العربيةVision AI ← BACK TO SEARCH
Player reportLa Liga 2026
DEP

Riki Rodríguez

Deportivo
Half-space creator CM
45% of actions in the half-spaces
central midtempo controllerprogressionbox-to-box
377
minutes
7 apps
7
progressive passes
1.7/90
86%
pass completion
139 passes
3
key passes
0.72/90
1
box entries
0.24/90
7
final-3rd entries
1.7/90
4
dribbles
25% won
22
possessions lost
1.53 danger/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
Left Half-Space, Middle third — mostly in the middle third (67% of his 139 passes)
86% completion · 139× in 7/7 matches
↓
PROGRESS
drive or pass into the final third
1.7 prog/90 · 7× in 5/7 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.72 key passes /90 · 0 goals · 6× in 2/7 matches
Signature: Receive → Progress → Create / Finish — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: arrive — 1× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
15

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 →
20
passes / match
2.0
dribbles / match
1–39
pass range (matches)
2–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (1 at the low end, 39 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession

In possession

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

07

How dangerous are his carries?

Real ball-carries

31 tracked carries (7.4/90, 5 progressive, 273m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.

10%6%3%3%10%10%10%6%3%29%10%
progressivelateral/short% of his 31 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 17m
By zone — where the carry started → where it ended
2Outside → Inside
18Inside → Inside
7Outside → Outside
4Inside → Outside
First (20)Second (11)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 4 dribbles attempted this season — too little volume to map a location pattern.

03

How does he create chances?

3 key passes (0.72/90), 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:
33%33%33%
chance creation (3)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

22 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

8
attacking third (cheap)
12
middle third
2
own third (dangerous)
Vision AI 36% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.53 danger-index/90 · 0.292 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

Where Does He Receive?

The zones where Riki Rodríguez 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
23%
Primary
Left Half-Space, Middle third
16%
Secondary
Central, Middle third
15%
Third
Left Wing, Middle third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Riki Rodríguez 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:
31930154151418852778
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.

1%5%4%6%1%4%10%12%6%1%1%14%22%10%3%
own goal left, attacking →
10

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
7Progressive
8Long ball
6Switch
By zone — where the pass started → where it landed
18Outside → Inside
61Inside → Inside
17Outside → Outside
24Inside → Outside
By direction
43Forward
46Backward
50Sideways
own goal left, attacking →
02

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 switches it out from the left hs to the left wing, advancing it forward in the middle third — 1 passes worth 0.15 xT.
Where do his chances come from?
Of 3 key passes, his busiest route is a delivery where he plays inside from the left wing toward the left hs 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 left wing in the final third: 25% of his 8 touches there are lost (2 times).
—0 touches · too few—2 touches · too few—4 touches · too few—2 touches · too few—2 touches · too few—4 touches · too few17%2/12 lost9%2/22 lost9%3/33 lost18%4/22 lost—5 touches · too few—4 touches · too few—5 touches · too few0%0/14 lost25%2/8 lostRWRHSCLHSLWDEFMIDATT
04

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 31 ball-carries, his dominant tendency is that he carries through central areas (58%). He carries from outside into the middle 2 times and out toward the touchline 4 — a width-holder who drives down the line.
08

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
0 · 0%
Progressive / key pass
2 · 6%
Simple pass
24 · 77%
No clean link
5 · 16%
Of 31 carries, 0% flow straight into a shot of his own, 6% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 16% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

12

How & where does he defend?

40 defensive actions across the season (9.5/90). 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 →
3
tackles · 67% won
4
interceptions · 1.0/90
11
recoveries · 2.6/90
4
clearances · 1.0/90
5
blocks
43
avg action height
1
won high (att 3rd)
29
middle third
10
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 18 proactive ball-wins (4.3/90), tackle success 67%. He defends high, stepping out to intercept — suits a high line.
11

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Riki Rodríguez keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.1, 2m)
0.35
1.3
0.00
0%
Mid press (PPDA 4.8, 2m)
0.58
0.9
1.73
0%
Low press (PPDA 5.4, 3m)
0.51
2.6
0.65
50%
Team

Team context

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

13

Impact on the Team

Deportivo's output per match with Riki Rodríguez (7 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (7)
WITHOUT (3)
Δ
goals for /match
1.43
1.00
+0.43
xG for /match
1.32
0.75
+0.57
goals against /match
1.43
1.00
+0.43
points /match
1.14
1.00
+0.14
14

His Share of the Team

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

category
share
him / team
zone-14 entries
3%
3 / 98
interceptions
3%
4 / 133
half-space entries
2%
9 / 409
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

16

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 433 central mids in the pool (min 180 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.

Tempo controller34%Deep-lying playmaker26%Transition runner16%Advanced playmaker (8)16%
Why Tempo controller 34%: a weighted blend of retention 57 (weight 35%) + build-up 39 (weight 30%) + press resistance 31 (weight 20%) + progression 9 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
retention, crossing, territory (wide vs central)
Weak
build-up, receiving zones, box threat, press resistance, ball-winning, creativity, defensive aggression, passing directness, carrying, transition, dribbling, final-third threat, progression, through-balls, line-breaking
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
57
Crossing
42
Territory (wide vs central)
40
Build-up
39
Receiving zones
39
Box threat
37
Press resistance ~proxy
31
Ball-winning
25
Creativity
25
Defensive aggression
25
Passing directness
23
Carrying
19
Transition ~proxy
16
Dribbling
10
Final-third threat
10
Progression
9
Through-balls ~proxy
7
Line-breaking
3
17

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: 175 cm / 70 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.

Christian Ordóñez Parma Calcio 1913 · Serie A · 177 cm / 65 kg
89%
Driven by: transition (14%), progression (14%), final-third threat (12%). Different mechanism — Ordóñez more via defensive aggression, ball-winning.
Michele Collocolo Cremonese · Serie A 25/26 · 188 cm
88%
Driven by: progression (10%), final-third threat (10%), line-breaking (10%). Different mechanism — Rodríguez more via crossing, receiving zones.
Aster Vranckx Sassuolo · Serie A 25/26 · 183 cm / 78 kg
88%
Driven by: transition (13%), progression (13%), final-third threat (12%). Different mechanism — Rodríguez more via box threat; Vranckx more via defensive aggression, build-up.
Oliver Sørensen Parma Calcio 1913 · Serie A · 184 cm / 78 kg
85%
Driven by: final-third threat (11%), progression (11%), dribbling (10%). Different mechanism — Rodríguez more via receiving zones; Sørensen more via passing directness, through-balls.
Malthe Højholt Pisa · Serie A 25/26 · 182 cm / 65 kg
84%
Driven by: progression (12%), line-breaking (11%), final-third threat (10%). Different mechanism — Rodríguez more via receiving zones, box threat; Højholt more via passing directness, build-up.
Alexis Vossah Toulouse · Ligue 1 · 181 cm / 69 kg
82%
Driven by: transition (14%), progression (13%), final-third threat (13%). Different mechanism — Rodríguez more via crossing, box threat; Vossah more via dribbling, press resistance.
18

Summary

Riki Rodríguez is a tempo controller: 1.7 progressive passes, 0.72 key passes /90, 1 box entries, 0 goals from 0.30 xG. A box-to-box contributor across every phase.

Based on 7 matches (377 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall tempo controller 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