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

Kiko Femenía

Getafe
Overlapping full-back FB
pushes high (x=55) · 0.0 crosses/90
full-backoverlapping full-backprogressioncrossing
373
minutes
6 apps
84%
pass completion
166 passes
10
progressive passes
2.4/90
8
final-3rd entries
1.9/90
1
box entries
0.24/90
43
defensive actions
10.4/90
7
tackles + interceptions
100% tackle win
3
dribbles
33% won
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Kiko Femenía has played 6 matches (373 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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
Right Wing, Attacking third — wide or inverted — mostly in the middle third (43% of his 166 passes)
84% completion · 166× in 6/6 matches
↓
PROGRESS
carry or combine up the flank
2.4 prog/90 · 10× in 4/6 matches
↓
DRIBBLE
beat his man up the line
33% won · 3× in 3/6 matches
↓
DEFEND
1v1 and cover on his side
43 def actions · lost 13% deep · 43× in 6/6 matches
Signature: Receive → Progress → Dribble → Defend — 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: deliver — 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 →
28
passes / match
10.4
def actions / 90
3–72
pass range (matches)
3
clearances
Pass range = his fewest and most passes in any single match this season (3 at the low end, 72 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.

06

How dangerous are his carries?

Real ball-carries

34 tracked carries (8.2/90, 7 progressive, 318m 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.

3%9%21%35%24%6%3%
progressivelateral/short% of his 34 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 31m
By zone — where the carry started → where it ended
6Outside → Inside
3Inside → Inside
23Outside → Outside
2Inside → Outside
First (21)Second (13)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).

3
tackle duels
3
won
0
beaten · 0%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 33%
OUTSIDE 67%
Tackle-duel location — 1 inside · 2 outside
Right Wing
2 · 67%
Right Half-Space
1 · 33%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 0 of 3 tackle duels (0% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 3 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.

07

How does he build & move the ball?

How does he escape the first line?

5%
vertical passes
3×
5%
switches
3×
19%
carries
11×
70%
short circulation
40×
Answer: he escapes the press primarily through carrying — stepping out with the ball; he almost never carries (11×), so pressing his passing lanes beats pressing him.

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 →RWRHSCLHSLWRW10152%5336%3612%12RHS3132%1026%835%113%13%1C520%120%160%3LHS1100%1LW1100%1FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the final third → the right wing in the final third — 6 progressive passes (21% of his progression) at 0.043 xT each. He keeps it in the same lane.

His progression is inward: 61% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 7% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 7 line-breaking passes and 8 final-third entries, 3.2 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
6%14%16%23%25%11%1%1%2%1%
completedincomplete166 passes · any zone → any zone · own goal left, attacking →
166
passes
84%
completed
27
lost
Vision AIIn line with his 84% season completion rate.
03

How does he create chances?

2 key passes (0.48/90), 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
08

Where does he become vulnerable?

29 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.

19
attacking third (cheap)
6
middle third
4
own third (dangerous)
Vision AI 66% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.54 danger-index/90 · 0.220 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
09

What is his passing profile?

166
passes attempted
36%
mostly forward
55%
mostly short
Direction
Forward
60 · 36%
Sideways
60 · 36%
Backward
46 · 28%
Length (completed)
Short (<15m)
77 · 55%
Medium
53 · 38%
Long (>30m)
9 · 6%
04

Where Does He Receive?

The zones where Kiko Femenía 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
33%
Primary
Right Wing, Attacking third
30%
Secondary
Right Wing, Middle third
13%
Third
Right Wing, Defensive third
These are the zones where he collected the ball most.
05

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Kiko Femenía 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:
1123102427394220
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.

6%14%16%23%25%11%1%1%2%1%
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.

2Key pass
2Cross
3Cutback
10Progressive
23Long ball
7Switch
By zone — where the pass started → where it landed
49Outside → Inside
25Inside → Inside
53Outside → Outside
12Inside → Outside
By direction
60Forward
46Backward
60Sideways
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 plays straight through the right wing in the final third — 3 passes worth 0.48 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 2 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: 30% of his 54 touches there are lost (16 times).
14%3/21 lost8%1/12 lost—1 touch · too few—0 touches · too few—0 touches · too few10%5/50 lost6%1/16 lost—4 touches · too few—1 touch · too few—0 touches · too few30%16/54 lost—6 touches · too few—0 touches · too few—0 touches · too few—1 touch · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

12

How & where does he defend?

43 defensive actions across the season (10.4/90). 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 · 100% won
4
interceptions · 1.0/90
15
recoveries · 3.6/90
3
clearances · 0.7/90
1
blocks
35
avg action height
3
won high (att 3rd)
17
middle third
23
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 22 proactive ball-wins (5.3/90), tackle success 100%. He defends mostly around the middle third.
11

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Kiko Femenía 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 ~2-2 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 2.8, 2m)
82%
2.5
4.5
0.66
Mid press (PPDA 3.9, 2m)
62%
0.0
3.5
0.77
Low press (PPDA 4.4, 2m)
90%
3.2
7.8
1.84
Team

Team context

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

13

Impact on the Team

Getafe's output per match with Kiko Femenía (6 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 matches; treat every Δ below as noise until more games exist. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (6)
WITHOUT (4)
Δ
goals against /match
2.17
0.50
+1.67
points /match
0.33
1.75
-1.42
goals for /match
0.33
0.75
-0.42
xG for /match
0.60
0.00
+0.60
14

His Share of the Team

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

category
share
him / team
interceptions
12%
38 / 328
progressive passes
10%
161 / 1643
box entries
9%
23 / 259
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 233 full-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.

Overlapping full-back36%Inverted full-back21%
Why Overlapping full-back 36%: a weighted blend of crossing 50 (weight 30%) + transition 50 (weight 25%) + final-third threat 32 (weight 25%) + dribbling 21 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
passing directness, territory (wide vs central)
Average
ball-winning, transition, defensive aggression, crossing
Weak
progression, final-third threat, retention, creativity, press resistance, through-balls, box threat, carrying, build-up, line-breaking, dribbling, receiving zones
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
77
Territory (wide vs central)
75
Ball-winning
58
Transition ~proxy
50
Defensive aggression
50
Crossing
50
Progression
36
Final-third threat
32
Retention
31
Creativity
29
Press resistance ~proxy
26
Through-balls ~proxy
26
Box threat
24
Carrying
23
Build-up
23
Line-breaking
22
Dribbling
21
Receiving zones
19
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: 176 cm / 61 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.

Joël Veltman Brighton · Premier League 25/26 · 184 cm / 75 kg
75%
Driven by: creativity (14%), press resistance (14%), dribbling (13%). Different mechanism — Femenía more via territory (wide vs central); Veltman more via box threat, build-up.
Iñigo Arguibide Osasuna · 178 cm / 70 kg
73%
Driven by: build-up (12%), receiving zones (11%), creativity (9%). Different mechanism — Femenía more via ball-winning, crossing; Arguibide more via dribbling, territory (wide vs central).
Lewie Coyle Hull City · Premier League · 173 cm / 67 kg
72%
Driven by: build-up (13%), line-breaking (10%), carrying (10%). Different mechanism — Femenía more via crossing, ball-winning.
Adam Smith Bournemouth · Premier League · 180 cm / 78 kg
71%
Driven by: press resistance (16%), dribbling (13%), carrying (12%). Different mechanism — Femenía more via ball-winning, territory (wide vs central).
Fabien Centonze Nantes · Ligue 1 25/26 · 182 cm / 75 kg
71%
Driven by: build-up (19%), press resistance (12%), retention (9%). Different mechanism — Femenía more via retention; Centonze more via box threat, defensive aggression.
Ryan Giles Hull City · Premier League · 179 cm / 72 kg
69%
Driven by: build-up (22%), press resistance (15%), retention (10%). Different mechanism — Femenía more via ball-winning, retention; Giles more via carrying, territory (wide vs central).
18

Summary

Kiko Femenía is an overlapping full-back: 2.4 progressive passes and 1 box entries, delivering 2 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 6 matches (373 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an overlapping full-back — best used in a system built around that identity. His biggest room for growth is dribbling — even a modest improvement there would meaningfully lift his overall overlapping full-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