Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2026
Alaves
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #7 of 20 on 12 points (3-3-4, 14:11). 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 Alaves and how good was the season?
Read. Alaves currently sit #7 of 20 on 12 points (3W-3D-4L, 1.20 pts/game), scoring 14 and conceding 11 for a goal difference of +3.
On the ball they are a balanced-territory team (49% field tilt, #9 in the league); off it they defend with a aggressive high-press (#6 of 20 for press intensity).
Across the 10 matches of event data, they create 1.19 xG/game (#11) and concede 1.21 (#8), a net of -0.01 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Alaves actually finish, and against whom?
The authoritative final table (full season), centred on Alaves.
#
team
P
W
D
L
GF
GA
GD
Pts
4
Real Betis
10
6
2
2
16
14
+2
20
5
Real Sociedad
10
6
1
3
19
18
+1
19
6
Sevilla
10
5
2
3
16
16
+0
17
7
Alaves
10
3
3
4
14
11
+3
12
8
Athletic Club
9
3
3
3
12
9
+3
12
9
Celta Vigo
10
2
6
2
10
7
+3
12
10
Villarreal
10
3
3
4
15
14
+1
12
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Alaves 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
Alaves tend to come alive after the break — first-half net xG -0.46, second-half +0.33. Their strongest period is 16-30' (net +1.18 xG); their most dangerous period to face is 0-15' (net -1.43 xG against them).
xG Race — the season, match by match
Expected goals piling up over 10 matches: Alaves against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (-0.1 xG). Hover a point for that match.
AlavesOpponents against Alaves
Tactical DNA
The football question
In five genes, what is Alaves'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.
32
Build-Up
possession control from the back
38
Progression
moving the ball upfield with threat
43
Creation
manufacturing chances
62
Press
winning the ball high & hard
60
Solidity
resisting the opponent's threat
Genetic identity
Alaves are defined most by their Press DNA (62/100 · average at winning the ball high & hard), and least by their Build-Up DNA (32/100). 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
4%
Possession
26%
Field tilt
52%
Disrupt
Central progression ~proxy
35%
Dribble tendency
91%
Progressive passes
70%
Finish
Final-third patience
22%
Shot quality
22%
Open-play xG
39%
Press
Forward press ~proxy
74%
High regains
61%
Pressing efficiency ~proxy
61%
Defend
Def-mid press ~proxy
65%
High line ~proxy
70%
PAdj defensive actions
74%
Alaves is defined most by Defend (70% in the league) and weakest on Possess (28%). 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 Alaves actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Alaves'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; Alaves highlighted. Hover any dot for the team.
Vision AI Model Insight
Alaves post 49% field tilt, ranking #9 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 Alaves has the ball, how much of that time is spent building, progressing and creating?
The share of Alaves'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
24.7%
Progression
46.0%
Chance creation
27.4%
Attacking transition
1.9%
Vision AI Model Insight
Progression is where Alaves spends most of its time on the ball (46% 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
Jonny ↔ Blanco
73p · -0.2xT
Tenaglia ↔ Blanco
72p · -0.2xT
Sivera ↔ Koski
68p · -0.4xT
Tenaglia ↔ Ibáñez
66p · 1.3xT
Tenaglia ↔ Koski
66p · -0.4xT
Jonny ↔ Koski
65p · -0.5xT
Jonny ↔ Tenaglia
59p · -0.9xT
Tenaglia ↔ Pérez
54p · 1.0xT
Blanco ↔ Koski
53p · 0.2xT
Blanco ↔ Rebbach
50p · 0.0xT
Vision AI Model Insight
Busiest connection: Jonny ↔ Antonio Blanco (73 passes). Most dangerous per pass: Pablo Ibáñez ↔ Ángel Pérez (0.03 xT/pass over 41 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Alaves had the ball
Every touch across 99 matches. Brighter means more touches.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Alaves 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
3941
ACTIONS
Carries
the ball moved with a player
977
ACTIONS
Vision AI Model Insight
Their single busiest zone is the left wing of the middle third (11.1% of all actions). 55% of actions run through the inside lanes (centre + both half-spaces) versus 45% down the two wings — an inside-dominant, half-space build. By third: 28% defensive, 49% 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. Alaves leaned on their right (43%). The bars under the pitch put the league’s share beside theirs.
Alaves
36%21%43%
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. Alaves made 375 this season (37.5 a match); 35% came into the right wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
105
10.5
28%
29%
Left half-space
44
4.4
12%
15%
Centre
40
4.0
11%
12%
Right half-space
56
5.6
15%
15%
Right wing
130
13.0
35%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Alaves 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.
1124build-up passes attempted
78%completed
32%reach the middle third
4%go long into the final third
Pass types
330CB · 38%
90Long Wide · 10%
22Long Central · 2%
345Wide → FB · 39%
93Central · 11%
Sequence success — build-up
135build-up sequences this season
8%succeed — reach the next third or a shot
36%turned over with nothing to show
CB330 · 38%
Long Wide90 · 10%
Long Central22 · 2%
Wide → FB345 · 39%
Central93 · 11%
◆ Vision AI Insight
Alaves build predominantly down the left, with Sivera as the fulcrum (205 build-up passes). Only 36% 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 (56×).
Pass Explorer
Every pass of Alaves’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. 420 progressive passes across 10 matches (42.0/game).
Origin lane
Right wing
36%
Right half-space
10%
Central
21%
Left half-space
8%
Left wing
25%
Progression is right-dominant: 46% right side · 21% central · 33% left.
Who generates it
Antonio Sivera
79 · 19%
Ángel Pérez
46 · 11%
Nahuel Tenaglia
43 · 10%
Denis Suárez
40 · 10%
Abde Rebbach
34 · 8%
Top two — Antonio Sivera & Ángel Pérez — account for 30% of all progression.
PROGRESSION
42.0 prog passes/game
mostly right
→
PENETRATION
33% reach final third
21% reach the box
→
THREAT
the other 67% is recycled
progress ≠ danger
What came of it.33% of progressive passes reached the final third and 21% the box; the rest was recycled in front of the block. 30% 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-spacesterile
Centralbalanced
Left half-spacesterile
Left wingbalanced
Progression — the pass map
The football question
Once Alaves 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.
1933progression passes attempted
83%completed
16%break into the final third
11%go backward into the defensive third
Pass types
399CB · 25%
78Long Wide · 5%
17Long Central · 1%
915Wide → FB · 57%
197Central · 12%
Sequence success — progression
164progression sequences this season
26%succeed — reach the next third or a shot
38%turned over with nothing to show
CB399 · 25%
Long Wide78 · 5%
Long Central17 · 1%
Wide → FB915 · 57%
Central197 · 12%
◆ Vision AI Insight
Alaves progress predominantly down the right, with Blanco the busiest midfield outlet (260 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 LHS mid → LW mid (86×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
14%
Progressive
1%
Neutral / sideways
51%
Safe / backward
33%
16% of passes are progressive-or-better; the remaining 84% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Alaves actually progress the ball with their feet, not a pass?
272 progressive carries this season across the whole squad (28% of 977 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 54m. Most active carrier: Suárez (42). Filter to one player below.
First (94)Second (67)Third (65)Fourth (46)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 Alaves'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.
133shots
11.9xG
0.09xG per shot
6big chances (0.3+ xG)
14goals
#15key passes / game in the league
#12box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition23% of shots
30
5
2.69
0.09
Cross
7
1
0.98
0.14
Cut-back
1
0
0.06
0.06
Long ball
3
0
0.17
0.06
Pass into the box / short pass
5
2
0.28
0.06
Own creation (carry, dribble, rebound)
14
2
1.20
0.09
Settled attack57% of shots
76
7
6.83
0.09
Cross
21
3
2.57
0.12
Cut-back
3
1
0.59
0.20
Long ball
5
1
0.28
0.06
Pass into the box / short pass
26
2
1.85
0.07
Own creation (carry, dribble, rebound)
21
0
1.54
0.07
Set piece20% of shots
27
2
2.42
0.09
Corner
21
1
1.49
0.07
Free kick
5
0
0.13
0.03
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
Ángel Pérez
14
2.87
4
Denis Suárez
8
0.53
0
Lucas Boyé
6
0.47
0
Mariano Díaz
5
0.42
4
Carles Aleñá
5
0.32
1
Who takes them
Player
Shots
xG
Goals
Lucas Boyé
23
2.45
5
Toni Martínez
18
2.20
0
Mariano Díaz
13
1.13
3
Ángel Pérez
14
1.07
0
Aitor Mañas
2
0.91
1
Vision AI Model Insight
The biggest source of Alaves's chances, by xG, is settled attack (6.8 of 11.9 xG, 76 of 133 shots), mostly cross. 30 of the 133 shots (23%) came within 15 seconds of winning the ball. 27 of the 133 shots came from set pieces; 14 goals from 11.9 xG (+2.1).
Chance Creation — the pass map
The football question
How does Alaves 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%
5Long Wide · 7%
10Long Central · 13%
20Wide → FB · 26%
38Central · 50%
Sequence success — final-third
137final-third sequences this season
22%succeed — produce a shot
41%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 Wide5 · 7%
Long Central10 · 13%
Wide → FB20 · 26%
Central38 · 50%
Who creates — volume × threat
15Suárez
13Pérez
6Aleñá
5Boyé
5Díaz
4Ibáñez
4Blanco
76key passes #15 of 20
10.2box entries/game #12 of 20
29.3final-3rd entries/game #16 of 20
1.19xG/game #11 of 20
14goals #10 of 20
+2.1finishing vs xG #8 of 20
◆ Vision AI Insight
Alaves lean right — 55% of their key passes come from that flank and its half-space (42 of 76), most often from Pérez (13). They funnel chances into the c of the final third, most often via RW att → C att (23 key passes, most often from Pérez). Suárez is the primary source overall. They generate 1.19 xG a game and finish it clinical — they beat their xG, led by Lucas Boyé (5G), Mariano Díaz (3G), Nahuel Tenaglia (1G).
Crosses & Cutbacks — squad-wide
The question
How does Alaves deliver into the box from wide areas, and what comes of it?
160 crosses: 61 found a team-mate (38%), 25 led to a shot (16%). 21 cut-backs: 6 found a team-mate (29%), 4 led to a shot (19%). 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 Alaves actually cross from?
160 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. 30% come from one territory, the byline right wing; 4 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
48
30%
10
advanced · right wing
33
21%
8
byline · left wing
32
20%
2
advanced · left wing
23
14%
4
deep · right wing
16
10%
0
deep · left wing
4
2%
0
advanced · right half-space
2
1%
1
deep · left half-space
1
1%
0
byline · right half-space
1
1%
0
Finishing3 sections
Shot Map
133 shots for 11.9 xG (1.19/game, #11 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 13.3 shots/game at 0.090 xG/shot. Box entries 10/game (#12). Threat created 9.9 xT/game (#13).
Goal Sequences
The move behind each of Alaves’s 14 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 — 14 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Alaves scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
12 · 86%
Set pieces
1 · 7%
Penalties
1 · 7%
By finish
Right foot
8 · 57%
Left foot
3 · 21%
Header
3 · 21%
Vision AI Model Insight
14 goals scored. 86% come in open play; set pieces add 7%. 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
293
Failed forward pass
198
Failed take-on
135
Lost in the defensive third
244
Their weakest zone is the right half-space in the attacking third: 38% of 152 pass attempts there are lost (57 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 Alaves 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.
72
Pressing Index /100 · strong
Intensity83
PPDA, high-press share, high-zone actions
Height80
how high up the pitch they defend
Effectiveness58
high recoveries & high-regain share
Disruption70
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
22%
RHS
23%
C
18%
LHS
17%
LW
20%
By third (high / mid / low regain)
Def 46%
Mid 38%
Att 16%
Read
Ranked #6 of 20 for press intensity, this is a high press. 54% of defensive actions happen in the middle & attacking thirds, at an average height of 40. Of recoveries, 55% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#6/20
lower = more intense; rank is what matters
Defensive actions / game
162
#3/20
High-press share
25%
#2/20
def actions won high up
Defensive-action height (0–100)
40.2
#4/20
avg pitch height of actions
High recoveries / game
21.2
#10/20
ball won in mid+att third
High-recovery share
55%
#7/20
share of recoveries won high
Opponent completion allowed
83%
#9/20
lower = more disruptive
Opponent progressive allowed
8.0%
#3/20
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 Alaves win it back with a defensive action?
Counted over the 280 opposition possessions that Alaves 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 Alaves step in. Alaves win it after 6.1 opponent passes in the first half-hour and after 5.4 after the hour mark (sooner).
PASSES THEY GET
5.4passes
median 3 · before Alaves win it
TIME THEY KEEP IT
16sec
median 9s · 28.0 wins per game
How many passes the opponent got in before the ball was won
41%
22%
19%
18%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.0
19s
15–30′
6.2
19s
30–45+′
4.6
13s
45–60′
4.4
13s
60–75′
5.9
17s
75–90+′
5.2
15s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Alaves 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 Alaves 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) 1,124 passes
attacking the next line
Width of use+0.3621.75
Wide-channel share+0.290.32
Side bias+0.411.70
Pass length+0.6825.15
Long-ball share+0.590.29
Forward gain per pass+0.8715.23
Backward-pass share-0.660.17
Deep-pass share+0.590.34
Completion-0.140.78
Seconds between passes+0.123.40
Side used
left 31% · central 43% · right 26%
Progression (middle third) 1,933 passes
played in the channels, touchline to touchline
Width of use+0.8927.46
Wide-channel share+0.980.47
Side bias+0.080.37
Pass length-0.0117.21
Long-ball share+0.380.12
Forward gain per pass+0.464.31
Backward-pass share-0.230.32
Deep-pass share+0.440.18
Completion-0.310.82
Seconds between passes-0.443.00
Side used
left 37% · central 27% · right 36%
Final third 884 passes
touchline to touchline, less recycling
Width of use+0.8633.74
Wide-channel share+0.760.65
Side bias-0.55-4.38
Pass length+0.2215.82
Long-ball share-0.020.10
Forward gain per pass+0.401.58
Backward-pass share-0.850.33
Deep-pass share+0.450.10
Completion-0.460.66
Seconds between passes+0.403.70
Side used
left 39% · central 12% · right 49%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Alaves'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 Alaves 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 share19%
#5 of 20 · reaches final third in ≤3 passes
Patient build-up share23%
#18 of 20 · spells of 6+ passes
Tempo (possession length)15.7s
#3 of 20 · shorter = faster tempo
Passes per possession4.0
#18 of 20
Counter-attack shots /game1.00
#9 of 20 · shot within 12s of a regain in own half
Press→shot /game3.58
#5 of 20 · shot within 8s of a high regain
Speed to final third after regain11.4s
#4 of 20 · lower = faster break
Sequence success — attacking transition
15attacking transition sequences this season
27%succeed — produce a shot
53%turned over with nothing to show
Sequence success — defensive transition
47defensive transition sequences this season
57%succeed — reach the next third or a shot
19%turned over with nothing to show
Vision AI Model Insight
Alaves are a direct, fast-break side: 19% of possessions reach the final third in 3 passes or fewer (#5 of 20), against 23% built patiently over 6+ passes (#18 of 20). Winning the ball back leads to a shot inside 12 seconds 1.00 times a game (#9), and a high regain converts to a shot within 8 seconds 3.58 times a game (#5 of 20) — a genuine transition weapon.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Alaves? 423 opponent progressive passes and 120 shots faced (12.1 xG against) across the season.
Opponent threat by lane (attacking into Alaves)
Right wing
31%
Right half-space
19%
Central
18%
Left half-space
12%
Left wing
21%
Where the danger came from. Opponents generated most of their threat through the right wing (31% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Alaves actually come from — open play, dead balls, and who supplies them?
Every goal Alaves conceded across the loaded matches — the opponent's shots in Alaves'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 (89 total)
By situation
Open play
10 · 91%
Set pieces
0 · 0%
Penalties
1 · 9%
Vision AI Model Insight
11 goals conceded. 91% come in open play; set pieces account for only 0%, so dead-ball defending is not the main issue. 18% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right half-space of the attacking third (18% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
12 g · 9.5 xG
Set pieces
1 g · 1.6 xG
Penalties
1 g
7% of goals come from set pieces (1 of 14), worth 1.6 xG from 26 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Alaves's corners go?
41 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 (23)
Delivered into the box 100%Short 0%
Left side (18)
Delivered into the box 94%Short 6%
Where opponents attack Alaves from set pieces
24 shots from opponent corners against Alaves, 0 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 (13)
Shot 13Goals 0
Left flag (11)
Shot 11Goals 0
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
press intensity (PPDA) — 5.25 (70th pct)
Weaknesses (bottom-third vs league)
pass retention % — 78.08 (10th pct)
box entries /game — 10.20 (30th pct)
threat created /game — 9.93 (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.
Espanyol
87%
Osasuna
86%
Sevilla
82%
Getafe
79%
Rayo Vallecano
44%
Performance vs Opponent Styles
The question
Not just how Alaves 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 Alaves'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)
2.33
2.00
1.00
vs low-block opponents (4m)
1.25
1.00
1.00
Behaviour — how Alaves actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
74%
20%
33
8.1
8.7
vs mid-block opponents
79%
15%
40
9.3
7.3
vs low-block opponents
79%
14%
51
11.7
13.5
Vision AI Model Insight
Facing a high press, retention drops to 74% vs 79% against a low block (5pt lower under pressure), and directness (long-ball share) sits at 20% when pressed vs 14% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.
Scouting Summary — the team in brief
In brief. Alaves are balanced-territory with a aggressive high-press.
Their attack creates 1.19 xG a game and they concede 1.21 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 Alaves’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.
Progressive passesat Celta Vigo · 1-2 · 2026-10-1863avg 42
Threat from passingvs Valencia · 0-1 · 2026-09-159.12avg 6.16
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 Alaves’s last 10 matches added up: where the value came from, who produced it, and the six biggest single moves. OBV only measures what a player does with the ball: it shows who added the most on-ball value, not who was the most important player (defending off the ball, positioning and pressing are not in it).
+15.3on-ball value, 10 matches
Where the value came from
Passes3941 actions+4.93
Carries977 actions+0.11
Dribbles209 actions+0.28
Shots133 actions+7.02
Ball wins607 actions+2.92
Most on-ball value (OBV)
Actions
OBV
per 100
Ángel Pérez
349
+2.28
+0.65
Lucas Boyé
278
+2.09
+0.75
Mariano Díaz
151
+1.28
+0.85
Antonio Sivera
342
+1.15
+0.34
Nahuel Tenaglia
589
+1.12
+0.19
Toni Martínez
119
+1.03
+0.87
Pablo Ibáñez
538
+0.97
+0.18
Aitor Mañas
35
+0.69
+1.97
Biggest single moves
OBV
1 Aitor Mañas · shot
+0.651
2 Lucas Boyé · shot
+0.634
3 Lucas Boyé · shot
+0.357
4 Mikel Rodríguez · shot
+0.304
5 Toni Martínez · shot
+0.301
6 Mariano Díaz · pass
+0.263
Set Pieces by Player
Who delivers Alaves’s dead balls and who finishes them this season. 41 corners taken, most by Denis Suárez (24); 26 shots from corners and free kicks, 1 goals, led by Ville Koski (1 goals, 0.49 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
Denis Suárez
24
21 (88%)
—
—
0.00
—
—
Lucas Boyé
—
—
5
—
0.15
3
1/1
Antonio Blanco
3
2 (67%)
3
—
0.09
—
—
Carles Aleñá
6
6 (100%)
1
—
0.08
—
—
Nahuel Tenaglia
—
—
3
—
0.10
—
—
Pablo Ibáñez
—
—
3
—
0.13
—
—
Nicolás Valentini
—
—
3
—
0.18
—
—
Abde Rebbach
7
7 (100%)
—
—
0.00
—
—
Toni Martínez
—
—
2
—
0.07
1
—
Ángel Pérez
—
—
2
—
0.27
—
—
Ville Koski
—
—
2
1
0.49
—
—
Youssef Enriquez
1
1 (100%)
1
—
0.02
—
—
Mariano Díaz
—
—
1
—
0.03
1
—
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
Denis Suárez
M
462
2.92
20
9.0
Ángel Pérez
M
690
1.70
18
7.3
Mariano Díaz
F
482
0.93
6
1.7
Antonio Blanco
M
777
0.46
7
8.5
Lucas Boyé
F
747
0.60
4
2.5
Abde Rebbach
M
816
0.11
8
7.3
Nahuel Tenaglia
D
908
0.20
7
9.6
Pablo Ibáñez
M
897
0.40
4
5.7
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)
Nahuel Tenaglia
FB
908
14 (29%)
6 (33%)
Ángel Pérez
W
690
3 (100%)
15 (47%)
Youssef Enriquez
FB
231
5 (60%)
3 (33%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Nahuel Tenaglia
D
908
177
24
14
38
Pablo Ibáñez
M
897
174
22
15
49
Lucas Boyé
F
747
158
17
0
27
Abde Rebbach
M
816
141
21
12
39
Antonio Blanco
M
777
136
20
14
43
Ville Koski
D
873
132
8
10
19
Jonny
D
692
104
14
6
28
Toni Martínez
F
533
94
5
0
6
Full Squad Data
Every player with 100+ minutes (19 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Antonio Sivera
G
10
962
0
0.0
1
79
20
15.6
Nahuel Tenaglia
D
10
908
1
0.6
2
43
177
9.6
Pablo Ibáñez
M
10
897
1
0.7
4
16
174
5.7
Ville Koski
D
10
873
1
0.6
0
20
132
6.4
Abde Rebbach
M
10
816
0
0.3
1
34
141
7.3
Antonio Blanco
M
10
777
0
0.3
4
33
136
8.5
Lucas Boyé
F
9
747
5
2.4
5
8
158
2.5
Jonny
D
8
692
0
0.2
2
14
104
6.5
Ángel Pérez
M
9
690
0
1.1
13
46
76
7.3
Toni Martínez
F
9
533
0
2.2
3
4
94
0.9
Nicolás Valentini
D
7
482
0
0.2
1
27
76
6.7
Mariano Díaz
F
10
482
3
1.1
5
6
55
1.7
Denis Suárez
M
9
462
0
0.3
15
40
57
9.0
Carles Aleñá
M
8
255
0
0.2
6
13
34
3.1
Youssef Enriquez
D
7
231
0
0.0
3
16
32
2.9
Carlos Protesoni
M
4
186
0
0.2
1
3
43
0.8
Mikel Rodríguez
M
3
156
1
0.4
3
3
29
0.8
Aitor Mañas
F
7
154
1
0.9
1
2
25
0.4
Ander Guevara
M
5
152
0
0.0
1
4
29
1.1
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.
Antonio Sivera
Goalkeeper · Goalkeeper
minutes962
goals · xG0 · 0.0
prog passes /907.4
key passes /900.09
def actions /901.9
pass accuracy68%
Nahuel Tenaglia
Stopper / marker · Defender
minutes908
goals · xG1 · 0.6
prog passes /904.3
key passes /900.20
def actions /9017.5
pass accuracy80%
Pablo Ibáñez
Ball-winner / destroyer · Midfielder
minutes897
goals · xG1 · 0.7
prog passes /901.6
key passes /900.40
def actions /9017.5
pass accuracy80%
Ville Koski
Stopper / marker · Defender
minutes873
goals · xG1 · 0.6
prog passes /902.1
key passes /900.00
def actions /9013.6
pass accuracy87%
Abde Rebbach
Ball-winner / destroyer · Midfielder
minutes816
goals · xG0 · 0.3
prog passes /903.8
key passes /900.11
def actions /9015.6
pass accuracy72%
Antonio Blanco
Ball-winner / destroyer · Midfielder
minutes777
goals · xG0 · 0.3
prog passes /903.8
key passes /900.46
def actions /9015.8
pass accuracy86%
Lucas Boyé
Ball-winner / destroyer · Midfielder
minutes747
goals · xG5 · 2.4
prog passes /901.0
key passes /900.60
def actions /9019.0
pass accuracy74%
Jonny
Stopper / marker · Defender
minutes692
goals · xG0 · 0.2
prog passes /901.8
key passes /900.26
def actions /9013.5
pass accuracy85%
Ángel Pérez
Deep-lying playmaker · Midfielder
minutes690
goals · xG0 · 1.1
prog passes /906.0
key passes /901.70
def actions /909.9
pass accuracy70%
Recruitment Intelligence — profiles to sign
The question
If you were sporting director, which player profiles would move the needle most?
Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.
Need — bottom-third: pass retention % (10th pct)
Sign a secure ball-retaining midfielder. The data flags this because possession is turned over cheaply (78.08, 10th percentile vs the league).
Need — bottom-third: box entries /game (30th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (10.20, 30th percentile vs the league).
Need — bottom-third: threat created /game (35th pct)
Sign a threat-generating creator between the lines. The data flags this because little threat is manufactured (9.93, 35th percentile vs the league).