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Player reportLigue 1 2025/26

Nathaniel Adjei

Lorient
Ball-playing centre-back CB
4.6 progressive passes/90 · 0.5 line-breaking/90
Capability Analysis
Aerial & Box Defending28%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 /904.9355%
Ball-Winning38%vs 43 centre-backs
"How actively does he win the ball back?"
Interceptions /901.1545%
Ball recoveries /903.2932%
Tackles /901.2636%
Duels won /901.3739%
Breaking Pressure
only 189 pressured-passing actions across 4 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression55%vs 43 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.2355%
Line-breaking passes /900.645%
Threat added by passing /900.91xT39%
Pass accuracy91.61%82%
Ball-Carrying42%vs 43 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /905.0945%
Carry distance /90118.87m39%
centre-backball-playing centre-backbuild-upline-breaking
919
minutes
15 apps
401
passes
92% completed
92%
pass completion
401 passes
47
progressive passes
4.6/90
37
line-breaking passes
3.6/90
128
defensive actions
12.5/90
19
tackles + interceptions
64% tackle win
52
clearances
5.1/90
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 401 passes)
92% completion · 401× in 13/13 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
4.6 prog/90 · 37× in 11/13 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 17× in 8/13 matches
↓
PROGRESS
entries into the final third
2.4/90 · 24× in 9/13 matches
Signature: Receive → Break A Line → Switch Play → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 4× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
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 →
31
passes / match
12.5
def actions / 90
4–76
pass range (matches)
52
clearances
Pass range = his fewest and most passes in any single match this season (4 at the low end, 76 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

119 tracked carries (11.7/90, 39 progressive, 1204m 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.

7%16%17%8%12%12%4%5%6%8%5%1%
progressivelateral/short% of his 119 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 30m
By zone — where the carry started → where it ended
14Outside → Inside
66Inside → Inside
31Outside → Outside
8Inside → Outside
First (37)Second (36)Third (24)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
7
won
4
beaten · 36%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 45%
OUTSIDE 55%
Tackle-duel location — 5 inside · 6 outside
Right Wing
2 · 18%
Right Half-Space
2 · 18%
Central
2 · 18%
Left Half-Space
1 · 9%
Left Wing
4 · 36%
Vision AI beaten in 4 of 11 tackle duels (36% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 2 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?

15%
vertical passes
41×
5%
switches
14×
35%
carries
98×
45%
short circulation
127×
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 →RWRHSCLHSLWRW10241%4236%3721%212%2RHS9824%2426%2543%427%7C557%420%1133%1829%1611%6LHS653%29%628%1820%1340%26LW472%117%836%1745%21FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the middle third → the right half-space in the final third — 4 progressive passes (15% of his progression) at 0.250 xT each. He moves it inside.

His progression is inward: 54% of progressive passes move the ball toward the middle versus 4% going wider — he cuts in rather than holding width.

10% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 5 line-breaking passes and 24 final-third entries, 4.9 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
5%18%16%11%1%0%1%7%9%3%0%4%7%8%6%2%0%
completedincomplete401 passes · any zone → any zone · own goal left, attacking →
401
passes
92%
completed
34
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.

47
progressive · 4.6/90
24
final-third entries · 2.4/90
1
box entries · 0.10/90
16
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 (0.10/90), 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?

35 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)
17
middle third
15
own third (dangerous)
Vision AI 9% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.70 danger-index/90 · 0.496 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?

401
passes attempted
45%
mostly forward
47%
mostly medium
Direction
Forward
180 · 45%
Sideways
131 · 33%
Backward
90 · 22%
Length (completed)
Short (<15m)
162 · 44%
Medium
173 · 47%
Long (>30m)
32 · 9%
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.

1.000.260.250.220.200.18
own goal left, attacking →
Highest-value routes (xT)
1.00
Right Wing Mid third → Right Half-Space Att third
4 passes
0.26
Left Half-Space Mid third → Left Wing Mid third
6 passes
0.25
Right Wing Mid third → Right Wing Att third
3 passes
0.22
Right Wing Def third → Right Wing Mid third
3 passes · 1 to a shot
0.20
Left Wing Def third → Left Half-Space Mid third
2 passes
0.18
Right Half-Space Mid third → Right Half-Space Att third
1 passes
06

Where Does He Receive?

The zones where Nathaniel Adjei 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
16%
Primary
Right Half-Space, Middle third
14%
Secondary
Right Wing, Defensive third
13%
Third
Right Wing, 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 Nathaniel Adjei 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:
15303124916293512241974664442
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.

5%18%16%11%1%0%1%7%9%3%0%4%7%8%6%2%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
2Cross
47Progressive
37Long ball
17Switch
By zone — where the pass started → where it landed
86Outside → Inside
156Inside → Inside
63Outside → Outside
62Inside → Outside
By direction
180Forward
90Backward
131Sideways
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 inside from the right wing toward the right hs, advancing it forward in the middle third — 4 passes worth 1.00 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays straight through 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 left half-space in the middle third: 15% of his 34 touches there are lost (5 times).
13%7/55 lost5%2/41 lost8%2/25 lost6%2/33 lost12%2/16 lost4%2/53 lost9%6/64 lost6%2/34 lost15%5/34 lost4%1/28 lost—6 touches · too few—1 touch · too few—0 touches · too few—5 touches · too few—6 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

128 defensive actions across the season (12.5/90). 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 · 64% won
8
interceptions · 0.8/90
22
recoveries · 2.2/90
52
clearances · 5.1/90
5
blocks
24
avg action height
2
won high (att 3rd)
34
middle third
92
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 41 proactive ball-wins (4.0/90), tackle success 64%. 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 Nathaniel Adjei 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 ~5-5 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.5, 5m)
85%
2.8
4.9
0.63
Mid press (PPDA 6.3, 5m)
95%
3.5
2.6
0.49
Low press (PPDA 9.7, 5m)
92%
6.5
3.7
1.01
Team

Team context

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

15

Impact on the Team

Lorient's output per match with Nathaniel Adjei (15 matches) versus without him (19 matches). 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 (15)
WITHOUT (19)
Δ
goals against /match
1.20
1.74
-0.54
points /match
1.60
1.11
+0.49
goals for /match
1.60
1.26
+0.34
xG for /match
1.18
0.76
+0.42
16

His Share of the Team

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

category
share
him / team
clearances
8%
90 / 1104
interceptions
6%
21 / 371
threat added by passing (xT)
4%
16.6 / 408.8
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 513 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-back69%Stopper centre-back37%
Why Ball-playing centre-back 69%: a weighted blend of retention 83 (weight 30%) + build-up 52 (weight 30%) + progression 50 (weight 25%) + press resistance 77 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
territory (wide vs central), retention, crossing, press resistance
Average
dribbling, through-balls, build-up, progression, carrying, line-breaking, ball-winning, final-third threat
Weak
creativity, transition, receiving zones, defensive aggression, box threat, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
84
Retention
83
Crossing
82
Press resistance ~proxy
77
Dribbling
68
Through-balls ~proxy
53
Build-up
52
Progression
50
Carrying
48
Line-breaking
47
Ball-winning
45
Final-third threat
43
Creativity
38
Transition ~proxy
36
Receiving zones
34
Defensive aggression
26
Box threat
24
Passing directness
18
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) 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.

Warmed Omari Hamburg · Bundesliga · 188 cm / 74 kg
82%
Driven by: defensive aggression (20%), box threat (14%), passing directness (12%). Different mechanism — Adjei more via retention; Omari more via through-balls.
Jeanuël Belocian Racing Santander · Bundesliga · 186 cm / 73 kg
77%
Driven by: press resistance (20%), retention (16%), defensive aggression (16%). Different mechanism — Adjei more via crossing, through-balls; Belocian more via receiving zones.
Sebastiano Luperto Cremonese · Serie A 25/26 · 191 cm / 75 kg
74%
Driven by: defensive aggression (26%), press resistance (13%), passing directness (12%). Different mechanism — Adjei more via crossing, territory (wide vs central); Luperto more via through-balls.
Kojo Peprah Oppong Nice 25/26 · 185 cm / 77 kg
69%
Driven by: press resistance (28%), retention (25%), dribbling (11%). Different mechanism — Adjei more via territory (wide vs central); Oppong more via box threat, passing directness.
Corrie Ndaba Lecce · Serie A · 188 cm / 82 kg
68%
Driven by: press resistance (13%), crossing (12%), territory (wide vs central) (12%). Different mechanism — Adjei more via retention, build-up; Ndaba more via dribbling, through-balls.
Toti Gomes Wolves · Premier League 25/26 · 187 cm / 72 kg
65%
Driven by: defensive aggression (24%), press resistance (17%), territory (wide vs central) (13%). Different mechanism — Adjei more via crossing, retention; Gomes more via box threat.
20

Summary

Nathaniel Adjei is a ball-playing centre-back: 92% pass completion, 37 line-breaking passes and 4.6 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 15 matches (919 minutes) — a reasonable read, still building toward a full-season sample. 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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