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Player reportPremier League 2026

Ryan Gravenberch

Liverpool
Half-space creator CM
45% of actions in the half-spaces
central midtempo controllerprogressionbox-to-box
394
minutes
7 apps
14
progressive passes
3.2/90
86%
pass completion
155 passes
4
key passes
0.91/90
2
box entries
0.46/90
19
final-3rd entries
4.3/90
6
dribbles
67% won
24
possessions lost
1.79 danger/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Ryan Gravenberch has played 7 matches (394 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
Left Half-Space, Middle third — mostly in the middle third (65% of his 155 passes)
86% completion · 155× in 7/7 matches
↓
PROGRESS
drive or pass into the final third
3.2 prog/90 · 14× in 6/7 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.91 key passes /90 · 0 goals · 9× in 4/7 matches
Signature: Receive → Progress → Create / Finish — 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: arrive — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
17

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 →
22
passes / match
2.0
dribbles / match
6–47
pass range (matches)
1–4
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (6 at the low end, 47 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

46 tracked carries (10.5/90, 14 progressive, 458m 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%9%9%7%9%20%13%2%2%11%9%9%
progressivelateral/short% of his 46 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
5Outside → Inside
33Inside → Inside
4Outside → Outside
4Inside → Outside
First (19)Second (15)Third (12)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 6 dribbles attempted this season — too little volume to map a location pattern.

08

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 →RWRHSCLHSLWRW1479%1121%3RHS3429%1044%1524%83%1C3321%715%533%1118%612%4LHS375%25%230%1130%1130%11LW1560%940%6FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right half-space in the middle third → the right half-space in the middle third — 2 progressive passes (12% of his progression) at 0.009 xT each. He keeps it in the same lane.

His progression is inward: 44% of progressive passes move the ball toward the middle versus 12% going wider — he cuts in rather than holding width.

Only 8% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 5 line-breaking passes and 19 final-third entries, 1.2 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
2%2%6%16%8%3%9%13%10%1%2%9%10%8%1%
completedincomplete155 passes · any zone → any zone · own goal left, attacking →
155
passes
86%
completed
22
lost
Vision AIIn line with his 86% season completion rate.
02

How does he create chances?

4 key passes (0.91/90), 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:
50%25%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
10

Where does he become vulnerable?

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

8
attacking third (cheap)
11
middle third
5
own third (dangerous)
Vision AI 33% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.79 danger-index/90 · 0.326 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?

155
passes attempted
43%
mostly forward
63%
mostly short
Direction
Forward
67 · 43%
Sideways
51 · 33%
Backward
37 · 24%
Length (completed)
Short (<15m)
84 · 63%
Medium
42 · 32%
Long (>30m)
7 · 5%
05

Where Does He Receive?

The zones where Ryan Gravenberch 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
Left Half-Space, Middle third
17%
Secondary
Central, Middle third
17%
Third
Right Half-Space, Middle 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 Ryan Gravenberch 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:
131416141515212233102612
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%2%6%16%8%3%9%13%10%1%2%9%10%8%1%
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.

4Key pass
1Cross
1Cutback
14Progressive
10Long ball
4Switch
By zone — where the pass started → where it landed
12Outside → Inside
70Inside → Inside
17Outside → Outside
34Inside → Outside
By direction
67Forward
37Backward
51Sideways
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 →
How does he progress the ball forward?
His most common route for progressing play: he switches it out from the central to the right wing, advancing it forward in the middle third — 2 passes worth 0.33 xT.
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he plays straight through the right hs, advancing it forward in the middle 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).
—1 touch · too few—5 touches · too few—3 touches · too few—1 touch · too few—4 touches · too few20%2/10 lost11%3/27 lost12%3/26 lost7%2/29 lost0%0/8 lost—5 touches · too few25%2/8 lost20%2/10 lost9%1/11 lost—7 touches · too fewRWRHSCLHSLWDEFMIDATT
04

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 46 ball-carries, his dominant tendency is that he carries through central areas (72%). He carries from outside into the middle 5 times and out toward the touchline 4 — balanced between cutting in and holding width.
09

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
3 · 7%
Progressive / key pass
4 · 9%
Simple pass
33 · 72%
No clean link
6 · 13%
Of 46 carries, 7% 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. 13% 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.

14

How & where does he defend?

68 defensive actions across the season (15.5/90). 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 →
8
tackles · 62% won
6
interceptions · 1.4/90
17
recoveries · 3.9/90
10
clearances · 2.3/90
1
blocks
46
avg action height
13
won high (att 3rd)
37
middle third
18
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 31 proactive ball-wins (7.1/90), tackle success 62%. He defends high, stepping out to intercept — suits a high line.
13

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Ryan Gravenberch keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.3, 2m)
0.51
1.4
0.48
100%
Mid press (PPDA 4.4, 2m)
1.46
4.9
0.99
0%
Low press (PPDA 7.2, 3m)
0.75
4.7
1.55
0%
Team

Team context

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

15

Impact on the Team

Liverpool's output per match with Ryan Gravenberch (7 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 (7)
WITHOUT (1)
Δ
goals for /match
1.29
2.00
-0.71
xG for /match
1.47
0.00
+1.47
goals against /match
1.00
1.00
+0.00
points /match
1.71
3.00
-1.29
16

His Share of the Team

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

category
share
him / team
interceptions
17%
54 / 314
zone-14 entries
13%
56 / 438
tackles
12%
67 / 581
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 383 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 controller82%Deep-lying playmaker77%Box-to-box runner53%Advanced playmaker (8)51%
Why Tempo controller 82%: a weighted blend of retention 89 (weight 35%) + build-up 76 (weight 30%) + press resistance 80 (weight 20%) + progression 49 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
carrying, receiving zones, retention
Strong
press resistance, dribbling, build-up, passing directness, transition
Average
creativity, ball-winning, final-third threat, progression
Weak
line-breaking, crossing, box threat, defensive aggression, through-balls, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
92
Receiving zones
89
Retention
89
Press resistance ~proxy
80
Dribbling
79
Build-up
76
Passing directness
74
Transition ~proxy
70
Creativity
59
Ball-winning
57
Final-third threat
54
Progression
49
Line-breaking
35
Crossing
34
Box threat
29
Defensive aggression
28
Through-balls ~proxy
21
Territory (wide vs central)
9
19

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: 190 cm / 83 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 Premier League, Bundesliga, La Liga, Ligue 1 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.

Han-Noah Massengo Augsburg · Bundesliga · 178 cm / 70 kg
79%
Driven by: press resistance (13%), retention (12%), territory (wide vs central) (12%). Different mechanism — Gravenberch more via receiving zones, carrying; Massengo more via passing directness.
Manu Koné Roma · Serie A · 185 cm / 80 kg
78%
Driven by: press resistance (18%), retention (16%), dribbling (10%). Different mechanism — Gravenberch more via carrying; Koné more via defensive aggression, territory (wide vs central).
Ross Barkley Aston Villa · 189 cm / 76 kg
78%
Driven by: press resistance (17%), retention (14%), territory (wide vs central) (13%). Different mechanism — Gravenberch more via passing directness, ball-winning; Barkley more via box threat, creativity.
Fran Beltrán Girona · La Liga 25/26 · 170 cm / 66 kg
76%
Driven by: retention (14%), territory (wide vs central) (13%), build-up (12%). Different mechanism — Gravenberch more via dribbling.
Yunus Musah AC Milan · Serie A · 178 cm / 71 kg
74%
Driven by: press resistance (19%), retention (16%), carrying (16%). Different mechanism — Gravenberch more via passing directness, receiving zones; Musah more via crossing, territory (wide vs central).
Ardon Jashari AC Milan · Serie A · 181 cm / 80 kg
73%
Driven by: build-up (15%), carrying (14%), retention (13%). Different mechanism — Gravenberch more via dribbling, press resistance; Jashari more via box threat, creativity.
20

Summary

Ryan Gravenberch is a tempo controller / deep-lying playmaker: 3.2 progressive passes, 0.91 key passes /90, 2 box entries, 0 goals from 0.16 xG. A box-to-box contributor across every phase.

Based on 7 matches (394 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / deep-lying playmaker — 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.

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