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Player reportPremier League 2026

Murillo

Nottingham Forest
Ball-playing centre-back CB
7.1 progressive passes/90 · 1.3 line-breaking/90
Capability Analysis
Aerial & Box Defending31%vs 50 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /905.5162%
Ball-Winning64%vs 50 centre-backs
"How actively does he win the ball back?"
Interceptions /901.3886%
Ball recoveries /904.1688%
Tackles /901.566%
Duels won /901.0816%
Breaking Pressure
only 146 pressured-passing actions across 4 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression68%vs 50 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /904.1976%
Line-breaking passes /901.2986%
Threat added by passing /901.16xT72%
Pass accuracy83.92%38%
Ball-Carrying19%vs 50 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.3524%
Carry distance /9076.13m14%
centre-backstopper centre-backbuild-upline-breaking
753
minutes
8 apps
403
passes
85% completed
85%
pass completion
403 passes
59
progressive passes
7.1/90
65
line-breaking passes
7.8/90
165
defensive actions
19.7/90
27
tackles + interceptions
73% tackle win
50
clearances
6.0/90
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
in the first line of build-up — mostly in the middle third (46% of his 403 passes)
85% completion · 403× in 8/8 matches
↓
CARRY OUT
step into midfield to commit a presser
12 carries · 24× in 7/8 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
7.1 prog/90 · 65× in 8/8 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 26× in 8/8 matches
↓
PROGRESS
entries into the final third
5.5/90 · 46× in 8/8 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
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 →
50
passes / match
19.7
def actions / 90
19–72
pass range (matches)
50
clearances
Pass range = his fewest and most passes in any single match this season (19 at the low end, 72 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.

09

How dangerous are his carries?

Real ball-carries

68 tracked carries (8.1/90, 14 progressive, 543m 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.

3%6%9%1%13%24%29%12%3%
progressivelateral/short% of his 68 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 29m
By zone — where the carry started → where it ended
6Outside → Inside
37Inside → Inside
19Outside → Outside
6Inside → Outside
First (22)Second (19)Third (14)Fourth (13)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).

15
tackle duels
11
won
4
beaten · 27%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 33%
OUTSIDE 67%
Tackle-duel location — 5 inside · 10 outside
Right Wing
1 · 7%
Right Half-Space
0 · 0%
Central
5 · 33%
Left Half-Space
0 · 0%
Left Wing
9 · 60%
Vision AI beaten in 4 of 15 tackle duels (27% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

For a centre-back the carry is a build-up weapon — does he step out through the middle, or keep it simple? Every carry classified by channel. Season rate: 1.43 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 42%
OUTSIDE 58%
Dribble location — 5 inside · 7 outside
Right Wing
1 · 8%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
5 · 42%
Left Wing
6 · 50%
Vision AI 42% of his carries are central — he steps out through the middle to draw a presser before releasing.
04

How does he build & move the ball?

How does he escape the first line?

19%
vertical passes
46×
9%
switches
21×
23%
carries
57×
50%
short circulation
122×
Answer: he escapes the press primarily through carrying — stepping out with 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 →RWRHSCLHSLWRW743%343%314%1RHS450%225%125%1C6213%829%1823%1416%1019%12LHS1533%57%1133%5112%1944%67LW1182%24%518%2139%4637%44FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left half-space in the middle third → the left half-space in the final third — 4 progressive passes (11% of his progression) at 0.143 xT each. He keeps it in the same lane.

His progression is inward: 46% of progressive passes move the ball toward the middle versus 14% going wider — he cuts in rather than holding width.

13% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 11 line-breaking passes and 46 final-third entries, 8.2 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
0%1%1%0%0%1%9%6%6%2%12%23%19%13%5%
completedincomplete403 passes · any zone → any zone · own goal left, attacking →
403
passes
85%
completed
59
lost
Vision AIIn line with his 85% season completion rate.
02

How does he progress play?

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

59
progressive · 7.1/90
46
final-third entries · 5.5/90
3
box entries · 0.36/90
18
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.
12

How does he create chances?

5 key passes (0.60/90), 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%20%20%20%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

66 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.

7
attacking third (cheap)
25
middle third
34
own third (dangerous)
Vision AI 11% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.13 danger-index/90 · 0.524 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

403
passes attempted
59%
mostly forward
54%
mostly medium
Direction
Forward
238 · 59%
Sideways
101 · 25%
Backward
64 · 16%
Length (completed)
Short (<15m)
120 · 35%
Medium
185 · 54%
Long (>30m)
39 · 11%
10

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.

0.480.460.440.320.310.31
own goal left, attacking →
Highest-value routes (xT)
0.48
Central Mid third → Right Wing Att third
3 passes
0.46
Left Half-Space Mid third → Left Half-Space Att third
3 passes
0.44
Left Wing Def third → Left Wing Mid third
7 passes
0.32
Left Half-Space Mid third → Left Wing Att third
5 passes
0.31
Left Half-Space Mid third → Left Wing Mid third
6 passes
0.31
Left Wing Mid third → Left Wing Att third
2 passes
07

Where Does He Receive?

The zones where Murillo 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
22%
Primary
Left Half-Space, Middle third
20%
Secondary
Left Half-Space, Defensive third
17%
Third
Left Wing, Defensive third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Murillo 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:
489579542217382327111214421
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.

0%1%1%0%0%1%9%6%6%2%12%23%19%13%5%
own goal left, attacking →
11

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.

5Key pass
1Cross
59Progressive
65Long ball
26Switch
By zone — where the pass started → where it landed
76Outside → Inside
125Inside → Inside
49Outside → Outside
94Inside → Outside
By direction
238Forward
64Backward
101Sideways
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 — 3 passes worth 0.48 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he switches it out from the central to the right hs, advancing it forward in the defensive third — 1 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 central in the final third: 60% of his 10 touches there are lost (6 times).
—3 touches · too few—1 touch · too few6%2/33 lost12%10/81 lost27%18/67 lost—3 touches · too few—3 touches · too few7%2/29 lost15%13/88 lost11%7/63 lost—1 touch · too few—0 touches · too few60%6/10 lost—7 touches · too few7%1/14 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

165 defensive actions across the season (19.7/90). 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 →
15
tackles · 73% won
12
interceptions · 1.4/90
37
recoveries · 4.4/90
50
clearances · 6.0/90
10
blocks
29
avg action height
11
won high (att 3rd)
44
middle third
110
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 64 proactive ball-wins (7.6/90), tackle success 73%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Murillo still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~2-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 2.8, 2m)
81%
4.8
7.2
0.75
Mid press (PPDA 3.5, 2m)
84%
8.5
9.4
1.46
Low press (PPDA 4.7, 4m)
87%
7.5
7.3
1.35
Team

Team context

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

15

Impact on the Team

Insufficient sample: Murillo played nearly every Nottingham Forest 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.

16

His Share of the Team

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

category
share
him / team
clearances
15%
184 / 1226
interceptions
14%
46 / 322
final-third entries
10%
156 / 1568
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 513 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-back59%Ball-playing centre-back51%
Why Stopper centre-back 59%: a weighted blend of ball-winning 79 (weight 40%) + defensive aggression 35 (weight 35%) + retention 42 (weight 15%) + transition 61 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness
Strong
line-breaking, ball-winning, receiving zones, creativity, dribbling
Average
through-balls, territory (wide vs central), final-third threat, progression, box threat, transition, press resistance, build-up, crossing, retention
Weak
defensive aggression, carrying
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
86
Line-breaking
84
Ball-winning
79
Receiving zones
77
Creativity
77
Dribbling
73
Through-balls ~proxy
69
Territory (wide vs central)
66
Final-third threat
66
Progression
65
Box threat
64
Transition ~proxy
61
Press resistance ~proxy
55
Build-up
48
Crossing
47
Retention
42
Defensive aggression
35
Carrying
33
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: 180 cm / 75 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.

Emmanuel Agbadou Wolves 25/26 · 192 cm / 85 kg
80%
Driven by: creativity (18%), ball-winning (17%), line-breaking (15%). Different mechanism — Murillo more via territory (wide vs central); Agbadou more via through-balls, final-third threat.
Adrien Monfray Troyes · Ligue 1 · 185 cm / 76 kg
77%
Driven by: ball-winning (21%), passing directness (15%), line-breaking (8%). Different mechanism — Murillo more via receiving zones; Monfray more via defensive aggression, final-third threat.
Frédéric Guilbert Nantes · Ligue 1 25/26 · 178 cm / 70 kg
75%
Driven by: ball-winning (18%), passing directness (11%), line-breaking (10%). Different mechanism — Murillo more via build-up, retention; Guilbert more via territory (wide vs central), defensive aggression.
Santiago Mouriño Villarreal · La Liga · 186 cm / 76 kg
74%
Driven by: ball-winning (19%), creativity (14%), line-breaking (13%). Different mechanism — Murillo more via passing directness; Mouriño more via crossing, territory (wide vs central).
Adrián de la Fuente Levante · La Liga · 179 cm / 77 kg
72%
Driven by: creativity (15%), line-breaking (13%), passing directness (10%). Different mechanism — Murillo more via ball-winning, defensive aggression; Fuente more via box threat, through-balls.
Diogo Leite Lazio · Serie A · 188 cm / 70 kg
70%
Driven by: passing directness (14%), creativity (13%), line-breaking (12%). Different mechanism — Murillo more via retention, build-up; Leite more via defensive aggression, crossing.
20

Summary

Murillo is a stopper centre-back: 85% pass completion, 65 line-breaking passes and 7.1 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 8 matches (753 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 defensive aggression — 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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