Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2026
Sevilla
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #6 of 20 on 17 points (5-2-3, 16:16). Tactical profile below is built from 10 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Sevilla and how good was the season?
Read. Sevilla currently sit #6 of 20 on 17 points (5W-2D-3L, 1.70 pts/game), scoring 16 and conceding 16 for a goal difference of +0.
On the ball they are a balanced-territory team (51% field tilt, #7 in the league); off it they defend with a aggressive high-press (#5 of 20 for press intensity).
Across the 10 matches of event data, they create 1.12 xG/game (#15) and concede 1.28 (#11), a net of -0.16 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Sevilla actually finish, and against whom?
The authoritative final table (full season), centred on Sevilla.
#
team
P
W
D
L
GF
GA
GD
Pts
3
Real Madrid
10
8
0
2
25
10
+15
24
4
Real Betis
10
6
2
2
16
14
+2
20
5
Real Sociedad
10
6
1
3
19
18
+1
19
6
Sevilla
10
5
2
3
16
16
+0
17
7
Alaves
10
3
3
4
14
11
+3
12
8
Athletic Club
9
3
3
3
12
9
+3
12
9
Celta Vigo
10
2
6
2
10
7
+3
12
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Sevilla 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
Sevilla tend to come alive after the break — first-half net xG -1.33, second-half -0.23. Their strongest period is 46-60' (net +2.15 xG); their most dangerous period to face is 76-90+' (net -1.58 xG against them).
xG Race — the season, match by match
Expected goals piling up over 10 matches: Sevilla 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 (-1.6 xG). Hover a point for that match.
SevillaOpponents against Sevilla
Tactical DNA
The football question
In five genes, what is Sevilla'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.
35
Build-Up
possession control from the back
58
Progression
moving the ball upfield with threat
45
Creation
manufacturing chances
70
Press
winning the ball high & hard
45
Solidity
resisting the opponent's threat
Genetic identity
Sevilla are defined most by their Press DNA (70/100 · strong at winning the ball high & hard), and least by their Build-Up DNA (35/100). Percentiles vs the 20 teams in the league.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
26%
Possession
43%
Field tilt
74%
Disrupt
Central progression ~proxy
13%
Dribble tendency
70%
Progressive passes
57%
Finish
Final-third patience
52%
Shot quality
9%
Open-play xG
13%
Press
Forward press ~proxy
83%
High regains
70%
Pressing efficiency ~proxy
74%
Defend
Def-mid press ~proxy
78%
High line ~proxy
78%
PAdj defensive actions
78%
Sevilla is defined most by Defend (78% in the league) and weakest on Finish (25%). 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 Sevilla actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Sevilla'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; Sevilla highlighted. Hover any dot for the team.
Vision AI Model Insight
Sevilla post 51% field tilt, ranking #7 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.70 points/game sits above the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Sevilla has the ball, how much of that time is spent building, progressing and creating?
The share of Sevilla'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
19.7%
Progression
50.3%
Chance creation
27.3%
Attacking transition
2.6%
Vision AI Model Insight
Progression is where Sevilla spends most of its time on the ball (50% 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
Suazo ↔ Salas
113p · 0.7xT
Suazo ↔ Agoumé
85p · 1.1xT
Salas ↔ Castrín
78p · -0.3xT
Agoumé ↔ Iglesias
72p · 0.3xT
Agoumé ↔ Castrín
71p · -0.3xT
Iglesias ↔ Castrín
69p · -0.3xT
Suazo ↔ Correia
58p · 1.8xT
Iglesias ↔ Sierra
55p · 0.5xT
Agoumé ↔ Salas
54p · 0.3xT
Vlachodimos ↔ Castrín
52p · -0.3xT
Vision AI Model Insight
Busiest connection: Gabriel Suazo ↔ Kike Salas (113 passes). Most dangerous per pass: Youssouf Fofana ↔ Félix Correia (0.06 xT/pass over 31 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Sevilla 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 Sevilla 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
3879
ACTIONS
Carries
the ball moved with a player
831
ACTIONS
Vision AI Model Insight
Their single busiest zone is the right wing of the middle third (12.3% of all actions). 56% of actions run through the inside lanes (centre + both half-spaces) versus 44% down the two wings — an inside-dominant, half-space build. By third: 26% defensive, 49% middle, 25% 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. Sevilla leaned on their left (40%). The bars under the pitch put the league’s share beside theirs.
Sevilla
40%22%39%
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. Sevilla made 380 this season (38.0 a match); 29% came into the left wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
112
11.2
29%
29%
Left half-space
56
5.6
15%
15%
Centre
42
4.2
11%
12%
Right half-space
63
6.3
17%
15%
Right wing
107
10.7
28%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Sevilla 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.
999build-up passes attempted
73%completed
36%reach the middle third
3%go long into the final third
Pass types
282CB · 38%
81Long Wide · 11%
14Long Central · 2%
301Wide → FB · 41%
56Central · 8%
Sequence success — build-up
127build-up sequences this season
10%succeed — reach the next third or a shot
48%turned over with nothing to show
CB282 · 38%
Long Wide81 · 11%
Long Central14 · 2%
Wide → FB301 · 41%
Central56 · 8%
◆ Vision AI Insight
Sevilla build predominantly down the right, with Vlachodimos as the fulcrum (153 build-up passes). Only 40% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → RHS def (36×).
Pass Explorer
Every pass of Sevilla’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. 463 progressive passes across 10 matches (46.3/game).
Origin lane
Right wing
30%
Right half-space
11%
Central
13%
Left half-space
15%
Left wing
31%
Progression is left-dominant: 41% right side · 13% central · 46% left.
Who generates it
Gabriel Suazo
96 · 21%
Juan Iglesias
70 · 15%
Kike Salas
43 · 9%
Odysseas Vlachodimos
39 · 8%
Lucien Agoumé
37 · 8%
Top two — Gabriel Suazo & Juan Iglesias — account for 36% of all progression.
PROGRESSION
46.3 prog passes/game
mostly left
→
PENETRATION
29% reach final third
21% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it.29% of progressive passes reached the final third and 21% the box; the rest was recycled in front of the block. 36% of the progression ran through two players, mostly down the left 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 wingefficient
Progression — the pass map
The football question
Once Sevilla 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.
1895progression passes attempted
80%completed
19%break into the final third
11%go backward into the defensive third
Pass types
373CB · 25%
96Long Wide · 6%
23Long Central · 2%
845Wide → FB · 56%
184Central · 12%
Sequence success — progression
263progression sequences this season
24%succeed — reach the next third or a shot
45%turned over with nothing to show
CB373 · 25%
Long Wide96 · 6%
Long Central23 · 2%
Wide → FB845 · 56%
Central184 · 12%
◆ Vision AI Insight
Sevilla progress predominantly down the left, with Agoumé the busiest midfield outlet (255 progression passes). Only 19% of passes that start in midfield actually break the final-third line — the rest (70%) 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 LHS mid → LW mid (83×) — 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)
18%
Progressive
1%
Neutral / sideways
50%
Safe / backward
31%
19% of passes are progressive-or-better; the remaining 81% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Sevilla actually progress the ball with their feet, not a pass?
201 progressive carries this season across the whole squad (24% of 831 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 50m. Most active carrier: Suazo (28). Filter to one player below.
First (61)Second (50)Third (46)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 Sevilla'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.
123shots
11.2xG
0.09xG per shot
5big chances (0.3+ xG)
16goals
#10key passes / game in the league
#6box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition28% of shots
34
7
3.89
0.11
Cross
2
0
0.24
0.12
Cut-back
1
0
0.25
0.25
Long ball
2
0
0.23
0.11
Pass into the box / short pass
15
4
2.00
0.13
Own creation (carry, dribble, rebound)
14
3
1.17
0.08
Settled attack59% of shots
72
7
4.84
0.07
Cross
13
1
0.83
0.06
Cut-back
5
1
0.48
0.10
Long ball
4
0
0.25
0.06
Pass into the box / short pass
28
2
1.67
0.06
Own creation (carry, dribble, rebound)
22
3
1.62
0.07
Set piece14% of shots
17
2
2.50
0.15
Corner
12
0
0.83
0.07
Free kick
3
0
0.09
0.03
Penalty
2
2
1.59
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
Robbie Ure
4
0.84
1
Youssouf Fofana
7
0.78
3
Gabriel Suazo
13
0.72
0
Juan Iglesias
6
0.65
0
Isaac Romero
4
0.44
1
Who takes them
Player
Shots
xG
Goals
Robbie Ure
13
1.44
1
Félix Correia
8
1.36
2
Peque Fernández
6
1.19
1
Youssouf Fofana
11
1.01
1
Jon Guridi
4
0.96
1
Vision AI Model Insight
The biggest source of Sevilla's chances, by xG, is settled attack (4.8 of 11.2 xG, 72 of 123 shots), mostly pass into the box / short pass. 34 of the 123 shots (28%) came within 15 seconds of winning the ball. 17 of the 123 shots came from set pieces; 16 goals from 11.2 xG (+4.8).
Chance Creation — the pass map
The football question
How does Sevilla 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 · 7%
6Long Wide · 7%
9Long Central · 11%
25Wide → FB · 30%
36Central · 44%
Sequence success — final-third
176final-third sequences this season
16%succeed — produce a shot
38%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 · 7%
Long Wide6 · 7%
Long Central9 · 11%
Wide → FB25 · 30%
Central36 · 44%
Who creates — volume × threat
14Suazo
7Correia
7Fofana
6Iglesias
6Sierra
4Kochorashvili
4Ure
82key passes #10 of 20
12.7box entries/game #6 of 20
30.9final-3rd entries/game #14 of 20
1.12xG/game #15 of 20
16goals #5 of 20
+4.8finishing vs xG #3 of 20
◆ Vision AI Insight
Sevilla lean left — 40% of their key passes come from that flank and its half-space (33 of 82), most often from Suazo (9). They funnel chances into the c of the final third, most often via LHS att → C att (12 key passes, most often from Suazo). Suazo is the primary source overall. They generate 1.12 xG a game and finish it clinical — they beat their xG, led by Isaac Romero (3G), Miguel Sierra (2G), Félix Correia (2G).
Crosses & Cutbacks — squad-wide
The question
How does Sevilla deliver into the box from wide areas, and what comes of it?
165 crosses: 55 found a team-mate (33%), 15 led to a shot (9%). 27 cut-backs: 13 found a team-mate (48%), 7 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 Sevilla actually cross from?
165 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. 27% come from one territory, the advanced right wing; 8 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · right wing
44
27%
2
byline · left wing
39
24%
2
advanced · left wing
30
18%
4
byline · right wing
20
12%
4
deep · right wing
18
11%
1
deep · left wing
6
4%
1
advanced · left half-space
3
2%
0
byline · right half-space
3
2%
1
byline · left half-space
2
1%
0
Finishing3 sections
Shot Map
123 shots for 11.2 xG (1.12/game, #15 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 12.3 shots/game at 0.091 xG/shot. Box entries 13/game (#6). Threat created 10.3 xT/game (#11).
Goal Sequences
The move behind each of Sevilla’s 16 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 — 16 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Sevilla scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
14 · 88%
Set pieces
0 · 0%
Penalties
2 · 12%
By finish
Right foot
7 · 44%
Left foot
7 · 44%
Header
2 · 12%
Vision AI Model Insight
16 goals scored. 88% 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
How they lose it
Incomplete pass — attacking third
304
Failed forward pass
220
Failed take-on
124
Lost in the defensive third
265
Their weakest zone is the right wing in the attacking third: 40% of 253 pass attempts there are lost (100 times). Separately, 32% 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 Sevilla 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.
83
Pressing Index /100 · elite
Intensity88
PPDA, high-press share, high-zone actions
Height90
how high up the pitch they defend
Effectiveness88
high recoveries & high-regain share
Disruption60
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
17%
RHS
20%
C
21%
LHS
20%
LW
22%
By third (high / mid / low regain)
Def 42%
Mid 40%
Att 18%
Read
Ranked #5 of 20 for press intensity, this is a high press. 58% of defensive actions happen in the middle & attacking thirds, at an average height of 41. Of recoveries, 59% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#5/20
lower = more intense; rank is what matters
Defensive actions / game
170
#1/20
High-press share
28%
#1/20
def actions won high up
Defensive-action height (0–100)
41.7
#2/20
avg pitch height of actions
High recoveries / game
26.2
#2/20
ball won in mid+att third
High-recovery share
59%
#3/20
share of recoveries won high
Opponent completion allowed
83%
#10/20
lower = more disruptive
Opponent progressive allowed
8.0%
#6/20
of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.
How long they keep it — passes and seconds until the ball is won
The question
Once the opponent has the ball, how many passes and how many seconds pass before Sevilla win it back with a defensive action?
Counted over the 332 opposition possessions that Sevilla 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 Sevilla step in. Sevilla win it after 5.3 opponent passes in the first half-hour and after 5.6 after the hour mark (later).
PASSES THEY GET
5.5passes
median 3 · before Sevilla win it
TIME THEY KEEP IT
16sec
median 8s · 33.2 wins per game
How many passes the opponent got in before the ball was won
39%
30%
14%
16%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
5.3
16s
15–30′
5.3
17s
30–45+′
5.2
16s
45–60′
6.0
19s
60–75′
6.4
18s
75–90+′
5.1
14s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Sevilla 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 Sevilla 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) 999 passes
more direct, attacking the next line, trying to break lines
Width of use+0.3021.62
Wide-channel share+0.460.33
Side bias+0.492.00
Pass length+0.9826.25
Long-ball share+1.120.34
Forward gain per pass+1.0716.10
Backward-pass share-1.000.15
Deep-pass share+1.010.38
Completion-0.680.74
Seconds between passes+0.783.80
Side used
left 31% · central 43% · right 26%
Progression (middle third) 1,895 passes
trying to break lines, more direct, attacking the next line
Width of use+0.7327.11
Wide-channel share+0.760.46
Side bias-0.57-2.21
Pass length+1.0818.73
Long-ball share+1.230.15
Forward gain per pass+1.215.43
Backward-pass share-1.060.28
Deep-pass share+1.250.22
Completion-0.710.80
Seconds between passes+1.143.70
Side used
left 34% · central 27% · right 39%
Final third 985 passes
trying to break lines
Width of use+0.0731.79
Wide-channel share+0.260.61
Side bias+0.533.30
Pass length+0.2715.89
Long-ball share+0.490.12
Forward gain per pass+0.621.87
Backward-pass share-0.450.36
Deep-pass share+0.930.12
Completion-0.190.68
Seconds between passes+0.403.70
Side used
left 48% · central 15% · right 37%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Sevilla'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 Sevilla 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 share20%
#4 of 20 · reaches final third in ≤3 passes
Patient build-up share24%
#16 of 20 · spells of 6+ passes
Tempo (possession length)16.3s
#5 of 20 · shorter = faster tempo
Passes per possession4.0
#16 of 20
Counter-attack shots /game1.02
#8 of 20 · shot within 12s of a regain in own half
Press→shot /game2.96
#10 of 20 · shot within 8s of a high regain
Speed to final third after regain11.8s
#5 of 20 · lower = faster break
Sequence success — attacking transition
13attacking transition sequences this season
31%succeed — produce a shot
31%turned over with nothing to show
Sequence success — defensive transition
67defensive transition sequences this season
67%succeed — reach the next third or a shot
13%turned over with nothing to show
Vision AI Model Insight
Sevilla are a direct, fast-break side: 20% of possessions reach the final third in 3 passes or fewer (#4 of 20), against 24% built patiently over 6+ passes (#16 of 20). Winning the ball back leads to a shot inside 12 seconds 1.02 times a game (#8), and a high regain converts to a shot within 8 seconds 2.96 times a game (#10 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 Sevilla? 437 opponent progressive passes and 124 shots faced (12.8 xG against) across the season.
Opponent threat by lane (attacking into Sevilla)
Right wing
25%
Right half-space
13%
Central
16%
Left half-space
15%
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 Sevilla actually come from — open play, dead balls, and who supplies them?
Every goal Sevilla conceded across the loaded matches — the opponent's shots in Sevilla'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 (79 total)
By situation
Open play
14 · 88%
Set pieces
1 · 6%
Penalties
1 · 6%
Vision AI Model Insight
16 goals conceded. 88% come in open play; set pieces account for only 6%, so dead-ball defending is not the main issue. 12% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the centre of the attacking third (18% 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
14 g · 8.7 xG
Set pieces
0 g · 0.9 xG
Penalties
2 g
0% of goals come from set pieces (0 of 16), worth 0.9 xG from 15 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Sevilla's corners go?
34 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)
Delivered into the box 100%Short 0%
Left side (17)
Delivered into the box 88%Short 12%
Where opponents attack Sevilla from set pieces
16 shots from opponent corners against Sevilla, 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)
Shot 8Goals 0
Left flag (8)
Shot 8Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
press intensity (PPDA) — 5.18 (75th pct)
progression /game — 46.30 (70th pct)
box entries /game — 12.70 (70th pct)
field tilt % — 51.16 (65th pct)
Weaknesses (bottom-third vs league)
pass retention % — 75.69 (5th pct)
xG created /game — 1.12 (25th 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.
Alaves
82%
Espanyol
70%
Getafe
68%
Osasuna
60%
Rayo Vallecano
27%
Performance vs Opponent Styles
The question
Not just how Sevilla 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 Sevilla's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (3m)
2.00
1.00
2.33
vs mid-block opponents (3m)
1.67
3.00
0.33
vs low-block opponents (4m)
1.25
1.00
2.25
Behaviour — how Sevilla actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
71%
23%
39
8.5
10.7
vs mid-block opponents
76%
19%
45
10.8
14.7
vs low-block opponents
78%
17%
53
11.3
12.8
Vision AI Model Insight
Facing a high press, retention drops to 71% vs 78% against a low block (7pt lower under pressure), and directness (long-ball share) sits at 23% when pressed vs 17% 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. Sevilla are balanced-territory with a aggressive high-press.
Their attack creates 1.12 xG a game and they concede 1.28 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 Sevilla’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.
Sevilla
across 10 matches this season
PPDAat Real Madrid · 1-4 · 2026-10-188.8avg 5.2
Progressive passesat Athletic Club · 3-1 · 2026-08-2229avg 46
Threat from passingvs Valencia · 1-0 · 2026-09-119.03avg 6.23
Final-third entriesat Athletic Club · 3-1 · 2026-08-2221avg 38
Field tiltat Athletic Club · 3-1 · 2026-08-2222%avg 51%
Defensive actionsat Athletic Club · 3-1 · 2026-08-22218avg 170
Progressive carriesvs Barcelona · 1-3 · 2026-09-1919avg 34
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 Sevilla’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).
+15.1on-ball value, 10 matches
Where the value came from
Passes3879 actions+4.75
Carries831 actions+0.87
Dribbles210 actions-0.29
Shots123 actions+5.86
Ball wins644 actions+3.87
Most on-ball value (OBV)
Actions
OBV
per 100
Youssouf Fofana
310
+2.28
+0.74
Kike Salas
495
+1.41
+0.28
Lucien Agoumé
625
+1.35
+0.22
Gabriel Suazo
660
+1.25
+0.19
Juan Iglesias
557
+1.15
+0.21
Miguel Sierra
315
+1.08
+0.34
Peque Fernández
107
+1.08
+1.01
Andrés Castrín
471
+0.82
+0.17
Biggest single moves
OBV
1 Jon Guridi · shot
+0.776
2 Peque Fernández · shot
+0.724
3 Robbie Ure · pass
+0.428
4 Lucas Stassin · shot
+0.386
5 Andrés Castrín · shot
+0.316
6 Youssouf Fofana · shot
+0.273
Set Pieces by Player
Who delivers Sevilla’s dead balls and who finishes them this season. 34 corners taken, most by Félix Correia (10); 15 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.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Félix Correia
10
9 (90%)
—
—
0.00
—
—
Kike Salas
—
—
3
—
0.20
—
—
Andrés Castrín
—
—
3
—
0.30
—
—
Gabriel Suazo
5
3 (60%)
1
—
0.04
—
—
Giorgi Kochorashvili
4
4 (100%)
1
—
0.03
—
—
Jon Guridi
—
—
1
—
0.06
—
1/1
Youssouf Fofana
—
—
2
—
0.04
2
—
Oso
2
2 (100%)
1
—
0.05
1
—
Peque Fernández
1
0 (0%)
—
—
0.00
—
1/1
Miguel Sierra
3
3 (100%)
—
—
0.00
—
—
Rubén Vargas
3
3 (100%)
—
—
0.00
—
—
Juan Iglesias
—
—
1
—
0.11
—
—
Robbie Ure
—
—
1
—
0.06
—
—
Lucas Stassin
—
—
1
—
0.04
—
—
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.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Gabriel Suazo
D
973
1.29
26
17.5
Félix Correia
M
448
1.41
17
5.7
Juan Iglesias
D
951
0.57
16
13.0
Youssouf Fofana
M
581
1.08
10
4.6
Miguel Sierra
M
559
0.97
9
3.6
Robbie Ure
F
592
0.61
7
1.3
Lucien Agoumé
M
973
0.28
8
11.2
Chidera Ejuke
M
368
0.73
5
0.9
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)
Juan Iglesias
FB
951
40 (30%)
4 (50%)
Gabriel Suazo
FB
973
16 (69%)
8 (50%)
Félix Correia
W
448
10 (50%)
6 (33%)
Miguel Sierra
W
559
7 (29%)
1 (0%)
Chidera Ejuke
W
368
0
3 (67%)
Julio Díaz
W
137
1 (100%)
2 (50%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Lucien Agoumé
M
973
185
32
15
55
Juan Iglesias
D
951
177
32
8
31
Kike Salas
D
782
177
15
4
36
Gabriel Suazo
D
973
164
26
9
44
Andrés Castrín
D
812
123
9
7
36
Miguel Sierra
M
559
110
14
1
28
Robbie Ure
F
592
83
1
0
11
Isaac Romero
F
342
83
8
1
16
Full Squad Data
Every player with 100+ minutes (22 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Odysseas Vlachodimos
G
10
973
0
0.0
0
39
28
9.1
Gabriel Suazo
D
10
973
0
0.1
14
96
164
17.5
Lucien Agoumé
M
10
973
0
0.4
3
37
185
11.2
Juan Iglesias
D
10
951
1
0.5
6
70
177
13.0
Andrés Castrín
D
9
812
0
0.3
3
28
123
8.2
Kike Salas
D
8
782
0
0.4
2
43
177
10.2
Robbie Ure
F
10
592
1
1.4
4
2
83
1.3
Youssouf Fofana
M
7
581
1
1.0
7
15
74
4.6
Miguel Sierra
M
8
559
2
0.8
6
21
110
3.6
Félix Correia
M
6
448
2
1.4
7
27
57
5.7
Jon Guridi
M
8
380
1
1.0
2
8
60
1.7
Chidera Ejuke
M
8
368
1
0.6
3
4
46
0.9
Isaac Romero
F
8
342
3
0.7
4
9
83
1.7
Arouna Sangante
D
4
337
0
0.0
1
7
52
2.3
Lucas Stassin
F
5
305
1
0.7
3
2
35
0.6
Giorgi Kochorashvili
M
6
293
0
0.2
4
14
51
3.9
Peque Fernández
M
4
224
1
1.2
4
3
36
1.5
Oso
M
2
154
1
0.2
1
5
35
0.9
Julio Díaz
M
5
137
0
0.0
2
7
21
1.0
José Ángel Carmona
D
5
118
0
0.0
1
11
18
1.3
Manu Bueno
M
4
113
1
0.2
1
7
18
1.2
Rubén Vargas
M
3
101
0
0.1
3
4
17
1.0
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.
Odysseas Vlachodimos
Goalkeeper · Goalkeeper
minutes973
goals · xG0 · 0.0
prog passes /903.6
key passes /900.00
def actions /902.6
pass accuracy59%
Gabriel Suazo
Ball-playing defender · Defender
minutes973
goals · xG0 · 0.1
prog passes /908.9
key passes /901.29
def actions /9015.2
pass accuracy80%
Lucien Agoumé
Ball-winner / destroyer · Midfielder
minutes973
goals · xG0 · 0.4
prog passes /903.4
key passes /900.28
def actions /9017.1
pass accuracy83%
Juan Iglesias
Ball-playing defender · Defender
minutes951
goals · xG1 · 0.5
prog passes /906.6
key passes /900.57
def actions /9016.8
pass accuracy67%
Andrés Castrín
Stopper / marker · Defender
minutes812
goals · xG0 · 0.3
prog passes /903.1
key passes /900.33
def actions /9013.6
pass accuracy88%
Kike Salas
Ball-playing defender · Defender
minutes782
goals · xG0 · 0.4
prog passes /904.9
key passes /900.23
def actions /9020.4
pass accuracy77%
Robbie Ure
Ball-winner / destroyer · Midfielder
minutes592
goals · xG1 · 1.4
prog passes /900.3
key passes /900.61
def actions /9012.6
pass accuracy77%
Youssouf Fofana
Ball-winner / destroyer · Midfielder
minutes581
goals · xG1 · 1.0
prog passes /902.3
key passes /901.08
def actions /9011.5
pass accuracy82%
Miguel Sierra
Ball-winner / destroyer · Midfielder
minutes559
goals · xG2 · 0.8
prog passes /903.4
key passes /900.97
def actions /9017.7
pass accuracy71%
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: pass retention % (5th pct)
Sign a secure ball-retaining midfielder. The data flags this because possession is turned over cheaply (75.69, 5th percentile vs the league).
Need — bottom-third: xG created /game (25th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (1.12, 25th percentile vs the league).
Need — below-average: shots /game (40th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (12.30, 40th percentile vs the league).