العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportSerie A 2025/26

M'Bala Nzola

Cagliari
Penalty-box poacher ST
2.3 shots/90 · 0.20 xG per shot — shoots from high-value spots · 0.45 xG/90
strikertarget manbox threatfinishing
1772
minutes
33 apps
5
goals
8.78 xG
8.8
xG
45 shots
45
shots
0.20 xG/shot
8
box entries
0.41/90
18
key passes
0.91/90
48
dribbles
42% won
78%
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.

LINK
lay-off and combine
18 key passes · 78% completion · 357× in 33/33 matches
↓
FINISH
shoot from central zones
8.78 xG · 45× in 19/33 matches
↓
CONVERT
goals vs expected
5 goals (-3.8 vs xG) · 5× in 19/33 matches
Signature: Link → Finish → Convert — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 8× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
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 →
11
passes / match
2.1
dribbles / match
2–21
pass range (matches)
1–5
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (2 at the low end, 21 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

132 tracked carries (6.7/90, 36 progressive, 1467m 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.

1%2%8%17%15%11%2%6%11%8%1%2%3%8%5%
progressivelateral/short% of his 132 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 36m
By zone — where the carry started → where it ended
17Outside → Inside
62Inside → Inside
33Outside → Outside
20Inside → Outside
First (40)Second (40)Third (29)Fourth (23)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: 2.44 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 40%
OUTSIDE 60%
Dribble location — 19 inside · 29 outside
Right Wing
17 · 35%
Right Half-Space
11 · 23%
Central
6 · 12%
Left Half-Space
2 · 4%
Left Wing
12 · 25%
Vision AI His touches are spread wide — a roaming forward.
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 →RWRHSCLHSLWRW5971%4220%127%42%1RHS7621%1641%3132%245%41%1C876%514%1255%4816%149%8LHS343%115%541%1441%14LW2218%482%18FROM
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 — 3 progressive passes (21% of his progression) at 0.143 xT each. He moves it inside.

His progression is inward: 71% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 5% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 9 line-breaking passes and 22 final-third entries, -5.5 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%2%6%12%13%8%1%1%10%13%10%3%1%4%4%8%5%
completedincomplete357 passes · any zone → any zone · own goal left, attacking →
357
passes
78%
completed
79
lost
Vision AIIn line with his 78% season completion rate.
07

How does he create chances?

18 key passes (0.91/90), 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:
11%33%17%22%6%11%
chance creation (18)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 (6)from the right (12)of 18 key passes landing in the final thirdattacking ↑ toward goal
02

Can he finish?

45 shots · 8.78 xG · 5 goals (-3.78 vs xG). Mostly left-footed. Circle size = xG.

shots  45
on target  26
goals  5
xG  8.78
xG on target  8.03
xG / shot  0.195
Where he shoots from — click an area of the box
06

Where does he become vulnerable?

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

59
attacking third (cheap)
43
middle third
5
own third (dangerous)
Vision AI 55% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.20 danger-index/90 · 0.222 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
38%
mostly sideways
67%
mostly short
Direction
Forward
94 · 26%
Sideways
137 · 38%
Backward
126 · 35%
Length (completed)
Short (<15m)
186 · 67%
Medium
78 · 28%
Long (>30m)
14 · 5%
08

Where Does He Receive?

The zones where M'Bala Nzola 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
18%
Primary
Central, Middle third
14%
Secondary
Right Half-Space, Attacking third
11%
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 M'Bala Nzola 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:
41615312525374849422725485737
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%2%6%12%13%8%1%1%10%13%10%3%1%4%4%8%5%
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.

18Key pass
4Cross
3Cutback
11Progressive
15Long ball
13Switch
By zone — where the pass started → where it landed
21Outside → Inside
152Inside → Inside
60Outside → Outside
45Inside → Outside
By direction
94Forward
126Backward
137Sideways
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 →
Where do his chances come from?
Of 18 key passes, his busiest route is a delivery where he plays inside from the right hs 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 half-space in the final third: 41% of his 22 touches there are lost (9 times).
—5 touches · too few—3 touches · too few—7 touches · too few—2 touches · too few—1 touch · too few23%7/31 lost17%7/41 lost20%14/71 lost17%4/23 lost25%2/8 lost12%4/34 lost20%10/49 lost31%11/36 lost41%9/22 lost33%8/24 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 132 ball-carries, his dominant tendency is that he carries through central areas (47%). He carries from outside into the middle 17 times and out toward the touchline 20 — balanced between cutting in and holding width.
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
10 · 8%
Progressive / key pass
8 · 6%
Simple pass
72 · 55%
No clean link
42 · 32%
Of 132 carries, 8% flow straight into a shot of his own, 6% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 32% have no clean link to a next touch of his own close to where the carry ended.
13

Crosses & Cutbacks

4 crosses (0.20/90, 2 completed) and 3 cutbacks (0.15/90, 3 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?

195 defensive actions across the season (9.9/90). 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 →
8
tackles · 50% won
3
interceptions · 0.2/90
74
recoveries · 3.8/90
12
clearances · 0.6/90
6
blocks
53
avg action height
52
won high (att 3rd)
110
middle third
33
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 85 proactive ball-wins (4.3/90), tackle success 50%. 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.

120
attacking-half actions · 6.09/90
15

Against Different Pressing Intensities

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

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.7, 11m)
0.29
0.7
1.13
38%
Mid press (PPDA 5.7, 11m)
0.23
0.4
0.95
36%
Low press (PPDA 10.3, 11m)
0.19
0.6
0.57
54%
Team

Team context

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

17

Impact on the Team

Insufficient sample: M'Bala Nzola played nearly every Cagliari 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 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)
21%
8.8 / 42.2
goals
20%
5 / 25
zone-14 entries
12%
17 / 142
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.

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
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: 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.
22

Summary

M'Bala Nzola is a target man / poacher: 5 goals from 8.78 xG (-3.78 vs expected), 45 shots, 8 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 33 matches (1772 minutes) this season — a reliable read. 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.
✨ 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.

Vision AI · building report