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Player reportLigue 1 2026

Nathan Ngoy

Lille
Ball-playing centre-back CB
5.7 progressive passes/90 · 0.3 line-breaking/90
Capability Analysis
Aerial & Box Defending14%vs 43 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /903.827%
Ball-Winning42%vs 43 centre-backs
"How actively does he win the ball back?"
Interceptions /901.2657%
Ball recoveries /903.8861%
Tackles /901.0727%
Duels won /901.0423%
Breaking Pressure
only 107 pressured-passing actions across 3 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression42%vs 43 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.1620%
Line-breaking passes /900.4634%
Threat added by passing /900.91xT36%
Pass accuracy91.44%80%
Ball-Carrying82%vs 43 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /907.9584%
Carry distance /90172.78m80%
centre-backball-playing centre-backbuild-upline-breaking
663
minutes
7 apps
447
passes
92% completed
92%
pass completion
447 passes
42
progressive passes
5.7/90
35
line-breaking passes
4.8/90
106
defensive actions
14.4/90
16
tackles + interceptions
83% tackle win
35
clearances
4.8/90
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 (53% of his 447 passes)
92% completion · 447× in 7/7 matches
↓
CARRY OUT
step into midfield to commit a presser
7 carries · 14× in 5/7 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
5.7 prog/90 · 35× in 7/7 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 14× in 5/7 matches
↓
PROGRESS
entries into the final third
2.4/90 · 18× in 6/7 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 →
64
passes / match
14.4
def actions / 90
28–99
pass range (matches)
35
clearances
Pass range = his fewest and most passes in any single match this season (28 at the low end, 99 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.

08

How dangerous are his carries?

Real ball-carries

151 tracked carries (20.5/90, 35 progressive, 1353m 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.

11%19%9%3%1%1%24%21%9%1%1%
progressivelateral/short% of his 151 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 32m
By zone — where the carry started → where it ended
8Outside → Inside
123Inside → Inside
14Outside → Outside
6Inside → Outside
First (58)Second (33)Third (30)Fourth (30)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).

6
tackle duels
5
won
1
beaten · 17%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 67%
OUTSIDE 33%
Tackle-duel location — 4 inside · 2 outside
Right Wing
2 · 33%
Right Half-Space
2 · 33%
Central
1 · 17%
Left Half-Space
1 · 17%
Left Wing
0 · 0%
Vision AI beaten in 1 of 6 tackle duels (17% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 7 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.

02

How does he build & move the ball?

How does he escape the first line?

11%
vertical passes
38×
3%
switches
12×
38%
carries
131×
48%
short circulation
166×
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 →RWRHSCLHSLWRW5730%1737%2132%182%1RHS19137%7113%2436%6914%261%1C14616%2420%2925%3733%485%8LHS1650%812%238%6LW2100%2FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right half-space in the middle third → the right half-space in the middle third — 2 progressive passes (14% of his progression) at 0.036 xT each. He keeps it in the same lane.

His progression is inward: 36% of progressive passes move the ball toward the middle versus 14% going wider — he cuts in rather than holding width.

8% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 2 line-breaking passes and 18 final-third entries, 4.0 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
6%20%16%6%1%1%18%21%8%0%0%0%1%0%0%
completedincomplete447 passes · any zone → any zone · own goal left, attacking →
447
passes
92%
completed
35
lost
Vision AIIn line with his 92% season completion rate.
04

How does he progress play?

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

42
progressive · 5.7/90
18
final-third entries · 2.4/90
0
box entries · 0.00/90
19
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?

1 key passes (0.14/90), 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
09

Where does he become vulnerable?

38 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)
13
middle third
22
own third (dangerous)
Vision AI 8% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.82 danger-index/90 · 0.547 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?

447
passes attempted
44%
mostly forward
64%
mostly medium
Direction
Forward
195 · 44%
Sideways
178 · 40%
Backward
74 · 17%
Length (completed)
Short (<15m)
132 · 32%
Medium
262 · 64%
Long (>30m)
18 · 4%
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.

0.450.180.180.170.170.13
own goal left, attacking →
Highest-value routes (xT)
0.45
Right Half-Space Mid third → Right Wing Mid third
9 passes
0.18
Right Half-Space Mid third → Right Half-Space Mid third
2 passes
0.18
Right Half-Space Def third → Right Half-Space Mid third
3 passes
0.17
Right Half-Space Mid third → Right Wing Att third
3 passes
0.17
Right Half-Space Def third → Central Mid third
2 passes
0.13
Central Mid third → Right Wing Mid third
3 passes
06

Where Does He Receive?

The zones where Nathan Ngoy 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
23%
Primary
Right Half-Space, Defensive third
22%
Secondary
Central, Middle third
21%
Third
Right Half-Space, Middle third
These are the zones where he collected the ball most.
07

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Nathan Ngoy 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:
2522479953413299074287
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.

6%20%16%6%1%1%18%21%8%0%0%0%1%0%0%
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.

1Key pass
42Progressive
35Long ball
14Switch
By zone — where the pass started → where it landed
40Outside → Inside
243Inside → Inside
19Outside → Outside
110Inside → Outside
By direction
195Forward
74Backward
178Sideways
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 right hs to the right wing in the middle third — 9 passes worth 0.45 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays straight through the central 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 right wing in the defensive third: 42% of his 36 touches there are lost (15 times).
42%15/36 lost6%6/106 lost2%1/55 lost—6 touches · too few—2 touches · too few3%1/35 lost5%5/94 lost7%7/97 lost0%0/10 lost—0 touches · too few—2 touches · too few—2 touches · too few—2 touches · too few—0 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

106 defensive actions across the season (14.4/90). 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 →
6
tackles · 83% won
10
interceptions · 1.4/90
26
recoveries · 3.5/90
35
clearances · 4.8/90
2
blocks
27
avg action height
6
won high (att 3rd)
26
middle third
74
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 42 proactive ball-wins (5.7/90), tackle success 83%. 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 Nathan Ngoy 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 ~2-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.6, 2m)
86%
3.3
3.8
0.47
Mid press (PPDA 4.6, 2m)
87%
6.7
7.2
0.76
Low press (PPDA 8.0, 3m)
96%
6.7
3.8
1.20
Team

Team context

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

15

Impact on the Team

Lille's output per match with Nathan Ngoy (7 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 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 (7)
WITHOUT (1)
Δ
goals against /match
0.86
0.00
+0.86
points /match
1.71
3.00
-1.29
goals for /match
1.43
1.00
+0.43
xG for /match
1.16
0.00
+1.16
16

His Share of the Team

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

category
share
him / team
clearances
20%
139 / 688
interceptions
16%
46 / 287
ball recoveries
10%
142 / 1380
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 517 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.

Ball-playing centre-back72%Stopper centre-back46%
Why Ball-playing centre-back 72%: a weighted blend of retention 77 (weight 30%) + build-up 70 (weight 30%) + progression 47 (weight 25%) + press resistance 70 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
carrying
Strong
retention, dribbling
Average
press resistance, build-up, box threat, transition, creativity, ball-winning, final-third threat, progression, crossing, through-balls, territory (wide vs central)
Weak
line-breaking, defensive aggression, passing directness, receiving zones
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
85
Retention
77
Dribbling
71
Press resistance ~proxy
70
Build-up
70
Box threat
62
Transition ~proxy
62
Creativity
51
Ball-winning
50
Final-third threat
49
Progression
47
Crossing
47
Through-balls ~proxy
46
Territory (wide vs central)
43
Line-breaking
34
Defensive aggression
32
Passing directness
25
Receiving zones
23
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: 184 cm / 78 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 Ligue 1, Bundesliga, La Liga, Premier League 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.

Jahmai Simpson-Pusey Koln · Bundesliga · 187 cm / 79 kg
80%
Driven by: carrying (19%), defensive aggression (16%), press resistance (13%). Different mechanism — Ngoy more via territory (wide vs central); Simpson-Pusey more via through-balls.
Koni De Winter AC Milan · Serie A · 191 cm / 78 kg
79%
Driven by: carrying (21%), build-up (16%), retention (15%). Different mechanism — Ngoy more via through-balls, dribbling.
Ismaël Doukouré Strasbourg · 183 cm / 76 kg
76%
Driven by: press resistance (17%), carrying (15%), retention (14%). Different mechanism — Ngoy more via box threat, ball-winning; Doukouré more via receiving zones.
Torbjørn Heggem Bologna · Serie A · 192 cm / 80 kg
76%
Driven by: press resistance (15%), retention (14%), receiving zones (13%). Different mechanism — Ngoy more via final-third threat, creativity.
Ángel Recio Malaga · La Liga · 185 cm / 80 kg
74%
Driven by: retention (21%), press resistance (19%), carrying (15%). Different mechanism — Ngoy more via creativity, ball-winning; Recio more via passing directness.
Kojo Peprah Oppong Nice 25/26 · 185 cm / 77 kg
73%
Driven by: press resistance (23%), retention (23%), dribbling (14%). Different mechanism — Ngoy more via carrying; Oppong more via receiving zones, passing directness.
20

Summary

Nathan Ngoy is a ball-playing centre-back: 92% pass completion, 35 line-breaking passes and 5.7 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 7 matches (663 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall ball-playing 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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