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Player reportPremier League 2025/26

Arnaud Kalimuendo

Nottingham Forest
Pressing forward ST
2.0 high defensive actions/90
strikerfalse 9box threatfinishing
1677
minutes
31 apps
6
goals
3.69 xG
3.7
xG
34 shots
34
shots
0.11 xG/shot
9
box entries
0.48/90
22
key passes
1.18/90
42
dribbles
50% won
82%
pass completion
357 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 / MOVE
occupy the box, drop or run channel — mostly in the attacking third (56% of his 357 passes)
0.48 box entries/90 · 9× in 8/27 matches
↓
LINK
lay-off and combine
22 key passes · 82% completion · 357× in 27/27 matches
↓
FINISH
shoot from central zones
3.69 xG · 34× in 17/27 matches
↓
CONVERT
goals vs expected
6 goals (+2.3 vs xG) · 6× in 17/27 matches
Signature: occupy / move → link → shoot → convert.
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 →
13
passes / match
2.6
dribbles / match
1–36
pass range (matches)
1–7
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (1 at the low end, 36 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.

10

How dangerous are his carries?

Real ball-carries

126 tracked carries (6.8/90, 41 progressive, 1461m 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%10%14%6%2%4%6%1%2%6%10%22%6%
progressivelateral/short% of his 126 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 48m
By zone — where the carry started → where it ended
29Outside → Inside
39Inside → Inside
53Outside → Outside
5Inside → Outside
First (45)Second (41)Third (21)Fourth (19)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he drop to link or stay central? Touches by channel. Season rate: 2.26 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 64%
OUTSIDE 36%
Dribble location — 27 inside · 15 outside
Right Wing
5 · 12%
Right Half-Space
8 · 19%
Central
7 · 17%
Left Half-Space
12 · 29%
Left Wing
10 · 24%
Vision AI His touches are central and high — a penalty-box striker.
14

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 →RWRHSCLHSLWRW7155%3938%276%41%1RHS3829%1142%1621%88%3C5326%1458%3111%64%2LHS592%120%1244%2634%20LW721%13%243%3153%38FROM
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 — 7 progressive passes (25% of his progression) at 0.050 xT each. He moves it inside.

His progression is inward: 64% of progressive passes move the ball toward the middle versus 7% going wider — he cuts in rather than holding width.

Only 4% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 16 line-breaking passes and 13 final-third entries, -3.9 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%4%8%14%7%0%1%6%6%6%2%1%2%5%10%16%11%
completedincomplete357 passes · any zone → any zone · own goal left, attacking →
357
passes
82%
completed
64
lost
Vision AIIn line with his 82% season completion rate.
07

How does he create chances?

22 key passes (1.18/90), 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:
9%18%14%14%5%14%27%
chance creation (22)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 (12)from the right (10)of 22 key passes landing in the final thirdattacking ↑ toward goal
02

Can he finish?

34 shots · 3.69 xG · 6 goals (+2.31 vs xG). Mostly right-footed. Circle size = xG.

shots  34
on target  31
goals  6
xG  3.69
xG on target  4.03
xG / shot  0.109
Where he shoots from — click an area of the box
06

Where does he become vulnerable?

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

58
attacking third (cheap)
22
middle third
5
own third (dangerous)
Vision AI 68% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 0.78 danger-index/90 · 0.171 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?

357
passes attempted
48%
mostly backward
62%
mostly short
Direction
Forward
75 · 21%
Sideways
109 · 31%
Backward
173 · 48%
Length (completed)
Short (<15m)
181 · 62%
Medium
101 · 34%
Long (>30m)
11 · 4%
08

Where Does He Receive?

The zones where Arnaud Kalimuendo 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
15%
Primary
Left Half-Space, Attacking third
14%
Secondary
Left Wing, Attacking third
13%
Third
Right Wing, Attacking third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Arnaud Kalimuendo 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:
27214060501625242631519295532
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%4%8%14%7%0%1%6%6%6%2%1%2%5%10%16%11%
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.

22Key pass
2Cross
10Cutback
12Progressive
16Long ball
8Switch
By zone — where the pass started → where it landed
65Outside → Inside
116Inside → Inside
78Outside → Outside
34Inside → Outside
By direction
75Forward
173Backward
109Sideways
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 left wing, advancing it forward in the middle third — 3 passes worth 0.34 xT.
Where do his chances come from?
Of 22 key passes, his busiest route is a delivery where he plays inside from the left hs toward the central in the final third — 6 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 middle third: 33% of his 18 touches there are lost (6 times).
—2 touches · too few—2 touches · too few—5 touches · too few—2 touches · too few—7 touches · too few7%2/30 lost33%6/18 lost8%3/37 lost5%1/22 lost6%2/33 lost18%9/50 lost25%8/32 lost25%5/20 lost24%12/49 lost23%11/48 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 126 ball-carries, his dominant tendency is that he drives along the touchline (42%). He carries from outside into the middle 29 times and out toward the touchline 5 — a genuine inside forward who cuts in with the ball.
04

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
6 · 5%
Progressive / key pass
24 · 19%
Simple pass
69 · 55%
No clean link
27 · 21%
Of 126 carries, 5% flow straight into a shot of his own, 19% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 21% have no clean link to a next touch of his own close to where the carry ended.
13

Crosses & Cutbacks

2 crosses (0.11/90, 2 completed) and 10 cutbacks (0.54/90, 5 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.

16

How & where does he defend?

135 defensive actions across the season (7.2/90). 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 →
13
tackles · 54% won
4
interceptions · 0.2/90
37
recoveries · 2.0/90
10
clearances · 0.5/90
3
blocks
51
avg action height
36
won high (att 3rd)
65
middle third
34
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 54 proactive ball-wins (2.9/90), tackle success 54%. 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.

70
attacking-half actions · 3.76/90
15

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Arnaud Kalimuendo keep producing when the game is tight and the press is high? Tiers of ~10-11 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.3, 10m)
0.40
0.9
1.56
55%
Mid press (PPDA 6.2, 10m)
0.28
0.8
1.65
40%
Low press (PPDA 9.6, 11m)
0.24
0.3
0.44
57%
Team

Team context

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

17

Impact on the Team

Nottingham Forest's output per match with Arnaud Kalimuendo (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. A proper on-off model needs many more minutes.

WITH (3)
WITHOUT (5)
Δ
goals for /match
0.33
1.00
-0.67
xG for /match
1.41
1.78
-0.37
goals against /match
1.67
1.00
+0.67
points /match
0.00
1.20
-1.20
18

His Share of the Team

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

category
share
him / team
goals
11%
6 / 53
successful take-ons
5%
21 / 436
expected goals (xG)
5%
3.7 / 76.8
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 299 strikers 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.

False 965%Target man51%Poacher46%Pressing forward43%
Why False 9 65%: a weighted blend of creativity 75 (weight 30%) + progression 92 (weight 20%) + build-up 60 (weight 25%) + box threat 25 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
carrying, line-breaking, territory (wide vs central), retention, progression, press resistance, dribbling
Strong
receiving zones, creativity, final-third threat
Average
build-up, crossing, transition, ball-winning, through-balls
Weak
defensive aggression, box threat, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
94
Line-breaking
94
Territory (wide vs central)
94
Retention
94
Progression
92
Press resistance ~proxy
88
Dribbling
86
Receiving zones
79
Creativity
75
Final-third threat
72
Build-up
60
Crossing
56
Transition ~proxy
54
Ball-winning
54
Through-balls ~proxy
53
Defensive aggression
39
Box threat
25
Passing directness
4
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: 178 cm / 79 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.

Yan Diomande Real Madrid · La Liga · 181 cm / 76 kg
85%
Driven by: press resistance (13%), retention (11%), progression (10%). Different mechanism — Diomande more via through-balls, crossing.
Justin Njinmah Werder Bremen · Bundesliga · 184 cm / 75 kg
85%
Driven by: carrying (14%), territory (wide vs central) (14%), passing directness (12%). Different mechanism — Kalimuendo more via creativity, press resistance; Njinmah more via box threat.
Tijjani Noslin Lazio · Serie A · 180 cm / 75 kg
85%
Driven by: press resistance (13%), retention (12%), progression (11%). Different mechanism — Noslin more via through-balls, box threat.
Ange-Yoan Bonny Inter · Serie A · 189 cm / 83 kg
82%
Driven by: press resistance (17%), passing directness (14%), retention (14%). Different mechanism — Kalimuendo more via line-breaking, creativity; Bonny more via box threat, ball-winning.
Tidiam Gomis RBL · Bundesliga · 182 cm / 71 kg
82%
Driven by: carrying (16%), territory (wide vs central) (12%), passing directness (11%). Different mechanism — Kalimuendo more via press resistance, receiving zones; Gomis more via through-balls, box threat.
Ibrahim Mbaye Aston Villa · 185 cm / 65 kg
81%
Driven by: progression (12%), carrying (11%), line-breaking (9%). Different mechanism — Mbaye more via through-balls, ball-winning.
22

Summary

Arnaud Kalimuendo is a false 9: 6 goals from 3.69 xG (+2.31 vs expected), 34 shots, 9 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 31 matches (1677 minutes) this season — a reliable read. He profiles as a false 9 — best used in a system built around that identity. His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall false 9 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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