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Player reportLa Liga 2026

Ferran Jutglà

Celta Vigo
Pressing forward ST
4.3 high defensive actions/90
Capability Analysis
Finishing65%vs 23 strikers
"Does he finish better than the quality of chance he gets?"
Goals above expected5.29goals83%
Placement quality vs xG1.03index74%
Shots on target34.039%
Box Threat13%vs 23 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.22xG9%
Shots /902.1313%
xGOT /900.26xGOT17%
Ball-Carrying64%vs 23 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /902.6478%
Carry distance /9070.07m78%
Successful take-ons /901.0565%
Take-on success32.93%35%
Aerial Threat0%vs 23 strikers
"Is he a genuine aerial outlet -- can he win headers, not just occupy space?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
strikerfalse 9box threatfinishing
605
minutes
10 apps
2
goals
0.89 xG
0.9
xG
10 shots
10
shots
0.09 xG/shot
1
box entries
0.15/90
3
key passes
0.45/90
17
dribbles
35% won
71%
pass completion
119 passes
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.

LINK
lay-off and combine
3 key passes · 71% completion · 119× in 10/10 matches
↓
FINISH
shoot from central zones
0.89 xG · 10× in 5/10 matches
Signature: Link → Finish — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 1× (insufficient confidence, hidden — not enough evidence yet); convert — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — 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 →
12
passes / match
1.9
dribbles / match
3–22
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (3 at the low end, 22 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.

09

How dangerous are his carries?

Real ball-carries

35 tracked carries (5.2/90, 12 progressive, 462m 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.

3%11%17%3%14%11%3%14%6%14%3%
progressivelateral/short% of his 35 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 12m, longest 28m
By zone — where the carry started → where it ended
2Outside → Inside
15Inside → Inside
10Outside → Outside
8Inside → Outside
First (18)Second (17)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he drop to link or stay central? Touches by channel. Season rate: 2.53 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 59%
OUTSIDE 41%
Dribble location — 10 inside · 7 outside
Right Wing
5 · 29%
Right Half-Space
3 · 18%
Central
3 · 18%
Left Half-Space
4 · 24%
Left Wing
2 · 12%
Vision AI His touches are central and high — a penalty-box striker.
03

How does he create chances?

3 key passes (0.45/90), 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
Box deliveries — key passes reaching the final third, by flank
from the left (0)from the right (3)of 3 key passes landing in the final thirdattacking ↑ toward goal
06

Where does he become vulnerable?

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

22
attacking third (cheap)
22
middle third
2
own third (dangerous)
Vision AI 48% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.66 danger-index/90 · 0.243 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
07

Where Does He Receive?

The zones where Ferran Jutglà 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
18%
Primary
Central, Middle third
12%
Secondary
Left Half-Space, Attacking third
10%
Third
Right Half-Space, 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 Ferran Jutglà 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:
3122128314121684720178
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.

2%5%15%13%3%3%11%10%10%2%3%10%2%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.

3Key pass
1Cross
2Cutback
4Progressive
8Long ball
4Switch
By zone — where the pass started → where it landed
14Outside → Inside
40Inside → Inside
16Outside → Outside
14Inside → Outside
By direction
27Forward
45Backward
47Sideways
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 →
Where do his chances come from?
Of 3 key passes, his busiest route is a delivery where he plays inside from the right hs 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 central in the final third: 44% of his 9 touches there are lost (4 times).
—2 touches · too few—1 touch · too few—2 touches · too few—2 touches · too few—1 touch · too few36%4/11 lost31%4/13 lost33%8/24 lost—6 touches · too few25%2/8 lost22%2/9 lost42%5/12 lost44%4/9 lost17%2/12 lost—7 touches · too fewRWRHSCLHSLWDEFMIDATT
05

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 35 ball-carries, his dominant tendency is that he carries through central areas (43%). He carries from outside into the middle 2 times and out toward the touchline 8 — a width-holder who drives down the line.
04

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
2 · 6%
Progressive / key pass
3 · 9%
Simple pass
18 · 51%
No clean link
12 · 34%
Of 35 carries, 6% flow straight into a shot of his own, 9% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 34% 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?

74 defensive actions across the season (11.0/90). 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 →
4
tackles · 25% won
1
interceptions · 0.1/90
16
recoveries · 2.4/90
4
clearances · 0.6/90
1
blocks
57
avg action height
27
won high (att 3rd)
34
middle third
13
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 21 proactive ball-wins (3.1/90), tackle success 25%. He defends high, stepping out to intercept — suits a high line.

Defensive work in the attacking half

Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.

47
attacking-half actions · 6.99/90
11

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Ferran Jutglà keep producing when the game is tight and the press is high? Tiers of ~3-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.5, 3m)
0.19
0.8
0.39
38%
Mid press (PPDA 6.1, 3m)
0.21
1.3
0.63
50%
Low press (PPDA 7.5, 4m)
0.06
0.0
0.39
20%
Team

Team context

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

13

Impact on the Team

Insufficient sample: Ferran Jutglà played nearly every Celta Vigo 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.

14

His Share of the Team

Of everything Celta Vigo produced this season, the categories where the biggest share ran through Ferran Jutglà specifically — his share of the team total, not a per-90 rate.

category
share
him / team
goals
20%
2 / 10
shots
12%
55 / 447
expected goals (xG)
11%
5.7 / 50.5
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 299 strikers 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.

False 957%Target man39%Poacher36%Pressing forward36%
Why False 9 57%: a weighted blend of creativity 62 (weight 30%) + build-up 65 (weight 25%) + progression 71 (weight 20%) + box threat 27 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
carrying, territory (wide vs central), progression
Average
build-up, receiving zones, creativity, dribbling, line-breaking, final-third threat, ball-winning, retention, transition, press resistance, crossing
Weak
through-balls, box threat, defensive aggression, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
83
Territory (wide vs central)
82
Progression
71
Build-up
65
Receiving zones
64
Creativity
62
Dribbling
62
Line-breaking
61
Final-third threat
60
Ball-winning
60
Retention
58
Transition ~proxy
57
Press resistance ~proxy
55
Crossing
53
Through-balls ~proxy
31
Box threat
27
Defensive aggression
25
Passing directness
7
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 / 75 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.

Justin Njinmah Werder Bremen · Bundesliga · 184 cm / 75 kg
85%
Driven by: defensive aggression (20%), passing directness (17%), carrying (16%). Different mechanism — Njinmah more via through-balls, line-breaking.
Arnaud Kalimuendo Nottingham Forest · Premier League · 178 cm / 79 kg
78%
Driven by: passing directness (18%), carrying (14%), territory (wide vs central) (12%). Different mechanism — Kalimuendo more via retention, line-breaking.
Pedro Lazio · Serie A 25/26 · 169 cm / 65 kg
67%
Driven by: defensive aggression (14%), carrying (12%), territory (wide vs central) (11%). Different mechanism — Pedro more via through-balls, line-breaking.
Cameron Archer Auxerre · Ligue 1 · 181 cm / 72 kg
67%
Driven by: passing directness (24%), defensive aggression (17%), through-balls (11%). Different mechanism — Jutglà more via final-third threat, carrying; Archer more via line-breaking.
Tijjani Noslin Lazio · Serie A · 180 cm / 75 kg
64%
Driven by: defensive aggression (14%), carrying (14%), territory (wide vs central) (12%). Different mechanism — Noslin more via through-balls, box threat.
Jack Harrison Leeds · Serie A 25/26 · 175 cm / 70 kg
62%
Driven by: defensive aggression (14%), carrying (13%), territory (wide vs central) (13%). Different mechanism — Harrison more via through-balls, passing directness.
18

Summary

Ferran Jutglà is a false 9: 2 goals from 0.89 xG (+1.11 vs expected), 10 shots, 1 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 10 matches (605 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a false 9 — best used in a system built around that identity. His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall false 9 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.

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