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Player reportLa Liga 2026

Roberto Fernández

Espanyol
Penalty-box poacher ST
2.2 shots/90 · 0.19 xG per shot — shoots from high-value spots · 0.41 xG/90
Capability Analysis
Finishing35%vs 23 strikers
"Does he finish better than the quality of chance he gets?"
Goals above expected0.38goals22%
Placement quality vs xG-0.52index30%
Shots on target48.052%
Box Threat25%vs 23 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.33xG26%
Shots /902.139%
xGOT /900.32xGOT39%
Goals vs xG (overperforming xG -- clinical, scoring more than the chances alone predict): 6 goals from 4.1 xG (+1.9)
Ball-Carrying18%vs 23 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /901.0522%
Carry distance /9028.63m22%
Successful take-ons /900.2917%
Take-on success30.56%13%
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%
strikerpressing forwardbox threatfinishing
900
minutes
10 apps
6
goals
4.13 xG
4.1
xG
22 shots
22
shots
0.19 xG/shot
1
box entries
0.10/90
4
key passes
0.40/90
8
dribbles
25% won
65%
pass completion
117 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
4 key passes · 65% completion · 117× in 10/10 matches
↓
FINISH
shoot from central zones
4.13 xG · 22× in 9/10 matches
↓
CONVERT
goals vs expected
6 goals (+1.9 vs xG) · 6× in 9/10 matches
Signature: Link → Finish → Convert — 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: receive / move — 1× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
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 →
12
passes / match
1.3
dribbles / match
4–20
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, 20 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.

10

How dangerous are his carries?

Real ball-carries

26 tracked carries (2.6/90, 7 progressive, 227m 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.

15%19%4%8%8%8%15%8%15%
progressivelateral/short% of his 26 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 21m
By zone — where the carry started → where it ended
5Outside → Inside
11Inside → Inside
8Outside → Outside
2Inside → Outside
First (15)Second (11)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: 0.80 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 100%
OUTSIDE 0%
Dribble location — 8 inside · 0 outside
Right Wing
0 · 0%
Right Half-Space
2 · 25%
Central
2 · 25%
Left Half-Space
4 · 50%
Left Wing
0 · 0%
Vision AI His touches are central and high — a penalty-box striker.
04

How does he create chances?

4 key passes (0.40/90), 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:
25%25%25%25%
chance creation (4)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 (1)from the right (3)of 4 key passes landing in the final thirdattacking ↑ toward goal
02

Can he finish?

22 shots · 4.13 xG · 6 goals (+1.87 vs xG). Mostly head-footed. Circle size = xG.

shots  22
on target  12
goals  6
xG  4.13
xG on target  3.91
xG / shot  0.188
Where he shoots from — click an area of the box
07

Where does he become vulnerable?

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

25
attacking third (cheap)
21
middle third
1
own third (dangerous)
Vision AI 53% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.04 danger-index/90 · 0.221 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
08

Where Does He Receive?

The zones where Roberto Fernández 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
Central, Middle third
15%
Secondary
Central, Attacking third
13%
Third
Left Half-Space, Attacking third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Roberto Fernández 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:
2691361419212451585
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.

4%13%7%3%11%15%15%4%2%5%7%10%3%
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.

4Key pass
5Cutback
1Progressive
3Long ball
1Switch
By zone — where the pass started → where it landed
11Outside → Inside
45Inside → Inside
12Outside → Outside
8Inside → Outside
By direction
23Forward
51Backward
43Sideways
own goal left, attacking →
03

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 4 key passes, his busiest route is a delivery where he plays straight through 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 left half-space in the final third: 46% of his 13 touches there are lost (6 times).
—0 touches · too few—0 touches · too few—0 touches · too few—2 touches · too few—0 touches · too few31%4/13 lost25%2/8 lost25%7/28 lost—7 touches · too few44%4/9 lost38%3/8 lost—6 touches · too few39%7/18 lost46%6/13 lost—5 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 26 ball-carries, his dominant tendency is that he carries through central areas (42%). He carries from outside into the middle 5 times and out toward the touchline 2 — a genuine inside forward who cuts in with the ball.
06

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
1 · 4%
Progressive / key pass
1 · 4%
Simple pass
13 · 50%
No clean link
11 · 42%
Of 26 carries, 4% flow straight into a shot of his own, 4% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 42% 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.

13

How & where does he defend?

122 defensive actions across the season (12.2/90). 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 →
6
tackles · 100% won
2
interceptions · 0.2/90
11
recoveries · 1.1/90
15
clearances · 1.5/90
0
blocks
55
avg action height
49
won high (att 3rd)
45
middle third
28
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 19 proactive ball-wins (1.9/90), tackle success 100%. 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.

83
attacking-half actions · 8.30/90
12

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Roberto Fernández 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 3.5, 3m)
0.01
0.0
0.00
33%
Mid press (PPDA 3.9, 3m)
0.07
0.0
0.66
33%
Low press (PPDA 5.3, 4m)
0.14
0.2
0.49
0%
Team

Team context

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

14

Impact on the Team

Insufficient sample: Roberto Fernández played nearly every Espanyol 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.

15

His Share of the Team

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

category
share
him / team
goals
55%
6 / 11
expected goals (xG)
28%
12.6 / 45.1
shots
16%
81 / 495
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 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.

Pressing forward46%Transition runner37%False 928%Target man25%
Why Pressing forward 46%: a weighted blend of defensive aggression 65 (weight 45%) + ball-winning 36 (weight 30%) + transition 27 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
defensive aggression, crossing
Weak
creativity, box threat, ball-winning, retention, carrying, build-up, press resistance, territory (wide vs central), transition, dribbling, progression, line-breaking, through-balls, receiving zones, final-third threat, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
65
Crossing
50
Creativity
40
Box threat
39
Ball-winning
36
Retention
33
Carrying
31
Build-up
31
Press resistance ~proxy
28
Territory (wide vs central)
28
Transition ~proxy
27
Dribbling
24
Progression
23
Line-breaking
20
Through-balls ~proxy
20
Receiving zones
18
Final-third threat
11
Passing directness
10
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: 186 cm / 78 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.

Nikola Stulic Lecce · Serie A · 188 cm / 80 kg
93%
Driven by: final-third threat (11%), passing directness (10%), transition (9%). Different mechanism — Fernández more via carrying.
Roberto Piccoli Bologna · Serie A · 190 cm / 78 kg
88%
Driven by: final-third threat (15%), progression (11%), receiving zones (10%). Different mechanism — Fernández more via creativity, crossing; Piccoli more via dribbling, passing directness.
Petar Ratkov Levante · 193 cm / 76 kg
87%
Driven by: final-third threat (11%), press resistance (10%), progression (9%). Different mechanism — Fernández more via crossing, box threat; Ratkov more via passing directness.
Beto Fiorentina · Premier League · 194 cm / 88 kg
87%
Driven by: final-third threat (15%), transition (11%), progression (10%). Different mechanism — Beto more via box threat, dribbling.
Hugo Duro Valencia · 177 cm / 70 kg
85%
Driven by: transition (12%), final-third threat (11%), passing directness (10%). Different mechanism — Fernández more via carrying; Duro more via build-up.
Louis Mafouta Le Mans · Ligue 1 · 181 cm / 76 kg
84%
Driven by: final-third threat (13%), transition (10%), receiving zones (9%). Different mechanism — Fernández more via carrying; Mafouta more via box threat, build-up.
19

Summary

Roberto Fernández is a pressing forward: 6 goals from 4.13 xG (+1.87 vs expected), 22 shots, 1 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 10 matches (900 minutes) — a reasonable read, still building toward a full-season sample. He profiles as a pressing forward — best used in a system built around that identity. His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall pressing forward 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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