العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportLa Liga 2026

Víctor Chust

Elche
Ball-playing centre-back CB
6.3 progressive passes/90 · 0.8 line-breaking/90
Capability Analysis
Aerial & Box Defending8%vs 52 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /903.4917%
Ball-Winning46%vs 52 centre-backs
"How actively does he win the ball back?"
Interceptions /900.7715%
Ball recoveries /903.5353%
Tackles /902.4491%
Duels won /901.1223%
Breaking Pressure
only 112 pressured-passing actions across 3 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression75%vs 52 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /905.0481%
Line-breaking passes /901.5183%
Threat added by passing /901.3xT83%
Pass accuracy88.48%53%
Ball-Carrying76%vs 52 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /906.4368%
Carry distance /90163.04m85%
centre-backball-playing centre-backbuild-upline-breaking
949
minutes
10 apps
701
passes
89% completed
89%
pass completion
701 passes
66
progressive passes
6.3/90
98
line-breaking passes
9.3/90
144
defensive actions
13.7/90
28
tackles + interceptions
69% tackle win
39
clearances
3.7/90
Overview

The player

Who he is and how he compares with his peers.

01

What Patterns Define Him?

His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.

RECEIVE
in the first line of build-up — mostly in the middle third (50% of his 701 passes)
89% completion · 701× in 10/10 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
6.3 prog/90 · 98× in 10/10 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 55× in 10/10 matches
↓
PROGRESS
entries into the final third
4.1/90 · 43× in 9/10 matches
Signature: Receive → Break A Line → Switch Play → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 4× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
18

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
70
passes / match
13.7
def actions / 90
26–111
pass range (matches)
39
clearances
Pass range = his fewest and most passes in any single match this season (26 at the low end, 111 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

09

How dangerous are his carries?

Real ball-carries

229 tracked carries (21.7/90, 46 progressive, 2130m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

0%1%2%3%2%12%14%7%1%8%22%17%10%1%
progressivelateral/short% of his 229 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 35m
By zone — where the carry started → where it ended
21Outside → Inside
146Inside → Inside
35Outside → Outside
27Inside → Outside
First (76)Second (62)Third (58)Fourth (33)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

16
tackle duels
11
won
5
beaten · 31%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 62%
OUTSIDE 38%
Tackle-duel location — 10 inside · 6 outside
Right Wing
2 · 12%
Right Half-Space
2 · 12%
Central
3 · 19%
Left Half-Space
5 · 31%
Left Wing
4 · 25%
Vision AI beaten in 5 of 16 tackle duels (31% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 2 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

02

How does he build & move the ball?

How does he escape the first line?

12%
vertical passes
56×
9%
switches
43×
38%
carries
179×
42%
short circulation
198×
Answer: he escapes the press primarily through carrying — stepping out with the ball.

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW1958%1132%611%2RHS3633%1228%1031%116%23%1C14313%1822%3238%5519%278%11LHS2845%148%2333%9418%5036%103LW1412%31%223%3324%3449%69FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the middle third → the left wing in the final third — 5 progressive passes (11% of his progression) at 0.114 xT each. He keeps it in the same lane.

His progression is inward: 35% of progressive passes move the ball toward the middle versus 20% going wider — he cuts in rather than holding width.

12% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 8 line-breaking passes and 43 final-third entries, 7.8 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
0%1%4%2%1%1%3%12%10%5%1%6%22%19%10%4%1%
completedincomplete701 passes · any zone → any zone · own goal left, attacking →
701
passes
89%
completed
78
lost
Vision AIIn line with his 89% season completion rate.
03

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

66
progressive · 6.3/90
43
final-third entries · 4.1/90
2
box entries · 0.19/90
23
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
13

How does he create chances?

3 key passes (0.28/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.

Chance creation — key pass origin zone share
Filter:
50%50%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

79 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

14
attacking third (cheap)
34
middle third
31
own third (dangerous)
Vision AI 18% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.67 danger-index/90 · 0.490 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

701
passes attempted
47%
mostly forward
46%
mostly short
Direction
Forward
331 · 47%
Sideways
219 · 31%
Backward
151 · 22%
Length (completed)
Short (<15m)
285 · 46%
Medium
269 · 43%
Long (>30m)
69 · 11%
10

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.730.410.310.290.260.24
own goal left, attacking →
Highest-value routes (xT)
0.73
Left Wing Mid third → Left Wing Att third
5 passes
0.41
Central Mid third → Right Wing Att third
3 passes
0.31
Left Half-Space Mid third → Right Wing Att third
3 passes
0.29
Left Wing Def third → Left Half-Space Mid third
4 passes
0.26
Central Mid third → Right Half-Space Mid third
3 passes
0.24
Left Wing Def third → Left Wing Mid third
4 passes
07

Where Does He Receive?

The zones where Víctor Chust gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
21%
Primary
Left Half-Space, Middle third
20%
Secondary
Left Half-Space, Defensive third
12%
Third
Left Wing, Middle third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Víctor Chust actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
3915413372267188569375449251245
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

0%1%4%2%1%1%3%12%10%5%1%6%22%19%10%4%1%
own goal left, attacking →
11

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

3Key pass
4Cross
2Cutback
66Progressive
98Long ball
55Switch
By zone — where the pass started → where it landed
77Outside → Inside
304Inside → Inside
83Outside → Outside
159Inside → Outside
By direction
331Forward
151Backward
219Sideways
own goal left, attacking →
04

Tactical patterns — how his football actually looks

Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.

own goal left, attacking →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the left wing, advancing it forward in the middle third — 5 passes worth 0.73 xT.
Where do his chances come from?
Of 3 key passes, his busiest route is a delivery where he plays straight through the left hs, advancing it forward in the middle third — 1 times. The receiver isn't identifiable in this data, only where the pass started and ended.
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the right wing in the final third: 50% of his 8 touches there are lost (4 times).
—3 touches · too few8%1/12 lost8%6/78 lost5%7/140 lost23%17/73 lost20%3/15 lost14%4/28 lost7%5/73 lost10%15/150 lost9%7/82 lost50%4/8 lost—1 touch · too few—5 touches · too few16%3/19 lost29%4/14 lostRWRHSCLHSLWDEFMIDATT
12

Crosses & Cutbacks

4 crosses (0.38/90, 0 completed) and 2 cutbacks (0.19/90, 0 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

14

How & where does he defend?

144 defensive actions across the season (13.7/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.

click a card to isolate that action type · own goal left, attacking →
16
tackles · 69% won
12
interceptions · 1.1/90
40
recoveries · 3.8/90
39
clearances · 3.7/90
3
blocks
29
avg action height
10
won high (att 3rd)
37
middle third
97
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 68 proactive ball-wins (6.4/90), tackle success 69%. He defends deep, protecting his box — a last-line stopper.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Víctor Chust still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~3-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.4, 3m)
78%
3.2
7.6
0.58
Mid press (PPDA 5.3, 3m)
89%
7.5
10.7
1.41
Low press (PPDA 7.0, 4m)
92%
7.6
9.5
1.53
Team

Team context

How much of the team runs through him, and what changes without him.

16

Impact on the Team

Insufficient sample: Víctor Chust played nearly every Elche match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

17

His Share of the Team

Of everything Elche produced this season, the categories where the biggest share ran through Víctor Chust specifically — his share of the team total, not a per-90 rate.

category
share
him / team
tackles
10%
63 / 613
clearances
10%
90 / 883
final-third entries
10%
161 / 1604
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 513 centre-backs in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.

Ball-playing centre-back70%Stopper centre-back58%
Why Ball-playing centre-back 70%: a weighted blend of progression 84 (weight 25%) + retention 60 (weight 30%) + build-up 55 (weight 30%) + press resistance 62 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, line-breaking, final-third threat, receiving zones
Strong
progression, carrying, crossing
Average
dribbling, ball-winning, press resistance, creativity, retention, build-up, transition, territory (wide vs central), defensive aggression
Weak
box threat, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
93
Line-breaking
90
Final-third threat
89
Receiving zones
89
Progression
84
Carrying
78
Crossing
71
Dribbling
68
Ball-winning
65
Press resistance ~proxy
62
Creativity
60
Retention
60
Build-up
55
Transition ~proxy
53
Territory (wide vs central)
51
Defensive aggression
44
Box threat
36
Passing directness
13
20

Similar Players — in style space

Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 182 cm / 77 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style. Scope: pooled across the La Liga, Bundesliga, Ligue 1, Premier League and Serie A, percentiled within each player's own league before comparing — a match from another league is marked with its league name.

Style, not quality: a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.

Facundo Medina Leverkusen · Bundesliga · 184 cm / 78 kg
90%
Driven by: progression (15%), final-third threat (14%), receiving zones (13%). Different mechanism — Medina more via passing directness, transition.
Noussair Mazraoui Man Utd · Premier League · 183 cm / 79 kg
86%
Driven by: receiving zones (16%), progression (13%), final-third threat (12%). Different mechanism — Mazraoui more via territory (wide vs central).
Olivier Boscagli Brighton · Premier League · 181 cm / 68 kg
85%
Driven by: final-third threat (16%), progression (14%), through-balls (13%). Different mechanism — Boscagli more via defensive aggression, passing directness.
Michel Mboula Metz · Ligue 1 25/26 · 185 cm
84%
Driven by: progression (15%), receiving zones (15%), carrying (13%). Different mechanism — Chust more via defensive aggression, through-balls; Mboula more via passing directness, transition.
Daley Blind Girona 25/26 · 180 cm / 72 kg
83%
Driven by: final-third threat (13%), progression (13%), receiving zones (12%). Different mechanism — Blind more via passing directness, transition.
Sead Kolasinac Atalanta · Serie A · 183 cm / 85 kg
82%
Driven by: receiving zones (18%), final-third threat (12%), passing directness (12%). Different mechanism — Chust more via progression, through-balls; Kolasinac more via territory (wide vs central).
21

Summary

Víctor Chust is a ball-playing centre-back / stopper centre-back: 89% pass completion, 98 line-breaking passes and 6.3 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 10 matches (949 minutes) — a reasonable read, still building toward a full-season sample. He profiles as a ball-playing centre-back / stopper centre-back — best used in a system built around that identity. His biggest room for growth is build-up — even a modest improvement there would meaningfully lift his overall ball-playing centre-back profile.
✨ This report is interactive

Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.

Vision AI · building report