Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2025/26
Rayo Vallecano
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Finished #10 of 23 on 59 points (14-17-16, 53:64). Tactical profile below is built from 47 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Rayo Vallecano and how good was the season?
Read. Rayo Vallecano finished #10 of 23 on 59 points (14W-17D-16L, 1.26 pts/game), scoring 53 and conceding 64 for a goal difference of -11.
On the ball they are a balanced-territory team (50% field tilt, #9 in the league); off it they defend with a aggressive high-press (#3 of 23 for press intensity).
Across the 47 matches of event data, they create 1.35 xG/game (#7) and concede 1.34 (#14), a net of +0.01 xG/game — the underlying performance diverges from 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.
#
team
P
W
D
L
GF
GA
GD
Pts
7
Real Sociedad
48
17
14
17
78
79
-1
65
8
Sevilla
48
17
9
22
62
76
-14
60
9
Getafe
48
17
9
22
37
53
-16
60
10
Rayo Vallecano
47
14
17
16
53
64
-11
59
11
Athletic Club
47
16
9
22
55
67
-12
57
12
Alaves
48
14
13
21
58
67
-9
55
13
Valencia
48
14
13
21
53
72
-19
55
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)
Vision AI Model Insight
Rayo Vallecano tend to fade after a strong start — first-half net xG +3.40, second-half -2.93. Their strongest period is 31-45' (net +4.37 xG); their most dangerous period to face is 46-60' (net -2.30 xG against them).
xG Race — the season, match by match
Expected goals piling up over 47 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 (+0.5 xG). Hover a point for that match.
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.
52
Build-Up
possession control from the back
50
Progression
moving the ball upfield with threat
59
Creation
manufacturing chances
74
Press
winning the ball high & hard
39
Solidity
resisting the opponent's threat
Genetic identity
Rayo Vallecano are defined most by their Press DNA (74/100 · strong at winning the ball high & hard), and least by their Solidity DNA (39/100). Percentiles vs the 23 teams in the league.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
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.
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.
Vision AI Model Insight
Rayo Vallecano post 50% field tilt, ranking #9 of 23 in the league — comfortably above the league mid-point for territorial control, and their 1.26 points/game sits below the league-average return — a real disconnect: their territorial control isn't showing up on the scoreboard the way it should.
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.
Phase
Share of the time
Build-up
29.5%
Progression
44.6%
Chance creation
23.8%
Attacking transition
2.1%
Vision AI Model Insight
Progression is where Rayo Vallecano spends most of its time on the ball (45% of its time on the ball).
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Lejeune ↔ Ratiu
507p · 28.8xT
Lejeune ↔ Batalla
490p · 18.1xT
Lejeune ↔ Ciss
349p · 5.9xT
Lejeune ↔ López
317p · 10.3xT
López ↔ Ratiu
251p · 11.5xT
Lejeune ↔ Chavarría
229p · 10.4xT
Ratiu ↔ Ciss
217p · 12.7xT
López ↔ Chavarría
211p · 12.1xT
Ciss ↔ Chavarría
209p · 9.4xT
Ratiu ↔ Palazón
205p · 11.9xT
Vision AI Model Insight
Busiest connection: Florian Lejeune ↔ Andrei Ratiu (507 passes). Most dangerous per pass: Augusto Batalla ↔ Pep Chavarría (0.10 xT/pass over 145 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 479 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
21684
ACTIONS
Carries
the ball moved with a player
5121
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (12.5% of all actions). 60% of actions run through the inside lanes (centre + both half-spaces) versus 40% down the two wings — an inside-dominant, half-space build. By third: 32% defensive, 47% 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.
Rayo Vallecano
39%20%41%
League
39%22%38%
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 1855 this season (39.5 a match); 34% 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.
Channel
Entries
Per match
Share
League share
Left wing
543
11.6
29%
30%
Left half-space
253
5.4
14%
15%
Centre
191
4.1
10%
12%
Right half-space
244
5.2
13%
14%
Right wing
624
13.3
34%
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.
6969build-up passes attempted
78%completed
28%reach the middle third
2%go long into the final third
Pass types
2022CB · 37%
507Long Wide · 9%
63Long Central · 1%
2139Wide → FB · 39%
736Central · 13%
Sequence success — build-up
1400build-up sequences this season
8%succeed — reach the next third or a shot
44%turned over with nothing to show
CB2022 · 37%
Long Wide507 · 9%
Long Central63 · 1%
Wide → FB2139 · 39%
Central736 · 13%
◆ Vision AI Insight
Rayo Vallecano build predominantly down the right, with Lejeune as the fulcrum (1104 build-up passes). Only 31% 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 LHS def → C def (361×).
Pass Explorer
Every pass of Rayo Vallecano’s last 10 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
Progression4 sections
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 2020 progressive passes across 47 matches (43.0/game).
Origin lane
Right wing
32%
Right half-space
13%
Central
16%
Left half-space
11%
Left wing
29%
Progression is right-dominant: 45% right side · 16% central · 40% left.
Who generates it
Andrei Ratiu
275 · 14%
Pep Chavarría
194 · 10%
Augusto Batalla
194 · 10%
Florian Lejeune
163 · 8%
Unai López
133 · 7%
Top two — Andrei Ratiu & Pep Chavarría — account for 23% of all progression.
PROGRESSION
43.0 prog passes/game
mostly right
→
PENETRATION
29% reach final third
18% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it.29% of progressive passes reached the final third and 18% the box; the rest was recycled in front of the block. 23% of the progression ran through two players, mostly down the right side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once 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.
10136progression passes attempted
86%completed
16%break into the final third
14%go backward into the defensive third
Pass types
2216CB · 25%
407Long Wide · 5%
80Long Central · 1%
4667Wide → FB · 53%
1363Central · 16%
Sequence success — progression
2126progression sequences this season
24%succeed — reach the next third or a shot
40%turned over with nothing to show
CB2216 · 25%
Long Wide407 · 5%
Long Central80 · 1%
Wide → FB4667 · 53%
Central1363 · 16%
◆ Vision AI Insight
Rayo Vallecano progress predominantly down the left, with Lejeune the busiest midfield outlet (1169 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (71%) is recycled back into midfield or (14%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LW mid → LHS mid (446×) — 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)
14%
Progressive
1%
Neutral / sideways
48%
Safe / backward
37%
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.
Where does Rayo Vallecano actually progress the ball with their feet, not a pass?
1165 progressive carries this season across the whole squad (24% of 4874 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 52m. Most active carrier: Ratiu (159). Filter to one player below.
First (344)Second (332)Third (298)Fourth (191)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.
664shots
63.5xG
0.10xG per shot
37big chances (0.3+ xG)
53goals
#5key passes / game in the league
#17box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition27% of shots
177
21
20.64
0.12
Cross
27
1
3.70
0.14
Cut-back
17
4
3.36
0.20
Long ball
13
2
2.34
0.18
Pass into the box / short pass
83
9
7.56
0.09
Own creation (carry, dribble, rebound)
37
5
3.68
0.10
Settled attack51% of shots
337
21
29.81
0.09
Cross
59
4
6.99
0.12
Cut-back
26
5
3.43
0.13
Long ball
14
1
0.83
0.06
Pass into the box / short pass
154
9
11.66
0.08
Own creation (carry, dribble, rebound)
84
2
6.89
0.08
Set piece23% of shots
150
11
13.09
0.09
Corner
111
8
7.65
0.07
Free kick
33
0
0.68
0.02
Penalty
6
3
4.76
0.79
Every attempt to create — and what came of it
Every pass into the box, every cut-back and every pass before a shot. Red led to a shot, gold to a goal; grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball. Filter by outcome, type or player; tap an arrow for the detail.
Who sets the shots up
Player
Set-ups
xG created
Goals
Álvaro García
42
6.84
7
Andrei Ratiu
41
4.35
4
Jorge de Frutos
32
3.70
3
Pep Chavarría
25
2.94
2
Isi Palazón
21
2.63
1
Who takes them
Player
Shots
xG
Goals
Jorge de Frutos
65
9.47
10
Álvaro García
61
7.98
7
Sergio Camello
50
5.76
12
Isi Palazón
54
5.67
3
Pathé Ciss
24
4.08
2
Vision AI Model Insight
The biggest source of Rayo Vallecano's chances, by xG, is settled attack (29.8 of 63.5 xG, 337 of 664 shots), mostly pass into the box / short pass. 177 of the 664 shots (27%) came within 15 seconds of winning the ball. 150 of the 664 shots came from set pieces; 53 goals from 63.5 xG (-10.5).
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
39CB · 9%
20Long Wide · 4%
48Long Central · 11%
150Wide → FB · 33%
199Central · 44%
Sequence success — final-third
1449final-third sequences this season
25%succeed — produce a shot
36%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
CB39 · 9%
Long Wide20 · 4%
Long Central48 · 11%
Wide → FB150 · 33%
Central199 · 44%
Who creates — volume × threat
53López
46García
44Ratiu
39Palazón
35Frutos
32Díaz
27Chavarría
456key passes #5 of 23
10.3box entries/game #17 of 23
31.8final-3rd entries/game #14 of 23
1.35xG/game #7 of 23
53goals #15 of 23
-10.5finishing vs xG #23 of 23
◆ Vision AI Insight
Rayo Vallecano lean right — 41% of their key passes come from that flank and its half-space (189 of 456), most often from Ratiu (40). They funnel chances into the c of the final third, most often via RW att → C att (63 key passes, most often from Ratiu). López is the primary source overall. They generate 1.35 xG a game and finish it wasteful — they under-perform their xG, led by Sergio Camello (12G), Jorge de Frutos (10G), Álvaro García (7G).
Crosses & Cutbacks — squad-wide
The question
How does Rayo Vallecano deliver into the box from wide areas, and what comes of it?
729 crosses: 214 found a team-mate (29%), 95 led to a shot (13%). 128 cut-backs: 58 found a team-mate (45%), 40 led to a shot (31%). 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?
729 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; 20 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
174
24%
28
byline · left wing
168
23%
23
advanced · right wing
139
19%
18
advanced · left wing
138
19%
17
deep · right wing
51
7%
4
deep · left wing
39
5%
0
byline · right half-space
5
1%
1
byline · left half-space
5
1%
3
advanced · right half-space
3
0%
0
advanced · left half-space
3
0%
1
deep · right half-space
2
0%
0
deep · left half-space
2
0%
0
Finishing3 sections
Shot Map
664 shots for 63.5 xG (1.35/game, #7 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 14.1 shots/game at 0.096 xG/shot. Box entries 10/game (#17). Threat created 10.2 xT/game (#11).
Goal Sequences
The move behind each of Rayo Vallecano’s 53 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 — 53 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
42 · 79%
Set pieces
8 · 15%
Penalties
3 · 6%
By finish
Right foot
21 · 40%
Left foot
25 · 47%
Header
7 · 13%
Vision AI Model Insight
53 goals scored. 79% come in open play; set pieces add 15%. Open play is clearly their main route to goal.
When they lose it1 section
Ball-Loss Map — where attacks die
Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.
Loss rate by zone
How they lose it
Incomplete pass — attacking third
1399
Failed forward pass
897
Failed take-on
444
Lost in the defensive third
1502
Their weakest zone is the left wing in the attacking third: 34% of 1408 pass attempts there are lost (479 times). Separately, 33% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession
Out of possession
How they press, where they win the ball back, and how they concede.
How hard does 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
Intensity49
PPDA, high-press share, high-zone actions
Height26
how high up the pitch they defend
Effectiveness61
high recoveries & high-regain share
Disruption50
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
18%
RHS
20%
C
23%
LHS
20%
LW
20%
By third (high / mid / low regain)
Def 53%
Mid 35%
Att 12%
Read
Ranked #3 of 23 for press intensity, this is a high press. Note the tension: 53% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (19% 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
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#3/23
lower = more intense; rank is what matters
Defensive actions / game
140
#8/23
High-press share
19%
#16/23
def actions won high up
Defensive-action height (0–100)
35.7
#17/23
avg pitch height of actions
High recoveries / game
22.7
#5/23
ball won in mid+att third
High-recovery share
52%
#13/23
share of recoveries won high
Opponent completion allowed
77%
#2/23
lower = more disruptive
Opponent progressive allowed
10.5%
#21/23
of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.
How long they keep it — passes and seconds until the ball is won
The question
Once the opponent has the ball, how many passes and how many seconds pass before Rayo Vallecano win it back with a defensive action?
Counted over the 1576 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 3.6 after the hour mark (sooner).
PASSES THEY GET
4.0passes
median 3 · before Rayo Vallecano win it
TIME THEY KEEP IT
12sec
median 6s · 33.5 wins per game
How many passes the opponent got in before the ball was won
49%
29%
12%
10%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
4.9
15s
15–30′
4.4
13s
30–45+′
4.3
13s
45–60′
3.4
9s
60–75′
3.7
11s
75–90+′
3.6
11s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Rayo Vallecano were doing with the
ball, and what the opposition were doing about it at that exact moment. Built from the
real action sequence in time order, so one possession is split across the phases it
genuinely passed through rather than labelled once by where it began.
7,081phase segments analysed
8.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#3of 20 for share of defending spent pressing high
How Rayo Vallecano defend when the opponent has it.
High press 9.7%Mid block 13.5%Low block 48.2%Unopposed 28.6%
What opponents do against Rayo Vallecano
The mirror image, and the part no other section can show: whether teams come
out to press Rayo Vallecano or sit in and invite them on. A side that is always faced with a low
block is playing a different sport from one that is pressed every week.
High press 8.2%Mid block 10.8%Low block 49.6%Unopposed 31.4%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,432
4.8s
2.9
0.2%
52.2%
Progression
2,844
6.2s
3.8
0.8%
45.2%
Chance creation
1,676
5.6s
3.1
28.5%
51.9%
Attacking transition
129
6.5s
3.8
2.3%
39.5%
Most common routes through the phases
How a possession actually travelled, in order. The chain is the tactical signature — a move that climbs all three thirds is a different thing from one that never leaves the first.
Route
Times
Ends in shot
build_up
995
0.1%
progression
685
0.6%
chance_creation
389
40.6%
build_up → progression
357
0.8%
progression → chance_creation
352
30.4%
build_up → progression → chance_creation
213
33.3%
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) 6,969 passes
nothing unusual in this zone
Width of use-0.4020.17
Wide-channel share-0.460.28
Side bias-0.14-0.37
Pass length+0.4724.41
Long-ball share+0.360.26
Forward gain per pass+0.2912.69
Backward-pass share+0.320.21
Deep-pass share+0.370.32
Completion-0.160.78
Seconds between passes+0.063.36
Side used
left 26% · central 47% · right 27%
Progression (middle third) 10,136 passes
nothing unusual in this zone
Width of use-0.0325.50
Wide-channel share-0.040.40
Side bias+0.100.45
Pass length+0.6618.14
Long-ball share+0.220.11
Forward gain per pass-0.033.55
Backward-pass share+0.290.35
Deep-pass share+0.320.18
Completion+0.190.86
Seconds between passes-0.113.15
Side used
left 36% · central 30% · right 34%
Final third 4,579 passes
touchline to touchline, played in the channels
Width of use+0.9633.99
Wide-channel share+0.960.67
Side bias-0.22-2.01
Pass length+0.2315.83
Long-ball share-0.040.10
Forward gain per pass-0.270.68
Backward-pass share+0.170.40
Deep-pass share-0.200.08
Completion-0.110.69
Seconds between passes+0.153.51
Side used
left 42% · central 13% · right 46%
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 23 · reaches final third in ≤3 passes
Patient build-up share26%
#13 of 23 · spells of 6+ passes
Tempo (possession length)17.1s
#9 of 23 · shorter = faster tempo
Passes per possession4.3
#13 of 23
Counter-attack shots /game1.51
#2 of 23 · shot within 12s of a regain in own half
Press→shot /game3.15
#9 of 23 · shot within 8s of a high regain
Speed to final third after regain12.7s
#7 of 23 · lower = faster break
Sequence success — attacking transition
146attacking transition sequences this season
19%succeed — produce a shot
43%turned over with nothing to show
Sequence success — defensive transition
446defensive transition sequences this season
61%succeed — reach the next third or a shot
8%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 23), against 26% built patiently over 6+ passes (#13 of 23). 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 23) — 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? 2038 opponent progressive passes and 609 shots faced (63.1 xG against) across the season.
Opponent threat by lane (attacking into Rayo Vallecano)
Right wing
31%
Right half-space
12%
Central
19%
Left half-space
10%
Left wing
28%
Where the danger came from. Opponents generated most of their threat through the right wing (31% 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
Every opponent key pass against them (420 total)
By situation
Open play
44 · 71%
Set pieces
7 · 11%
Penalties
11 · 18%
Vision AI Model Insight
62 goals conceded. 71% come in open play; set pieces account for only 11%, so dead-ball defending is not the main issue. 10% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right wing of the attacking third (20% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
42 g · 50.4 xG
Set pieces
8 g · 8.3 xG
Penalties
3 g
15% of goals come from set pieces (8 of 53), worth 8.3 xG from 144 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Rayo Vallecano's corners go?
264 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 (134)
Delivered into the box 93%Short 7%
Left side (130)
Delivered into the box 95%Short 5%
Where opponents attack Rayo Vallecano from set pieces
99 shots from opponent corners against Rayo Vallecano, 6 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 (44)
Shot 44Goals 3
Left flag (55)
Shot 55Goals 3
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
press intensity (PPDA) — 5.54 (87th pct)
shots /game — 14.13 (83th pct)
xG created /game — 1.35 (70th pct)
Weaknesses (bottom-third vs league)
box entries /game — 10.28 (26th 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.
Real Sociedad
80%
Alaves
67%
Sevilla
49%
Racing Santander
38%
Getafe
36%
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 type
goals for/g
goals against/g
points/g
vs high-pressing opponents (15m)
1.60
1.40
1.60
vs mid-block opponents (15m)
0.87
1.33
1.07
vs low-block opponents (17m)
0.94
1.35
1.12
Behaviour — how Rayo Vallecano actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
76%
19%
39
8.8
9.1
vs mid-block opponents
80%
16%
44
10.4
10.1
vs low-block opponents
82%
14%
46
11.4
11.5
Vision AI Model Insight
Facing a high press, retention drops to 76% vs 82% against a low block (6pt lower under pressure), and directness (long-ball share) sits at 19% when pressed vs 14% 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 1.35 xG a game and they concede 1.34 a game.
[Event-data based — no tracking, so off-ball structure and marking scheme need video.]
For each of ten match numbers, the one match this season that departed furthest from 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.
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 12 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).
+19.7on-ball value, 12 matches
Where the value came from
Passes5508 actions+5.26
Carries1258 actions+1.26
Dribbles205 actions+0.19
Shots169 actions+7.78
Ball wins779 actions+5.22
Most on-ball value (OBV)
Actions
OBV
per 100
Sergio Camello
400
+2.50
+0.63
Pathé Ciss
815
+2.00
+0.25
Álvaro García
320
+1.59
+0.50
Pedro Díaz
362
+1.34
+0.37
Andrei Ratiu
553
+1.28
+0.23
Jorge de Frutos
229
+1.22
+0.53
Unai López
919
+1.13
+0.12
Florian Lejeune
937
+1.04
+0.11
Biggest single moves
OBV
1 Randy Nteka · shot
+0.752
2 Pathé Ciss · shot
+0.729
3 Álvaro García · ball win
+0.694
4 Álvaro García · pass
+0.483
5 Alemão · shot
+0.425
6 Sergio Camello · shot
+0.397
Set Pieces by Player
Who delivers Rayo Vallecano’s dead balls and who finishes them this season. 264 corners taken, most by Isi Palazón (94); 144 shots from corners and free kicks, 8 goals, led by Florian Lejeune (2 goals, 1.79 xG). “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Isi Palazón
94
79 (84%)
10
—
0.29
2
2/3
Florian Lejeune
—
—
42
2
1.79
24
—
Unai López
89
73 (82%)
9
—
0.30
3
—
Pedro Díaz
17
14 (82%)
14
—
0.36
1
—
Gerard Gumbau
34
28 (82%)
4
—
0.09
2
—
Pathé Ciss
—
—
12
1
1.61
—
0/1
Álvaro García
10
3 (30%)
8
—
0.21
—
—
Andrei Ratiu
—
—
9
—
0.38
—
—
Nobel Mendy
—
—
6
2
1.23
—
—
Ilias Akhomach
8
6 (75%)
3
—
0.14
1
—
Randy Nteka
—
—
4
—
0.21
—
0/1
Jorge de Frutos
1
0 (0%)
3
1
0.42
—
1/1
Pep Chavarría
—
—
4
—
0.09
—
—
Pacha Espino
—
—
4
—
0.12
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 300 minutes). Coloured chips are that player's strongest capability blocks.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Andrei Ratiu
D
3603
1.10
75
51.9
Álvaro García
M
2922
1.42
50
17.0
Unai López
M
2457
1.94
40
37.4
Isi Palazón
M
2496
1.41
54
26.8
Pep Chavarría
D
2880
0.84
50
40.3
Jorge de Frutos
F
3039
1.04
38
10.7
Pedro Díaz
M
2462
1.17
20
15.3
Gerard Gumbau
M
1275
1.62
22
12.3
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.
player
pos
min
crosses (completed)
cutbacks (completed)
Andrei Ratiu
FB
3603
64 (31%)
40 (42%)
Álvaro García
W
2922
38 (16%)
51 (37%)
Jorge de Frutos
W
3039
16 (31%)
33 (39%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Florian Lejeune
D
4313
851
85
61
212
Pathé Ciss
M
3057
552
66
55
165
Andrei Ratiu
D
3603
550
79
46
191
Óscar Valentín
M
2673
505
83
34
127
Pep Chavarría
D
2880
414
54
31
142
Nobel Mendy
D
1958
353
27
21
68
Unai López
M
2457
326
51
32
128
Álvaro García
M
2922
324
39
24
105
Full Squad Data
Every player with 100+ minutes (29 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Florian Lejeune
D
45
4313
2
2.9
15
163
851
53.4
Andrei Ratiu
D
41
3603
1
3.1
44
275
550
51.9
Augusto Batalla
G
36
3423
0
0.0
2
194
100
48.7
Pathé Ciss
M
38
3057
2
4.1
14
131
552
39.0
Jorge de Frutos
F
43
3039
10
9.5
35
65
269
10.7
Álvaro García
M
41
2922
7
8.0
46
96
324
17.0
Pep Chavarría
D
33
2880
1
0.8
27
194
414
40.3
Óscar Valentín
M
41
2673
1
1.6
13
64
505
20.2
Isi Palazón
M
35
2496
3
5.7
39
109
282
26.8
Pedro Díaz
M
42
2462
0
3.0
32
55
295
15.3
Unai López
M
37
2457
0
1.3
53
133
326
37.4
Nobel Mendy
D
24
1958
2
1.9
3
38
353
14.0
Pacha Espino
D
30
1627
2
1.4
19
129
280
20.1
Fran Pérez
M
35
1532
2
2.0
14
36
182
7.0
Sergio Camello
F
31
1525
12
5.8
24
32
167
8.1
Alemão
F
34
1459
4
3.7
7
18
145
3.5
Gerard Gumbau
M
28
1275
0
0.9
23
41
160
12.3
Iván Balliu
D
22
1018
0
0.5
4
80
133
14.0
Jozhua Vertrouwd
D
12
654
0
0.1
1
11
88
3.9
Dani Cárdenas
G
7
620
0
0.0
0
26
17
5.6
Randy Nteka
F
16
602
3
2.9
4
4
96
1.2
Adrià Pedrosa
D
7
569
2
1.0
10
31
82
6.2
Luiz Felipe
D
10
504
0
0.3
1
11
78
3.6
Emil Audero
G
5
477
0
0.0
1
10
26
3.3
Mujaid Sadick
D
5
365
0
0.1
0
9
52
3.4
Giorgi Tsitaishvili
M
6
297
0
0.7
4
9
20
1.5
Gnangoro
M
6
229
0
0.1
3
2
48
1.1
Óscar Trejo
M
7
170
0
0.1
7
15
20
2.8
Pelayo Fernández
D
3
131
0
0.0
0
4
26
0.8
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
minutes4313
goals · xG2 · 2.9
prog passes /903.4
key passes /900.31
def actions /9017.8
pass accuracy87%
Andrei Ratiu
Ball-playing defender · Defender
minutes3603
goals · xG1 · 3.1
prog passes /906.9
key passes /901.10
def actions /9013.7
pass accuracy79%
Augusto Batalla
Goalkeeper · Goalkeeper
minutes3423
goals · xG0 · 0.0
prog passes /905.1
key passes /900.05
def actions /902.6
pass accuracy67%
Pathé Ciss
Ball-winner / destroyer · Midfielder
minutes3057
goals · xG2 · 4.1
prog passes /903.9
key passes /900.41
def actions /9016.3
pass accuracy90%
Jorge de Frutos
Poacher / finisher · Forward
minutes3039
goals · xG10 · 9.5
prog passes /901.9
key passes /901.04
def actions /908.0
pass accuracy69%
Álvaro García
Ball-winner / destroyer · Midfielder
minutes2922
goals · xG7 · 8.0
prog passes /903.0
key passes /901.42
def actions /9010.0
pass accuracy61%
Pep Chavarría
Ball-playing defender · Defender
minutes2880
goals · xG1 · 0.8
prog passes /906.1
key passes /900.84
def actions /9012.9
pass accuracy81%
Óscar Valentín
Ball-winner / destroyer · Midfielder
minutes2673
goals · xG1 · 1.6
prog passes /902.2
key passes /900.44
def actions /9017.0
pass accuracy88%
Isi Palazón
Ball-winner / destroyer · Midfielder
minutes2496
goals · xG3 · 5.7
prog passes /903.9
key passes /901.41
def actions /9010.2
pass accuracy77%
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: box entries /game (26th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (10.28, 26th percentile vs the league).
Need — below-average: xG conceded /game (39th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.34, 39th percentile vs the league).
Need — below-average: pass retention % (43th pct)
Sign a secure ball-retaining midfielder. The data flags this because possession is turned over cheaply (80.15, 43th percentile vs the league).
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