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Player reportLa Liga 2026

Hugo González

Celta Vigo
Complete forward ST
3.4 shots/90 with 3.72 key passes/90
strikerpoacherbox threatfinishing
290
minutes
5 apps
1
goals
1.37 xG
1.4
xG
11 shots
11
shots
0.12 xG/shot
3
box entries
0.93/90
12
key passes
3.72/90
10
dribbles
50% won
70%
pass completion
101 passes
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Hugo González has played 5 matches (290 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 / MOVE
occupy the box, drop or run channel — mostly in the attacking third (51% of his 101 passes)
0.93 box entries/90 · 3× in 2/5 matches
↓
LINK
lay-off and combine
12 key passes · 70% completion · 101× in 5/5 matches
↓
FINISH
shoot from central zones
1.37 xG · 11× in 4/5 matches
↓
CONVERT
goals vs expected
1 goals (-0.4 vs xG) · 1× in 4/5 matches
Signature: occupy / move → link → shoot → convert.
12

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
2.5
dribbles / match
6–35
pass range (matches)
1–6
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (6 at the low end, 35 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

23 tracked carries (7.1/90, 8 progressive, 244m 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.

9%26%17%22%9%4%4%4%4%
progressivelateral/short% of his 23 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 31m
By zone — where the carry started → where it ended
3Outside → Inside
11Inside → Inside
7Outside → Outside
2Inside → Outside
First (23)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: 3.10 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 60%
OUTSIDE 40%
Dribble location — 6 inside · 4 outside
Right Wing
2 · 20%
Right Half-Space
3 · 30%
Central
3 · 30%
Left Half-Space
0 · 0%
Left Wing
2 · 20%
Vision AI His touches are central and high — a penalty-box striker.
03

How does he create chances?

12 key passes (3.72/90), 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:
17%33%17%17%17%
chance creation (6)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 (2)from the right (4)of 6 key passes landing in the final thirdattacking ↑ toward goal
04

Where does he become vulnerable?

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

22
attacking third (cheap)
12
middle third
1
own third (dangerous)
Vision AI 63% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.96 danger-index/90 · 0.181 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 Hugo González 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
Right Wing, Attacking third
16%
Secondary
Right Half-Space, Middle third
14%
Third
Right Half-Space, Attacking 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 Hugo González 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:
122484210214212171518
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%12%16%13%13%4%2%9%16%1%1%2%4%6%
own goal left, attacking →
08

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.

12Key pass
3Cross
2Cutback
11Progressive
13Long ball
6Switch
By zone — where the pass started → where it landed
13Outside → Inside
33Inside → Inside
10Outside → Outside
15Inside → Outside
By direction
46Forward
29Backward
26Sideways
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 hs in the final third — 2 passes worth 0.54 xT.
Where do his chances come from?
Of 12 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 4 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 middle third: 50% of his 10 touches there are lost (5 times).
—0 touches · too few—2 touches · too few—4 touches · too few—0 touches · too few—1 touch · too few50%5/10 lost11%2/18 lost20%2/10 lost—2 touches · too few—2 touches · too few41%7/17 lost25%3/12 lost33%4/12 lost—3 touches · too few25%2/8 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

24 defensive actions across the season (7.4/90). 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 →
1
tackles · 0% won
0
interceptions · 0.0/90
11
recoveries · 3.4/90
1
clearances · 0.3/90
0
blocks
51
avg action height
8
won high (att 3rd)
8
middle third
8
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 12 proactive ball-wins (3.7/90), tackle success 0%. 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.

12
attacking-half actions · 3.72/90
Team

Team context

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

10

Impact on the Team

Celta Vigo's output per match with Hugo González (5 matches) versus without him (5 matches). Insufficient evidence — the without-sample is only 5 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (5)
WITHOUT (5)
Δ
goals for /match
1.40
0.60
+0.80
xG for /match
1.19
0.45
+0.74
goals against /match
0.80
0.60
+0.20
points /match
1.20
1.20
+0.00
11

His Share of the Team

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

category
share
him / team
goals
10%
1 / 10
expected goals (xG)
3%
1.4 / 50.5
box entries
3%
12 / 465
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

13

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 354 strikers 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.

Poacher87%False 984%Target man84%Transition runner73%
Why Poacher 87%: a weighted blend of box threat 85 (weight 55%) + final-third threat 99 (weight 30%) + press resistance 66 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, final-third threat, line-breaking, progression, passing directness, creativity, transition, receiving zones, carrying, crossing
Strong
box threat, dribbling, territory (wide vs central)
Average
press resistance, build-up, retention, ball-winning
Weak
defensive aggression
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
100
Final-third threat
99
Line-breaking
99
Progression
98
Passing directness
97
Creativity
95
Transition ~proxy
95
Receiving zones
92
Carrying
91
Crossing
88
Box threat
85
Dribbling
82
Territory (wide vs central)
72
Press resistance ~proxy
66
Build-up
49
Retention
49
Ball-winning
47
Defensive aggression
19
14

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: 184 cm) 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.

Karim Adeyemi Barcelona · 180 cm / 75 kg
91%
Driven by: creativity (11%), progression (10%), transition (10%). Different mechanism — González more via passing directness; Adeyemi more via territory (wide vs central).
Cucho Hernández Real Betis · 176 cm / 79 kg
90%
Driven by: transition (13%), progression (11%), line-breaking (9%). Different mechanism — González more via creativity, through-balls; Hernández more via defensive aggression, ball-winning.
Nicolò Zaniolo Udinese · Serie A · 190 cm / 79 kg
86%
Driven by: transition (15%), creativity (11%), final-third threat (11%). Different mechanism — González more via box threat, crossing; Zaniolo more via ball-winning, defensive aggression.
Christian Pulisic AC Milan · Serie A · 178 cm / 73 kg
86%
Driven by: creativity (12%), final-third threat (10%), progression (9%). Different mechanism — González more via passing directness; Pulisic more via retention, build-up.
João Pedro Chelsea · Premier League · 186 cm / 70 kg
86%
Driven by: final-third threat (13%), through-balls (10%), receiving zones (9%). Different mechanism — González more via passing directness, territory (wide vs central); Pedro more via defensive aggression.
John Yeboah Venezia · Serie A · 170 cm / 66 kg
85%
Driven by: creativity (12%), transition (12%), final-third threat (9%). Different mechanism — González more via crossing; Yeboah more via retention, build-up.
15

Summary

Hugo González is a poacher / false 9: 1 goals from 1.37 xG (-0.37 vs expected), 11 shots, 3 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 5 matches (290 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a poacher / false 9 — best used in a system built around that identity. His biggest room for growth is press resistance — even a modest improvement there would meaningfully lift his overall poacher 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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