العربيةVision AI ← BACK TO SEARCH
Player reportLa Liga 2026
DEP

Yeremay Hernández

Deportivo
Advanced playmaker AM
1.98 key passes/90 · 0.16 xT/90
Capability Analysis
Chance Creation41%vs 25 attacking mids
"Does he create real chances for others?"
Expected assists /900.13xA65%
Through balls /900.00%
Threat added by passing /900.81xT35%
Box entries (pass) /902.3865%
Box Threat67%vs 25 attacking mids
"Is he a genuine goal threat by shot volume and quality?"
xG /900.24xG81%
Shots /901.5938%
xGOT /900.29xGOT81%
Ball-Carrying70%vs 25 attacking mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /904.3650%
Carry distance /90104.45m42%
Successful take-ons /903.3792%
Take-on success58.62%96%
attacking midhalf-space creatorcreationbetween the lines
454
minutes
9 apps
10
key passes
1.98/90
8
progressive passes
1.6/90
7
box entries
1.39/90
11
final-3rd entries
2.2/90
1
goals
1.23 xG
29
dribbles
59% won
84%
pass completion
173 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.

RECEIVE
Left Wing, Attacking third — between the lines — mostly in the middle third (51% of his 173 passes)
84% completion · 173× in 9/9 matches
↓
TURN / BEAT MAN
face forward in the pocket
59% won · 29× in 6/9 matches
↓
CREATE
through-ball, cut-back, key pass
1.98/90 · 10× in 4/9 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 1.23 xG · 8× in 4/9 matches
Signature: receive between the lines → turn → create or finish.
18

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 →
19
passes / match
4.8
dribbles / match
5–37
pass range (matches)
1–9
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (5 at the low end, 37 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.

05

How dangerous are his carries?

Real ball-carries

53 tracked carries (10.5/90, 13 progressive, 527m 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.

2%4%8%2%4%4%4%2%9%23%36%4%
progressivelateral/short% of his 53 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 33m
By zone — where the carry started → where it ended
10Outside → Inside
16Inside → Inside
21Outside → Outside
6Inside → Outside
First (20)Second (15)Third (10)Fourth (8)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he carry to create or drift wide? Dribbles by channel. Season rate: 5.75 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 52%
OUTSIDE 48%
Dribble location — 15 inside · 14 outside
Right Wing
1 · 3%
Right Half-Space
5 · 17%
Central
2 · 7%
Left Half-Space
8 · 28%
Left Wing
13 · 45%
Vision AI His carries cluster centrally — a central creator.
13

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 →RWRHSCLHSLWRW1136%445%518%2RHS1656%925%419%3C128%133%458%7LHS482%121%1046%2231%15LW597%439%2354%32FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the final third → the left half-space in the final third — 6 progressive passes (32% of his progression) at 0.074 xT each. He moves it inside.

His progression is inward: 84% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 3% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 9 line-breaking passes and 11 final-third entries, 0.8 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
1%2%6%5%2%2%3%6%3%1%3%9%24%27%6%
completedincomplete173 passes · any zone → any zone · own goal left, attacking →
173
passes
84%
completed
27
lost
Vision AIIn line with his 84% season completion rate.
02

How does he create chances?

10 key passes (1.98/90), 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:
10%10%20%10%30%20%
chance creation (10)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 (6)from the right (4)of 10 key passes landing in the final thirdattacking ↑ toward goal
10

Where does he become vulnerable?

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

20
attacking third (cheap)
14
middle third
5
own third (dangerous)
Vision AI 51% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.91 danger-index/90 · 0.247 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
11

What is his passing profile?

173
passes attempted
42%
mostly sideways
67%
mostly short
Direction
Forward
47 · 27%
Sideways
73 · 42%
Backward
53 · 31%
Length (completed)
Short (<15m)
98 · 67%
Medium
44 · 30%
Long (>30m)
4 · 3%
03

Where Does He Receive?

The zones where Yeremay Hernández 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
21%
Primary
Left Wing, Attacking third
18%
Secondary
Left Wing, Middle third
15%
Third
Left Half-Space, Attacking third
These are the zones where he collected the ball most.
04

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Yeremay Hernández 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:
6194454193812651411108
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.

1%2%6%5%2%2%3%6%3%1%3%9%24%27%6%
own goal left, attacking →
12

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.

10Key pass
5Cross
7Cutback
8Progressive
4Long ball
2Switch
By zone — where the pass started → where it landed
34Outside → Inside
51Inside → Inside
36Outside → Outside
25Inside → Outside
By direction
47Forward
53Backward
73Sideways
own goal left, attacking →
07

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 left wing toward the left hs, advancing it forward in the middle third — 2 passes worth 0.54 xT.
Where do his chances come from?
Of 10 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 half-space in the final third: 25% of his 8 touches there are lost (2 times).
—0 touches · too few—2 touches · too few—2 touches · too few—1 touch · too few—4 touches · too few—7 touches · too few10%1/10 lost9%1/11 lost8%2/26 lost15%5/34 lost—7 touches · too few25%2/8 lost—2 touches · too few12%3/26 lost15%5/33 lostRWRHSCLHSLWDEFMIDATT
08

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 53 ball-carries, his dominant tendency is that he drives along the touchline (40%). He carries from outside into the middle 10 times and out toward the touchline 6 — 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
2 · 4%
Progressive / key pass
8 · 15%
Simple pass
30 · 57%
No clean link
13 · 25%
Of 53 carries, 4% flow straight into a shot of his own, 15% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 25% have no clean link to a next touch of his own close to where the carry ended.
09

Crosses & Cutbacks

5 crosses (0.99/90, 3 completed) and 7 cutbacks (1.39/90, 4 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.

15

How & where does he defend?

71 defensive actions across the season (14.1/90). 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 →
11
tackles · 73% won
5
interceptions · 1.0/90
28
recoveries · 5.6/90
1
clearances · 0.2/90
6
blocks
46
avg action height
15
won high (att 3rd)
33
middle third
23
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 44 proactive ball-wins (8.7/90), tackle success 73%. 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.

24
attacking-half actions · 4.76/90
14

Against Different Pressing Intensities

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

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.3, 3m)
0.89
1.2
2.73
65%
Mid press (PPDA 5.1, 3m)
0.81
2.1
1.03
0%
Low press (PPDA 5.6, 3m)
0.67
2.0
1.32
50%
Team

Team context

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

16

Impact on the Team

Deportivo's output per match with Yeremay Hernández (9 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (9)
WITHOUT (1)
Δ
goals for /match
1.33
1.00
+0.33
xG for /match
1.23
0.00
+1.23
goals against /match
1.33
1.00
+0.33
points /match
1.11
1.00
+0.11
17

His Share of the Team

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

category
share
him / team
successful take-ons
16%
17 / 108
goals
10%
1 / 10
box entries
8%
12 / 160
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 247 attacking 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.

Half-space creator73%Advanced playmaker (8)66%
Why Half-space creator 73%: a weighted blend of creativity 69 (weight 40%) + final-third threat 56 (weight 30%) + dribbling 98 (weight 15%) + box threat 68 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
dribbling, ball-winning, press resistance, retention
Strong
crossing
Average
creativity, box threat, receiving zones, line-breaking, carrying, defensive aggression, progression, final-third threat, transition, through-balls, build-up, territory (wide vs central)
Weak
passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Dribbling
98
Ball-winning
97
Press resistance ~proxy
95
Retention
93
Crossing
85
Creativity
69
Box threat
68
Receiving zones
63
Line-breaking
62
Carrying
61
Defensive aggression
60
Progression
57
Final-third threat
56
Transition ~proxy
55
Through-balls ~proxy
50
Build-up
49
Territory (wide vs central)
44
Passing directness
3
20

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: 170 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.

Ludovic Blas Rennes · Ligue 1 · 180 cm / 70 kg
72%
Driven by: press resistance (18%), dribbling (17%), ball-winning (14%). Different mechanism — Hernández more via ball-winning, retention; Blas more via passing directness.
Rodrygo Real Madrid 25/26 · 174 cm / 64 kg
69%
Driven by: crossing (13%), passing directness (12%), retention (11%). Different mechanism — Hernández more via ball-winning, through-balls; Rodrygo more via receiving zones, carrying.
Oscar Bobb Fulham · Premier League · 175 cm / 72 kg
68%
Driven by: press resistance (18%), ball-winning (17%), crossing (16%). Different mechanism — Hernández more via box threat, transition; Bobb more via territory (wide vs central), through-balls.
Bambasé Conté Hoffenheim · Bundesliga · 182 cm / 76 kg
66%
Driven by: ball-winning (27%), press resistance (21%), dribbling (16%). Different mechanism — Hernández more via line-breaking, carrying; Conté more via passing directness, defensive aggression.
Brajan Gruda RBL · Bundesliga · 178 cm / 70 kg
63%
Driven by: dribbling (23%), press resistance (17%), crossing (9%). Different mechanism — Hernández more via retention, ball-winning; Gruda more via passing directness, carrying.
Rayan Cherki Man City · Premier League · 180 cm / 71 kg
62%
Driven by: press resistance (19%), crossing (16%), retention (14%). Different mechanism — Hernández more via ball-winning; Cherki more via through-balls, final-third threat.
21

Summary

Yeremay Hernández is a half-space creator / advanced playmaker (8): 1.98 key passes /90, 1.6 progressive passes, 1 goals from 1.23 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]

Based on 9 matches (454 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator / advanced playmaker (8) — best used in a system built around that identity. His biggest room for growth is final-third threat — even a modest improvement there would meaningfully lift his overall half-space creator 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