Combining every season — this one is larger, give it a moment.
Team reportLa Liga 2025/26
Elche
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Finished #13 of 20 on 43 points (10-13-15, 49:57). 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 Elche and how good was the season?
Read. Elche finished #13 of 20 on 43 points (10W-13D-15L, 1.13 pts/game), scoring 49 and conceding 57 for a goal difference of -8.
On the ball they are a balanced-territory team (53% field tilt, #5 in the league); off it they defend with a aggressive high-press (#2 of 20 for press intensity).
Across the 38 matches of event data, they create 1.06 xG/game (#17) and concede 1.48 (#18), a net of -0.43 xG/game — the underlying performance diverges from 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
10
Real Sociedad
38
11
13
14
59
61
-2
46
11
Espanyol
38
12
10
16
43
55
-12
46
12
Athletic Club
38
13
6
19
43
58
-15
45
13
Elche
38
10
13
15
49
57
-8
43
14
Alaves
38
11
10
17
44
56
-12
43
15
Sevilla
38
12
7
19
46
60
-14
43
16
Osasuna
38
11
9
18
44
50
-6
42
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 fade after a strong start — first-half net xG -5.88, second-half -10.28. Their strongest period is 16-30' (net -0.31 xG); their most dangerous period to face is 76-90+' (net -6.79 xG against them).
xG Race — the season, match by match
Expected goals piling up over 38 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 (-16.2 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.
75
Build-Up
possession control from the back
78
Progression
moving the ball upfield with threat
27
Creation
manufacturing chances
82
Press
winning the ball high & hard
10
Solidity
resisting the opponent's threat
Genetic identity
Elche are defined most by their Press DNA (82/100 · strong at winning the ball high & hard), and least by their Solidity DNA (10/100). 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 53% field tilt, ranking #5 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.13 points/game sits below the league-average return — a real disconnect: their territorial control isn't showing up on the scoreboard the way it should.
Where the time goes — how long each phase lasts
The question
When 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
27.2%
Progression
48.5%
Chance creation
22.5%
Attacking transition
1.8%
Vision AI Model Insight
Progression is where Elche spends most of its time on the ball (49% of its time on the ball).
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Dituro ↔ Affengruber
419p · 14.4xT
Chust ↔ Affengruber
391p · 7.9xT
Febas ↔ Valera
381p · 19.3xT
Boayar ↔ Febas
363p · 13.3xT
Boayar ↔ Dituro
310p · 11.3xT
Boayar ↔ Valera
286p · 15.6xT
Febas ↔ Aguado
281p · 9.2xT
Boayar ↔ Affengruber
281p · 6.4xT
Affengruber ↔ Aguado
277p · 7.7xT
Chust ↔ Dituro
269p · 12.1xT
Vision AI Model Insight
Busiest connection: Matías Dituro ↔ David Affengruber (419 passes). Most dangerous per pass: Adam Boayar ↔ Germán Valera (0.05 xT/pass over 286 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 380 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
20381
ACTIONS
Carries
the ball moved with a player
4598
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (13.7% of all actions). 63% of actions run through the inside lanes (centre + both half-spaces) versus 37% down the two wings — an inside-dominant, half-space build. By third: 29% defensive, 49% middle, 22% attacking.
Attack Sides
Which channel they attacked through this season: the share of every action made in the opponent’s half, down the left, through the middle and down the right. Elche leaned on their left (41%). The bars under the pitch put the league’s share beside theirs.
Elche
41%22%37%
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. Elche made 1764 this season (46.4 a match); 32% 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
556
14.6
32%
30%
Left half-space
276
7.3
16%
15%
Centre
226
5.9
13%
12%
Right half-space
238
6.3
13%
14%
Right wing
468
12.3
27%
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.
5838build-up passes attempted
81%completed
30%reach the middle third
2%go long into the final third
Pass types
2039CB · 43%
357Long Wide · 8%
99Long Central · 2%
1549Wide → FB · 33%
691Central · 15%
Sequence success — build-up
1146build-up sequences this season
10%succeed — reach the next third or a shot
37%turned over with nothing to show
CB2039 · 43%
Long Wide357 · 8%
Long Central99 · 2%
Wide → FB1549 · 33%
Central691 · 15%
◆ Vision AI Insight
Elche build predominantly down the right, with Dituro as the fulcrum (939 build-up passes). Only 32% 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 → RHS def (344×).
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. 1777 progressive passes across 38 matches (46.8/game).
Origin lane
Right wing
27%
Right half-space
13%
Central
19%
Left half-space
11%
Left wing
29%
Progression is left-dominant: 40% right side · 19% central · 41% left.
Who generates it
Matías Dituro
180 · 10%
Germán Valera
174 · 10%
Álvaro Núñez
162 · 9%
Adam Boayar
134 · 8%
David Affengruber
132 · 7%
Top two — Matías Dituro & Germán Valera — account for 20% of all progression.
PROGRESSION
46.8 prog passes/game
mostly left
→
PENETRATION
27% reach final third
18% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it.27% of progressive passes reached the final third and 18% the box; the rest was recycled in front of the block. 20% 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-spacebalanced
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.
9855progression passes attempted
88%completed
16%break into the final third
13%go backward into the defensive third
Pass types
3739CB · 43%
185Long Wide · 2%
27Long Central · 0%
3725Wide → FB · 43%
998Central · 12%
Sequence success — progression
1868progression sequences this season
24%succeed — reach the next third or a shot
39%turned over with nothing to show
CB3739 · 43%
Long Wide185 · 2%
Long Central27 · 0%
Wide → FB3725 · 43%
Central998 · 12%
◆ Vision AI Insight
Elche progress predominantly down the left, with Affengruber the busiest midfield outlet (1102 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (71%) 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 LW mid → LHS mid (414×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
13%
Progressive
1%
Neutral / sideways
47%
Safe / backward
38%
15% of passes are progressive-or-better; the remaining 85% 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?
1106 progressive carries this season across the whole squad (25% of 4487 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 14m, longest 53m. Most active carrier: Affengruber (187). Filter to one player below.
First (331)Second (325)Third (284)Fourth (166)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.
410shots
40.1xG
0.10xG per shot
18big chances (0.3+ xG)
47goals
#10key passes / game in the league
#9box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition23% of shots
94
14
9.35
0.10
Cross
5
1
0.67
0.13
Cut-back
5
2
0.84
0.17
Long ball
8
0
0.56
0.07
Pass into the box / short pass
53
7
4.57
0.09
Own creation (carry, dribble, rebound)
23
4
2.71
0.12
Settled attack61% of shots
249
24
23.10
0.09
Cross
56
1
5.52
0.10
Cut-back
32
6
4.16
0.13
Long ball
14
1
1.17
0.08
Pass into the box / short pass
110
11
9.72
0.09
Own creation (carry, dribble, rebound)
37
5
2.52
0.07
Set piece16% of shots
67
9
7.67
0.11
Corner
53
4
3.49
0.07
Free kick
9
1
0.21
0.02
Penalty
5
4
3.97
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
41
4.81
6
Álvaro Rodríguez
36
3.99
5
Josan
18
2.51
3
Aleix Febas
25
1.86
2
Álvaro Núñez
15
1.76
2
Who takes them
Player
Shots
xG
Goals
André Silva
57
9.04
10
Álvaro Rodríguez
76
8.58
7
Rafa Mir
69
6.90
8
Germán Valera
28
2.29
4
Aleix Febas
23
2.04
2
Vision AI Model Insight
The biggest source of Elche's chances, by xG, is settled attack (23.1 of 40.1 xG, 249 of 410 shots), mostly pass into the box / short pass. 94 of the 410 shots (23%) came within 15 seconds of winning the ball. 67 of the 410 shots came from set pieces; 47 goals from 40.1 xG (+6.9).
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
54CB · 18%
19Long Wide · 6%
25Long Central · 8%
82Wide → FB · 27%
128Central · 42%
Sequence success — final-third
1181final-third sequences this season
20%succeed — produce a shot
34%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
CB54 · 18%
Long Wide19 · 6%
Long Central25 · 8%
Wide → FB82 · 27%
Central128 · 42%
Who creates — volume × threat
43Valera
31Rodríguez
26Febas
24Neto
21Pedrosa
21Josan
20Núñez
308key passes #10 of 20
11.4box entries/game #9 of 20
38.2final-3rd entries/game #4 of 20
1.06xG/game #17 of 20
47goals #8 of 20
+6.9finishing vs xG #4 of 20
◆ Vision AI Insight
Elche lean left — 46% of their key passes come from that flank and its half-space (142 of 308), most often from Valera (32). They funnel chances into the c of the final third, most often via LHS att → C att (40 key passes, most often from Valera). Valera is the primary source overall. They generate 1.06 xG a game and finish it clinical — they beat their xG, led by André Silva (10G), Rafa Mir (8G), Álvaro Rodríguez (7G).
Crosses & Cutbacks — squad-wide
The question
How does Elche deliver into the box from wide areas, and what comes of it?
518 crosses: 179 found a team-mate (35%), 68 led to a shot (13%). 102 cut-backs: 50 found a team-mate (49%), 37 led to a shot (36%). 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?
518 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. 29% come from one territory, the byline right wing; 19 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
149
29%
20
byline · left wing
123
24%
22
advanced · left wing
94
18%
11
advanced · right wing
92
18%
9
deep · left wing
21
4%
3
deep · right wing
20
4%
0
advanced · right half-space
8
2%
1
byline · right half-space
3
1%
2
byline · left half-space
3
1%
0
deep · left half-space
2
0%
0
advanced · left half-space
2
0%
0
deep · right half-space
1
0%
0
Finishing3 sections
Shot Map
410 shots for 40.1 xG (1.06/game, #17 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 10.8 shots/game at 0.098 xG/shot. Box entries 11/game (#9). Threat created 11.7 xT/game (#4).
Goal Sequences
The move behind each of Elche’s 49 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 — 49 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
38 · 81%
Set pieces
5 · 11%
Penalties
4 · 9%
By finish
Right foot
25 · 53%
Left foot
19 · 40%
Header
3 · 6%
Vision AI Model Insight
47 goals scored. 81% 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
1012
Failed forward pass
704
Failed take-on
444
Lost in the defensive third
1103
Their weakest zone is the left wing in the defensive third: 32% of 626 pass attempts there are lost (201 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.
40
Pressing Index /100 · passive
Intensity58
PPDA, high-press share, high-zone actions
Height35
how high up the pitch they defend
Effectiveness22
high recoveries & high-regain share
Disruption42
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
17%
RHS
22%
C
23%
LHS
20%
LW
18%
By third (high / mid / low regain)
Def 53%
Mid 34%
Att 13%
Read
Ranked #2 of 20 for press intensity, this is a high press. Note the tension: 53% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (20% high-press share) means that when they do defend, it is often deep. Of recoveries, 50% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#2/20
lower = more intense; rank is what matters
Defensive actions / game
127
#16/20
High-press share
20%
#11/20
def actions won high up
Defensive-action height (0–100)
36.0
#13/20
avg pitch height of actions
High recoveries / game
19.7
#14/20
ball won in mid+att third
High-recovery share
50%
#17/20
share of recoveries won high
Opponent completion allowed
79%
#3/20
lower = more disruptive
Opponent progressive allowed
11.2%
#20/20
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 1195 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 4.3 opponent passes in the first half-hour and after 3.5 after the hour mark (sooner).
PASSES THEY GET
3.9passes
median 2 · before Elche win it
TIME THEY KEEP IT
12sec
median 5s · 31.4 wins per game
How many passes the opponent got in before the ball was won
51%
29%
12%
8%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
4.6
15s
15–30′
4.0
12s
30–45+′
4.1
14s
45–60′
3.5
10s
60–75′
3.4
10s
75–90+′
3.6
12s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Elche 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.
7,404phase segments analysed
10.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#8of 20 for share of defending spent pressing high
High press 8.1%Mid block 11.2%Low block 50.1%Unopposed 30.6%
What opponents do against Elche
The mirror image, and the part no other section can show: whether teams come
out to press Elche 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 7.1%Mid block 13.0%Low block 50.4%Unopposed 29.5%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,442
5.4s
3.0
0.2%
47.4%
Progression
3,108
7.5s
4.2
0.5%
42.9%
Chance creation
1,719
6.3s
3.6
22.1%
51.1%
Attacking transition
135
6.5s
4.0
2.2%
43.0%
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
892
0.0%
progression
670
0.0%
build_up → progression
379
0.5%
progression → chance_creation
329
21.9%
chance_creation
319
35.1%
build_up → progression → chance_creation
184
34.8%
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) 5,838 passes
narrow, central, played inside
Width of use-1.6917.52
Wide-channel share-1.180.23
Side bias-0.28-0.89
Pass length-0.1222.27
Long-ball share+0.080.24
Forward gain per pass+0.0811.82
Backward-pass share+0.220.21
Deep-pass share+0.140.30
Completion+0.170.81
Seconds between passes+0.643.71
Side used
left 21% · central 56% · right 23%
Progression (middle third) 9,855 passes
nothing unusual in this zone
Width of use-0.3324.88
Wide-channel share-0.310.38
Side bias+0.140.60
Pass length-0.8016.10
Long-ball share-0.460.08
Forward gain per pass-0.622.67
Backward-pass share+0.450.35
Deep-pass share-0.440.14
Completion+0.410.87
Seconds between passes+0.333.34
Side used
left 35% · central 31% · right 33%
Final third 4,688 passes
safer
Width of use+0.2432.20
Wide-channel share+0.280.61
Side bias+0.321.78
Pass length-0.6914.40
Long-ball share-0.670.07
Forward gain per pass-0.600.24
Backward-pass share+0.550.42
Deep-pass share-0.120.08
Completion+0.890.77
Seconds between passes-0.503.03
Side used
left 45% · central 14% · right 40%
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
#17 of 20 · shorter = faster tempo
Passes per possession5.2
#5 of 20
Counter-attack shots /game0.83
#16 of 20 · shot within 12s of a regain in own half
Press→shot /game2.27
#18 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
97attacking transition sequences this season
12%succeed — produce a shot
47%turned over with nothing to show
Sequence success — defensive transition
318defensive transition sequences this season
64%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 (#18 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? 1676 opponent progressive passes and 526 shots faced (56.3 xG against) across the season.
Opponent threat by lane (attacking into Elche)
Right wing
32%
Right half-space
13%
Central
19%
Left half-space
13%
Left wing
23%
Where the danger came from. Opponents generated most of their threat through the right wing (32% 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 (385 total)
By situation
Open play
48 · 84%
Set pieces
3 · 5%
Penalties
6 · 11%
Vision AI Model Insight
57 goals conceded. 84% come in open play; set pieces account for only 5%, so dead-ball defending is not the main issue. 11% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the centre of the attacking third (19% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
38 g · 32.5 xG
Set pieces
5 g · 3.7 xG
Penalties
4 g
11% of goals come from set pieces (5 of 47), worth 3.7 xG from 62 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Elche's corners go?
145 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 (67)
Delivered into the box 93%Short 7%
Left side (78)
Delivered into the box 94%Short 6%
Where opponents attack Elche from set pieces
69 shots from opponent corners against Elche, 3 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 (34)
Shot 34Goals 0
Left flag (35)
Shot 35Goals 3
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
press intensity (PPDA) — 5.77 (90th pct)
threat created /game — 11.69 (80th pct)
field tilt % — 53.25 (75th pct)
progression /game — 46.76 (75th pct)
pass retention % — 83.83 (75th pct)
Weaknesses (bottom-third vs league)
xG conceded /game — 1.48 (10th pct)
xG created /game — 1.06 (15th pct)
shots /game — 10.79 (15th 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.
Real Sociedad
77%
Sevilla
46%
Mallorca
34%
Real Oviedo
19%
Atletico
19%
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 (12m)
1.50
1.42
1.33
vs mid-block opponents (12m)
0.92
1.42
0.75
vs low-block opponents (14m)
1.43
1.64
1.29
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
79%
17%
44
10.2
9.1
vs mid-block opponents
83%
12%
48
11.6
11.2
vs low-block opponents
87%
9%
48
13.1
13.6
Vision AI Model Insight
Facing a high press, retention drops to 79% vs 87% against a low block (9pt lower under pressure), and directness (long-ball share) sits at 17% when pressed vs 9% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.
Scouting Summary — the team in brief
In brief. Elche are balanced-territory with a aggressive high-press.
Their attack creates 1.06 xG a game and they concede 1.48 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 38 matches this season
Expected goalsvs Celta Vigo · 2-1 · 2025-09-283.03avg 1.06
Progressive passesvs Real Sociedad · 1-1 · 2025-11-0770avg 47
Field tiltvs Atletico · 3-2 · 2026-04-2284%avg 53%
PPDAvs Barcelona · 1-3 · 2026-01-319.3avg 5.8
Threat from passingvs Osasuna · 0-0 · 2026-02-138.37avg 5.53
On-Ball Value — who moved the game
Every pass, carry, take-on, shot and ball win is worth the change it made to the chance of scoring minus the chance of conceding in the next 10 seconds. This is Elche’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).
+17.2on-ball value, 12 matches
Where the value came from
Passes6015 actions+7.72
Carries1287 actions-1.44
Dribbles257 actions+0.27
Shots123 actions+6.67
Ball wins705 actions+3.95
Most on-ball value (OBV)
Actions
OBV
per 100
Álvaro Rodríguez
300
+2.13
+0.71
Germán Valera
611
+1.67
+0.27
André Silva
273
+1.49
+0.54
Matías Dituro
792
+1.39
+0.18
Aleix Febas
739
+1.37
+0.19
David Affengruber
1064
+1.27
+0.12
Lucas Cepeda
97
+0.95
+0.98
Martim Neto
187
+0.94
+0.50
Biggest single moves
OBV
1 André Silva · shot
+0.801
2 Martim Neto · pass
+0.434
3 André Silva · shot
+0.384
4 André Silva · shot
+0.326
5 Tete Morente · shot
+0.310
6 Lucas Cepeda · shot
+0.309
Set Pieces by Player
Who delivers Elche’s dead balls and who finishes them this season. 145 corners taken, most by Germán Valera (33); 62 shots from corners and free kicks, 5 goals, led by André Silva (2 goals, 0.83 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
Álvaro Rodríguez
—
—
14
—
0.92
—
—
Germán Valera
33
10 (30%)
2
1
0.09
—
—
André Silva
—
—
10
2
0.83
4
3/3
Victor Chust
17
13 (76%)
4
—
0.16
1
—
Martim Neto
23
13 (57%)
1
—
0.03
—
—
Rafa Mir
—
—
6
1
0.22
3
1/2
David Affengruber
—
—
8
1
0.64
—
—
Josan
22
15 (68%)
—
—
0.00
—
—
Álvaro Núñez
14
8 (57%)
1
—
0.02
—
—
Lucas Cepeda
9
7 (78%)
1
—
0.02
1
—
Tete Morente
4
1 (25%)
2
—
0.11
—
—
Adam Boayar
—
—
3
—
0.16
—
—
Grady Diangana
5
3 (60%)
1
—
0.03
—
—
Rodrigo Mendoza
8
4 (50%)
—
—
0.00
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 300 minutes). Coloured chips are that player's strongest capability blocks.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Germán Valera
M
2974
1.30
68
33.5
Álvaro Rodríguez
F
2335
1.19
31
7.9
Aleix Febas
M
3336
0.70
32
37.7
Martim Neto
M
1402
1.54
28
14.2
Josan
M
646
2.93
30
9.8
André Silva
F
1955
0.87
24
8.4
Adrià Pedrosa
D
1213
1.56
20
12.3
Adam Boayar
D
2226
0.53
17
37.4
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)
Josan
W
646
7 (43%)
19 (42%)
Tete Morente
W
973
10 (10%)
14 (36%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
David Affengruber
D
3150
599
74
51
158
Aleix Febas
M
3336
367
77
27
174
Álvaro Rodríguez
F
2335
366
24
3
53
Adam Boayar
D
2226
352
36
29
76
Victor Chust
D
2323
349
63
20
91
Germán Valera
M
2974
317
55
23
130
Marc Aguado
M
2586
295
48
43
97
Léo Pétrot
D
1765
266
37
15
69
Full Squad Data
Every player with 100+ minutes (27 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Aleix Febas
M
36
3336
2
2.0
26
111
367
37.7
David Affengruber
D
36
3150
1
1.2
8
132
599
43.7
Germán Valera
M
36
2974
4
2.3
43
174
317
33.5
Marc Aguado
M
35
2586
1
0.3
10
79
295
21.6
Álvaro Rodríguez
F
34
2335
7
8.6
31
31
366
7.9
Victor Chust
D
31
2323
1
0.4
5
130
349
33.5
Adam Boayar
D
28
2226
1
0.8
13
134
352
37.4
Matías Dituro
G
22
2119
0
0.0
2
180
77
47.3
André Silva
F
31
1955
10
9.0
19
28
189
8.4
Rafa Mir
F
27
1879
8
6.9
8
17
150
6.5
Léo Pétrot
D
32
1765
0
0.6
2
83
266
17.4
Iñaki Peña
G
16
1525
0
0.0
3
90
71
24.9
Martim Neto
M
25
1402
2
0.7
24
53
128
14.2
Adrià Pedrosa
D
26
1213
1
0.7
21
66
173
12.3
Grady Diangana
M
20
978
1
1.4
10
19
97
5.0
Tete Morente
M
13
973
1
0.5
11
61
136
9.1
John Donald
D
21
770
1
0.6
1
22
108
5.4
Gonzalo Villar
M
12
762
1
0.2
2
25
84
7.2
Josan
M
19
646
0
0.3
21
58
59
9.8
Buba Sangaré
D
12
570
0
0.2
1
31
82
5.4
Héctor Fort
D
14
529
2
0.7
4
13
67
2.9
Lucas Cepeda
M
10
435
1
0.8
6
22
45
6.0
Yago Santiago
M
9
309
0
0.2
2
8
32
1.7
Federico Redondo
M
11
244
0
0.1
1
12
36
1.7
Adam El Mokhtari
F
7
145
1
0.4
2
5
19
0.8
Ali Houary
M
2
123
0
0.1
0
3
17
0.8
Bambo Diaby
D
4
120
0
0.0
0
1
18
1.0
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.
Aleix Febas
Ball-winner / destroyer · Midfielder
minutes3336
goals · xG2 · 2.0
prog passes /903.0
key passes /900.70
def actions /909.9
pass accuracy89%
David Affengruber
Stopper / marker · Defender
minutes3150
goals · xG1 · 1.2
prog passes /903.8
key passes /900.23
def actions /9017.1
pass accuracy87%
Germán Valera
Ball-winner / destroyer · Midfielder
minutes2974
goals · xG4 · 2.3
prog passes /905.3
key passes /901.30
def actions /909.6
pass accuracy83%
Marc Aguado
Ball-winner / destroyer · Midfielder
minutes2586
goals · xG1 · 0.3
prog passes /902.7
key passes /900.35
def actions /9010.3
pass accuracy91%
Álvaro Rodríguez
Ball-winner / destroyer · Midfielder
minutes2335
goals · xG7 · 8.6
prog passes /901.2
key passes /901.19
def actions /9014.1
pass accuracy64%
Victor Chust
Ball-playing defender · Defender
minutes2323
goals · xG1 · 0.4
prog passes /905.0
key passes /900.19
def actions /9013.5
pass accuracy88%
Adam Boayar
Ball-playing defender · Defender
minutes2226
goals · xG1 · 0.8
prog passes /905.4
key passes /900.53
def actions /9014.2
pass accuracy87%
Matías Dituro
Goalkeeper · Goalkeeper
minutes2119
goals · xG0 · 0.0
prog passes /907.6
key passes /900.08
def actions /903.3
pass accuracy77%
André Silva
Poacher / finisher · Forward
minutes1955
goals · xG10 · 9.0
prog passes /901.3
key passes /900.87
def actions /908.7
pass accuracy78%
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: xG conceded /game (10th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.48, 10th percentile vs the league).
Need — bottom-third: xG created /game (15th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (1.06, 15th percentile vs the league).
Need — bottom-third: shots /game (15th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (10.79, 15th percentile vs the league).
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