6030.4556.3
Hugo DuroF4490.6020.7
José Luis GayàD8750.31211.0

Wide Delivery Leaders

Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.

playerposmincrosses (completed)cutbacks (completed)
Pablo MaffeoFB60311 (18%)6 (17%)
José GayàFB6445 (0%)8 (50%)
David OtorbiW3844 (50%)8 (50%)
Arnaut DanjumaW7853 (100%)5 (60%)
Jesús VázquezFB3921 (0%)3 (100%)
Arnau MartínezFB2891 (100%)0

Defensive Volume Leaders

Who does the defensive work — tackles, interceptions, recoveries.

playerposmindef actionstacklesinterceptrecoveries
José Luis GayàD875163171243
Guido RodríguezM596152241144
Pablo MaffeoD603121101328
César TárregaD540117111019
José GayàD64410317230
Javi GuerraM83110013336
Filip UgrinicM6239316523
Justin de HaasD466795614

Full Squad Data

Every player with 100+ minutes (23 players).

playerposappsmingoalsxGkey PprogdefxT
Stole DimitrievskiG1095400.0132249.3
José Luis GayàD1087510.933716311.0
Javi GuerraM1083101.212221006.7
Arnaut DanjumaM1078501.4928435.5
José GayàD864400.38251035.7
Filip UgrinicM1062300.4528936.3
Pablo MaffeoD960300.13341216.3
Guido RodríguezM759600.11111525.1
César TárregaD754000.30151174.1
Justin de HaasD646600.0310794.2
Hugo DuroF1044901.133640.7
Jesús VázquezD839200.1022673.7
David OtorbiM938410.9518452.3
Mouctar DiakhabyD534500.1014633.3
Ryunosuke SatoM530600.4010371.6
Arnau MartínezD628900.0020303.7
Luis RiojaM626810.4628244.7
Aliou DiengM626700.018522.1
Harvey ElliottM619400.159112.3
Aaron MayolM219210.114341.6
Dani RabaM417810.427421.6
Umar SadiqF317410.911240.2
Iker CórdobaD312300.002261.0

Player Role Architecture

The question
Who does what — and what tactical job does each key player actually perform?

The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.

Stole Dimitrievski
Goalkeeper · Goalkeeper
minutes954
goals · xG0 · 0.0
prog passes /903.0
key passes /900.09
def actions /902.3
pass accuracy64%
José Luis Gayà
Stopper / marker · Defender
minutes875
goals · xG1 · 0.9
prog passes /903.8
key passes /900.31
def actions /9016.8
pass accuracy88%
Javi Guerra
Ball-winner / destroyer · Midfielder
minutes831
goals · xG0 · 1.2
prog passes /902.4
key passes /901.30
def actions /9010.8
pass accuracy70%
Arnaut Danjuma
Box-to-box midfielder · Midfielder
minutes785
goals · xG0 · 1.4
prog passes /903.2
key passes /901.03
def actions /904.9
pass accuracy73%
José Gayà
Stopper / marker · Defender
minutes644
goals · xG0 · 0.3
prog passes /903.5
key passes /901.12
def actions /9014.4
pass accuracy87%
Filip Ugrinic
Ball-winner / destroyer · Midfielder
minutes623
goals · xG0 · 0.4
prog passes /904.0
key passes /900.72
def actions /9013.4
pass accuracy84%
Pablo Maffeo
Ball-playing defender · Defender
minutes603
goals · xG0 · 0.1
prog passes /905.1
key passes /900.45
def actions /9018.1
pass accuracy71%
Guido Rodríguez
Ball-winner / destroyer · Midfielder
minutes596
goals · xG0 · 0.1
prog passes /901.7
key passes /900.15
def actions /9023.0
pass accuracy83%
César Tárrega
Stopper / marker · Defender
minutes540
goals · xG0 · 0.3
prog passes /902.5
key passes /900.00
def actions /9019.5
pass accuracy86%

Recruitment Intelligence — profiles to sign

The question
If you were sporting director, which player profiles would move the needle most?

Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.

Need — bottom-third: press intensity (PPDA) (0th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (6.88, 0th percentile vs the league).
Need — bottom-third: field tilt % (0th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (38.55, 0th percentile vs the league).
Need — bottom-third: box entries /game (5th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (8.80, 5th percentile vs the league).
Vision AI · building report