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Player reportSerie A 2026

M'Bala Nzola

Cagliari
Penalty-box poacher ST
3.9 shots/90 · 0.25 xG per shot — shoots from high-value spots · 0.96 xG/90
strikertarget manbox threatfinishing
140
minutes
3 apps
1
goals
1.50 xG
1.5
xG
6 shots
6
shots
0.25 xG/shot
2
box entries
1.29/90
1
key passes
0.64/90
4
dribbles
25% won
80%
pass completion
51 passes
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. M'Bala Nzola has played 3 matches (140 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.

LINK
lay-off and combine
1 key passes · 80% completion · 51× in 3/3 matches
↓
FINISH
shoot from central zones
1.50 xG · 6× in 2/3 matches
Signature: Link → Finish — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 2× (low confidence, shown as a number only, no tactical conclusion drawn); convert — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
In possession

In possession

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

04

How dangerous are his carries?

Real ball-carries

13 tracked carries (8.4/90, 3 progressive, 150m 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.

38%15%8%15%8%8%8%
progressivelateral/short% of his 13 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 34m
By zone — where the carry started → where it ended
1Outside → Inside
9Inside → Inside
3Outside → Outside
First (13)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 4 dribbles attempted this season — too little volume to map a location pattern.

02

How does he create chances?

1 key passes (0.64/90), 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 (1)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 (0)from the right (1)of 1 key passes landing in the final thirdattacking ↑ toward goal
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 →
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he switches from the right hs to the left hs in the final 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 middle third: 24% of his 17 touches there are lost (4 times).
—0 touches · too few—0 touches · too few—0 touches · too few—1 touch · too few—0 touches · too few—4 touches · too few—7 touches · too few24%4/17 lost—3 touches · too few—3 touches · too few—6 touches · too few—2 touches · too few—3 touches · too few—2 touches · too few—3 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

05

How & where does he defend?

15 defensive actions across the season (9.6/90). 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 →
0
tackles · 0% won
0
interceptions · 0.0/90
3
recoveries · 1.9/90
0
clearances · 0.0/90
0
blocks
56
avg action height
4
won high (att 3rd)
11
middle third
0
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 3 proactive ball-wins (1.9/90), tackle success 0%. 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.

11
attacking-half actions · 7.07/90
Team

Team context

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

06

Impact on the Team

Cagliari's output per match with M'Bala Nzola (3 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (3)
WITHOUT (6)
Δ
goals for /match
1.00
0.83
+0.17
xG for /match
1.72
0.07
+1.65
goals against /match
3.00
0.67
+2.33
points /match
0.33
2.00
-1.67
07

His Share of the Team

Of everything Cagliari produced this season, the categories where the biggest share ran through M'Bala Nzola specifically — his share of the team total, not a per-90 rate.

category
share
him / team
expected goals (xG)
24%
8.8 / 37.3
shots
13%
45 / 348
successful take-ons
12%
20 / 173
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

08

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.

Target man71%Poacher70%False 968%Transition runner66%
Why Target man 71%: a weighted blend of box threat 65 (weight 50%) + final-third threat 63 (weight 30%) + retention 81 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
carrying
Strong
retention, dribbling, press resistance, transition
Average
box threat, creativity, build-up, progression, final-third threat, line-breaking, receiving zones, crossing, ball-winning, territory (wide vs central), defensive aggression, through-balls
Weak
passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
90
Retention
81
Dribbling
79
Press resistance ~proxy
77
Transition ~proxy
75
Box threat
65
Creativity
64
Build-up
64
Progression
63
Final-third threat
63
Line-breaking
62
Receiving zones
62
Crossing
62
Ball-winning
60
Territory (wide vs central)
58
Defensive aggression
41
Through-balls ~proxy
41
Passing directness
28
09

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: 185 cm / 91 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Ange-Yoan Bonny Inter · 189 cm / 83 kg
79%
Driven by: press resistance (19%), carrying (17%), retention (15%). Different mechanism — Nzola more via passing directness, transition; Bonny more via through-balls, territory (wide vs central).
Adam Hlozek Hoffenheim · Bundesliga · 188 cm / 84 kg
78%
Driven by: carrying (16%), press resistance (16%), dribbling (13%). Different mechanism — Nzola more via crossing; Hlozek more via through-balls, box threat.
Christian Pulisic AC Milan · 178 cm / 73 kg
75%
Driven by: carrying (15%), retention (11%), press resistance (10%). Different mechanism — Pulisic more via through-balls, receiving zones.
Tijjani Noslin Lazio · 180 cm / 75 kg
75%
Driven by: carrying (15%), press resistance (14%), retention (13%). Different mechanism — Noslin more via through-balls, territory (wide vs central).
Désiré Doué PSG · Ligue 1 · 181 cm / 79 kg
75%
Driven by: carrying (14%), press resistance (13%), retention (11%). Different mechanism — Doué more via through-balls, territory (wide vs central).
Arnaud Kalimuendo Nottingham Forest · Premier League · 178 cm / 79 kg
74%
Driven by: press resistance (17%), carrying (17%), retention (16%). Different mechanism — Nzola more via box threat, passing directness; Kalimuendo more via territory (wide vs central), line-breaking.
10

Summary

M'Bala Nzola is a target man / poacher: 1 goals from 1.50 xG (-0.50 vs expected), 6 shots, 2 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 3 matches (140 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a target man / poacher — best used in a system built around that identity. His biggest room for growth is final-third threat — even a modest improvement there would meaningfully lift his overall target man profile.
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