Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2025/26
Celta Vigo
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Finished #6 of 23 on 66 points (16-18-14, 63:55). Tactical profile below is built from 48 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 finished #6 of 23 on 66 points (16W-18D-14L, 1.38 pts/game), scoring 63 and conceding 55 for a goal difference of +8.
On the ball they are a balanced-territory team (46% field tilt, #15 in the league); off it they defend with a aggressive high-press (#23 of 23 for press intensity).
Across the 48 matches of event data, they create 1.11 xG/game (#17) and concede 1.29 (#12), a net of -0.19 xG/game — the underlying performance diverges from 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
3
Atletico
48
29
7
12
82
52
+30
94
4
Villarreal
48
25
9
14
87
60
+27
84
5
Real Betis
48
21
17
10
75
62
+13
80
6
Celta Vigo
48
16
18
14
63
55
+8
66
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
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 come alive after the break — first-half net xG -6.13, second-half -2.83. Their strongest period is 76-90+' (net +2.23 xG); their most dangerous period to face is 31-45' (net -3.52 xG against them).
xG Race — the season, match by match
Expected goals piling up over 48 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 (-9.0 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.
61
Build-Up
possession control from the back
74
Progression
moving the ball upfield with threat
19
Creation
manufacturing chances
17
Press
winning the ball high & hard
48
Solidity
resisting the opponent's threat
Genetic identity
Celta Vigo are defined most by their Progression DNA (74/100 · strong at moving the ball upfield with threat), and least by their Press DNA (17/100). 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
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 46% field tilt, ranking #15 of 23 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.38 points/game sits above 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 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
27.5%
Progression
49.0%
Chance creation
21.1%
Attacking transition
2.3%
Vision AI Model Insight
Progression is where Celta Vigo spends most of its time on the ball (49% 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 ↔ Carreira
767p · 40.4xT
Alonso ↔ Radu
324p · 18.7xT
Mingueza ↔ Rodríguez
311p · 15.3xT
Alonso ↔ Mingueza
298p · 17.4xT
Alonso ↔ Moriba
261p · 10.1xT
Alonso ↔ Rodríguez
234p · 3.7xT
Rueda ↔ Rodríguez
208p · 11.9xT
Alonso ↔ Álvarez
208p · 14.4xT
Carreira ↔ Moriba
200p · 9.1xT
Mingueza ↔ Moriba
179p · 7.6xT
Vision AI Model Insight
Busiest connection: Marcos Alonso ↔ Sergio Carreira (767 passes). Most dangerous per pass: Sergio Carreira ↔ Pablo Durán (0.13 xT/pass over 87 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 479 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
25537
ACTIONS
Carries
the ball moved with a player
7199
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (13.4% of all actions). 66% of actions run through the inside lanes (centre + both half-spaces) versus 34% down the two wings — an inside-dominant, half-space build. By third: 29% defensive, 50% 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. Celta Vigo leaned on their left (38%). The bars under the pitch put the league’s share beside theirs.
Celta Vigo
38%27%36%
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. Celta Vigo made 2277 this season (47.4 a match); 28% 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
645
13.4
28%
30%
Left half-space
344
7.2
15%
15%
Centre
356
7.4
16%
12%
Right half-space
364
7.6
16%
14%
Right wing
568
11.8
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.
7535build-up passes attempted
83%completed
26%reach the middle third
1%go long into the final third
Pass types
3442CB · 55%
272Long Wide · 4%
68Long Central · 1%
1878Wide → FB · 30%
588Central · 9%
Sequence success — build-up
1272build-up sequences this season
11%succeed — reach the next third or a shot
44%turned over with nothing to show
CB3442 · 55%
Long Wide272 · 4%
Long Central68 · 1%
Wide → FB1878 · 30%
Central588 · 9%
◆ Vision AI Insight
Celta Vigo build predominantly down the left, with Radu as the fulcrum (1097 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 (513×).
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. 2142 progressive passes across 48 matches (44.6/game).
Origin lane
Right wing
29%
Right half-space
16%
Central
14%
Left half-space
12%
Left wing
29%
Progression is right-dominant: 45% right side · 14% central · 41% left.
Who generates it
Sergio Carreira
258 · 12%
Óscar Mingueza
230 · 11%
Marcos Alonso
215 · 10%
Javi Rodríguez
162 · 8%
Javi Rueda
141 · 7%
Top two — Sergio Carreira & Óscar Mingueza — account for 23% of all progression.
PROGRESSION
44.6 prog passes/game
mostly right
→
PENETRATION
29% reach final third
16% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it.29% of progressive passes reached the final third and 16% 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 wingefficient
Right half-spacebalanced
Centralsterile
Left half-spacebalanced
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.
12535progression passes attempted
89%completed
16%break into the final third
11%go backward into the defensive third
Pass types
4886CB · 44%
337Long Wide · 3%
67Long Central · 1%
4334Wide → FB · 39%
1553Central · 14%
Sequence success — progression
1759progression sequences this season
27%succeed — reach the next third or a shot
40%turned over with nothing to show
CB4886 · 44%
Long Wide337 · 3%
Long Central67 · 1%
Wide → FB4334 · 39%
Central1553 · 14%
◆ Vision AI Insight
Celta Vigo progress predominantly down the left, with Alonso the busiest midfield outlet (1487 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (73%) 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 (731×) — 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
48%
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?
1501 progressive carries this season across the whole squad (25% of 5988 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 55m. Most active carrier: Alonso (347). Filter to one player below.
First (544)Second (428)Third (294)Fourth (235)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.
479shots
53.1xG
0.11xG per shot
32big chances (0.3+ xG)
62goals
#19key passes / game in the league
#18box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition22% of shots
103
17
12.28
0.12
Cross
3
0
0.57
0.19
Cut-back
8
1
0.88
0.11
Long ball
6
0
0.80
0.13
Pass into the box / short pass
62
15
8.42
0.14
Own creation (carry, dribble, rebound)
24
1
1.62
0.07
Settled attack59% of shots
285
30
28.50
0.10
Cross
44
1
5.12
0.12
Cut-back
30
6
4.79
0.16
Long ball
11
1
0.71
0.06
Pass into the box / short pass
158
19
14.81
0.09
Own creation (carry, dribble, rebound)
42
3
3.08
0.07
Set piece19% of shots
91
15
12.34
0.14
Corner
75
6
5.03
0.07
Free kick
7
0
0.17
0.02
Penalty
9
9
7.15
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
Iago Aspas
30
4.56
4
Óscar Mingueza
27
3.64
5
Hugo Álvarez
33
3.33
4
Sergio Carreira
23
2.99
1
Javi Rueda
19
2.65
5
Who takes them
Player
Shots
xG
Goals
Borja Iglesias
48
9.75
14
Ferran Jutglà
55
5.71
11
Pablo Durán
44
5.18
4
Iago Aspas
35
4.76
6
Williot Swedberg
27
4.60
5
Vision AI Model Insight
The biggest source of Celta Vigo's chances, by xG, is settled attack (28.5 of 53.1 xG, 285 of 479 shots), mostly pass into the box / short pass. 103 of the 479 shots (22%) came within 15 seconds of winning the ball. 91 of the 479 shots came from set pieces; 62 goals from 53.1 xG (+8.9).
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
35CB · 10%
13Long Wide · 4%
23Long Central · 6%
122Wide → FB · 34%
171Central · 47%
Sequence success — final-third
1132final-third sequences this season
19%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
CB35 · 10%
Long Wide13 · 4%
Long Central23 · 6%
Wide → FB122 · 34%
Central171 · 47%
Who creates — volume × threat
35Aspas
33Álvarez
29Mingueza
26Sotelo
23Román
22Carreira
20Rueda
364key passes #19 of 23
10.2box entries/game #18 of 23
39.0final-3rd entries/game #4 of 23
1.11xG/game #17 of 23
62goals #7 of 23
+8.9finishing vs xG #8 of 23
◆ Vision AI Insight
Celta Vigo lean right — 39% of their key passes come from that flank and its half-space (143 of 364), most often from Rueda (20). They funnel chances into the c of the final third, most often via RHS att → C att (49 key passes, most often from Rueda). Aspas is the primary source overall. They generate 1.11 xG a game and finish it clinical — they beat their xG, led by Borja Iglesias (14G), Ferran Jutglà (11G), Iago Aspas (6G).
Crosses & Cutbacks — squad-wide
The question
How does Celta Vigo deliver into the box from wide areas, and what comes of it?
449 crosses: 176 found a team-mate (39%), 52 led to a shot (12%). 124 cut-backs: 59 found a team-mate (48%), 39 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 Celta Vigo actually cross from?
449 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 advanced left wing; 25 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · left wing
110
24%
13
byline · left wing
98
22%
13
byline · right wing
91
20%
12
advanced · right wing
71
16%
8
deep · right wing
34
8%
1
deep · left wing
20
4%
3
advanced · left half-space
8
2%
1
byline · right half-space
7
2%
0
byline · left half-space
6
1%
0
advanced · right half-space
3
1%
1
deep · left half-space
1
0%
0
Finishing3 sections
Shot Map
479 shots for 53.1 xG (1.11/game, #17 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 10.0 shots/game at 0.111 xG/shot. Box entries 10/game (#18). Threat created 11.0 xT/game (#6).
Goal Sequences
The move behind each of Celta Vigo’s 63 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 — 63 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
47 · 76%
Set pieces
6 · 10%
Penalties
9 · 15%
By finish
Right foot
37 · 60%
Left foot
22 · 35%
Header
3 · 5%
Vision AI Model Insight
62 goals scored. 76% 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
1197
Failed forward pass
790
Failed take-on
482
Lost in the defensive third
1287
Their weakest zone is the right wing in the defensive third: 26% of 930 pass attempts there are lost (246 times). Separately, 31% 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.
22
Pressing Index /100 · passive
Intensity7
PPDA, high-press share, high-zone actions
Height9
how high up the pitch they defend
Effectiveness28
high recoveries & high-regain share
Disruption46
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
15%
RHS
22%
C
26%
LHS
19%
LW
17%
By third (high / mid / low regain)
Def 54%
Mid 35%
Att 11%
Read
Ranked #23 of 23 for press intensity, this is a high press. Note the tension: 54% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (18% high-press share) means that when they do defend, it is often deep. Of recoveries, 51% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#23/23
lower = more intense; rank is what matters
Defensive actions / game
120
#22/23
High-press share
18%
#19/23
def actions won high up
Defensive-action height (0–100)
34.7
#21/23
avg pitch height of actions
High recoveries / game
19.6
#17/23
ball won in mid+att third
High-recovery share
51%
#16/23
share of recoveries won high
Opponent completion allowed
84%
#22/23
lower = more disruptive
Opponent progressive allowed
8.6%
#3/23
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 Celta Vigo win it back with a defensive action?
Counted over the 1420 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 6.7 opponent passes in the first half-hour and after 4.7 after the hour mark (sooner).
PASSES THEY GET
5.6passes
median 3 · before Celta Vigo win it
TIME THEY KEEP IT
16sec
median 9s · 29.6 wins per game
How many passes the opponent got in before the ball was won
40%
26%
16%
18%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.7
19s
15–30′
6.7
19s
30–45+′
6.3
19s
45–60′
4.6
14s
60–75′
5.4
16s
75–90+′
4.2
13s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Celta Vigo 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.
6,895phase segments analysed
11.0smedian time before the opposition engage
3.0their passes per defensive action when pressed
#17of 20 for share of defending spent pressing high
High press 5.9%Mid block 10.6%Low block 52.5%Unopposed 30.9%
What opponents do against Celta Vigo
The mirror image, and the part no other section can show: whether teams come
out to press Celta Vigo 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 8.3%Mid block 13.7%Low block 47.4%Unopposed 30.7%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,230
5.6s
3.2
0.2%
48.3%
Progression
2,863
7.8s
4.6
0.7%
42.4%
Chance creation
1,653
5.8s
3.5
22.0%
49.4%
Attacking transition
149
7.0s
4.6
4.7%
30.2%
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
856
0.1%
progression
570
0.4%
build_up → progression
359
0.3%
progression → chance_creation
297
20.2%
chance_creation
238
34.0%
build_up → progression → chance_creation
200
30.5%
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) 7,535 passes
nothing unusual in this zone
Width of use-0.3120.35
Wide-channel share-0.310.29
Side bias+0.110.57
Pass length-0.3921.28
Long-ball share-0.600.17
Forward gain per pass-0.479.42
Backward-pass share-0.000.20
Deep-pass share-0.590.23
Completion+0.430.83
Seconds between passes-0.443.06
Side used
left 29% · central 45% · right 26%
Progression (middle third) 12,535 passes
narrow, central, played inside
Width of use-1.0823.28
Wide-channel share-1.050.33
Side bias+0.020.12
Pass length+0.4317.83
Long-ball share-0.360.09
Forward gain per pass-0.452.92
Backward-pass share+0.430.35
Deep-pass share-0.230.15
Completion+0.680.89
Seconds between passes-0.163.12
Side used
left 32% · central 36% · right 32%
Final third 5,467 passes
circulating, safer, more recycling
Width of use-0.8029.64
Wide-channel share-0.760.52
Side bias+0.120.35
Pass length-0.2815.03
Long-ball share-0.710.07
Forward gain per pass-1.00-0.29
Backward-pass share+0.910.45
Deep-pass share-0.220.08
Completion+0.920.77
Seconds between passes-0.233.23
Side used
left 40% · central 20% · right 40%
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%
#23 of 23 · reaches final third in ≤3 passes
Patient build-up share35%
#3 of 23 · spells of 6+ passes
Tempo (possession length)20.0s
#18 of 23 · shorter = faster tempo
Passes per possession5.5
#3 of 23
Counter-attack shots /game0.75
#21 of 23 · shot within 12s of a regain in own half
Press→shot /game2.15
#22 of 23 · shot within 8s of a high regain
Speed to final third after regain13.7s
#17 of 23 · lower = faster break
Sequence success — attacking transition
111attacking transition sequences this season
15%succeed — produce a shot
43%turned over with nothing to show
Sequence success — defensive transition
351defensive transition sequences this season
63%succeed — reach the next third or a shot
11%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 (#23 of 23), against 35% built patiently over 6+ passes (#3 of 23). Winning the ball back leads to a shot inside 12 seconds 0.75 times a game (#21), and a high regain converts to a shot within 8 seconds 2.15 times a game (#22 of 23) — 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? 2189 opponent progressive passes and 613 shots faced (62.1 xG against) across the season.
Opponent threat by lane (attacking into Celta Vigo)
Right wing
30%
Right half-space
14%
Central
19%
Left half-space
12%
Left wing
26%
Where the danger came from. Opponents generated most of their threat through the right wing (30% 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 (406 total)
By situation
Open play
36 · 67%
Set pieces
11 · 20%
Penalties
7 · 13%
Vision AI Model Insight
54 goals conceded. 67% come in open play; set pieces account for only 20%, so dead-ball defending is not the main issue. 13% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the 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
47 g · 40.8 xG
Set pieces
6 g · 5.2 xG
Penalties
9 g
10% of goals come from set pieces (6 of 62), worth 5.2 xG from 82 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Celta Vigo's corners go?
172 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 (93)
Delivered into the box 91%Short 9%
Left side (79)
Delivered into the box 90%Short 10%
Where opponents attack Celta Vigo from set pieces
96 shots from opponent corners against Celta Vigo, 11 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 (48)
Shot 48Goals 4
Left flag (48)
Shot 48Goals 7
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
pass retention % — 84.96 (87th pct)
progression /game — 44.62 (74th pct)
threat created /game — 10.99 (74th pct)
Weaknesses (bottom-third vs league)
press intensity (PPDA) — 8.82 (0th pct)
shots /game — 9.98 (9th pct)
box entries /game — 10.23 (22th pct)
xG created /game — 1.11 (26th pct)
field tilt % — 46.25 (35th pct)
Style Archetype & Similar Teams
Team archetype: Direct / counter high-press. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Girona
75%
Real Betis
70%
Villarreal
59%
Malaga
38%
Real Oviedo
30%
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 (16m)
1.19
0.75
1.75
vs mid-block opponents (16m)
1.56
1.00
1.44
vs low-block opponents (16m)
1.19
1.69
0.94
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
82%
14%
36
8.6
5.5
vs mid-block opponents
86%
10%
43
10.6
9.6
vs low-block opponents
86%
9%
55
13.8
15.6
Vision AI Model Insight
Facing a high press, retention drops to 82% vs 86% against a low block (5pt lower under pressure), and directness (long-ball share) sits at 14% when pressed vs 9% 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. Celta Vigo are balanced-territory with a aggressive high-press.
Their attack creates 1.11 xG a game and they concede 1.29 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.
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 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).
+15.6on-ball value, 12 matches
Where the value came from
Passes6329 actions+7.02
Carries1600 actions+0.22
Dribbles177 actions+0.03
Shots112 actions+5.04
Ball wins699 actions+3.34
Most on-ball value (OBV)
Actions
OBV
per 100
Hugo Álvarez
313
+1.53
+0.49
Hugo González
156
+1.37
+0.88
Sergio Carreira
687
+1.31
+0.19
Ionut Radu
498
+1.31
+0.26
Yoel Lago
948
+1.28
+0.14
Javi Rodríguez
593
+1.27
+0.21
Miguel Román
566
+1.17
+0.21
Marcos Alonso
988
+1.04
+0.11
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. 172 corners taken, most by Hugo Sotelo (39); 82 shots from corners and free kicks, 6 goals, led by Borja Iglesias (2 goals, 0.41 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 Sotelo
39
34 (87%)
2
—
0.06
1
—
Marcos Alonso
—
—
14
—
0.92
4
1/1
Óscar Mingueza
24
22 (92%)
6
1
0.14
1
—
Miguel Román
29
24 (83%)
3
—
0.20
—
—
Bryan Zaragoza
27
13 (48%)
1
—
0.03
—
1/1
Iago Aspas
12
6 (50%)
2
—
0.09
—
2/2
Javi Rodríguez
—
—
8
—
0.45
—
—
Pablo Durán
—
—
7
—
0.35
—
—
Hugo González
13
13 (100%)
1
—
0.02
1
1/1
Borja Iglesias
—
—
2
2
0.41
—
4/4
Ferran Jutglà
—
—
6
1
0.93
—
—
Javi Rueda
—
—
5
—
0.26
—
—
Carl Starfelt
—
—
5
1
0.35
—
—
Fer López
13
10 (77%)
—
—
0.00
—
—
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
Óscar Mingueza
M
2100
1.24
61
44.5
Iago Aspas
F
1564
2.01
45
25.5
Sergio Carreira
M
3502
0.57
55
49.0
Hugo Álvarez
F
1954
1.52
41
20.4
Javi Rueda
M
2078
0.87
27
19.8
Ilaix Moriba
M
3423
0.45
24
24.5
Miguel Román
M
2011
1.03
15
25.4
Marcos Alonso
D
3617
0.32
24
65.0
Wide Delivery Leaders
Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.
player
pos
min
crosses (completed)
cutbacks (completed)
Hugo Álvarez
W
1954
25 (72%)
14 (43%)
Williot Swedberg
W
1784
4 (25%)
13 (46%)
Iago Aspas
W
1564
6 (67%)
10 (50%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Marcos Alonso
D
3617
625
52
39
190
Ilaix Moriba
M
3423
461
106
34
136
Javi Rodríguez
D
3145
387
42
30
82
Sergio Carreira
M
3502
383
36
32
135
Yoel Lago
D
1887
326
33
23
64
Carl Starfelt
D
1872
301
31
21
60
Javi Rueda
M
2078
282
27
29
79
Óscar Mingueza
M
2100
259
42
9
79
Full Squad Data
Every player with 100+ minutes (32 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Ionut Radu
G
48
4586
0
0.0
1
123
164
32.6
Marcos Alonso
D
40
3617
1
2.6
13
215
625
65.0
Sergio Carreira
M
44
3502
2
1.8
22
258
383
49.0
Ilaix Moriba
M
46
3423
3
2.2
17
76
461
24.5
Javi Rodríguez
D
39
3145
1
0.9
11
162
387
43.7
Ferran Jutglà
F
40
2319
11
5.7
18
34
227
6.8
Borja Iglesias
F
38
2101
14
9.7
17
32
139
8.7
Óscar Mingueza
M
34
2100
1
0.7
29
230
259
44.5
Javi Rueda
M
36
2078
2
1.0
20
141
282
19.8
Miguel Román
M
26
2011
2
1.0
23
100
248
25.4
Hugo Álvarez
F
36
1954
4
2.0
33
116
156
20.4
Pablo Durán
F
37
1898
4
5.2
10
29
166
6.0
Yoel Lago
D
22
1887
0
0.2
2
47
326
19.5
Carl Starfelt
D
22
1872
1
0.8
2
31
301
16.6
Williot Swedberg
F
38
1784
5
4.6
15
28
172
6.6
Iago Aspas
F
40
1564
6
4.8
35
95
136
25.5
Fer López
M
17
1224
1
1.5
11
45
144
12.7
Jones El Abdellaoui
M
25
963
2
2.3
9
17
85
2.6
Manu Fernández
D
14
806
0
0.1
2
32
99
9.7
Álvaro Núñez
D
10
691
0
0.4
2
46
66
10.4
Joseph Aidoo
D
8
681
0
0.1
0
11
113
6.0
Carlos Domínguez
D
8
655
0
0.2
1
20
112
7.9
Javi Galán
M
8
408
0
0.3
7
28
58
5.3
Aleix Febas
M
5
380
2
2.1
0
4
66
2.1
Hugo González
F
6
302
1
1.4
12
17
26
4.3
Sebastián Cáceres
D
3
264
0
0.0
0
10
56
3.1
Mihailo Ristic
D
5
256
0
0.0
2
10
36
2.5
Couhaib Driouech
F
5
172
0
0.2
3
6
27
0.5
Matías Vecino
M
6
158
0
0.1
0
2
30
1.4
Damián Rodríguez
M
2
156
0
0.1
2
7
13
1.8
Andrés Antañón
F
4
156
0
0.3
0
0
26
0.2
Hugo Burcio
M
6
137
0
0.5
0
7
32
1.7
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
minutes4586
goals · xG0 · 0.0
prog passes /902.4
key passes /900.02
def actions /903.2
pass accuracy74%
Marcos Alonso
Ball-playing defender · Defender
minutes3617
goals · xG1 · 2.6
prog passes /905.3
key passes /900.32
def actions /9015.6
pass accuracy90%
Sergio Carreira
Deep-lying playmaker · Midfielder
minutes3502
goals · xG2 · 1.8
prog passes /906.6
key passes /900.57
def actions /909.8
pass accuracy83%
Ilaix Moriba
Ball-winner / destroyer · Midfielder
minutes3423
goals · xG3 · 2.2
prog passes /902.0
key passes /900.45
def actions /9012.1
pass accuracy90%
Javi Rodríguez
Ball-playing defender · Defender
minutes3145
goals · xG1 · 0.9
prog passes /904.6
key passes /900.31
def actions /9011.1
pass accuracy90%
Ferran Jutglà
Poacher / finisher · Forward
minutes2319
goals · xG11 · 5.7
prog passes /901.3
key passes /900.70
def actions /908.8
pass accuracy74%
Borja Iglesias
Poacher / finisher · Forward
minutes2101
goals · xG14 · 9.7
prog passes /901.4
key passes /900.73
def actions /906.0
pass accuracy73%
Óscar Mingueza
Deep-lying playmaker · Midfielder
minutes2100
goals · xG1 · 0.7
prog passes /909.9
key passes /901.24
def actions /9011.1
pass accuracy83%
Javi Rueda
Deep-lying playmaker · Midfielder
minutes2078
goals · xG2 · 1.0
prog passes /906.1
key passes /900.87
def actions /9012.2
pass accuracy75%
Recruitment Intelligence — profiles to sign
The question
If you were sporting director, which player profiles would move the needle most?
Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.
Need — bottom-third: press intensity (PPDA) (0th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (8.82, 0th percentile vs the league).
Need — bottom-third: shots /game (9th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (9.98, 9th percentile vs the league).
Need — bottom-third: box entries /game (22th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (10.23, 22th percentile vs the league).
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