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Team reportLa Liga 2026

Rayo Vallecano

A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #16 of 20 on 9 points (2-3-4, 12:20). Tactical profile below is built from 9 matches of ball-by-ball event data, contextualised against the league.

balanced-territoryaggressive high-pressmoderate attack
D
W
D
D
W
W
L
D
L
W
L
W
D
D
L
9
points
#16 of 20 · 9 games
12:20
goals
-8 GD
2-3-4
record
W-D-L
1.00
points/game
#16 in the league
1.25
xG for/game
rank #10
1.69
xG against/game
rank #18
#2
press rank
of 20 · most aggressive
47%
field tilt
#12
Rayo Vallecano
League average
Expected goals for / game
1.251.35
Expected goals against / game
1.691.35
Field tilt
47%50%
Pass retention
81%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 Rayo Vallecano and how good was the season?
Read. Rayo Vallecano currently sit #16 of 20 on 9 points (2W-3D-4L, 1.00 pts/game), scoring 12 and conceding 20 for a goal difference of -8. On the ball they are a balanced-territory team (47% field tilt, #12 in the league); off it they defend with a aggressive high-press (#2 of 20 for press intensity). Across the 9 matches of event data, they create 1.25 xG/game (#10) and concede 1.69 (#18), a net of -0.44 xG/game — the underlying performance matches the actual goal difference.

Season Context — the league table

The question
Where did Rayo Vallecano actually finish, and against whom?

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

#teamPWDLGFGAGDPts
13Racing Santander103251526-1111
14Levante102441619-310
15Elche102441417-310
16Rayo Vallecano92341220-89
17Getafe10235515-109
18Espanyol102261214-28
19Valencia10136717-106

Match Momentum — when they create and concede danger

The question
Across a whole game, which periods does Rayo Vallecano 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+'+0.41-2.49
Vision AI Model Insight
Rayo Vallecano tend to fade after a strong start — first-half net xG -1.78, second-half -2.18. Their strongest period is 0-15' (net +0.41 xG); their most dangerous period to face is 16-30' (net -2.49 xG against them).

xG Race — the season, match by match

Expected goals piling up over 9 matches: Rayo Vallecano 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 (-4.0 xG). Hover a point for that match.

05111611.315.2Sevilla (A) 1-2 · xG 1.49 to 2.33Alaves (H) 1-1 · xG 0.52 to 1.26Barcelona (A) 2-5 · xG 1.04 to 2.31Racing Santander (H) 3-2 · xG 1.14 to 0.56Real Madrid (A) 1-4 · xG 1.18 to 2.87Espanyol (H) 2-1 · xG 1.57 to 1.71Osasuna (A) 1-1 · xG 1.27 to 0.75Getafe (A) 1-1 · xG 1.51 to 0.74Elche (H) 0-3 · xG 1.54 to 2.72M1M2M3M4M5M6M7M8M9
Rayo VallecanoOpponents against Rayo Vallecano

Tactical DNA

The football question
In five genes, what is Rayo Vallecano'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.

38
Build-Up
possession control from the back
22
Progression
moving the ball upfield with threat
45
Creation
manufacturing chances
65
Press
winning the ball high & hard
10
Solidity
resisting the opponent's threat
Genetic identity
Rayo Vallecano are defined most by their Press DNA (65/100 · average at winning the ball high & hard), and least by their Solidity DNA (10/100). 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).

Possess52Disrupt36Finish35Press59Defend68
Possess
Deep buildup
17%
Possession
78%
Field tilt
61%
Disrupt
Central progression ~proxy
39%
Dribble tendency
22%
Progressive passes
48%
Finish
Final-third patience
4%
Shot quality
30%
Open-play xG
70%
Press
Forward press ~proxy
87%
High regains
48%
Pressing efficiency ~proxy
43%
Defend
Def-mid press ~proxy
91%
High line ~proxy
26%
PAdj defensive actions
87%
Rayo Vallecano is defined most by Defend (68% in the league) and weakest on Finish (35%). 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 Rayo Vallecano actually control, relative to the rest of the league?

Field tilt = share of final-third touches between the two sides across Rayo Vallecano'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; Rayo Vallecano 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: 50% tilt, 1.56 pts/gAthletic Club: 60% tilt, 1.33 pts/gOsasuna: 45% tilt, 1.22 pts/gAlaves: 49% tilt, 1.20 pts/gVillarreal: 64% tilt, 1.20 pts/gCelta Vigo: 50% tilt, 1.20 pts/gDeportivo: 44% 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/gRayo Vallecano39%50%61%73%0.51.22.02.7FIELD TILT %POINTS / GAME
Vision AI Model Insight
Rayo Vallecano post 47% field tilt, ranking #12 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.00 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 Rayo Vallecano has the ball, how much of that time is spent building, progressing and creating?

The share of Rayo Vallecano'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: 27.5% of the time on the ball28%Progression: 46.0% of the time on the ball46%Chance creation: 24.4% of the time on the ball24%Attacking transition: 2.1% of the time on the ball46%PROGRESSION
PhaseShare of the time
Build-up27.5%
Progression46.0%
Chance creation24.4%
Attacking transition2.1%
Vision AI Model Insight
Progression is where Rayo Vallecano 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.

Unai López ↔ Pathé Ciss: 152 passes, 0.8 combined xTFlorian Lejeune ↔ Unai López: 124 passes, -0.3 combined xTFlorian Lejeune ↔ Pathé Ciss: 118 passes, -0.6 combined xTFlorian Lejeune ↔ Mujaid Sadick: 85 passes, -0.2 combined xTUnai López ↔ Adrià Pedrosa: 78 passes, 0.9 combined xTMujaid Sadick ↔ Pathé Ciss: 70 passes, -0.3 combined xTUnai López ↔ Mujaid Sadick: 63 passes, -0.0 combined xTUnai López ↔ Andrei Ratiu: 62 passes, 0.6 combined xTAdrià Pedrosa ↔ Pathé Ciss: 58 passes, -0.3 combined xTFlorian Lejeune ↔ Andrei Ratiu: 50 passes, 0.1 combined xTÓscar Valentín ↔ Pathé Ciss: 49 passes, 0.6 combined xTUnai López ↔ Óscar Valentín: 48 passes, 0.7 combined xTÁlvaro García ↔ Unai López: 46 passes, 1.4 combined xTFlorian Lejeune ↔ Iván Balliu: 45 passes, -0.4 combined xTAndrei Ratiu ↔ Pathé Ciss: 43 passes, 0.3 combined xTFlorian Lejeune ↔ Óscar Valentín: 43 passes, -0.1 combined xTÁlvaro García ↔ Adrià Pedrosa: 42 passes, 2.0 combined xTUnai López ↔ Pedro Díaz: 41 passes, -0.3 combined xTUnai López ↔ Sergio Camello: 37 passes, 1.2 combined xTAndrei Ratiu ↔ Jorge de Frutos: 37 passes, 1.6 combined xTFlorian Lejeune ↔ Adrià Pedrosa: 36 passes, 0.1 combined xTAndrei Ratiu ↔ Sergio Camello: 31 passes, 1.2 combined xTSergio Camello ↔ Pathé Ciss: 30 passes, 0.9 combined xTMujaid Sadick ↔ Adrià Pedrosa: 29 passes, -0.2 combined xTÁlvaro García — isolate this player's connectionsGarcíaUnai López — isolate this player's connectionsLópezFlorian Lejeune — isolate this player's connectionsLejeuneSergio Camello — isolate this player's connectionsCamelloPathé Ciss — isolate this player's connectionsCissIlias Akhomach — isolate this player's connectionsAkhomachPedro Díaz — isolate this player's connectionsDíazÓscar Valentín — isolate this player's connectionsValentínJorge de Frutos — isolate this player's connectionsFrutosAdrià Pedrosa — isolate this player's connectionsPedrosaAlemão — isolate this player's connectionsAlemãoFran Pérez — isolate this player's connectionsPérezIván Balliu — isolate this player's connectionsBalliuAndrei Ratiu — isolate this player's connectionsRatiuMujaid Sadick — isolate this player's connectionsSadickGiorgi Tsitaishvili — isolate this player's connectionsTsitaishvi
width = passes between the paircolour = xT per pass: low → high

Top 10 combinations

López ↔ Ciss
152p · 0.8xT
Lejeune ↔ López
124p · -0.3xT
Lejeune ↔ Ciss
118p · -0.6xT
Lejeune ↔ Sadick
85p · -0.2xT
López ↔ Pedrosa
78p · 0.9xT
Sadick ↔ Ciss
70p · -0.3xT
López ↔ Sadick
63p · -0.0xT
López ↔ Ratiu
62p · 0.6xT
Pedrosa ↔ Ciss
58p · -0.3xT
Lejeune ↔ Ratiu
50p · 0.1xT
Vision AI Model Insight
Busiest connection: Unai López ↔ Pathé Ciss (152 passes). Most dangerous per pass: Álvaro García ↔ Adrià Pedrosa (0.05 xT/pass over 42 passes) — the combination that hurts opponents most when it fires, not just the one used most.

Touch Density — where Rayo Vallecano 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 Rayo Vallecano 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
4150
ACTIONS
4%6%12%5%4%8%11%12%9%8%6%3%2%3%6%PASSES
Carries
the ball moved with a player
981
ACTIONS
3%6%8%6%3%10%10%12%11%10%7%3%2%2%7%CARRIES
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (11.8% of all actions). 63% of actions run through the inside lanes (centre + both half-spaces) versus 37% down the two wings — an inside-dominant, half-space build. By third: 30% defensive, 49% middle, 21% 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. Rayo Vallecano leaned on their right (41%). The bars under the pitch put the league’s share beside theirs.

37%Left side22%Middle41%Right sideATTACKING →
Rayo Vallecano
37%22%41%
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. Rayo Vallecano made 366 this season (40.7 a match); 33% 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: 109 entries (30%)10930%LEFT WINGLeft half-space: 53 entries (14%)5314%LEFT HALF-SPACECentre: 40 entries (11%)4011%CENTRERight half-space: 45 entries (12%)4512%RIGHT HALF-SPACERight wing: 119 entries (33%)11933%RIGHT WINGATTACKING ↑
ChannelEntriesPer matchShareLeague share
Left wing10912.130%29%
Left half-space535.914%15%
Centre404.411%12%
Right half-space455.012%15%
Right wing11913.233%29%
Build-up2 sections

Build-Up — the pass map

The football question
How does Rayo Vallecano 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.

1279build-up passes attempted
78%completed
24%reach the middle third
2%go long into the final third

Pass types

379CB · 38%
62Long Wide · 6%
11Long Central · 1%
421Wide → FB · 42%
123Central · 12%

Sequence success — build-up

172build-up sequences this season
6%succeed — reach the next third or a shot
44%turned over with nothing to show
CB379 · 38%
right: 195 passes, most from Lejeune195left: 184 passes, most from Lejeune184
Long Wide62 · 6%
right: 39 passes, most from Audero39left: 23 passes, most from Audero23
Long Central11 · 1%
left: 8 passes, most from Cárdenas8right: 3 passes, most from López3
Wide → FB421 · 42%
left: 221 passes, most from Audero221right: 200 passes, most from Audero200
Central123 · 12%
right: 67 passes, most from Ciss67left: 56 passes, most from Ciss56
◆ Vision AI Insight
Rayo Vallecano build predominantly down the right, with Lejeune as the fulcrum (213 build-up passes). Only 26% 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 (72×).

Pass Explorer

Every pass of Rayo Vallecano’s last 9 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. 361 progressive passes across 9 matches (40.1/game).

Origin lane

Right wing
35%
Right half-space
14%
Central
13%
Left half-space
12%
Left wing
26%
Progression is right-dominant: 49% right side · 13% central · 38% left.

Who generates it

Unai López
58 · 16%
Andrei Ratiu
45 · 12%
Florian Lejeune
32 · 9%
Adrià Pedrosa
31 · 9%
Pathé Ciss
30 · 8%
Top two — Unai López & Andrei Ratiu — account for 29% of all progression.
PROGRESSION
40.1 prog passes/game
mostly right
→
PENETRATION
31% reach final third
17% reach the box
→
THREAT
the other 69% is recycled
progress ≠ danger
What came of it. 31% of progressive passes reached the final third and 17% the box; the rest was recycled in front of the block. 29% 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 Rayo Vallecano 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.

2002progression passes attempted
88%completed
15%break into the final third
11%go backward into the defensive third

Pass types

456CB · 26%
77Long Wide · 4%
19Long Central · 1%
889Wide → FB · 51%
311Central · 18%

Sequence success — progression

235progression sequences this season
18%succeed — reach the next third or a shot
50%turned over with nothing to show
CB456 · 26%
right: 247 passes, most from Lejeune247left: 209 passes, most from Lejeune209
Long Wide77 · 4%
right: 41 passes, most from López41left: 36 passes, most from López36
Long Central19 · 1%
left: 10 passes, most from López10right: 9 passes, most from Ciss9
Wide → FB889 · 51%
right: 451 passes, most from López451left: 438 passes, most from López438
Central311 · 18%
left: 162 passes, most from Ciss162right: 149 passes, most from López149
◆ Vision AI Insight
Rayo Vallecano progress predominantly down the right, with López the busiest midfield outlet (313 progression passes). Only 15% of passes that start in midfield actually break the final-third line — the rest (74%) is recycled back into midfield or (11%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is RHS mid → C mid (97×) — 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
49%
Safe / backward
36%
15% of passes are progressive-or-better; the remaining 85% 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 Rayo Vallecano actually progress the ball with their feet, not a pass?

252 progressive carries this season across the whole squad (26% of 981 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 15m, longest 46m. Most active carrier: Lejeune (45). Filter to one player below.

First (74)Second (73)Third (61)Fourth (44)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 Rayo Vallecano'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.

133shots
11.3xG
0.08xG per shot
5big chances (0.3+ xG)
12goals
#8key passes / game in the league
#16box entries / game in the league
Attacking transition: 35 shots (26%)26%35Settled attack: 67 shots (50%)50%67Set piece: 31 shots (23%)23%31133SHOTS
Kind of attack, then how the shot was set upShotsGoalsxGxG / shot
Attacking transition 26% of shots3554.740.14
Cross701.200.17
Cut-back421.050.26
Long ball200.220.11
Pass into the box / short pass1510.990.07
Own creation (carry, dribble, rebound)721.280.18
Settled attack 50% of shots6764.090.06
Cross600.570.09
Cut-back410.450.11
Long ball400.170.04
Pass into the box / short pass3451.980.06
Own creation (carry, dribble, rebound)1900.920.05
Set piece 23% of shots3112.450.08
Corner2211.480.07
Free kick800.180.02
Penalty100.790.79

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
Adrià Pedrosa111.321
Sergio Camello101.152
Unai López130.762
Jorge de Frutos50.752
Álvaro García40.612

Who takes them

PlayerShotsxGGoals
Sergio Camello232.507
Álvaro García142.193
Pathé Ciss41.180
Pedro Díaz201.050
Alemão70.730
Vision AI Model Insight
The biggest source of Rayo Vallecano's chances, by xG, is attacking transition (4.7 of 11.3 xG, 35 of 133 shots), mostly own creation (carry, dribble, rebound). 35 of the 133 shots (26%) came within 15 seconds of winning the ball. 31 of the 133 shots came from set pieces; 12 goals from 11.3 xG (+0.7).

Chance Creation — the pass map

The football question
How does Rayo Vallecano 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

3CB · 4%
4Long Wide · 5%
9Long Central · 11%
27Wide → FB · 32%
41Central · 49%

Sequence success — final-third

132final-third sequences this season
24%succeed — produce a shot
41%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
CB3 · 4%
right: 3 passes, most from Lejeune3
Long Wide4 · 5%
right: 3 passes, most from Ciss3
Long Central9 · 11%
left: 6 passes, most from López6right: 3 passes, most from Díaz3
Wide → FB27 · 32%
left: 15 passes, most from López15right: 12 passes, most from Díaz12
Central41 · 49%
right: 26 passes, most from Camello26left: 15 passes, most from López15

Who creates — volume × threat

20López
12Díaz
10Pedrosa
8Camello
5Frutos
5García
5Ciss
84key passes #8 of 20
9.2box entries/game #16 of 20
32.0final-3rd entries/game #10 of 20
1.25xG/game #10 of 20
12goals #13 of 20
+0.7finishing vs xG #14 of 20
◆ Vision AI Insight
Rayo Vallecano lean right — 38% of their key passes come from that flank and its half-space (32 of 84), most often from López (9). They funnel chances into the c of the final third, most often via RHS att → C att (11 key passes, most often from Camello). López is the primary source overall. They generate 1.25 xG a game and finish it clinical — they beat their xG, led by Sergio Camello (7G), Álvaro García (3G), Adrià Pedrosa (1G).

Crosses & Cutbacks — squad-wide

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

137 crosses: 28 found a team-mate (20%), 12 led to a shot (9%). 28 cut-backs: 9 found a team-mate (32%), 6 led to a shot (21%). 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 Rayo Vallecano actually cross from?

137 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. 26% come from one territory, the byline right wing; 6 come from the half-spaces and 0 from the centre.

deep right wing: 13 crosses (9%)9%13deep right half-space: 0 crosses (0%)deep centre: 0 crosses (0%)deep left half-space: 0 crosses (0%)deep left wing: 5 crosses (4%)4%5advanced right wing: 24 crosses (18%)18%24advanced right half-space: 1 crosses (1%)1%1advanced centre: 0 crosses (0%)advanced left half-space: 2 crosses (1%)1%2advanced left wing: 17 crosses (12%)12%17byline right wing: 36 crosses (26%)26%36byline right half-space: 2 crosses (1%)1%2byline centre: 0 crosses (0%)byline left half-space: 1 crosses (1%)1%1byline left wing: 36 crosses (26%)26%36
TerritoryCrossesShareLed to a shot
byline · right wing3626%4
byline · left wing3626%2
advanced · right wing2418%1
advanced · left wing1712%2
deep · right wing139%1
deep · left wing54%0
advanced · left half-space21%1
byline · right half-space21%1
advanced · right half-space11%0
byline · left half-space11%0
Finishing3 sections

Shot Map

133 shots for 11.3 xG (1.25/game, #10 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.

Moderate attack. 14.8 shots/game at 0.085 xG/shot. Box entries 9/game (#16). Threat created 9.7 xT/game (#16).

Goal Sequences

The move behind each of Rayo Vallecano’s 12 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 — 12 goals traced.

How Do They Score?

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

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

By situation

Open play
11 · 92%
Set pieces
1 · 8%
Penalties
0 · 0%

By finish

Right foot
5 · 42%
Left foot
6 · 50%
Header
1 · 8%
Vision AI Model Insight
12 goals scored. 92% 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

59 of 177 pass attempts lost here (33%).33%59/177Lejeune46 of 235 pass attempts lost here (20%).20%46/235Audero115 of 492 pass attempts lost here (23%).23%115/492Cárdenas28 of 224 pass attempts lost here (12%).12%28/224Ciss35 of 151 pass attempts lost here (23%).23%35/151Pedrosa56 of 346 pass attempts lost here (16%).16%56/346Ratiu57 of 442 pass attempts lost here (13%).13%57/442López31 of 484 pass attempts lost here (6%).6%31/484Ciss42 of 394 pass attempts lost here (11%).11%42/394López64 of 336 pass attempts lost here (19%).19%64/336Pedrosa96 of 267 pass attempts lost here (36%).36%96/267Ratiu38 of 133 pass attempts lost here (29%).29%38/133Ratiu17 of 93 pass attempts lost here (18%).18%17/93Camello41 of 131 pass attempts lost here (31%).31%41/131García79 of 245 pass attempts lost here (32%).32%79/245Garcíaattacking →

How they lose it

Incomplete pass — attacking third
271
Failed forward pass
173
Failed take-on
95
Lost in the defensive third
283
Their weakest zone is the right wing in the attacking third: 36% of 267 pass attempts there are lost (96 times). Separately, 34% 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 Rayo Vallecano 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.

48
Pressing Index
/100 · average
Intensity55
PPDA, high-press share, high-zone actions
Height25
how high up the pitch they defend
Effectiveness50
high recoveries & high-regain share
Disruption55
opponent completion & progression allowed

Every defensive action & where it happens

Where they win the ball back — by lane

RW
18%
RHS
20%
C
28%
LHS
18%
LW
16%
By third (high / mid / low regain)
Def 50%
Mid 35%
Att 15%
Read
Ranked #2 of 20 for press intensity, this is a high press. Note the tension: 50% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (21% high-press share) means that when they do defend, it is often deep. Of recoveries, 52% are won high up the pitch.

Every pressing metric, ranked in the league

metricvaluerankmeaning
PPDA (opp passes per def action)—#2/20lower = more intense; rank is what matters
Defensive actions / game158#5/20
High-press share21%#14/20def actions won high up
Defensive-action height (0–100)36.8#15/20avg pitch height of actions
High recoveries / game21.7#9/20ball won in mid+att third
High-recovery share52%#11/20share of recoveries won high
Opponent completion allowed80%#2/20lower = more disruptive
Opponent progressive allowed9.9%#16/20of 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 Rayo Vallecano win it back with a defensive action?

Counted over the 280 opposition possessions that Rayo Vallecano 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 Rayo Vallecano step in. Rayo Vallecano win it after 4.7 opponent passes in the first half-hour and after 4.3 after the hour mark (sooner).

PASSES THEY GET
4.5passes
median 3 · before Rayo Vallecano win it
TIME THEY KEEP IT
13sec
median 6s · 31.1 wins per game
How many passes the opponent got in before the ball was won
44%
30%
15%
11%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
5.2
16s
15–30′
4.1
12s
30–45+′
4.6
14s
45–60′
4.0
11s
60–75′
4.2
10s
75–90+′
4.4
13s
average passesaverage seconds

Attitude in each third

Every other style number here says how much Rayo Vallecano 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 Rayo Vallecano 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) 1,279 passes

nothing unusual in this zone

Width of use-0.3420.30
Wide-channel share-0.410.28
Side bias-0.42-1.40
Pass length+0.3123.83
Long-ball share+0.020.23
Forward gain per pass+0.1412.06
Backward-pass share-0.000.20
Deep-pass share+0.160.30
Completion-0.210.78
Seconds between passes-0.363.11
Side used

left 25% · central 45% · right 29%

Progression (middle third) 2,002 passes

nothing unusual in this zone

Width of use-0.3724.79
Wide-channel share-0.460.37
Side bias-0.17-0.63
Pass length+0.7018.20
Long-ball share+0.080.10
Forward gain per pass+0.103.76
Backward-pass share-0.030.33
Deep-pass share+0.300.18
Completion+0.330.86
Seconds between passes-0.443.00
Side used

left 33% · central 32% · right 35%

Final third 869 passes

nothing unusual in this zone

Width of use+0.4632.76
Wide-channel share+0.330.61
Side bias-0.13-1.42
Pass length+0.7616.65
Long-ball share+0.490.12
Forward gain per pass-0.470.41
Backward-pass share+0.270.40
Deep-pass share-0.200.08
Completion-0.280.67
Seconds between passes+0.513.78
Side used

left 41% · central 14% · right 44%

Reference measured across roughly 3,500 match-teams in this competition, per third, so the comparison is with Rayo Vallecano'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 Rayo Vallecano 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%
#9 of 20 · reaches final third in ≤3 passes
Patient build-up share26%
#12 of 20 · spells of 6+ passes
Tempo (possession length)17.1s
#8 of 20 · shorter = faster tempo
Passes per possession4.3
#12 of 20
Counter-attack shots /game1.51
#2 of 20 · shot within 12s of a regain in own half
Press→shot /game3.15
#9 of 20 · shot within 8s of a high regain
Speed to final third after regain12.7s
#7 of 20 · lower = faster break

Sequence success — attacking transition

14attacking transition sequences this season
21%succeed — produce a shot
57%turned over with nothing to show

Sequence success — defensive transition

43defensive transition sequences this season
65%succeed — reach the next third or a shot
5%turned over with nothing to show
Vision AI Model Insight
Rayo Vallecano are a direct, fast-break side: 18% of possessions reach the final third in 3 passes or fewer (#9 of 20), against 26% built patiently over 6+ passes (#12 of 20). Winning the ball back leads to a shot inside 12 seconds 1.51 times a game (#2), and a high regain converts to a shot within 8 seconds 3.15 times a game (#9 of 20) — a modest but real source of chances.
Defending the box2 sections

Vulnerability Map — how opponents hurt them

The report flipped: where do opponents create their threat against Rayo Vallecano? 388 opponent progressive passes and 144 shots faced (15.2 xG against) across the season.

Opponent threat by lane (attacking into Rayo Vallecano)

Right wing
29%
Right half-space
11%
Central
21%
Left half-space
9%
Left wing
30%
Where the danger came from. Opponents generated most of their threat through the left wing (30% of the danger conceded).

How Do They Concede?

The question
Where do the goals against Rayo Vallecano actually come from — open play, dead balls, and who supplies them?

Every goal Rayo Vallecano conceded across the loaded matches — the opponent's shots in Rayo Vallecano'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 (101 total)

3%4%2%5%19%18%18%16%14%Miguel SierraPeque FernándezJuan IglesiasJuan IglesiasÁngel PérezÁngel PérezMikel RodríguezJonnyLucas BoyéDenis SuárezYoussef EnriquezDenis SuárezToni MartínezLamine YamalLamine YamalMarc BernalDani OlmoRaphinhaLamine YamalDani OlmoLamine YamalXavi EspartMarc BernalRaphinhaPedriJules KoundéPedriRaphinhaSergio CanalesMatteo PratiMatteo PratiYassir ZabiriGonzalo VillarThomas LemarGonzalo VillarLucas CepedaLucas CepedaThomas LemarMatías DituroJavi MorcilloLucas CepedaFacundo BuonanotteRoy RevivoXavi EspartFermín LópezLamine YamalAnthony GordonLamine YamalKarim AdeyemiIñigo VicenteIñigo VicenteBernardo SilvaKylian MbappéKylian MbappéDenzel DumfriesVinícius JúniorÁlvaro CarrerasVinícius JúniorÁlvaro CarrerasYan DiomandeÁlvaro CarrerasYan DiomandeJude BellinghamArda GülerArda GülerArda GülerArda GülerKylian MbappéKylian MbappéAurélien TchouaméniArda GülerQuilindschy HartmanQuilindschy HartmanRoberto FernándezJavi HernándezBryan ZaragozaJavi HernándezBryan ZaragozaEdu ExpósitoJavi HernándezQuilindschy HartmanJavi HernándezMarcos FernándezOmar El HilaliPol LozanoEdu ExpósitoRubén GarcíaAnte BudimirDiego RicoKike BarjaAsier OsambelaIker MuñozIker MuñozJohan MojicaMario MartínMario MartínMartín SatrianoFrancho SerranoAndrés GarcíaMartín SatrianoEnes Ünal← own goal

By situation

Open play
13 · 68%
Set pieces
1 · 5%
Penalties
5 · 26%
Vision AI Model Insight
19 goals conceded. 68% come in open play; set pieces account for only 5%, so dead-ball defending is not the main issue. 0% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right wing of the attacking third (19% 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
11 g · 8.8 xG
Set pieces
1 g · 1.7 xG
Penalties
0 g
8% of goals come from set pieces (1 of 12), worth 1.7 xG from 30 shots. Set pieces are a secondary threat; the danger is in open play.

Where do Rayo Vallecano's corners go?

48 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 (28)

11%21%39%7%7%7%
Delivered into the box 93%Short 7%

Left side (20)

5%10%10%5%20%5%15%20%5%
Delivered into the box 95%Short 5%

Where opponents attack Rayo Vallecano from set pieces

18 shots from opponent corners against Rayo Vallecano, 0 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%25%25%25%12%
Shot 8Goals 0

Left flag (10)

20%40%20%10%10%
Shot 10Goals 0

Tactical Strengths & Weaknesses

Strengths (top-third vs league)
  • press intensity (PPDA) — 4.42 (90th pct)
  • shots /game — 14.78 (65th pct)
Weaknesses (bottom-third vs league)
  • xG conceded /game — 1.69 (10th pct)
  • box entries /game — 9.22 (20th pct)
  • threat created /game — 9.68 (20th pct)
  • progression /game — 40.11 (25th pct)
  • pass retention % — 80.63 (35th 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.

Racing Santander
70%
Levante
57%
Real Sociedad
50%
Espanyol
48%
Alaves
43%

Performance vs Opponent Styles

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

Results

opponent typegoals for/ggoals against/gpoints/g
vs high-pressing opponents (3m)1.332.670.33
vs mid-block opponents (3m)2.002.332.00
vs low-block opponents (3m)0.671.670.67

Behaviour — how Rayo Vallecano actually play against each

opponent typeretentiondirectness (long balls)prog. passes/gxT/gbox entries/g
vs high-pressing opponents74%19%317.16.0
vs mid-block opponents81%16%429.911.0
vs low-block opponents84%10%4712.010.7
Vision AI Model Insight
Facing a high press, retention drops to 74% vs 84% against a low block (11pt lower under pressure), and directness (long-ball share) sits at 19% when pressed vs 10% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.

Scouting Summary — the team in brief

In brief. Rayo Vallecano are balanced-territory with a aggressive high-press. Their attack creates 1.25 xG a game and they concede 1.69 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 Rayo Vallecano’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.

Rayo Vallecano
across 9 matches this season
Expected goalsvs Alaves · 1-1 · 2026-08-200.52avg 1.25
PPDAat Barcelona · 2-5 · 2026-08-316.9avg 4.4
Progressive passesat Getafe · 1-1 · 2026-10-1959avg 40
Threat from passingvs Elche · 0-3 · 2026-10-247.24avg 4.97
Defensive actionsat Sevilla · 1-2 · 2026-08-15189avg 158
Progressive carriesvs Elche · 0-3 · 2026-10-2478avg 46
Passesat Getafe · 1-1 · 2026-10-19624avg 461
Field tiltat Barcelona · 2-5 · 2026-08-3127%avg 47%

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 Rayo Vallecano’s last 9 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).

+13.9on-ball value, 9 matches
Where the value came from
Passes4150 actions+3.51
Carries981 actions+0.99
Dribbles158 actions+0.10
Shots133 actions+5.78
Ball wins545 actions+3.51
Most on-ball value (OBV)ActionsOBVper 100
Sergio Camello320+2.14+0.67
Pathé Ciss677+1.71+0.25
Álvaro García305+1.58+0.52
Pedro Díaz247+1.22+0.49
Andrei Ratiu439+1.12+0.26
Unai López811+0.99+0.12
Alemão64+0.87+1.36
Florian Lejeune773+0.60+0.08
123456
Biggest single movesOBV
1  Pathé Ciss · shot+0.729
2  Álvaro García · ball win+0.694
3  Álvaro García · pass+0.483
4  Alemão · shot+0.425
5  Sergio Camello · shot+0.397
6  Giorgi Tsitaishvili · shot+0.223

Set Pieces by Player

Who delivers Rayo Vallecano’s dead balls and who finishes them this season. 48 corners taken, most by Unai López (34); 30 shots from corners and free kicks, 1 goals, led by Sergio Camello (1 goals, 0.08 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.

PlayerCorners takenInto the boxSet-piece shotsGoalsxGFree-kick shotsPenalties
Unai López3429 (85%)3—0.092—
Florian Lejeune——10—0.386—
Álvaro García22 (100%)4—0.11——
Pedro Díaz43 (75%)3—0.08——
Pathé Ciss——3—0.39—0/1
Isi Palazón32 (67%)1—0.05——
Andrei Ratiu——2—0.18——
Adrià Pedrosa11 (100%)1—0.03——
Giorgi Tsitaishvili42 (50%)——0.00——
Alemão——1—0.21——
Randy Nteka——1—0.06——
Sergio Camello——110.08——

Top Performers

Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 243 minutes). Coloured chips are that player's strongest capability blocks.

playerposminVision AI Scorecapability blocks
Emil AuderoGK4777.9Shot-Stopping 79%
Andrei RatiuFB5857.9Ball-Carrying 91%Ball-Winning 56%Wide Delivery 46%
Florian LejeuneCB8677.2Ball-Winning 76%Ball-Carrying 61%Progression 44%Aerial & Box Defending 40%
Pathé CissDM8676.9Ball-Winning 65%Progression 64%
Unai LópezCM7386.0Ball-Carrying 70%Progression 66%Successful Dribble 64%Chance Creation 39%
Pedro DíazAM4554.6Box Threat 78%Ball-Carrying 41%Chance Creation 20%
Sergio CamelloST6254.5Ball-Carrying 68%Finishing 64%Box Threat 52%Aerial Threat 0%
Jorge de FrutosW4993.0Box Threat 53%Ball-Carrying 28%Chance Creation 4%Wide Delivery 0%
Adrià PedrosaFB5692.9Wide Delivery 46%Ball-Winning 30%Ball-Carrying 10%
Álvaro GarcíaW7182.9Box Threat 45%Chance Creation 29%Wide Delivery 10%Ball-Carrying 2%

Top Creators

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

playerposminkey P /90box entriesxT
Unai LópezM7382.441513.7
Adrià PedrosaD5691.58126.2
Pedro DíazM4552.3763.2
Sergio CamelloF6251.1594.6
Álvaro GarcíaM7180.63103.6
Andrei RatiuD5850.31108.9
Jorge de FrutosM4990.9051.6
Giorgi TsitaishviliM2971.2151.5

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)
Adrià PedrosaFB56913 (38%)6 (33%)
Álvaro GarcíaW7183 (33%)14 (14%)
Andrei RatiuFB58512 (17%)5 (20%)
Jorge de FrutosW4992 (0%)8 (38%)
Giorgi TsitaishviliW2972 (0%)5 (40%)

Defensive Volume Leaders

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

playerposmindef actionstacklesinterceptrecoveries
Florian LejeuneD867185191344
Pathé CissM867181121950
Unai LópezM738110201033
Óscar ValentínM4339911624
Álvaro GarcíaM71896121127
Andrei RatiuD585929828
Sergio CamelloF625838028
Adrià PedrosaD5698213216

Full Squad Data

Every player with 100+ minutes (22 players).

playerposappsmingoalsxGkey PprogdefxT
Florian LejeuneD986700.723218510.0
Pathé CissM986701.253018110.6
Unai LópezM973800.4205811013.7
Álvaro GarcíaM971832.2521963.6
Sergio CamelloF962572.5816834.6
Andrei RatiuD658510.6245928.9
Adrià PedrosaD756910.41031826.2
Jorge de FrutosM749900.2511651.6
Emil AuderoG547700.0110263.3
Pedro DíazM845501.11212553.2
Óscar ValentínM843300.0315994.1
Iván BalliuD838600.0128553.7
Mujaid SadickD536500.109523.4
Giorgi TsitaishviliM629700.749201.5
AlemãoF823200.703380.5
Dani CárdenasG322900.00651.2
GnangoroM622900.132481.1
Fran PérezM619500.013230.4
Isi PalazónM417200.124261.4
Randy NtekaF316600.502250.4
Jozhua VertrouwdD316400.005221.1
Augusto BatallaG216100.00852.2

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.

Florian Lejeune
Stopper / marker · Defender
minutes867
goals · xG0 · 0.7
prog passes /903.3
key passes /900.21
def actions /9019.2
pass accuracy86%
Pathé Ciss
Ball-winner / destroyer · Midfielder
minutes867
goals · xG0 · 1.2
prog passes /903.1
key passes /900.52
def actions /9018.8
pass accuracy90%
Unai López
Deep-lying playmaker · Midfielder
minutes738
goals · xG0 · 0.4
prog passes /907.1
key passes /902.44
def actions /9013.4
pass accuracy82%
Álvaro García
Ball-winner / destroyer · Midfielder
minutes718
goals · xG3 · 2.2
prog passes /902.6
key passes /900.63
def actions /9012.0
pass accuracy59%
Sergio Camello
Ball-winner / destroyer · Midfielder
minutes625
goals · xG7 · 2.5
prog passes /902.3
key passes /901.15
def actions /9012.0
pass accuracy78%
Andrei Ratiu
Ball-playing defender · Defender
minutes585
goals · xG1 · 0.6
prog passes /906.9
key passes /900.31
def actions /9014.2
pass accuracy74%
Adrià Pedrosa
Ball-playing defender · Defender
minutes569
goals · xG1 · 0.4
prog passes /904.9
key passes /901.58
def actions /9013.0
pass accuracy78%
Jorge de Frutos
Ball-winner / destroyer · Midfielder
minutes499
goals · xG0 · 0.2
prog passes /902.0
key passes /900.90
def actions /9011.7
pass accuracy64%
Emil Audero
Goalkeeper · Goalkeeper
minutes477
goals · xG0 · 0.0
prog passes /901.9
key passes /900.19
def actions /904.9
pass accuracy74%

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: xG conceded /game (10th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.69, 10th percentile vs the league).
Need — bottom-third: box entries /game (20th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (9.22, 20th percentile vs the league).
Need — bottom-third: threat created /game (20th pct)
Sign a threat-generating creator between the lines. The data flags this because little threat is manufactured (9.68, 20th percentile vs the league).
Vision AI · building report