A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Finished #19 of 20 on 41 points (9-14-15, 39:55). Tactical profile below is built from 38 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Girona and how good was the season?
Read. Girona finished #19 of 20 on 41 points (9W-14D-15L, 1.08 pts/game), scoring 39 and conceding 55 for a goal difference of -16.
On the ball they are a balanced-territory team (49% field tilt, #10 in the league); off it they defend with a aggressive high-press (#22 of 23 for press intensity).
Across the 38 matches of event data, they create 1.21 xG/game (#13) and concede 1.47 (#17), a net of -0.26 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Girona actually finish, and against whom?
The authoritative final table (full season), centred on Girona.
#
team
P
W
D
L
GF
GA
GD
Pts
16
Osasuna
38
11
9
18
44
50
-6
42
17
Mallorca
38
11
9
18
47
57
-10
42
18
Levante
38
11
9
18
47
61
-14
42
19
Girona
38
9
14
15
39
55
-16
41
20
Real Oviedo
38
6
11
21
26
60
-34
29
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Girona 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
Girona tend to come alive after the break — first-half net xG -7.29, second-half -2.57. Their strongest period is 76-90+' (net +0.93 xG); their most dangerous period to face is 31-45' (net -4.27 xG against them).
xG Race — the season, match by match
Expected goals piling up over 38 matches: Girona 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 (-9.9 xG). Hover a point for that match.
GironaOpponents against Girona
Tactical DNA
The football question
In five genes, what is Girona'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.
65
Build-Up
possession control from the back
22
Progression
moving the ball upfield with threat
36
Creation
manufacturing chances
30
Press
winning the ball high & hard
26
Solidity
resisting the opponent's threat
Genetic identity
Girona are defined most by their Build-Up DNA (65/100 · average at possession control from the back), and least by their Progression DNA (22/100). 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
57%
Possession
65%
Field tilt
57%
Disrupt
Central progression ~proxy
87%
Dribble tendency
74%
Progressive passes
9%
Finish
Final-third patience
91%
Shot quality
74%
Open-play xG
48%
Press
Forward press ~proxy
4%
High regains
17%
Pressing efficiency ~proxy
9%
Defend
Def-mid press ~proxy
17%
High line ~proxy
0%
PAdj defensive actions
9%
Girona is defined most by Finish (71% in the league) and weakest on Defend (9%). 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 Girona actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Girona'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; Girona highlighted. Hover any dot for the team.
Vision AI Model Insight
Girona post 49% field tilt, ranking #10 of 23 in the league — comfortably above the league mid-point for territorial control, and their 1.08 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 Girona has the ball, how much of that time is spent building, progressing and creating?
The share of Girona'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
31.3%
Progression
42.0%
Chance creation
25.0%
Attacking transition
1.7%
Vision AI Model Insight
Progression is where Girona spends most of its time on the ball (42% 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
Blind ↔ Reis
606p · 9.4xT
Blind ↔ Moreno
396p · 23.1xT
Blind ↔ Ruíz
390p · 11.5xT
Ruíz ↔ Reis
388p · 12.1xT
Martínez ↔ Reis
362p · 12.1xT
Witsel ↔ Blind
340p · 12.1xT
Blind ↔ Martín
296p · 12.3xT
Martín ↔ Reis
274p · 10.8xT
Martín ↔ Martínez
273p · 11.9xT
Witsel ↔ Reis
271p · 8.0xT
Vision AI Model Insight
Busiest connection: Daley Blind ↔ Vitor Reis (606 passes). Most dangerous per pass: Abel Ruíz ↔ Arnau Martínez (0.07 xT/pass over 169 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Girona 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 Girona 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
19136
ACTIONS
Carries
the ball moved with a player
5841
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (11.4% of all actions). 62% of actions run through the inside lanes (centre + both half-spaces) versus 38% down the two wings — an inside-dominant, half-space build. By third: 32% defensive, 45% middle, 23% 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. Girona leaned on their right (40%). The bars under the pitch put the league’s share beside theirs.
Girona
38%22%40%
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. Girona made 1721 this season (45.3 a match); 33% 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
567
14.9
33%
30%
Left half-space
239
6.3
14%
15%
Centre
187
4.9
11%
12%
Right half-space
219
5.8
13%
14%
Right wing
509
13.4
30%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Girona 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.
6236build-up passes attempted
82%completed
23%reach the middle third
1%go long into the final third
Pass types
2527CB · 49%
250Long Wide · 5%
31Long Central · 1%
1803Wide → FB · 35%
533Central · 10%
Sequence success — build-up
1229build-up sequences this season
12%succeed — reach the next third or a shot
37%turned over with nothing to show
CB2527 · 49%
Long Wide250 · 5%
Long Central31 · 1%
Wide → FB1803 · 35%
Central533 · 10%
◆ Vision AI Insight
Girona build predominantly down the right, with Ruíz as the fulcrum (907 build-up passes). Only 24% 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 (333×).
Pass Explorer
Every pass of Girona’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. 1445 progressive passes across 38 matches (38.0/game).
Origin lane
Right wing
32%
Right half-space
12%
Central
12%
Left half-space
15%
Left wing
29%
Progression is right-dominant: 44% right side · 12% central · 43% left.
Who generates it
Daley Blind
159 · 11%
Viktor Tsygankov
154 · 11%
Álex Moreno
127 · 9%
Arnau Martínez
125 · 9%
Hugo Rincón
112 · 8%
Top two — Daley Blind & Viktor Tsygankov — account for 22% of all progression.
PROGRESSION
38.0 prog passes/game
mostly right
→
PENETRATION
25% reach final third
18% reach the box
→
THREAT
the other 75% is recycled
progress ≠ danger
What came of it.25% of progressive passes reached the final third and 18% 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
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Girona 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.
8339progression passes attempted
89%completed
16%break into the final third
13%go backward into the defensive third
Pass types
2933CB · 40%
217Long Wide · 3%
40Long Central · 1%
3315Wide → FB · 45%
914Central · 12%
Sequence success — progression
1650progression sequences this season
28%succeed — reach the next third or a shot
36%turned over with nothing to show
CB2933 · 40%
Long Wide217 · 3%
Long Central40 · 1%
Wide → FB3315 · 45%
Central914 · 12%
◆ Vision AI Insight
Girona progress predominantly down the right, with Blind the busiest midfield outlet (925 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (70%) is recycled back into midfield or (13%) 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 → RW mid (385×) — 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)
12%
Progressive
1%
Neutral / sideways
49%
Safe / backward
38%
13% of passes are progressive-or-better; the remaining 87% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Girona actually progress the ball with their feet, not a pass?
1378 progressive carries this season across the whole squad (26% of 5327 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 15m, longest 52m. Most active carrier: Blind (168). Filter to one player below.
First (396)Second (377)Third (328)Fourth (277)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 Girona'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.
425shots
46.0xG
0.11xG per shot
29big chances (0.3+ xG)
38goals
#16key passes / game in the league
#14box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition20% of shots
87
7
8.58
0.10
Cross
7
0
0.98
0.14
Cut-back
4
2
0.56
0.14
Long ball
8
1
0.84
0.11
Pass into the box / short pass
48
4
4.45
0.09
Own creation (carry, dribble, rebound)
20
0
1.75
0.09
Settled attack61% of shots
261
20
25.61
0.10
Cross
36
5
4.62
0.13
Cut-back
17
0
1.77
0.10
Long ball
10
1
0.73
0.07
Pass into the box / short pass
143
11
13.15
0.09
Own creation (carry, dribble, rebound)
55
3
5.33
0.10
Set piece18% of shots
77
11
11.85
0.15
Corner
56
4
5.15
0.09
Free kick
13
0
0.35
0.03
Penalty
8
7
6.35
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
Azzedine Ounahi
36
4.23
3
Viktor Tsygankov
37
2.85
5
Arnau Martínez
21
2.38
2
Bryan Gil
19
2.37
3
Iván Martín
28
1.91
1
Who takes them
Player
Shots
xG
Goals
Vladyslav Vanat
27
7.71
9
Viktor Tsygankov
51
5.68
6
Cristhian Stuani
19
4.83
5
Joel Roca
48
4.34
3
Azzedine Ounahi
51
3.98
5
Vision AI Model Insight
The biggest source of Girona's chances, by xG, is settled attack (25.6 of 46.0 xG, 261 of 425 shots), mostly pass into the box / short pass. 87 of the 425 shots (20%) came within 15 seconds of winning the ball. 77 of the 425 shots came from set pieces; 38 goals from 46.0 xG (-8.0).
Chance Creation — the pass map
The football question
How does Girona 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
50CB · 17%
14Long Wide · 5%
18Long Central · 6%
108Wide → FB · 36%
107Central · 36%
Sequence success — final-third
1122final-third sequences this season
22%succeed — produce a shot
35%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
CB50 · 17%
Long Wide14 · 5%
Long Central18 · 6%
Wide → FB108 · 36%
Central107 · 36%
Who creates — volume × threat
52Tsygankov
34Ounahi
24Martín
23Martínez
20Gil
18Lemar
15Roca
297key passes #16 of 23
10.9box entries/game #14 of 23
33.9final-3rd entries/game #6 of 23
1.21xG/game #13 of 23
38goals #18 of 23
-8.0finishing vs xG #20 of 23
◆ Vision AI Insight
Girona lean right — 41% of their key passes come from that flank and its half-space (123 of 297), most often from Tsygankov (38). They funnel chances into the c of the final third, most often via RHS att → C att (34 key passes, most often from Tsygankov). Tsygankov is the primary source overall. They generate 1.21 xG a game and finish it wasteful — they under-perform their xG, led by Vladyslav Vanat (9G), Viktor Tsygankov (6G), Cristhian Stuani (5G).
Crosses & Cutbacks — squad-wide
The question
How does Girona deliver into the box from wide areas, and what comes of it?
441 crosses: 130 found a team-mate (29%), 41 led to a shot (9%). 110 cut-backs: 47 found a team-mate (43%), 23 led to a shot (21%). A cross starts wide and is aimed into the box; a cut-back starts near the byline and is squared back. Grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball.
Crosses by Territory
The question
Which part of the final third does Girona actually cross from?
441 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 right wing; 27 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · right wing
108
24%
9
byline · right wing
100
23%
13
byline · left wing
99
22%
11
advanced · left wing
75
17%
3
deep · right wing
18
4%
0
deep · left wing
14
3%
3
byline · right half-space
10
2%
1
byline · left half-space
7
2%
1
advanced · left half-space
5
1%
0
advanced · right half-space
4
1%
0
deep · left half-space
1
0%
0
Finishing3 sections
Shot Map
425 shots for 46.0 xG (1.21/game, #13 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 11.2 shots/game at 0.108 xG/shot. Box entries 11/game (#14). Threat created 10.0 xT/game (#15).
Goal Sequences
The move behind each of Girona’s 39 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 — 39 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Girona scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
27 · 71%
Set pieces
4 · 11%
Penalties
7 · 18%
By finish
Right foot
24 · 63%
Left foot
11 · 29%
Header
3 · 8%
Vision AI Model Insight
38 goals scored. 71% come in open play; set pieces add 11%. 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
1049
Failed forward pass
694
Failed take-on
459
Lost in the defensive third
1092
Their weakest zone is the right wing in the defensive third: 26% of 955 pass attempts there are lost (250 times). Separately, 34% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession
Out of possession
How they press, where they win the ball back, and how they concede.
How hard does Girona 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.
12
Pressing Index /100 · passive
Intensity1
PPDA, high-press share, high-zone actions
Height0
how high up the pitch they defend
Effectiveness20
high recoveries & high-regain share
Disruption26
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
16%
RHS
21%
C
22%
LHS
22%
LW
18%
By third (high / mid / low regain)
Def 57%
Mid 33%
Att 10%
Read
Ranked #22 of 23 for press intensity, this is a high press. Note the tension: 57% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (16% high-press share) means that when they do defend, it is often deep. Of recoveries, 49% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#22/23
lower = more intense; rank is what matters
Defensive actions / game
125
#20/23
High-press share
16%
#23/23
def actions won high up
Defensive-action height (0–100)
33.6
#23/23
avg pitch height of actions
High recoveries / game
19.7
#16/23
ball won in mid+att third
High-recovery share
49%
#21/23
share of recoveries won high
Opponent completion allowed
83%
#16/23
lower = more disruptive
Opponent progressive allowed
9.7%
#18/23
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 Girona win it back with a defensive action?
Counted over the 1184 opposition possessions that Girona 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 Girona step in. Girona win it after 6.3 opponent passes in the first half-hour and after 3.9 after the hour mark (sooner).
PASSES THEY GET
5.2passes
median 3 · before Girona win it
TIME THEY KEEP IT
15sec
median 7s · 31.2 wins per game
How many passes the opponent got in before the ball was won
44%
25%
14%
17%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.5
19s
15–30′
5.9
17s
30–45+′
5.4
15s
45–60′
5.1
15s
60–75′
4.3
13s
75–90+′
3.5
10s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Girona 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.
6,866phase segments analysed
11.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#19of 20 for share of defending spent pressing high
High press 5.3%Mid block 10.0%Low block 55.5%Unopposed 29.2%
What opponents do against Girona
The mirror image, and the part no other section can show: whether teams come
out to press Girona 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 7.5%Mid block 14.0%Low block 50.0%Unopposed 28.5%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,320
6.5s
3.5
0.1%
51.1%
Progression
2,762
7.4s
4.2
0.4%
41.1%
Chance creation
1,672
7.2s
4.0
23.3%
52.5%
Attacking transition
112
7.3s
4.5
0.9%
27.7%
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
948
0.1%
progression
583
0.0%
progression → chance_creation
326
25.8%
build_up → progression
315
0.0%
chance_creation
309
33.3%
build_up → progression → chance_creation
202
30.7%
Attitude in each third
Every other style number here says how much Girona 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 Girona are genuinely unusual, and a verdict is only written where something clears
0.85 sd — a side that is ordinary in a third is told so rather than given a label
for average play.
Build-up (own third) 6,236 passes
nothing unusual in this zone
Width of use+0.0921.20
Wide-channel share+0.030.31
Side bias-0.12-0.27
Pass length-0.2521.80
Long-ball share-0.350.20
Forward gain per pass-0.449.54
Backward-pass share+0.800.24
Deep-pass share-0.390.25
Completion+0.360.82
Seconds between passes-0.243.18
Side used
left 28% · central 44% · right 28%
Progression (middle third) 8,339 passes
nothing unusual in this zone
Width of use-0.2425.05
Wide-channel share-0.350.38
Side bias-0.05-0.12
Pass length-0.1617.00
Long-ball share-0.400.09
Forward gain per pass-0.592.72
Backward-pass share+0.410.35
Deep-pass share-0.440.14
Completion+0.650.88
Seconds between passes+0.573.45
Side used
left 34% · central 31% · right 35%
Final third 4,561 passes
nothing unusual in this zone
Width of use-0.1831.16
Wide-channel share-0.100.58
Side bias-0.15-1.51
Pass length-0.6114.52
Long-ball share-0.730.07
Forward gain per pass-0.380.54
Backward-pass share+0.490.42
Deep-pass share-0.430.07
Completion+0.760.76
Seconds between passes-0.073.34
Side used
left 40% · central 16% · right 44%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Girona'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 Girona 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 share15%
#19 of 23 · reaches final third in ≤3 passes
Patient build-up share33%
#6 of 23 · spells of 6+ passes
Tempo (possession length)20.8s
#21 of 23 · shorter = faster tempo
Passes per possession5.1
#8 of 23
Counter-attack shots /game0.61
#22 of 23 · shot within 12s of a regain in own half
Press→shot /game2.00
#23 of 23 · shot within 8s of a high regain
Speed to final third after regain14.5s
#20 of 23 · lower = faster break
Sequence success — attacking transition
129attacking transition sequences this season
17%succeed — produce a shot
38%turned over with nothing to show
Sequence success — defensive transition
281defensive transition sequences this season
68%succeed — reach the next third or a shot
8%turned over with nothing to show
Vision AI Model Insight
Girona are a patient build-up side: 15% of possessions reach the final third in 3 passes or fewer (#19 of 23), against 33% built patiently over 6+ passes (#6 of 23). Winning the ball back leads to a shot inside 12 seconds 0.61 times a game (#22), and a high regain converts to a shot within 8 seconds 2.00 times a game (#23 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 Girona? 1834 opponent progressive passes and 552 shots faced (55.9 xG against) across the season.
Opponent threat by lane (attacking into Girona)
Right wing
27%
Right half-space
13%
Central
17%
Left half-space
13%
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 Girona actually come from — open play, dead balls, and who supplies them?
Every goal Girona conceded across the loaded matches — the opponent's shots in Girona'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 (396 total)
By situation
Open play
42 · 78%
Set pieces
7 · 13%
Penalties
5 · 9%
Vision AI Model Insight
54 goals conceded. 78% come in open play; set pieces account for only 13%, so dead-ball defending is not the main issue. 22% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the left 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
27 g · 34.2 xG
Set pieces
4 g · 5.5 xG
Penalties
7 g
11% of goals come from set pieces (4 of 38), worth 5.5 xG from 69 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Girona's corners go?
159 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 (72)
Delivered into the box 96%Short 4%
Left side (87)
Delivered into the box 97%Short 3%
Where opponents attack Girona from set pieces
93 shots from opponent corners against Girona, 6 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (50)
Shot 50Goals 4
Left flag (43)
Shot 43Goals 2
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
pass retention % — 84.00 (74th pct)
Weaknesses (bottom-third vs league)
press intensity (PPDA) — 8.61 (4th pct)
progression /game — 38.03 (9th pct)
xG conceded /game — 1.47 (26th pct)
shots /game — 11.18 (26th pct)
threat created /game — 10.01 (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.
Celta Vigo
75%
Real Betis
70%
Villarreal
57%
Malaga
55%
Real Oviedo
50%
Performance vs Opponent Styles
The question
Not just how Girona 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 Girona's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (12m)
1.08
1.17
1.17
vs mid-block opponents (12m)
1.08
1.42
1.25
vs low-block opponents (14m)
0.93
1.71
0.86
Behaviour — how Girona actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
80%
14%
33
8.4
9.7
vs mid-block opponents
84%
12%
37
10.1
9.8
vs low-block opponents
86%
10%
43
11.3
12.9
Vision AI Model Insight
Facing a high press, retention drops to 80% vs 86% against a low block (6pt lower under pressure), and directness (long-ball share) sits at 14% when pressed vs 10% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.
Scouting Summary — the team in brief
In brief. Girona are balanced-territory with a aggressive high-press.
Their attack creates 1.21 xG a game and they concede 1.47 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 Girona’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.
Girona
across 38 matches this season
Threat from passingvs Mallorca · 0-1 · 2026-05-019.45avg 4.65
Final-third entriesvs Real Sociedad · 1-1 · 2026-05-1485avg 45
PPDAvs Levante · 0-4 · 2025-09-2017.4avg 8.6
Progressive passesvs Real Sociedad · 1-1 · 2026-05-1465avg 38
Pass accuracyat Athletic Club · 1-1 · 2025-09-2374%avg 83%
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 Girona’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).
+17.7on-ball value, 12 matches
Where the value came from
Passes6443 actions+7.86
Carries1755 actions-1.40
Dribbles253 actions+0.57
Shots164 actions+7.10
Ball wins724 actions+3.58
Most on-ball value (OBV)
Actions
OBV
per 100
Azzedine Ounahi
871
+3.98
+0.46
Viktor Tsygankov
698
+2.06
+0.29
Arnau Martínez
810
+1.95
+0.24
Alejandro Francés
647
+1.44
+0.22
Axel Witsel
869
+1.06
+0.12
Álex Moreno
550
+0.97
+0.18
Vitor Reis
926
+0.95
+0.10
Cristhian Stuani
46
+0.93
+2.02
Biggest single moves
OBV
1 Azzedine Ounahi · shot
+0.853
2 Joel Roca · pass
+0.513
3 Cristhian Stuani · shot
+0.374
4 Arnau Martínez · pass
+0.347
5 Viktor Tsygankov · shot
+0.334
6 Azzedine Ounahi · take-on
+0.305
Set Pieces by Player
Who delivers Girona’s dead balls and who finishes them this season. 159 corners taken, most by Viktor Tsygankov (68); 69 shots from corners and free kicks, 4 goals, led by Vladyslav Vanat (2 goals, 1.28 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
Viktor Tsygankov
68
46 (68%)
7
—
0.19
6
—
Thomas Lemar
34
30 (88%)
2
—
0.05
1
—
Azzedine Ounahi
7
2 (29%)
6
—
0.17
3
1/1
Axel Witsel
—
—
9
1
0.51
—
—
Cristhian Stuani
—
—
4
1
0.28
—
3/4
Arnau Martínez
—
—
8
—
0.47
—
—
Claudio Echeverri
11
8 (73%)
3
—
0.10
2
—
Vitor Reis
—
—
6
—
0.61
—
—
Yáser Asprilla
13
11 (85%)
1
—
0.04
1
—
Joel Roca
6
2 (33%)
3
—
0.09
—
—
Vladyslav Vanat
—
—
2
2
1.28
—
3/3
Alejandro Francés
—
—
5
—
0.30
—
—
Portu
11
10 (91%)
—
—
0.00
—
—
Bryan Gil
7
5 (71%)
1
—
0.05
—
—
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
Viktor Tsygankov
M
2738
1.71
64
27.6
Azzedine Ounahi
M
1839
1.66
55
27.4
Bryan Gil
M
1626
1.11
32
11.3
Álex Moreno
D
2704
0.43
32
26.5
Joel Roca
M
1594
0.85
20
6.3
Yáser Asprilla
F
656
1.51
23
6.8
Daley Blind
D
2745
0.36
17
52.7
Axel Witsel
M
2723
0.46
14
23.6
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)
Viktor Tsygankov
W
2738
47 (23%)
24 (33%)
Álex Moreno
FB
2704
16 (31%)
29 (38%)
Joel Roca
W
1594
8 (12%)
13 (54%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Vitor Reis
D
3381
610
50
33
128
Daley Blind
D
2745
474
55
39
141
Axel Witsel
M
2723
427
37
30
167
Álex Moreno
D
2704
364
43
30
101
Viktor Tsygankov
M
2738
277
31
20
82
Bryan Gil
M
1626
181
31
9
79
Alejandro Francés
D
1226
178
25
15
46
Azzedine Ounahi
M
1839
176
23
16
80
Full Squad Data
Every player with 100+ minutes (22 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Vitor Reis
D
36
3381
1
1.7
6
56
610
29.8
Abel Ruíz
G
35
3342
0
0.0
0
106
87
28.4
Daley Blind
D
31
2745
0
0.3
11
159
474
52.7
Viktor Tsygankov
M
32
2738
6
5.7
52
154
277
27.6
Axel Witsel
M
32
2723
1
1.7
14
63
427
23.6
Álex Moreno
D
31
2704
0
1.5
13
127
364
26.5
Vladyslav Vanat
F
27
1981
9
7.7
12
15
110
3.1
Azzedine Ounahi
M
24
1839
5
4.0
34
93
176
27.4
Bryan Gil
M
29
1626
0
2.9
20
66
181
11.3
Joel Roca
M
32
1594
3
4.3
15
37
151
6.3
Alejandro Francés
D
24
1226
0
0.8
10
55
178
18.0
Fran Beltrán
M
17
1065
1
0.8
12
26
145
12.2
Claudio Echeverri
F
17
694
1
1.8
7
25
42
5.3
Yáser Asprilla
F
15
656
0
0.7
11
33
59
6.8
Cristhian Stuani
F
21
521
5
4.8
2
2
55
0.5
Portu
F
10
505
0
1.3
3
5
34
1.3
Jhon Solís
M
12
420
0
0.2
1
9
52
2.4
David López
D
6
306
0
0.5
0
10
38
3.9
Abel Ruiz
F
9
226
0
0.4
0
1
22
0.4
Ladislav Krejcí
D
2
190
0
0.1
0
2
20
1.7
Marc-André Ter Stegen
G
2
189
0
0.0
0
0
5
1.2
Vladyslav Krapyvtsov
G
2
146
0
0.0
0
5
2
1.2
Player Role Architecture
The question
Who does what — and what tactical job does each key player actually perform?
The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.
Vitor Reis
Stopper / marker · Defender
minutes3381
goals · xG1 · 1.7
prog passes /901.5
key passes /900.16
def actions /9016.2
pass accuracy91%
Abel Ruíz
Goalkeeper · Goalkeeper
minutes3342
goals · xG0 · 0.0
prog passes /902.9
key passes /900.00
def actions /902.3
pass accuracy71%
Daley Blind
Ball-playing defender · Defender
minutes2745
goals · xG0 · 0.3
prog passes /905.2
key passes /900.36
def actions /9015.5
pass accuracy89%
Viktor Tsygankov
Ball-winner / destroyer · Midfielder
minutes2738
goals · xG6 · 5.7
prog passes /905.1
key passes /901.71
def actions /909.1
pass accuracy76%
Axel Witsel
Ball-winner / destroyer · Midfielder
minutes2723
goals · xG1 · 1.7
prog passes /902.1
key passes /900.46
def actions /9014.1
pass accuracy91%
Álex Moreno
Stopper / marker · Defender
minutes2704
goals · xG0 · 1.5
prog passes /904.2
key passes /900.43
def actions /9012.1
pass accuracy81%
Vladyslav Vanat
Poacher / finisher · Forward
minutes1981
goals · xG9 · 7.7
prog passes /900.7
key passes /900.55
def actions /905.0
pass accuracy77%
Azzedine Ounahi
Advanced creator · Attacking mid
minutes1839
goals · xG5 · 4.0
prog passes /904.6
key passes /901.66
def actions /908.6
pass accuracy83%
Bryan Gil
Ball-winner / destroyer · Midfielder
minutes1626
goals · xG0 · 2.9
prog passes /903.7
key passes /901.11
def actions /9010.0
pass accuracy79%
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) (4th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (8.61, 4th percentile vs the league).
Need — bottom-third: progression /game (9th pct)
Sign a progressive passer / ball-carrier to break lines. The data flags this because progression is limited (38.03, 9th percentile vs the league).
Need — bottom-third: xG conceded /game (26th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.47, 26th percentile vs the league).
