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 attacking third (36% of his 86 passes)
69% completion · 86× in 6/6 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
0% won · 4× in 3/6 matches
↓
PROGRESS CENTRAL
break a line through the middle
4.3 prog/90 · 17× in 5/6 matches
↓
SCREEN / WIN BALL
protect the back four
12.4 ball-wins/90 · 29× in 6/6 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
2.6 f3-entries/90 · 6× in 5/6 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.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
2 key passes (0.86/90), 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 (2)assist (0)% of the selected group's key passes originating in each zone
03
Where does he become vulnerable?
31 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.
8
attacking third (cheap)
10
middle third
13
own third (dangerous)
Vision AI 26% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 6.07 danger-index/90 · 0.457 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 inside from the left wing toward the central, advancing it forward in the middle third — 1 passes worth 0.36 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays inside from the left wing toward the central, advancing it forward in the middle 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: 52% of his 21 touches there are lost (11 times).
58 defensive actions across the season (24.9/90). 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 →
9
tackles · 56% won
5
interceptions · 2.1/90
15
recoveries · 6.4/90
10
clearances · 4.3/90
3
blocks
32
avg action height
6
won high (att 3rd)
20
middle third
32
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 29 proactive ball-wins (12.4/90), tackle success 56%. He defends mostly around the middle third.
06
Can he play under pressure?
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Adam Bakoune 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 ~2-2 matches — directional evidence, not proof.
press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.5, 2m)
85%
5.5
5.5
1.46
Mid press (PPDA 4.2, 2m)
67%
3.1
9.2
1.05
Low press (PPDA 4.2, 2m)
62%
6.7
3.3
0.75
Team
Team context
How much of the team runs through him, and what changes without him.
Monza's output per match with Adam Bakoune (6 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 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 (6)
WITHOUT (2)
Δ
goals against /match
2.00
3.00
-1.00
points /match
1.17
0.00
+1.17
goals for /match
1.83
2.00
-0.17
xG for /match
1.55
0.98
+0.57
08
His Share of the Team
Of everything Monza produced this season, the categories where the biggest share ran through Adam Bakoune specifically — his share of the team total, not a per-90 rate.
category
share
him / team
tackles
3%
9 / 266
interceptions
3%
5 / 178
clearances
3%
10 / 356
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 300 defensive mids 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.
aerial ability, marking, off-ball running — not in event data
Ball-winning
98
Territory (wide vs central)
95
Line-breaking
93
Through-balls ~proxy
91
Crossing
88
Progression
75
Transition ~proxy
60
Passing directness
59
Final-third threat
56
Defensive aggression
51
Receiving zones
43
Creativity
41
Build-up
37
Box threat
34
Press resistance ~proxy
23
Carrying
22
Retention
7
Dribbling
6
10
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: 192 cm / 75 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.
Lucien Agoumé Sevilla · La Liga · 185 cm / 72 kg
79%
Driven by: retention (14%), crossing (13%), ball-winning (10%). Different mechanism — Bakoune more via ball-winning; Agoumé more via passing directness, dribbling.
Marius Marin Pisa 25/26 · 180 cm / 72 kg
74%
Driven by: dribbling (16%), press resistance (15%), retention (14%). Different mechanism — Bakoune more via crossing, territory (wide vs central).
Martin Frese Hellas Verona 25/26 · 179 cm / 75 kg
72%
Driven by: press resistance (17%), retention (17%), dribbling (16%). Different mechanism — Bakoune more via ball-winning, crossing; Frese more via passing directness, box threat.
James Garner Everton · Premier League · 186 cm / 78 kg
69%
Driven by: ball-winning (16%), line-breaking (14%), crossing (14%). Different mechanism — Bakoune more via ball-winning; Garner more via carrying, dribbling.
Niels Nkounkou Nice · Ligue 1 · 184 cm / 75 kg
69%
Driven by: ball-winning (17%), retention (15%), territory (wide vs central) (12%). Different mechanism — Bakoune more via ball-winning, build-up; Nkounkou more via dribbling, carrying.
Stefano Sabelli Genoa · 176 cm / 70 kg
68%
Driven by: retention (16%), dribbling (13%), press resistance (12%). Different mechanism — Bakoune more via ball-winning; Sabelli more via final-third threat, passing directness.
11
Summary
Adam Bakoune is a ball-winning 6: 69% completion, 17 line-breaks and 4.3 progressive passes /90, resisting pressure with 0% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]
Based on 6 matches (210 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 — 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 ball-winning 6 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.