Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2026
Elche
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #15 of 20 on 10 points (2-4-4, 14:17). 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 Elche and how good was the season?
Read. Elche currently sit #15 of 20 on 10 points (2W-4D-4L, 1.00 pts/game), scoring 14 and conceding 17 for a goal difference of -3.
On the ball they are a balanced-territory team (46% field tilt, #13 in the league); off it they defend with a aggressive high-press (#12 of 20 for press intensity).
Across the 10 matches of event data, they create 1.19 xG/game (#12) and concede 1.57 (#15), a net of -0.39 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Elche actually finish, and against whom?
The authoritative final table (full season), centred on Elche.
#
team
P
W
D
L
GF
GA
GD
Pts
12
Osasuna
10
3
2
5
10
20
-10
11
13
Racing Santander
10
3
2
5
15
26
-11
11
14
Levante
10
2
4
4
16
19
-3
10
15
Elche
10
2
4
4
14
17
-3
10
16
Rayo Vallecano
9
2
3
4
12
20
-8
9
17
Getafe
10
2
3
5
5
15
-10
9
18
Espanyol
10
2
2
6
12
14
-2
8
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Elche 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
Elche tend to come alive after the break — first-half net xG -3.15, second-half -0.70. Their strongest period is 16-30' (net +0.86 xG); their most dangerous period to face is 31-45' (net -2.13 xG against them).
xG Race — the season, match by match
Expected goals piling up over 10 matches: Elche against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (-3.9 xG). Hover a point for that match.
ElcheOpponents against Elche
Tactical DNA
The football question
In five genes, what is Elche'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.
45
Build-Up
possession control from the back
20
Progression
moving the ball upfield with threat
45
Creation
manufacturing chances
38
Press
winning the ball high & hard
25
Solidity
resisting the opponent's threat
Genetic identity
Elche are defined most by their Build-Up DNA (45/100 · average at possession control from the back), and least by their Progression DNA (20/100). 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
52%
Possession
87%
Field tilt
78%
Disrupt
Central progression ~proxy
70%
Dribble tendency
13%
Progressive passes
78%
Finish
Final-third patience
87%
Shot quality
17%
Open-play xG
22%
Press
Forward press ~proxy
78%
High regains
30%
Pressing efficiency ~proxy
4%
Defend
Def-mid press ~proxy
70%
High line ~proxy
43%
PAdj defensive actions
83%
Elche is defined most by Possess (72% in the league) and weakest on Press (38%). 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 Elche actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Elche'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; Elche highlighted. Hover any dot for the team.
Vision AI Model Insight
Elche post 46% field tilt, ranking #13 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.00 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 Elche has the ball, how much of that time is spent building, progressing and creating?
The share of Elche'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
31.4%
Progression
43.7%
Chance creation
23.3%
Attacking transition
1.6%
Vision AI Model Insight
Progression is where Elche spends most of its time on the ball (44% 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
Chust ↔ Dituro
198p · -1.7xT
Chust ↔ Revivo
109p · -0.6xT
Chust ↔ Redondo
91p · -0.4xT
Villar ↔ Chust
88p · 0.9xT
Redondo ↔ Dituro
87p · -0.5xT
Valera ↔ Chust
86p · -0.4xT
Chust ↔ Morcillo
79p · -0.4xT
Villar ↔ Valera
60p · 0.7xT
Chust ↔ Aguado
58p · -0.1xT
Lemar ↔ Chust
54p · 0.3xT
Vision AI Model Insight
Busiest connection: Victor Chust ↔ Matías Dituro (198 passes). Most dangerous per pass: Thomas Lemar ↔ Germán Valera (0.02 xT/pass over 54 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Elche 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 Elche 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
5029
ACTIONS
Carries
the ball moved with a player
1304
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (13.2% of all actions). 60% of actions run through the inside lanes (centre + both half-spaces) versus 40% down the two wings — an inside-dominant, half-space build. By third: 33% defensive, 47% 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. Elche leaned on their left (41%). The bars under the pitch put the league’s share beside theirs.
Elche
41%19%39%
League
38%23%39%
Final-Third Entries
Every completed pass or carry that took the ball from outside the final third into it, by the channel it arrived in. Elche made 361 this season (36.1 a match); 32% 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
109
10.9
30%
29%
Left half-space
57
5.7
16%
15%
Centre
37
3.7
10%
12%
Right half-space
44
4.4
12%
15%
Right wing
114
11.4
32%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Elche 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.
1679build-up passes attempted
80%completed
24%reach the middle third
1%go long into the final third
Pass types
553CB · 41%
106Long Wide · 8%
21Long Central · 2%
506Wide → FB · 38%
161Central · 12%
Sequence success — build-up
117build-up sequences this season
9%succeed — reach the next third or a shot
43%turned over with nothing to show
CB553 · 41%
Long Wide106 · 8%
Long Central21 · 2%
Wide → FB506 · 38%
Central161 · 12%
◆ Vision AI Insight
Elche build predominantly down the left, with Dituro as the fulcrum (374 build-up passes). Only 25% 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 (133×).
Pass Explorer
Every pass of Elche’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. 391 progressive passes across 10 matches (39.1/game).
Origin lane
Right wing
27%
Right half-space
13%
Central
19%
Left half-space
13%
Left wing
29%
Progression is left-dominant: 40% right side · 19% central · 41% left.
Who generates it
Matías Dituro
71 · 18%
Germán Valera
47 · 12%
Víctor Chust
46 · 12%
Gonzalo Villar
27 · 7%
Tete Morente
27 · 7%
Top two — Matías Dituro & Germán Valera — account for 30% of all progression.
PROGRESSION
39.1 prog passes/game
mostly left
→
PENETRATION
20% reach final third
24% reach the box
→
THREAT
the other 80% is recycled
progress ≠ danger
What came of it.20% of progressive passes reached the final third and 24% the box; the rest was recycled in front of the block. 30% of the progression ran through two players, mostly down the left side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacesterile
Left wingbalanced
Progression — the pass map
The football question
Once Elche 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.
2311progression passes attempted
89%completed
12%break into the final third
12%go backward into the defensive third
Pass types
749CB · 36%
52Long Wide · 3%
13Long Central · 1%
990Wide → FB · 48%
258Central · 13%
Sequence success — progression
196progression sequences this season
22%succeed — reach the next third or a shot
36%turned over with nothing to show
CB749 · 36%
Long Wide52 · 3%
Long Central13 · 1%
Wide → FB990 · 48%
Central258 · 13%
◆ Vision AI Insight
Elche progress predominantly down the right, with Chust the busiest midfield outlet (315 progression passes). Only 12% of passes that start in midfield actually break the final-third line — the rest (76%) is recycled back into midfield or (12%) 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 (116×) — 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)
11%
Progressive
1%
Neutral / sideways
49%
Safe / backward
39%
12% of passes are progressive-or-better; the remaining 88% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Elche actually progress the ball with their feet, not a pass?
290 progressive carries this season across the whole squad (22% of 1304 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 65m. Most active carrier: Chust (46). Filter to one player below.
First (87)Second (85)Third (66)Fourth (52)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 Elche'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.
115shots
11.9xG
0.10xG per shot
6big chances (0.3+ xG)
14goals
#12key passes / game in the league
#7box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition24% of shots
28
3
1.95
0.07
Cross
3
0
0.20
0.07
Cut-back
3
1
0.22
0.07
Long ball
1
1
0.09
0.09
Pass into the box / short pass
13
1
1.09
0.08
Own creation (carry, dribble, rebound)
8
0
0.35
0.04
Settled attack51% of shots
59
7
5.95
0.10
Cross
13
2
1.94
0.15
Cut-back
4
0
0.73
0.18
Long ball
1
0
0.05
0.05
Pass into the box / short pass
33
5
2.66
0.08
Own creation (carry, dribble, rebound)
8
0
0.55
0.07
Set piece24% of shots
28
4
3.99
0.14
Corner
19
1
1.47
0.08
Free kick
6
0
0.14
0.02
Penalty
3
3
2.38
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
Germán Valera
13
1.51
1
Gonzalo Villar
8
0.75
0
Tete Morente
5
0.73
2
Thomas Lemar
6
0.68
0
Lucas Cepeda
8
0.62
2
Who takes them
Player
Shots
xG
Goals
Fer Niño
16
3.30
6
Abiel Osorio
10
1.17
1
Facundo Buonanotte
8
1.16
1
Ali Houary
5
0.93
0
Federico Redondo
2
0.86
1
Vision AI Model Insight
The biggest source of Elche's chances, by xG, is settled attack (5.9 of 11.9 xG, 59 of 115 shots), mostly pass into the box / short pass. 28 of the 115 shots (24%) came within 15 seconds of winning the ball. 28 of the 115 shots came from set pieces; 14 goals from 11.9 xG (+2.1).
Chance Creation — the pass map
The football question
How does Elche 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
19CB · 24%
2Long Wide · 2%
5Long Central · 6%
26Wide → FB · 32%
28Central · 35%
Sequence success — final-third
130final-third sequences this season
18%succeed — produce a shot
38%turned over with nothing to show
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB19 · 24%
Long Wide2 · 2%
Long Central5 · 6%
Wide → FB26 · 32%
Central28 · 35%
Who creates — volume × threat
13Valera
11Villar
9Cepeda
6Lemar
5Morente
5Revivo
5Josan
80key passes #12 of 20
12.3box entries/game #7 of 20
25.7final-3rd entries/game #17 of 20
1.19xG/game #12 of 20
14goals #10 of 20
+2.1finishing vs xG #7 of 20
◆ Vision AI Insight
Elche lean right — 42% of their key passes come from that flank and its half-space (34 of 80), most often from Cepeda (6). They funnel chances into the c of the final third, most often via LHS att → C att (11 key passes, most often from Valera). Valera is the primary source overall. They generate 1.19 xG a game and finish it clinical — they beat their xG, led by Fer Niño (6G), Germán Valera (2G), Thomas Lemar (1G).
Crosses & Cutbacks — squad-wide
The question
How does Elche deliver into the box from wide areas, and what comes of it?
130 crosses: 54 found a team-mate (42%), 16 led to a shot (12%). 27 cut-backs: 13 found a team-mate (48%), 8 led to a shot (30%). 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 Elche actually cross from?
130 crosses this season (the same crosses as the map above), split into fifteen territories — five channels (both wings, both half-spaces and the centre) by three depths from the halfway line to the byline. 25% come from one territory, the advanced left wing; 4 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · left wing
32
25%
2
byline · right wing
31
24%
5
byline · left wing
24
18%
3
advanced · right wing
23
18%
3
deep · right wing
12
9%
0
deep · left wing
4
3%
2
byline · right half-space
2
2%
0
advanced · left half-space
1
1%
0
byline · left half-space
1
1%
1
Finishing3 sections
Shot Map
115 shots for 11.9 xG (1.19/game, #12 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 11.5 shots/game at 0.103 xG/shot. Box entries 12/game (#7). Threat created 9.7 xT/game (#15).
Goal Sequences
The move behind each of Elche’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 Elche scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
10 · 71%
Set pieces
1 · 7%
Penalties
3 · 21%
By finish
Right foot
6 · 43%
Left foot
4 · 29%
Header
3 · 21%
Other
1 · 7%
Vision AI Model Insight
14 goals scored. 71% 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
256
Failed forward pass
175
Failed take-on
98
Lost in the defensive third
332
Their weakest zone is the right wing in the defensive third: 31% of 164 pass attempts there are lost (51 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 Elche 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.
24
Pressing Index /100 · passive
Intensity33
PPDA, high-press share, high-zone actions
Height35
how high up the pitch they defend
Effectiveness5
high recoveries & high-regain share
Disruption30
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
17%
RHS
26%
C
23%
LHS
17%
LW
17%
By third (high / mid / low regain)
Def 51%
Mid 36%
Att 13%
Read
Ranked #12 of 20 for press intensity, this is a high press. Note the tension: 51% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (22% high-press share) means that when they do defend, it is often deep. Of recoveries, 45% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#12/20
lower = more intense; rank is what matters
Defensive actions / game
143
#15/20
High-press share
22%
#12/20
def actions won high up
Defensive-action height (0–100)
37.4
#13/20
avg pitch height of actions
High recoveries / game
17.4
#19/20
ball won in mid+att third
High-recovery share
45%
#19/20
share of recoveries won high
Opponent completion allowed
85%
#15/20
lower = more disruptive
Opponent progressive allowed
9.6%
#13/20
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 Elche win it back with a defensive action?
Counted over the 301 opposition possessions that Elche 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 Elche step in. Elche win it after 6.0 opponent passes in the first half-hour and after 6.1 after the hour mark (about the same).
PASSES THEY GET
6.1passes
median 4 · before Elche win it
TIME THEY KEEP IT
18sec
median 11s · 30.1 wins per game
How many passes the opponent got in before the ball was won
38%
22%
17%
23%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.9
21s
15–30′
5.3
17s
30–45+′
5.7
16s
45–60′
6.2
18s
60–75′
6.4
19s
75–90+′
6.0
17s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Elche 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 Elche 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) 1,679 passes
narrow, central
Width of use-0.9319.08
Wide-channel share-0.770.26
Side bias+0.451.86
Pass length+0.1523.22
Long-ball share+0.180.25
Forward gain per pass+0.0111.51
Backward-pass share+0.740.23
Deep-pass share+0.030.29
Completion-0.060.79
Seconds between passes-0.043.30
Side used
left 28% · central 49% · right 23%
Progression (middle third) 2,311 passes
circulating, shorter passing, playing short
Width of use+0.5026.64
Wide-channel share+0.570.44
Side bias+0.662.67
Pass length-1.0515.77
Long-ball share-0.480.08
Forward gain per pass-1.101.95
Backward-pass share+0.850.37
Deep-pass share-1.000.11
Completion+0.550.88
Seconds between passes-0.672.90
Side used
left 40% · central 26% · right 34%
Final third 1,039 passes
nothing unusual in this zone
Width of use+0.5232.89
Wide-channel share+0.410.62
Side bias+0.02-0.32
Pass length-0.6014.53
Long-ball share-0.400.08
Forward gain per pass-0.200.77
Backward-pass share+0.350.41
Deep-pass share+0.400.10
Completion+0.690.75
Seconds between passes-0.133.30
Side used
left 44% · central 13% · right 44%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Elche'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 Elche 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 20 · reaches final third in ≤3 passes
Patient build-up share31%
#6 of 20 · spells of 6+ passes
Tempo (possession length)20.7s
#18 of 20 · shorter = faster tempo
Passes per possession5.2
#6 of 20
Counter-attack shots /game0.83
#16 of 20 · shot within 12s of a regain in own half
Press→shot /game2.27
#19 of 20 · shot within 8s of a high regain
Speed to final third after regain15.1s
#19 of 20 · lower = faster break
Sequence success — attacking transition
11attacking transition sequences this season
9%succeed — produce a shot
36%turned over with nothing to show
Sequence success — defensive transition
35defensive transition sequences this season
69%succeed — reach the next third or a shot
9%turned over with nothing to show
Vision AI Model Insight
Elche are a patient build-up side: 15% of possessions reach the final third in 3 passes or fewer (#19 of 20), against 31% built patiently over 6+ passes (#6 of 20). Winning the ball back leads to a shot inside 12 seconds 0.83 times a game (#16), and a high regain converts to a shot within 8 seconds 2.27 times a game (#19 of 20) — not yet a major source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Elche? 478 opponent progressive passes and 152 shots faced (15.7 xG against) across the season.
Opponent threat by lane (attacking into Elche)
Right wing
24%
Right half-space
14%
Central
16%
Left half-space
15%
Left wing
31%
Where the danger came from. Opponents generated most of their threat through the left wing (31% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Elche actually come from — open play, dead balls, and who supplies them?
Every goal Elche conceded across the loaded matches — the opponent's shots in Elche'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 (106 total)
By situation
Open play
13 · 87%
Set pieces
1 · 7%
Penalties
1 · 7%
Vision AI Model Insight
15 goals conceded. 87% come in open play; set pieces account for only 7%, so dead-ball defending is not the main issue. 0% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the centre of the attacking third (22% 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
10 g · 7.9 xG
Set pieces
1 g · 1.6 xG
Penalties
3 g
7% of goals come from set pieces (1 of 14), worth 1.6 xG from 25 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Elche's corners go?
44 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 78%Short 22%
Left side (21)
Delivered into the box 100%Short 0%
Where opponents attack Elche from set pieces
22 shots from opponent corners against Elche, 1 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (8)
Shot 8Goals 1
Left flag (14)
Shot 14Goals 0
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
box entries /game — 12.30 (65th pct)
Weaknesses (bottom-third vs league)
progression /game — 39.10 (15th pct)
xG conceded /game — 1.57 (25th pct)
threat created /game — 9.72 (25th pct)
shots /game — 11.50 (30th pct)
field tilt % — 46.31 (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.
Malaga
85%
Levante
69%
Real Sociedad
61%
Deportivo
57%
Valencia
54%
Performance vs Opponent Styles
The question
Not just how Elche 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 Elche's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (3m)
2.33
0.67
2.33
vs mid-block opponents (3m)
0.67
2.67
0.33
vs low-block opponents (4m)
1.25
1.75
0.50
Behaviour — how Elche actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
75%
20%
31
7.5
7.7
vs mid-block opponents
81%
14%
40
10.1
14.0
vs low-block opponents
88%
10%
45
11.1
14.5
Vision AI Model Insight
Facing a high press, retention drops to 75% vs 88% against a low block (12pt lower under pressure), and directness (long-ball share) sits at 20% 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. Elche are balanced-territory with a aggressive high-press.
Their attack creates 1.19 xG a game and they concede 1.57 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 Elche’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.
Elche
across 10 matches this season
PPDAat Athletic Club · 1-1 · 2026-09-1210.7avg 6.0
Threat from passingvs Real Sociedad · 2-3 · 2026-09-077.07avg 4.48
Progressive passesvs Celta Vigo · 0-0 · 2026-10-1158avg 39
Defensive actionsvs Celta Vigo · 0-0 · 2026-10-11110avg 143
Field tiltat Athletic Club · 1-1 · 2026-09-1215%avg 46%
Final-third entriesat Athletic Club · 1-1 · 2026-09-1212avg 36
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 Elche’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).
+16.2on-ball value, 10 matches
Where the value came from
Passes5029 actions+4.45
Carries1304 actions+1.20
Dribbles170 actions+0.08
Shots115 actions+7.12
Ball wins584 actions+3.31
Most on-ball value (OBV)
Actions
OBV
per 100
Fer Niño
249
+2.21
+0.89
Matías Dituro
639
+1.78
+0.28
Federico Redondo
418
+1.51
+0.36
Germán Valera
519
+1.40
+0.27
Facundo Buonanotte
185
+1.29
+0.70
Rubén Sánchez
143
+1.24
+0.86
Lucas Cepeda
356
+1.15
+0.32
Víctor Chust
1000
+0.95
+0.10
Biggest single moves
OBV
1 Facundo Buonanotte · shot
+0.810
2 Federico Redondo · shot
+0.786
3 Fer Niño · shot
+0.764
4 Fer Niño · shot
+0.546
5 Rubén Sánchez · ball win
+0.522
6 Tete Morente · pass
+0.436
Set Pieces by Player
Who delivers Elche’s dead balls and who finishes them this season. 44 corners taken, most by Gonzalo Villar (9); 25 shots from corners and free kicks, 1 goals, led by Marc Aguado (1 goals, 0.19 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
Lucas Cepeda
7
2 (29%)
4
—
0.15
1
—
Thomas Lemar
8
5 (62%)
2
—
0.07
1
—
Víctor Chust
4
4 (100%)
3
—
0.15
2
—
Facundo Buonanotte
3
2 (67%)
2
—
0.04
2
1/1
Gonzalo Villar
9
7 (78%)
1
—
0.04
—
—
Tete Morente
—
—
4
—
0.08
—
—
David Affengruber
—
—
3
—
0.24
—
—
Marc Aguado
—
—
3
1
0.19
—
—
Fer Niño
—
—
1
—
0.05
—
1/1
Germán Valera
4
2 (50%)
—
—
0.00
—
—
Martim Neto
4
3 (75%)
—
—
0.00
—
—
Josan
3
1 (33%)
—
—
0.00
—
—
Ali Houary
—
—
1
—
0.59
—
—
Federico Redondo
—
—
—
—
0.00
—
1/1
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
Germán Valera
D
863
1.36
20
8.5
Gonzalo Villar
M
801
1.24
16
8.0
Lucas Cepeda
M
426
1.90
10
4.3
Thomas Lemar
M
406
1.33
12
6.8
Tete Morente
M
533
0.84
13
5.9
Roy Revivo
D
567
0.79
10
4.8
Fer Niño
F
647
0.28
7
1.4
Víctor Chust
D
949
0.28
5
12.8
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)
Roy Revivo
FB
567
2 (0%)
4 (100%)
Buba Sangaré
FB
727
3 (33%)
2 (50%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Víctor Chust
D
949
144
16
12
40
Gonzalo Villar
M
801
131
18
5
41
Fer Niño
F
647
124
9
2
14
Germán Valera
D
863
107
11
7
26
Federico Redondo
D
576
100
14
12
35
Buba Sangaré
D
727
89
17
5
12
Javier Morcillo
M
620
85
10
8
26
Roy Revivo
D
567
82
4
9
15
Full Squad Data
Every player with 100+ minutes (21 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Víctor Chust
D
10
949
0
0.3
3
46
144
12.8
Matías Dituro
G
10
949
0
0.0
1
71
24
14.0
Germán Valera
D
10
863
2
0.6
13
47
107
8.5
Gonzalo Villar
M
10
801
0
0.6
11
27
131
8.0
Buba Sangaré
D
9
727
1
0.0
2
19
89
4.5
Fer Niño
F
10
647
6
3.3
2
4
124
1.4
Javier Morcillo
M
8
620
0
0.1
2
7
85
2.7
Federico Redondo
D
7
576
1
0.9
2
16
100
5.2
Roy Revivo
D
7
567
0
0.2
5
17
82
4.8
Tete Morente
M
10
533
0
0.3
5
27
78
5.9
Lucas Cepeda
M
10
426
0
0.7
9
19
58
4.3
Thomas Lemar
M
7
406
1
0.3
6
26
65
6.8
Marc Aguado
M
6
380
1
0.2
2
6
50
2.3
Abiel Osorio
F
7
332
1
1.2
1
0
54
0.2
David Affengruber
D
3
284
0
0.3
1
6
51
3.1
Facundo Buonanotte
M
6
275
1
1.2
2
11
46
2.4
Martim Neto
M
7
248
0
0.3
4
8
18
2.5
Adam Boayar
D
5
218
0
0.0
0
5
25
2.0
Rubén Sánchez
D
5
214
0
0.1
1
18
44
3.2
Ali Houary
M
3
188
0
0.9
2
2
19
1.0
Ezequiel Ponce
F
3
129
0
0.2
1
2
18
0.2
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.
Matías Dituro
Goalkeeper · Goalkeeper
minutes949
goals · xG0 · 0.0
prog passes /906.7
key passes /900.09
def actions /902.3
pass accuracy70%
Víctor Chust
Stopper / marker · Defender
minutes949
goals · xG0 · 0.3
prog passes /904.4
key passes /900.28
def actions /9013.7
pass accuracy89%
Germán Valera
Ball-playing defender · Defender
minutes863
goals · xG2 · 0.6
prog passes /904.9
key passes /901.36
def actions /9011.2
pass accuracy82%
Gonzalo Villar
Ball-winner / destroyer · Midfielder
minutes801
goals · xG0 · 0.6
prog passes /903.0
key passes /901.24
def actions /9014.7
pass accuracy86%
Buba Sangaré
Stopper / marker · Defender
minutes727
goals · xG1 · 0.0
prog passes /902.4
key passes /900.25
def actions /9011.0
pass accuracy80%
Fer Niño
Poacher / finisher · Forward
minutes647
goals · xG6 · 3.3
prog passes /900.6
key passes /900.28
def actions /9017.2
pass accuracy70%
Javier Morcillo
Ball-winner / destroyer · Midfielder
minutes620
goals · xG0 · 0.1
prog passes /901.0
key passes /900.29
def actions /9012.3
pass accuracy91%
Federico Redondo
Stopper / marker · Defender
minutes576
goals · xG1 · 0.9
prog passes /902.5
key passes /900.31
def actions /9015.6
pass accuracy93%
Roy Revivo
Stopper / marker · Defender
minutes567
goals · xG0 · 0.2
prog passes /902.7
key passes /900.79
def actions /9013.0
pass accuracy81%
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: progression /game (15th pct)
Sign a progressive passer / ball-carrier to break lines. The data flags this because progression is limited (39.10, 15th percentile vs the league).
Need — bottom-third: xG conceded /game (25th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.57, 25th percentile vs the league).
Need — bottom-third: threat created /game (25th pct)
Sign a threat-generating creator between the lines. The data flags this because little threat is manufactured (9.72, 25th percentile vs the league).