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Player reportLigue 1 2026

Noah Cadiou

Lorient
Ball-winning 6 (destroyer) DM
14.5 defensive actions/90
Capability Analysis
Breaking Pressure
only 199 pressured-passing actions across 4 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression38%vs 21 defensive mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.9424%
Line-breaking passes /901.0719%
Threat added by passing /900.96xT43%
Pass accuracy86.34%67%
Ball-Winning36%vs 21 defensive mids
"How actively does he win the ball back?"
Interceptions /901.0324%
Ball recoveries /905.2457%
Tackles /901.1310%
Duels won /900.7852%
defensive middeep-lying playmakerpress resistancescreening
744
minutes
8 apps
508
passes
84% completed
84%
pass completion
508 passes
41
progressive passes
5.0/90
120
defensive actions
14.5/90
20
tackles + interceptions
91% tackle win
50
recoveries
6.0/90
60
line-breaking passes
7.3/90
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
drop between the centre-backs — mostly in the middle third (55% of his 508 passes)
84% completion · 508× in 8/8 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
41% won · 17× in 7/8 matches
↓
PROGRESS CENTRAL
break a line through the middle
5.0 prog/90 · 60× in 8/8 matches
↓
SCREEN / WIN BALL
protect the back four
8.5 ball-wins/90 · 70× in 8/8 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
3.8 f3-entries/90 · 31× in 8/8 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
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
14.5
def actions / 90
44–85
pass range (matches)
10
clearances
Pass range = his fewest and most passes in any single match this season (44 at the low end, 85 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.

10

How dangerous are his carries?

Real ball-carries

134 tracked carries (16.2/90, 27 progressive, 1225m 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.

5%6%8%1%1%11%23%10%1%4%12%9%7%2%
progressivelateral/short% of his 134 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 38m
By zone — where the carry started → where it ended
5Outside → Inside
112Inside → Inside
13Outside → Outside
4Inside → Outside
First (45)Second (35)Third (32)Fourth (22)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).

11
tackle duels
10
won
1
beaten · 9%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 73%
OUTSIDE 27%
Tackle-duel location — 8 inside · 3 outside
Right Wing
0 · 0%
Right Half-Space
2 · 18%
Central
4 · 36%
Left Half-Space
2 · 18%
Left Wing
3 · 27%
Vision AI beaten in 1 of 11 tackle duels (9% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

Can he escape pressure on the ball? His carries/dribbles in tight central areas, by channel. Season rate: 2.06 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 82%
OUTSIDE 18%
Dribble location — 14 inside · 3 outside
Right Wing
2 · 12%
Right Half-Space
1 · 6%
Central
8 · 47%
Left Half-Space
5 · 29%
Left Wing
1 · 6%
Vision AI 82% of his carries are central — he receives and turns in congested midfield zones rather than out wide.
02

How does he build & move the ball?

How does he escape the first line?

12%
vertical passes
30×
7%
switches
19×
37%
carries
96×
44%
short circulation
114×
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 →RWRHSCLHSLWRW2665%1723%612%3RHS8435%2912%1038%3211%95%4C15916%2521%3429%4617%2717%27LHS1242%28%1024%3023%2844%54LW346%23%115%512%465%22FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: central areas in the middle third → the right half-space in the middle third — 3 progressive passes (11% of his progression) at -0.005 xT each. He works it wider.

Inward (33%) and outward (26%) progression are balanced — no strong lane bias.

11% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 9 line-breaking passes and 31 final-third entries, 0.0 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
2%5%5%6%3%0%2%11%17%12%6%0%3%6%9%6%5%0%
completedincomplete508 passes · any zone → any zone · own goal left, attacking →
508
passes
84%
completed
81
lost
Vision AIIn line with his 84% season completion rate.
03

How does he progress play?

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

41
progressive · 5.0/90
31
final-third entries · 3.8/90
3
box entries · 0.36/90
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.
11

How does he create chances?

4 key passes (0.48/90), 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:
25%25%25%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
05

Where does he become vulnerable?

91 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.

17
attacking third (cheap)
49
middle third
25
own third (dangerous)
Vision AI 19% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.59 danger-index/90 · 0.417 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

What is his passing profile?

508
passes attempted
44%
mostly forward
47%
mostly medium
Direction
Forward
221 · 44%
Sideways
156 · 31%
Backward
131 · 26%
Length (completed)
Short (<15m)
187 · 44%
Medium
199 · 47%
Long (>30m)
41 · 10%
07

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.

0.390.320.320.310.290.25
own goal left, attacking →
Highest-value routes (xT)
0.39
Central Mid third → Central Att third
2 passes
0.32
Central Mid third → Right Wing Att third
3 passes
0.32
Left Half-Space Mid third → Left Wing Att third
3 passes
0.31
Right Half-Space Mid third → Right Wing Att third
3 passes
0.29
Central Mid third → Right Half-Space Mid third
3 passes
0.25
Central Mid third → Central Mid third
3 passes
08

Where Does He Receive?

The zones where Noah Cadiou 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
Central, Middle third
15%
Secondary
Left Half-Space, Middle third
12%
Third
Right Half-Space, Middle 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 Noah Cadiou 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:
153346332841061896333611242732172
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.

2%5%5%6%3%0%2%11%17%12%6%0%3%6%9%6%5%0%
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.

4Key pass
1Cross
41Progressive
60Long ball
29Switch
By zone — where the pass started → where it landed
19Outside → Inside
226Inside → Inside
41Outside → Outside
141Inside → Outside
By direction
221Forward
131Backward
156Sideways
own goal left, attacking →
04

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 central, advancing it forward in the middle third — 2 passes worth 0.39 xT.
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he switches it out from the right hs to the right wing, 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 right wing in the middle third: 44% of his 9 touches there are lost (4 times).
29%4/14 lost12%3/26 lost9%4/46 lost20%10/50 lost15%2/13 lost44%4/9 lost13%8/62 lost11%13/115 lost19%15/77 lost17%3/18 lost0%0/11 lost36%4/11 lost21%4/19 lost19%5/27 lost20%2/10 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

120 defensive actions across the season (14.5/90). 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 →
11
tackles · 91% won
9
interceptions · 1.1/90
50
recoveries · 6.0/90
10
clearances · 1.2/90
5
blocks
36
avg action height
10
won high (att 3rd)
41
middle third
69
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 70 proactive ball-wins (8.5/90), tackle success 91%. He defends mostly around the middle third.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Noah Cadiou 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 4.0, 2m)
87%
4.2
7.5
0.71
Mid press (PPDA 4.4, 2m)
84%
3.3
2.9
0.83
Low press (PPDA 6.8, 4m)
83%
6.2
9.4
1.07
Team

Team context

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

15

Impact on the Team

Insufficient sample: Noah Cadiou played nearly every Lorient 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 Lorient produced this season, the categories where the biggest share ran through Noah Cadiou specifically — his share of the team total, not a per-90 rate.

category
share
him / team
zone-14 entries
20%
27 / 133
ball recoveries
16%
162 / 1016
final-third entries
15%
148 / 961
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 258 defensive mids 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.

Deep-lying playmaker72%Tempo controller72%Ball-winning 632%
Why Deep-lying playmaker 72%: a weighted blend of build-up 77 (weight 30%) + progression 64 (weight 30%) + retention 63 (weight 20%) + press resistance 60 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
carrying
Strong
transition, build-up, box threat
Average
passing directness, progression, retention, receiving zones, creativity, final-third threat, press resistance, dribbling, through-balls, crossing, line-breaking
Weak
ball-winning, defensive aggression, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
92
Transition ~proxy
80
Build-up
77
Box threat
71
Passing directness
65
Progression
64
Retention
63
Receiving zones
63
Creativity
62
Final-third threat
60
Press resistance ~proxy
60
Dribbling
60
Through-balls ~proxy
53
Crossing
51
Line-breaking
51
Ball-winning
36
Defensive aggression
21
Territory (wide vs central)
20
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: 191 cm / 84 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.

Pierre-Emile Højbjerg Marseille · 187 cm / 81 kg
74%
Driven by: transition (18%), carrying (16%), box threat (10%). Different mechanism — Højbjerg more via passing directness, defensive aggression.
Ellyes Skhiri Koln · Bundesliga · 185 cm / 74 kg
73%
Driven by: build-up (22%), carrying (19%), transition (15%). Different mechanism — Cadiou more via box threat; Skhiri more via defensive aggression, retention.
Nemanja Matic Sassuolo · Serie A · 194 cm / 85 kg
72%
Driven by: transition (21%), carrying (18%), build-up (14%). Different mechanism — Cadiou more via box threat; Matic more via territory (wide vs central), line-breaking.
Éderson Atalanta · Serie A · 183 cm / 83 kg
72%
Driven by: carrying (18%), transition (14%), box threat (13%). Different mechanism — Cadiou more via passing directness; Éderson more via receiving zones, defensive aggression.
Leon Goretzka Aston Villa · Premier League · 189 cm / 82 kg
70%
Driven by: carrying (19%), box threat (11%), territory (wide vs central) (9%). Different mechanism — Cadiou more via passing directness, transition; Goretzka more via receiving zones, retention.
Laurent Abergel Lorient 25/26 · 185 cm / 65 kg
66%
Driven by: defensive aggression (19%), build-up (18%), transition (17%). Different mechanism — Cadiou more via dribbling, box threat; Abergel more via passing directness.
20

Summary

Noah Cadiou is a deep-lying playmaker / tempo controller: 84% completion, 60 line-breaks and 5.0 progressive passes /90, resisting pressure with 41% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 8 matches (744 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a deep-lying playmaker / tempo controller — best used in a system built around that identity. His biggest room for growth is press resistance — even a modest improvement there would meaningfully lift his overall deep-lying playmaker 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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