Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2026
Celta Vigo
A balanced-territory side, aggressive high-press out of possession, with a low-output attack. Currently #9 of 20 on 12 points (2-6-2, 10:7). 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 Celta Vigo and how good was the season?
Read. Celta Vigo currently sit #9 of 20 on 12 points (2W-6D-2L, 1.20 pts/game), scoring 10 and conceding 7 for a goal difference of +3.
On the ball they are a balanced-territory team (50% field tilt, #8 in the league); off it they defend with a aggressive high-press (#15 of 20 for press intensity).
Across the 10 matches of event data, they create 0.82 xG/game (#19) and concede 1.16 (#6), a net of -0.34 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Celta Vigo actually finish, and against whom?
The authoritative final table (full season), centred on Celta Vigo.
#
team
P
W
D
L
GF
GA
GD
Pts
6
Sevilla
9
4
2
3
14
16
-2
14
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
10
Villarreal
10
3
3
4
15
14
+1
12
11
Deportivo
10
2
5
3
13
13
+0
11
12
Osasuna
9
3
2
4
10
18
-8
11
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Celta Vigo 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
Celta Vigo tend to fade after a strong start — first-half net xG -0.92, second-half -2.49. Their strongest period is 31-45' (net +0.23 xG); their most dangerous period to face is 61-75' (net -1.50 xG against them).
xG Race — the season, match by match
Expected goals piling up over 10 matches: Celta Vigo against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (-3.4 xG). Hover a point for that match.
Celta VigoOpponents against Celta Vigo
Tactical DNA
The football question
In five genes, what is Celta Vigo'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.
68
Build-Up
possession control from the back
62
Progression
moving the ball upfield with threat
7
Creation
manufacturing chances
42
Press
winning the ball high & hard
70
Solidity
resisting the opponent's threat
Genetic identity
Celta Vigo are defined most by their Solidity DNA (70/100 · strong at resisting the opponent's threat), and least by their Creation DNA (7/100). 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
83%
Possession
57%
Field tilt
35%
Disrupt
Central progression ~proxy
78%
Dribble tendency
4%
Progressive passes
74%
Finish
Final-third patience
96%
Shot quality
87%
Open-play xG
26%
Press
Forward press ~proxy
0%
High regains
22%
Pressing efficiency ~proxy
30%
Defend
Def-mid press ~proxy
0%
High line ~proxy
9%
PAdj defensive actions
0%
Celta Vigo is defined most by Finish (70% in the league) and weakest on Defend (3%). 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 Celta Vigo actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Celta Vigo'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; Celta Vigo highlighted. Hover any dot for the team.
Vision AI Model Insight
Celta Vigo post 50% field tilt, ranking #8 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.20 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 Celta Vigo has the ball, how much of that time is spent building, progressing and creating?
The share of Celta Vigo'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
28.1%
Progression
49.7%
Chance creation
20.0%
Attacking transition
2.2%
Vision AI Model Insight
Progression is where Celta Vigo 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
Alonso ↔ Lago
152p · -1.2xT
Alonso ↔ Galán
127p · -0.1xT
Moriba ↔ Román
88p · 0.1xT
Alonso ↔ Moriba
85p · 0.1xT
Alonso ↔ Carreira
80p · 0.0xT
Radu ↔ Lago
79p · -0.4xT
Moriba ↔ Lago
75p · 0.1xT
Alonso ↔ Radu
72p · -0.2xT
Román ↔ Lago
57p · 0.2xT
Alonso ↔ Román
56p · -0.9xT
Vision AI Model Insight
Busiest connection: Marcos Alonso ↔ Yoel Lago (152 passes). Most dangerous per pass: Sergio Carreira ↔ Ferran Jutglà (0.04 xT/pass over 31 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Celta Vigo 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 Celta Vigo 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
5346
ACTIONS
Carries
the ball moved with a player
1407
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (13.5% of all actions). 68% of actions run through the inside lanes (centre + both half-spaces) versus 32% down the two wings — an inside-dominant, half-space build. By third: 28% defensive, 50% middle, 22% 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. Celta Vigo spread it evenly (no channel above 37%). The bars under the pitch put the league’s share beside theirs.
Celta Vigo
37%27%36%
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. Celta Vigo made 519 this season (51.9 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
151
15.1
29%
29%
Left half-space
58
5.8
11%
15%
Centre
81
8.1
16%
12%
Right half-space
97
9.7
19%
15%
Right wing
132
13.2
25%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Celta Vigo progress possession from defence into attack — and who runs it?
Build-up passes grouped into 5 real categories — not the old zone grid, not raw individual lines: CB (passer is a centre-back), Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
1541build-up passes attempted
84%completed
25%reach the middle third
2%go long into the final third
Pass types
668CB · 51%
68Long Wide · 5%
9Long Central · 1%
401Wide → FB · 31%
155Central · 12%
Sequence success — build-up
143build-up sequences this season
10%succeed — reach the next third or a shot
40%turned over with nothing to show
CB668 · 51%
Long Wide68 · 5%
Long Central9 · 1%
Wide → FB401 · 31%
Central155 · 12%
◆ Vision AI Insight
Celta Vigo build predominantly down the left, with Radu as the fulcrum (253 build-up passes). Only 27% 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 (115×).
Pass Explorer
Every pass of Celta Vigo’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. 442 progressive passes across 10 matches (44.2/game).
Origin lane
Right wing
28%
Right half-space
19%
Central
14%
Left half-space
10%
Left wing
29%
Progression is right-dominant: 47% right side · 14% central · 39% left.
Who generates it
Marcos Alonso
55 · 12%
Javi Rueda
42 · 10%
Sergio Carreira
40 · 9%
Miguel Román
36 · 8%
Yoel Lago
33 · 7%
Top two — Marcos Alonso & Javi Rueda — account for 22% of all progression.
PROGRESSION
44.2 prog passes/game
mostly right
→
PENETRATION
29% reach final third
14% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it.29% of progressive passes reached the final third and 14% the box; the rest was recycled in front of the block. 22% 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
Centralsterile
Left half-spacesterile
Left wingbalanced
Progression — the pass map
The football question
Once Celta Vigo 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.
2594progression passes attempted
89%completed
17%break into the final third
11%go backward into the defensive third
Pass types
942CB · 41%
81Long Wide · 4%
9Long Central · 0%
934Wide → FB · 40%
346Central · 15%
Sequence success — progression
209progression sequences this season
33%succeed — reach the next third or a shot
40%turned over with nothing to show
CB942 · 41%
Long Wide81 · 4%
Long Central9 · 0%
Wide → FB934 · 40%
Central346 · 15%
◆ Vision AI Insight
Celta Vigo progress predominantly down the left, with Lago the busiest midfield outlet (317 progression passes). Only 17% of passes that start in midfield actually break the final-third line — the rest (72%) 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 (164×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
13%
Progressive
1%
Neutral / sideways
47%
Safe / backward
38%
14% of passes are progressive-or-better; the remaining 86% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Celta Vigo actually progress the ball with their feet, not a pass?
358 progressive carries this season across the whole squad (25% of 1407 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 14m, longest 44m. Most active carrier: Alonso (62). Filter to one player below.
First (140)Second (106)Third (64)Fourth (48)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 Celta Vigo'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.
97shots
8.2xG
0.08xG per shot
3big chances (0.3+ xG)
10goals
#16key 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 transition20% of shots
19
4
1.90
0.10
Cross
1
0
0.32
0.32
Long ball
1
0
0.09
0.09
Pass into the box / short pass
11
4
1.29
0.12
Own creation (carry, dribble, rebound)
6
0
0.20
0.03
Settled attack63% of shots
61
4
4.75
0.08
Cross
10
0
0.99
0.10
Cut-back
6
0
0.50
0.08
Pass into the box / short pass
31
3
2.38
0.08
Own creation (carry, dribble, rebound)
14
1
0.88
0.06
Set piece18% of shots
17
2
1.56
0.09
Corner
15
1
0.75
0.05
Free kick
1
0
0.02
0.02
Penalty
1
1
0.79
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
Hugo Álvarez
9
1.18
2
Javi Galán
6
0.64
0
Sergio Carreira
4
0.58
0
Javi Rueda
7
0.55
0
Williot Swedberg
6
0.42
0
Who takes them
Player
Shots
xG
Goals
Hugo González
11
1.37
1
Pablo Durán
7
1.06
2
Ferran Jutglà
10
0.89
2
Williot Swedberg
4
0.57
0
Hugo Burcio
3
0.49
0
Vision AI Model Insight
The biggest source of Celta Vigo's chances, by xG, is settled attack (4.8 of 8.2 xG, 61 of 97 shots), mostly pass into the box / short pass. 19 of the 97 shots (20%) came within 15 seconds of winning the ball. 17 of the 97 shots came from set pieces; 10 goals from 8.2 xG (+1.8).
Chance Creation — the pass map
The football question
How does Celta Vigo 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%
2Long Wide · 3%
4Long Central · 6%
27Wide → FB · 38%
35Central · 49%
Sequence success — final-third
154final-third sequences this season
13%succeed — produce a shot
44%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%
Long Wide2 · 3%
Long Central4 · 6%
Wide → FB27 · 38%
Central35 · 49%
Who creates — volume × threat
12González
9Álvarez
7Rueda
7Galán
7Román
5Swedberg
4Aspas
71key passes #16 of 20
9.1box entries/game #17 of 20
42.1final-3rd entries/game #5 of 20
0.82xG/game #19 of 20
10goals #16 of 20
+1.8finishing vs xG #10 of 20
◆ Vision AI Insight
Celta Vigo lean right — 49% of their key passes come from that flank and its half-space (35 of 71), most often from González (8). They funnel chances into the c of the final third, most often via RHS att → C att (12 key passes, most often from Álvarez). González is the primary source overall. They generate 0.82 xG a game and finish it clinical — they beat their xG, led by Ferran Jutglà (2G), Pablo Durán (2G), Miguel Román (1G).
Crosses & Cutbacks — squad-wide
The question
How does Celta Vigo deliver into the box from wide areas, and what comes of it?
91 crosses: 36 found a team-mate (40%), 13 led to a shot (14%). 30 cut-backs: 9 found a team-mate (30%), 6 led to a shot (20%). 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 Celta Vigo actually cross from?
91 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. 25% come from one territory, the byline left wing; 1 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · left wing
23
25%
5
advanced · left wing
21
23%
3
byline · right wing
20
22%
2
advanced · right wing
17
19%
2
deep · right wing
6
7%
0
deep · left wing
3
3%
1
byline · left half-space
1
1%
0
Finishing3 sections
Shot Map
97 shots for 8.2 xG (0.82/game, #19 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Low-output attack. 9.7 shots/game at 0.085 xG/shot. Box entries 9/game (#17). Threat created 10.8 xT/game (#7).
Goal Sequences
The move behind each of Celta Vigo’s 10 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 — 10 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Celta Vigo scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
8 · 80%
Set pieces
1 · 10%
Penalties
1 · 10%
By finish
Right foot
5 · 50%
Left foot
4 · 40%
Header
1 · 10%
Vision AI Model Insight
10 goals scored. 80% come in open play; set pieces add 10%. 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
253
Failed forward pass
172
Failed take-on
96
Lost in the defensive third
240
Their weakest zone is the right half-space in the attacking third: 24% of 229 pass attempts there are lost (55 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 Celta Vigo 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.
41
Pressing Index /100 · average
Intensity30
PPDA, high-press share, high-zone actions
Height55
how high up the pitch they defend
Effectiveness48
high recoveries & high-regain share
Disruption32
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
15%
RHS
22%
C
31%
LHS
15%
LW
16%
By third (high / mid / low regain)
Def 48%
Mid 39%
Att 14%
Read
Ranked #15 of 20 for press intensity, this is a high press. 52% of defensive actions happen in the middle & attacking thirds, at an average height of 38. 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)
—
#15/20
lower = more intense; rank is what matters
Defensive actions / game
139
#19/20
High-press share
22%
#11/20
def actions won high up
Defensive-action height (0–100)
38.6
#9/20
avg pitch height of actions
High recoveries / game
21.0
#11/20
ball won in mid+att third
High-recovery share
52%
#10/20
share of recoveries won high
Opponent completion allowed
85%
#19/20
lower = more disruptive
Opponent progressive allowed
8.1%
#8/20
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 Celta Vigo win it back with a defensive action?
Counted over the 286 opposition possessions that Celta Vigo 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 Celta Vigo step in. Celta Vigo win it after 7.2 opponent passes in the first half-hour and after 6.1 after the hour mark (sooner).
PASSES THEY GET
6.3passes
median 4 · before Celta Vigo win it
TIME THEY KEEP IT
19sec
median 10s · 28.6 wins per game
How many passes the opponent got in before the ball was won
39%
21%
18%
23%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
7.4
19s
15–30′
6.9
21s
30–45+′
6.1
19s
45–60′
5.1
15s
60–75′
6.6
19s
75–90+′
5.8
17s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Celta Vigo 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 Celta Vigo are genuinely unusual, and a verdict is only written where something clears
0.85 sd — a side that is ordinary in a third is told so rather than given a label
for average play.
Build-up (own third) 1,541 passes
narrow, central
Width of use-0.8819.18
Wide-channel share-0.670.26
Side bias+0.110.58
Pass length-0.2521.79
Long-ball share-0.640.17
Forward gain per pass-0.409.72
Backward-pass share-0.350.18
Deep-pass share-0.430.25
Completion+0.590.84
Seconds between passes-0.373.10
Side used
left 28% · central 48% · right 24%
Progression (middle third) 2,594 passes
played inside, narrow, central
Width of use-1.2822.86
Wide-channel share-1.390.30
Side bias-0.13-0.47
Pass length+0.5317.97
Long-ball share-0.270.09
Forward gain per pass-0.482.88
Backward-pass share+0.400.35
Deep-pass share-0.300.15
Completion+0.760.89
Seconds between passes+0.693.50
Side used
left 32% · central 35% · right 33%
Final third 1,211 passes
safer, played inside, circulating
Width of use-1.0429.05
Wide-channel share-1.100.49
Side bias-0.09-1.07
Pass length+0.1415.68
Long-ball share-0.660.07
Forward gain per pass-1.10-0.43
Backward-pass share+1.020.45
Deep-pass share-0.030.09
Completion+1.140.79
Seconds between passes-0.133.30
Side used
left 37% · central 22% · right 41%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Celta Vigo'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 Celta Vigo 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 share14%
#20 of 20 · reaches final third in ≤3 passes
Patient build-up share35%
#3 of 20 · spells of 6+ passes
Tempo (possession length)20.0s
#16 of 20 · shorter = faster tempo
Passes per possession5.5
#3 of 20
Counter-attack shots /game0.75
#20 of 20 · shot within 12s of a regain in own half
Press→shot /game2.15
#20 of 20 · shot within 8s of a high regain
Speed to final third after regain13.7s
#15 of 20 · lower = faster break
Sequence success — attacking transition
9attacking transition sequences this season
22%succeed — produce a shot
56%turned over with nothing to show
Sequence success — defensive transition
45defensive transition sequences this season
71%succeed — reach the next third or a shot
9%turned over with nothing to show
Vision AI Model Insight
Celta Vigo are a patient build-up side: 14% of possessions reach the final third in 3 passes or fewer (#20 of 20), against 35% built patiently over 6+ passes (#3 of 20). Winning the ball back leads to a shot inside 12 seconds 0.75 times a game (#20), and a high regain converts to a shot within 8 seconds 2.15 times a game (#20 of 20) — not yet a major source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Celta Vigo? 452 opponent progressive passes and 135 shots faced (11.6 xG against) across the season.
Opponent threat by lane (attacking into Celta Vigo)
Right wing
27%
Right half-space
13%
Central
24%
Left half-space
12%
Left wing
23%
Where the danger came from. Opponents generated most of their threat through the right wing (27% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Celta Vigo actually come from — open play, dead balls, and who supplies them?
Every goal Celta Vigo conceded across the loaded matches — the opponent's shots in Celta Vigo'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 (85 total)
By situation
Open play
4 · 57%
Set pieces
2 · 29%
Penalties
1 · 14%
Vision AI Model Insight
7 goals conceded. 57% come in open play, and 29% from set pieces — a genuine defensive frailty at dead balls to fix on the training ground. 14% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right wing of the attacking third (21% 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
8 g · 6.7 xG
Set pieces
1 g · 0.8 xG
Penalties
1 g
10% of goals come from set pieces (1 of 10), worth 0.8 xG from 16 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Celta Vigo's corners go?
28 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 (16)
Delivered into the box 100%Short 0%
Left side (12)
Delivered into the box 100%Short 0%
Where opponents attack Celta Vigo from set pieces
22 shots from opponent corners against Celta Vigo, 2 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (12)
Shot 12Goals 1
Left flag (10)
Shot 10Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
pass retention % — 85.50 (75th pct)
xG conceded /game — 1.16 (70th pct)
threat created /game — 10.78 (65th pct)
Weaknesses (bottom-third vs league)
shots /game — 9.70 (0th pct)
xG created /game — 0.82 (5th pct)
box entries /game — 9.10 (15th pct)
press intensity (PPDA) — 6.17 (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.
Malaga
63%
Deportivo
59%
Real Sociedad
40%
Valencia
33%
Elche
23%
Performance vs Opponent Styles
The question
Not just how Celta Vigo 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 Celta Vigo's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (3m)
0.67
0.33
1.67
vs mid-block opponents (3m)
0.67
1.00
0.67
vs low-block opponents (4m)
1.50
0.75
1.25
Behaviour — how Celta Vigo actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
84%
13%
35
9.1
5.7
vs mid-block opponents
86%
10%
48
10.7
11.7
vs low-block opponents
86%
10%
48
12.1
9.8
Vision AI Model Insight
Facing a high press, retention drops to 84% vs 86% against a low block (2pt lower under pressure), and directness (long-ball share) sits at 13% when pressed vs 10% against a low block — a mild adjustment, not a wholesale change.
Scouting Summary — the team in brief
In brief. Celta Vigo are balanced-territory with a aggressive high-press.
Their attack creates 0.82 xG a game and they concede 1.16 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 Celta Vigo’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.
Threat from passingvs Osasuna · 1-2 · 2026-08-271.76avg 4.53
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 Celta Vigo’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).
+13.6on-ball value, 10 matches
Where the value came from
Passes5346 actions+6.07
Carries1407 actions+0.48
Dribbles147 actions-0.09
Shots97 actions+4.42
Ball wins580 actions+2.75
Most on-ball value (OBV)
Actions
OBV
per 100
Hugo Álvarez
281
+1.50
+0.53
Hugo González
156
+1.37
+0.88
Miguel Román
566
+1.17
+0.21
Yoel Lago
813
+1.16
+0.14
Sergio Carreira
538
+1.11
+0.21
Marcos Alonso
798
+1.05
+0.13
Ionut Radu
398
+1.05
+0.26
Javi Rodríguez
441
+1.03
+0.23
Biggest single moves
OBV
1 Hugo González · shot
+0.684
2 Hugo Álvarez · pass
+0.403
3 Williot Swedberg · shot
+0.336
4 Yoel Lago · pass
+0.259
5 Ferran Jutglà · shot
+0.252
6 Hugo González · pass
+0.214
Set Pieces by Player
Who delivers Celta Vigo’s dead balls and who finishes them this season. 28 corners taken, most by Hugo González (12); 16 shots from corners and free kicks, 1 goals, led by Carl Starfelt (1 goals, 0.21 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
Hugo González
12
12 (100%)
1
—
0.02
1
1/1
Miguel Román
11
10 (91%)
2
—
0.04
—
—
Carl Starfelt
—
—
3
1
0.21
—
—
Marcos Alonso
—
—
2
—
0.15
—
—
Yoel Lago
—
—
2
—
0.14
—
—
Javi Rueda
—
—
2
—
0.09
—
—
Álvaro Núñez
2
1 (50%)
1
—
0.01
—
—
Iago Aspas
1
0 (0%)
1
—
0.04
—
—
Sergio Carreira
—
—
1
—
0.02
—
—
Ferran Jutglà
—
—
1
—
0.05
—
—
Hugo Álvarez
1
1 (100%)
—
—
0.00
—
—
Javi Galán
1
1 (100%)
—
—
0.00
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 270 minutes). Coloured chips are that player's strongest capability blocks.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Hugo González
F
290
3.72
12
4.3
Hugo Álvarez
F
514
1.58
11
5.1
Sergio Carreira
M
636
0.57
13
9.1
Javi Galán
M
408
1.54
10
5.3
Javi Rueda
M
596
1.06
8
5.5
Miguel Román
M
609
1.03
5
9.3
Williot Swedberg
F
422
1.07
6
1.6
Iago Aspas
F
291
1.24
4
4.1
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)
Javi Rueda
W
596
6 (50%)
9 (22%)
Hugo Álvarez
W
514
9 (56%)
0
Hugo González
W
290
3 (0%)
2 (100%)
Iago Aspas
W
291
1 (0%)
3 (33%)
Williot Swedberg
W
422
0
3 (33%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Yoel Lago
D
900
177
14
16
36
Marcos Alonso
D
684
125
11
11
36
Ilaix Moriba
M
750
119
19
8
35
Javi Rueda
M
596
96
7
8
26
Sergio Carreira
M
636
74
4
7
28
Ferran Jutglà
F
605
74
4
1
16
Miguel Román
M
609
67
9
2
31
Aleix Febas
M
380
66
11
1
19
Full Squad Data
Every player with 100+ minutes (22 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Ionut Radu
G
10
945
0
0.0
0
26
45
6.8
Yoel Lago
D
10
900
0
0.1
0
33
177
10.7
Ilaix Moriba
M
10
750
1
0.3
3
20
119
6.9
Marcos Alonso
D
8
684
0
0.4
0
55
125
12.4
Sergio Carreira
M
10
636
0
0.4
4
40
74
9.1
Miguel Román
M
7
609
1
0.2
7
36
67
9.3
Ferran Jutglà
F
10
605
2
0.9
3
6
74
1.0
Javi Rueda
M
10
596
0
0.2
7
42
96
5.5
Hugo Álvarez
F
8
514
0
0.2
9
31
47
5.1
Javi Rodríguez
D
6
440
1
0.2
2
24
49
7.5
Williot Swedberg
F
9
422
0
0.6
5
4
60
1.6
Javi Galán
M
8
408
0
0.0
7
28
58
5.3
Pablo Durán
F
7
385
2
1.1
2
4
33
0.8
Aleix Febas
M
5
380
0
0.0
0
4
66
2.1
Álvaro Núñez
D
4
360
0
0.1
1
29
42
6.1
Iago Aspas
F
8
291
1
0.5
4
15
26
4.1
Hugo González
F
5
290
1
1.4
12
17
24
4.3
Sebastián Cáceres
D
3
264
0
0.0
0
10
56
3.1
Carl Starfelt
D
3
235
1
0.3
1
6
50
3.2
Couhaib Driouech
F
5
172
0
0.2
3
6
27
0.5
Jones El Abdellaoui
F
3
160
0
0.3
0
0
13
0.1
Hugo Burcio
M
5
125
0
0.5
0
6
29
1.5
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.
Ionut Radu
Goalkeeper · Goalkeeper
minutes945
goals · xG0 · 0.0
prog passes /902.5
key passes /900.00
def actions /904.3
pass accuracy76%
Yoel Lago
Stopper / marker · Defender
minutes900
goals · xG0 · 0.1
prog passes /903.3
key passes /900.00
def actions /9017.7
pass accuracy93%
Ilaix Moriba
Ball-winner / destroyer · Midfielder
minutes750
goals · xG1 · 0.3
prog passes /902.4
key passes /900.36
def actions /9014.3
pass accuracy93%
Marcos Alonso
Ball-playing defender · Defender
minutes684
goals · xG0 · 0.4
prog passes /907.2
key passes /900.00
def actions /9016.4
pass accuracy89%
Sergio Carreira
Box-to-box midfielder · Midfielder
minutes636
goals · xG0 · 0.4
prog passes /905.7
key passes /900.57
def actions /9010.5
pass accuracy80%
Miguel Román
Ball-winner / destroyer · Midfielder
minutes609
goals · xG1 · 0.2
prog passes /905.3
key passes /901.03
def actions /909.9
pass accuracy86%
Ferran Jutglà
Ball-winner / destroyer · Midfielder
minutes605
goals · xG2 · 0.9
prog passes /900.9
key passes /900.45
def actions /9011.0
pass accuracy71%
Javi Rueda
Deep-lying playmaker · Midfielder
minutes596
goals · xG0 · 0.2
prog passes /906.3
key passes /901.06
def actions /9014.5
pass accuracy78%
Hugo Álvarez
Advanced creator · Attacking mid
minutes514
goals · xG0 · 0.2
prog passes /905.4
key passes /901.58
def actions /908.2
pass accuracy84%
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: shots /game (0th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (9.70, 0th percentile vs the league).
Need — bottom-third: xG created /game (5th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (0.82, 5th percentile vs the league).
Need — bottom-third: box entries /game (15th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (9.10, 15th percentile vs the league).