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Player reportPremier League 2026

Declan Rice

Arsenal
Advanced playmaker CM
1.96 key passes/90 · 1.53 xT/90
Capability Analysis
Successful Dribble58%vs 25 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.4128%
Take-on success47.37%88%
Progression79%vs 25 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /905.3880%
Line-breaking passes /902.2680%
Threat added by passing /901.61xT88%
Pass accuracy83.37%68%
Ball-Carrying77%vs 25 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /908.0996%
Carry distance /90214.46m96%
Successful take-ons /900.4128%
Take-on success47.37%88%
Chance Creation48%vs 25 central mids
"Does he create real chances for others?"
Expected assists /900.06xA24%
Through balls /900.00%
Threat added by passing /901.61xT88%
Box entries (pass) /902.6980%
central middeep-lying playmakerprogressionbox-to-box
688
minutes
8 apps
57
progressive passes
7.5/90
88%
pass completion
602 passes
15
key passes
1.96/90
13
box entries
1.70/90
84
final-3rd entries
11.0/90
5
dribbles
80% won
71
possessions lost
2.72 danger/90
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
Right Half-Space, Middle third — mostly in the middle third (59% of his 602 passes)
88% completion · 602× in 8/8 matches
↓
PROGRESS
drive or pass into the final third
7.5 prog/90 · 57× in 8/8 matches
↓
ARRIVE
get into the box late
15 key passes · 13× in 7/8 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.96 key passes /90 · 0 goals · 21× in 7/8 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
19

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 →
75
passes / match
2.5
dribbles / match
61–104
pass range (matches)
2–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (61 at the low end, 104 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.

11

How dangerous are his carries?

Real ball-carries

187 tracked carries (24.5/90, 49 progressive, 1942m 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.

6%14%13%3%3%12%19%12%3%2%3%4%7%
progressivelateral/short% of his 187 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 63m
By zone — where the carry started → where it ended
10Outside → Inside
140Inside → Inside
28Outside → Outside
9Inside → Outside
First (63)Second (58)Third (38)Fourth (28)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 5 dribbles attempted this season — too little volume to map a location pattern.

06

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 →RWRHSCLHSLWRW9348%4542%399%81%1RHS18446%8423%4325%463%53%6C14114%2026%3724%3426%379%13LHS781%18%622%1717%1353%41LW3628%1025%947%17FROM
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 → central areas in the final third — 6 progressive passes (14% of his progression) at 0.247 xT each. He moves it inside.

His progression is inward: 56% of progressive passes move the ball toward the middle versus 5% going wider — he cuts in rather than holding width.

Only 7% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 20 line-breaking passes and 84 final-third entries, 11.7 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%5%11%18%8%0%1%8%12%9%4%0%0%3%3%5%4%5%
completedincomplete602 passes · any zone → any zone · own goal left, attacking →
602
passes
88%
completed
70
lost
Vision AIIn line with his 88% season completion rate.
02

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

57
progressive · 7.5/90
84
final-third entries · 11.0/90
13
box entries · 1.70/90
35
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
04

How does he create chances?

15 key passes (1.96/90), 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:
20%40%20%10%10%
chance creation (10)assist (0)% of the selected group's key passes originating in each zone
12

Where does he become vulnerable?

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

33
attacking third (cheap)
23
middle third
15
own third (dangerous)
Vision AI 46% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.72 danger-index/90 · 0.293 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
13

What is his passing profile?

602
passes attempted
49%
mostly forward
52%
mostly short
Direction
Forward
295 · 49%
Sideways
214 · 36%
Backward
93 · 15%
Length (completed)
Short (<15m)
279 · 52%
Medium
221 · 42%
Long (>30m)
32 · 6%
07

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.700.610.570.440.420.31
own goal left, attacking →
Highest-value routes (xT)
0.70
Right Half-Space Mid third → Right Half-Space Att third
3 passes
0.61
Right Half-Space Mid third → Right Wing Att third
9 passes
0.57
Right Half-Space Att third → Central Att third
2 passes · 2 to a shot
0.44
Right Half-Space Mid third → Left Wing Att third
4 passes
0.42
Right Wing Mid third → Left Half-Space Att third
1 passes
0.31
Left Half-Space Mid third → Left Wing Att third
4 passes
09

Where Does He Receive?

The zones where Declan Rice 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
Right Half-Space, Middle third
15%
Secondary
Central, Middle third
10%
Third
Right Wing, Middle third
These are the zones where he collected the ball most.
10

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Declan Rice 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:
11721322330551725532383367111502
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%5%11%18%8%0%1%8%12%9%4%0%0%3%3%5%4%5%
own goal left, attacking →
14

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.

15Key pass
4Cross
57Progressive
57Long ball
22Switch
By zone — where the pass started → where it landed
67Outside → Inside
238Inside → Inside
62Outside → Outside
165Inside → Outside
By direction
295Forward
93Backward
214Sideways
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 plays straight through the right hs, advancing it forward in the middle third — 3 passes worth 0.70 xT.
Where do his chances come from?
Of 15 key passes, his busiest route is a delivery where he plays inside from the left wing toward the central in the final third — 5 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 wing in the final third: 43% of his 37 touches there are lost (16 times).
21%4/19 lost12%3/24 lost9%4/47 lost17%3/18 lost—5 touches · too few3%2/63 lost5%7/141 lost8%7/89 lost12%6/50 lost8%1/12 lost15%3/20 lost28%11/40 lost6%1/17 lost5%1/20 lost43%16/37 lostRWRHSCLHSLWDEFMIDATT
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 187 ball-carries, his dominant tendency is that he carries through central areas (75%). He carries from outside into the middle 10 times and out toward the touchline 9 — balanced between cutting in and holding width.
08

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 · 1%
Progressive / key pass
10 · 5%
Simple pass
167 · 89%
No clean link
9 · 5%
Of 187 carries, 1% flow straight into a shot of his own, 5% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 5% 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.

15

How & where does he defend?

91 defensive actions across the season (11.9/90). 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 →
10
tackles · 70% won
8
interceptions · 1.0/90
27
recoveries · 3.5/90
15
clearances · 2.0/90
3
blocks
34
avg action height
6
won high (att 3rd)
37
middle third
48
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 45 proactive ball-wins (5.9/90), tackle success 70%. He defends mostly around the middle third.
16

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Declan Rice keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.6, 2m)
1.74
8.5
0.95
67%
Mid press (PPDA 4.3, 2m)
1.66
6.2
2.06
100%
Low press (PPDA 7.5, 4m)
2.63
7.5
2.51
0%
Team

Team context

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

17

Impact on the Team

Insufficient sample: Declan Rice played nearly every Arsenal 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.

18

His Share of the Team

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

category
share
him / team
final-third entries
16%
361 / 2316
box entries
15%
119 / 783
threat added by passing (xT)
13%
71.1 / 541.3
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 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.

Deep-lying playmaker81%Box-to-box runner79%Tempo controller78%Advanced playmaker (8)77%
Why Deep-lying playmaker 81%: a weighted blend of progression 91 (weight 30%) + build-up 77 (weight 30%) + retention 71 (weight 20%) + press resistance 63 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
final-third threat, progression, line-breaking, transition, through-balls
Strong
passing directness, carrying, build-up, receiving zones, retention
Average
ball-winning, press resistance, crossing, creativity, dribbling, box threat, defensive aggression
Weak
territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Final-third threat
95
Progression
91
Line-breaking
88
Transition ~proxy
87
Through-balls ~proxy
86
Passing directness
85
Carrying
85
Build-up
77
Receiving zones
77
Retention
71
Ball-winning
68
Press resistance ~proxy
63
Crossing
60
Creativity
58
Dribbling
48
Box threat
47
Defensive aggression
44
Territory (wide vs central)
36
21

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: 188 cm / 76 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.

Angelo Stiller Stuttgart · Bundesliga · 183 cm / 77 kg
92%
Driven by: transition (14%), final-third threat (12%), progression (11%). Different mechanism — Rice more via territory (wide vs central); Stiller more via creativity, receiving zones.
Luka Modric AC Milan · Serie A · 172 cm / 66 kg
91%
Driven by: transition (17%), final-third threat (11%), progression (11%). Different mechanism — Modric more via creativity.
Joshua Kimmich Bayern · Bundesliga · 177 cm / 75 kg
91%
Driven by: final-third threat (14%), transition (14%), progression (13%). Different mechanism — Rice more via territory (wide vs central), ball-winning; Kimmich more via creativity, receiving zones.
Valentín Barco Chelsea · 170 cm / 67 kg
89%
Driven by: transition (15%), final-third threat (14%), progression (13%).
Nikola Moro Bologna · Serie A · 183 cm / 77 kg
89%
Driven by: transition (16%), final-third threat (14%), progression (13%). Different mechanism — Rice more via through-balls, territory (wide vs central); Moro more via dribbling.
Sandro Tonali Tottenham · 181 cm / 79 kg
87%
Driven by: transition (20%), final-third threat (13%), passing directness (12%). Different mechanism — Rice more via through-balls; Tonali more via creativity.
22

Summary

Declan Rice is a deep-lying playmaker / box-to-box runner: 7.5 progressive passes, 1.96 key passes /90, 13 box entries, 0 goals from 0.30 xG. A box-to-box contributor across every phase.

Based on 8 matches (688 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a deep-lying playmaker / box-to-box runner — 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 deep-lying playmaker 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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