العربيةVision AI ← BACK TO SEARCH
Player reportLa Liga 2026

Francho Serrano

Getafe
Half-space creator CM
40% of actions in the half-spaces
Capability Analysis
Successful Dribble31%vs 36 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.325%
Take-on success50.0%57%
Progression12%vs 36 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /901.785%
Line-breaking passes /900.6514%
Threat added by passing /900.59xT8%
Pass accuracy78.45%22%
Ball-Carrying16%vs 36 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /901.450%
Carry distance /9028.08m0%
Successful take-ons /900.325%
Take-on success50.0%57%
Chance Creation15%vs 36 central mids
"Does he create real chances for others?"
Expected assists /900.06xA30%
Through balls /900.00%
Threat added by passing /900.59xT8%
Box entries (pass) /900.6522%
central midtempo controllerprogressionbox-to-box
557
minutes
8 apps
12
progressive passes
1.9/90
78%
pass completion
181 passes
1
key passes
0.16/90
4
box entries
0.65/90
15
final-3rd entries
2.4/90
4
dribbles
50% won
41
possessions lost
1.76 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 (54% of his 181 passes)
78% completion · 181× in 8/8 matches
↓
PROGRESS
drive or pass into the final third
1.9 prog/90 · 12× in 4/8 matches
↓
ARRIVE
get into the box late
1 key passes · 4× in 3/8 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.16 key passes /90 · 0 goals · 5× in 1/8 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
16

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 →
23
passes / match
1.3
dribbles / match
4–43
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (4 at the low end, 43 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.

08

How dangerous are his carries?

Real ball-carries

17 tracked carries (2.7/90, 4 progressive, 174m 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.

18%18%6%6%24%18%12%
progressivelateral/short% of his 17 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 34m
By zone — where the carry started → where it ended
1Outside → Inside
8Inside → Inside
8Outside → Outside
First (17)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.

04

How does he build & move 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 →RWRHSCLHSLWRW1963%1232%65%1RHS3631%1147%1717%63%13%1C339%315%539%1327%99%3LHS303%17%237%1153%16LW248%229%762%15FROM
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 half-space in the final third — 2 progressive passes (18% of his progression) at 0.122 xT each. He moves it inside.

His progression is inward: 64% of progressive passes move the ball toward the middle versus 27% going wider — he cuts in rather than holding width.

Only 6% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 4 line-breaking passes and 15 final-third entries, 1.4 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%4%8%13%2%1%4%10%12%4%4%7%13%8%5%
completedincomplete181 passes · any zone → any zone · own goal left, attacking →
181
passes
78%
completed
39
lost
Vision AIIn line with his 78% season completion rate.
03

How does he create chances?

1 key passes (0.16/90), 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
05

Where does he become vulnerable?

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

18
attacking third (cheap)
18
middle third
5
own third (dangerous)
Vision AI 44% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.76 danger-index/90 · 0.265 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?

181
passes attempted
46%
mostly sideways
63%
mostly short
Direction
Forward
63 · 35%
Sideways
83 · 46%
Backward
35 · 19%
Length (completed)
Short (<15m)
90 · 63%
Medium
43 · 30%
Long (>30m)
9 · 6%
06

Where Does He Receive?

The zones where Francho Serrano 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
16%
Primary
Left Half-Space, Middle third
15%
Secondary
Central, Middle third
11%
Third
Left Wing, Attacking third
These are the zones where he collected the ball most.
07

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Francho Serrano 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:
71224169181923812715244
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%4%8%13%2%1%4%10%12%4%4%7%13%8%5%
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.

1Key pass
5Cross
2Cutback
12Progressive
19Long ball
5Switch
By zone — where the pass started → where it landed
16Outside → Inside
65Inside → Inside
27Outside → Outside
34Inside → Outside
By direction
63Forward
35Backward
83Sideways
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 inside from the right wing toward the right hs in the final third — 1 passes worth 0.30 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the left wing toward the central in the final 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: 40% of his 15 touches there are lost (6 times).
—2 touches · too few11%1/9 lost38%3/8 lost—3 touches · too few—4 touches · too few38%5/13 lost12%2/17 lost11%3/27 lost17%5/29 lost18%2/11 lost40%6/15 lost0%0/13 lost—6 touches · too few—4 touches · too few40%8/20 lostRWRHSCLHSLWDEFMIDATT
11

Crosses & Cutbacks

5 crosses (0.81/90, 3 completed) and 2 cutbacks (0.32/90, 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.

13

How & where does he defend?

66 defensive actions across the season (10.7/90). 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 →
7
tackles · 14% won
4
interceptions · 0.6/90
19
recoveries · 3.1/90
10
clearances · 1.6/90
6
blocks
41
avg action height
8
won high (att 3rd)
34
middle third
24
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 30 proactive ball-wins (4.8/90), tackle success 14%. He defends high, stepping out to intercept — suits a high line.
12

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Francho Serrano keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 2.3, 2m)
0.37
1.6
0.00
100%
Mid press (PPDA 4.1, 2m)
0.54
0.0
1.29
0%
Low press (PPDA 4.4, 4m)
0.72
2.6
0.00
50%
Team

Team context

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

14

Impact on the Team

Getafe's output per match with Francho Serrano (8 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (8)
WITHOUT (2)
Δ
goals for /match
0.50
0.50
+0.00
xG for /match
0.71
0.00
+0.71
goals against /match
1.38
2.00
-0.62
points /match
1.00
0.50
+0.50
15

His Share of the Team

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

category
share
him / team
half-space entries
3%
15 / 573
expected assists (xA)
2%
0.3 / 18.2
final-third entries
2%
18 / 1128
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 central mids 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.

Tempo controller26%Deep-lying playmaker22%Transition runner21%Box-to-box runner16%
Why Tempo controller 26%: a weighted blend of retention 38 (weight 35%) + press resistance 43 (weight 20%) + build-up 25 (weight 30%) + progression 11 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness
Strong
—
Average
territory (wide vs central), press resistance, crossing
Weak
retention, dribbling, through-balls, transition, defensive aggression, build-up, creativity, ball-winning, receiving zones, final-third threat, line-breaking, box threat, progression, carrying
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
98
Territory (wide vs central)
67
Press resistance ~proxy
43
Crossing
41
Retention
38
Dribbling
35
Through-balls ~proxy
35
Transition ~proxy
33
Defensive aggression
33
Build-up
25
Creativity
23
Ball-winning
19
Receiving zones
17
Final-third threat
17
Line-breaking
14
Box threat
14
Progression
11
Carrying
6
18

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: 180 cm / 72 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.

Elvis Rexhbeçaj Augsburg · Bundesliga 25/26 · 182 cm / 78 kg
89%
Driven by: carrying (14%), ball-winning (14%), progression (12%). Different mechanism — Rexhbeçaj more via build-up.
Oliver Sørensen Parma Calcio 1913 · Serie A · 184 cm / 78 kg
89%
Driven by: carrying (11%), ball-winning (11%), progression (11%). Different mechanism — Serrano more via passing directness, dribbling; Sørensen more via box threat.
David Møller Wolfe Hamburg · Bundesliga · 185 cm / 79 kg
85%
Driven by: ball-winning (15%), box threat (12%), passing directness (10%). Different mechanism — Serrano more via defensive aggression, retention; Wolfe more via progression, line-breaking.
Malthe Højholt Pisa · Serie A 25/26 · 182 cm / 65 kg
80%
Driven by: carrying (15%), progression (12%), creativity (11%). Different mechanism — Serrano more via territory (wide vs central), passing directness; Højholt more via build-up, ball-winning.
Mikael Ellertsson Genoa · Serie A · 182 cm / 74 kg
80%
Driven by: carrying (12%), ball-winning (10%), final-third threat (10%). Different mechanism — Serrano more via passing directness, retention; Ellertsson more via line-breaking, box threat.
Giuseppe Pezzella Cremonese · Serie A 25/26 · 185 cm / 81 kg
77%
Driven by: box threat (16%), receiving zones (14%), ball-winning (9%). Different mechanism — Serrano more via passing directness; Pezzella more via territory (wide vs central), progression.
19

Summary

Francho Serrano is a tempo controller: 1.9 progressive passes, 0.16 key passes /90, 4 box entries, 0 goals from 0.09 xG. A box-to-box contributor across every phase.

Based on 8 matches (557 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