Thin sample this season. Luck Zogbé has played 1 match (79 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.
RECEIVE
in the first line of build-up — mostly in the middle third (59% of his 41 passes)
73% completion · 41× in 1/1 matches
↓
CARRY OUT
step into midfield to commit a presser
3 carries · 6× in 1/1 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
5.7 prog/90 · 12× in 1/1 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 4× in 1/1 matches
↓
PROGRESS
entries into the final third
3.4/90 · 3× in 1/1 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.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
1 key passes (1.14/90), 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:
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
02
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 right wing, advancing it forward in the defensive third — 2 passes worth 0.12 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the right hs toward 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: 44% of his 9 touches there are lost (4 times).
17 defensive actions across the season (19.4/90). 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 →
1
tackles · 0% won
4
interceptions · 4.6/90
2
recoveries · 2.3/90
3
clearances · 3.4/90
0
blocks
29
avg action height
2
won high (att 3rd)
3
middle third
12
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 7 proactive ball-wins (8.0/90), tackle success 0%. He defends deep, protecting his box — a last-line stopper.
Team
Team context
How much of the team runs through him, and what changes without him.
Brest's output per match with Luck Zogbé (1 matches) versus without him (7 matches). Insufficient evidence — the without-sample is only 7 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 (1)
WITHOUT (7)
Δ
goals against /match
1.00
1.57
-0.57
points /match
3.00
0.86
+2.14
goals for /match
2.00
1.71
+0.29
xG for /match
2.42
1.78
+0.64
06
His Share of the Team
Of everything Brest produced this season, the categories where the biggest share ran through Luck Zogbé specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
3%
24 / 794
progressive passes
2%
32 / 1308
interceptions
2%
7 / 371
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 586 centre-backs in the pool (min 180 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.
Stopper centre-back59%Ball-playing centre-back19%
Why Stopper centre-back 59%: a weighted blend of defensive aggression 75 (weight 35%) + ball-winning 62 (weight 40%) + transition 28 (weight 10%) + retention 6 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
97
Through-balls ~proxy
91
Creativity
78
Line-breaking
77
Crossing
76
Defensive aggression
75
Final-third threat
73
Progression
68
Box threat
67
Receiving zones
64
Ball-winning
62
Dribbling
60
Transition ~proxy
28
Carrying
28
Press resistance ~proxy
28
Passing directness
16
Build-up
14
Retention
6
08
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: 178 cm / 70 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.
Adrià Pedrosa Rayo Vallecano · La Liga · 172 cm / 69 kg
Driven by: build-up (13%), retention (11%), territory (wide vs central) (10%). Different mechanism — Murillo more via box threat.
Trai Hume Sunderland · Premier League · 180 cm / 75 kg
92%
Driven by: build-up (17%), retention (14%), territory (wide vs central) (8%). Different mechanism — Zogbé more via dribbling, carrying.
Neco Williams Nottingham Forest · Premier League · 183 cm / 72 kg
90%
Driven by: build-up (14%), retention (13%), territory (wide vs central) (12%). Different mechanism — Zogbé more via defensive aggression; Williams more via ball-winning.
Ferdi Kadioglu Brighton · Premier League · 174 cm / 68 kg
89%
Driven by: build-up (14%), territory (wide vs central) (11%), passing directness (9%). Different mechanism — Kadioglu more via carrying, receiving zones.
Keane Lewis-Potter Brentford · Premier League · 170 cm / 67 kg
88%
Driven by: build-up (16%), retention (13%), territory (wide vs central) (10%). Different mechanism — Zogbé more via ball-winning, defensive aggression; Lewis-Potter more via box threat.
09
Summary
Luck Zogbé is a stopper centre-back: 73% pass completion, 12 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 1 matches (79 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity.
His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper 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.