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Player reportPremier League 2026

Nathan Collins

Brentford
Ball-playing centre-back CB
5.3 progressive passes/90 · 1.3 line-breaking/90
centre-backstopper centre-backbuild-upline-breaking
203
minutes
3 apps
119
passes
82% completed
82%
pass completion
119 passes
12
progressive passes
5.3/90
19
line-breaking passes
8.4/90
48
defensive actions
21.3/90
4
tackles + interceptions
100% tackle win
14
clearances
6.2/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Nathan Collins has played 3 matches (203 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
in the first line of build-up — mostly in the defensive third (56% of his 119 passes)
82% completion · 119× in 3/3 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
5.3 prog/90 · 19× in 3/3 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 3× in 2/3 matches
↓
PROGRESS
entries into the final third
3.5/90 · 8× in 2/3 matches
Signature: Receive → Break A Line → Switch Play → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
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 →
40
passes / match
21.3
def actions / 90
2–62
pass range (matches)
14
clearances
Pass range = his fewest and most passes in any single match this season (2 at the low end, 62 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

06

How dangerous are his carries?

Real ball-carries

26 tracked carries (11.5/90, 5 progressive, 212m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

15%15%8%12%27%23%
progressivelateral/short% of his 26 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 23m
By zone — where the carry started → where it ended
2Outside → Inside
21Inside → Inside
3Outside → Outside
First (14)Second (12)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

2
tackle duels
2
won
0
beaten · 0%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 50%
OUTSIDE 50%
Tackle-duel location — 1 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
1 · 50%
Left Half-Space
0 · 0%
Left Wing
1 · 50%
Vision AI beaten in 0 of 2 tackle duels (0% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 0 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

08

How does he create chances?

2 key passes (0.89/90), 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:
100%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
03

Where does he become vulnerable?

21 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

3
attacking third (cheap)
6
middle third
12
own third (dangerous)
Vision AI 14% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 5.43 danger-index/90 · 0.584 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
04

Where Does He Receive?

The zones where Nathan Collins 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
25%
Primary
Left Half-Space, Defensive third
19%
Secondary
Central, Defensive third
13%
Third
Central, Middle third
These are the zones where he collected the ball most.
05

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Nathan Collins 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:
18181092417111576313
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.

3%1%3%14%9%13%6%1%15%15%8%8%2%3%
own goal left, attacking →
07

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.

2Key pass
2Cutback
12Progressive
19Long ball
3Switch
By zone — where the pass started → where it landed
13Outside → Inside
51Inside → Inside
4Outside → Outside
30Inside → Outside
By direction
61Forward
20Backward
38Sideways
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 →
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays inside from the left hs 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 left wing in the defensive third: 20% of his 10 touches there are lost (2 times).
—1 touch · too few—3 touches · too few17%4/23 lost17%5/30 lost20%2/10 lost—1 touch · too few—6 touches · too few6%1/16 lost13%2/15 lost—7 touches · too few—0 touches · too few—0 touches · too few—1 touch · too few—3 touches · too few—3 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

48 defensive actions across the season (21.3/90). 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 →
2
tackles · 100% won
2
interceptions · 0.9/90
11
recoveries · 4.9/90
14
clearances · 6.2/90
1
blocks
35
avg action height
7
won high (att 3rd)
14
middle third
27
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 15 proactive ball-wins (6.7/90), tackle success 100%. He defends mostly around the middle third.
Team

Team context

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

10

Impact on the Team

Brentford's output per match with Nathan Collins (3 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. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (3)
WITHOUT (5)
Δ
goals against /match
0.67
1.40
-0.73
points /match
1.67
1.20
+0.47
goals for /match
1.67
1.80
-0.13
xG for /match
2.14
0.55
+1.60
11

His Share of the Team

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

category
share
him / team
clearances
14%
226 / 1571
interceptions
8%
39 / 499
ball recoveries
6%
150 / 2427
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 515 centre-backs 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.

Stopper centre-back55%Ball-playing centre-back47%
Why Stopper centre-back 55%: a weighted blend of defensive aggression 62 (weight 35%) + ball-winning 47 (weight 40%) + transition 70 (weight 10%) + retention 37 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
passing directness, transition
Average
box threat, build-up, defensive aggression, carrying, creativity, dribbling, crossing, press resistance, ball-winning, territory (wide vs central), line-breaking, progression
Weak
final-third threat, retention, receiving zones, through-balls
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
71
Transition ~proxy
70
Box threat
70
Build-up
63
Defensive aggression
62
Carrying
58
Creativity
53
Dribbling
52
Crossing
51
Press resistance ~proxy
47
Ball-winning
47
Territory (wide vs central)
46
Line-breaking
45
Progression
40
Final-third threat
38
Retention
37
Receiving zones
36
Through-balls ~proxy
34
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: 193 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.

Sven Botman Newcastle · 193 cm / 81 kg
68%
Driven by: transition (19%), passing directness (16%), build-up (12%). Different mechanism — Collins more via line-breaking, crossing; Botman more via retention, passing directness.
Raphaël Le Guen Brest · Ligue 1 · 196 cm / 83 kg
65%
Driven by: box threat (21%), transition (19%), receiving zones (15%). Different mechanism — Collins more via crossing, receiving zones; Guen more via ball-winning, box threat.
Calvin Brackelmann Augsburg · Bundesliga · 196 cm / 86 kg
65%
Driven by: transition (24%), defensive aggression (15%), passing directness (12%). Different mechanism — Collins more via line-breaking, creativity; Brackelmann more via territory (wide vs central), ball-winning.
Leo Østigård Genoa · Serie A · 183 cm / 81 kg
62%
Driven by: passing directness (22%), box threat (19%), transition (14%). Different mechanism — Collins more via territory (wide vs central), dribbling; Østigård more via passing directness.
Evan Ndicka Roma · Serie A · 192 cm / 85 kg
62%
Driven by: box threat (14%), build-up (13%), transition (11%). Different mechanism — Collins more via creativity, line-breaking; Ndicka more via retention.
Nicolò Casale Bologna · Serie A · 191 cm / 84 kg
60%
Driven by: passing directness (17%), transition (17%), through-balls (14%). Different mechanism — Collins more via dribbling, creativity; Casale more via passing directness.
15

Summary

Nathan Collins is a stopper centre-back: 82% pass completion, 19 line-breaking passes and 5.3 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 3 matches (203 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity. His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper centre-back 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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