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Player reportSerie A 2026

Manuel Akanji

Inter
Ball-playing centre-back CB
6.4 progressive passes/90 · 0.7 line-breaking/90
Capability Analysis
Aerial & Box Defending10%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 /903.3719%
Ball-Winning58%vs 43 centre-backs
"How actively does he win the ball back?"
Interceptions /901.2867%
Ball recoveries /903.8572%
Tackles /901.5649%
Duels won /901.7642%
Breaking Pressure
no action recorded in any high-press match yet
Progression87%vs 43 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /904.6681%
Line-breaking passes /901.4191%
Threat added by passing /901.28xT84%
Pass accuracy92.51%93%
Ball-Carrying80%vs 43 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /906.6786%
Carry distance /90145.57m74%
centre-backstopper centre-backbuild-upline-breaking
617
minutes
7 apps
480
passes
95% completed
95%
pass completion
480 passes
44
progressive passes
6.4/90
29
line-breaking passes
4.2/90
118
defensive actions
17.2/90
28
tackles + interceptions
57% tackle win
27
clearances
3.9/90
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 (60% of his 480 passes)
95% completion · 480× in 7/7 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
6.4 prog/90 · 29× in 7/7 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 24× in 7/7 matches
↓
PROGRESS
entries into the final third
4.8/90 · 33× in 7/7 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 — 2× (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 →
69
passes / match
17.2
def actions / 90
56–91
pass range (matches)
27
clearances
Pass range = his fewest and most passes in any single match this season (56 at the low end, 91 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

91 tracked carries (13.3/90, 20 progressive, 773m 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.

4%4%9%7%1%4%23%19%8%3%3%2%9%3%
progressivelateral/short% of his 91 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 28m
By zone — where the carry started → where it ended
5Outside → Inside
73Inside → Inside
6Outside → Outside
7Inside → Outside
First (36)Second (19)Third (19)Fourth (17)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).

14
tackle duels
8
won
6
beaten · 43%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 43%
OUTSIDE 57%
Tackle-duel location — 6 inside · 8 outside
Right Wing
2 · 14%
Right Half-Space
1 · 7%
Central
3 · 21%
Left Half-Space
2 · 14%
Left Wing
6 · 43%
Vision AI beaten in 6 of 14 tackle duels (43% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 1 dribble 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
34×
5%
switches
17×
23%
carries
71×
61%
short circulation
191×
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 →RWRHSCLHSLWRW3757%2127%1016%6RHS13025%3222%2838%4915%192%2C18611%2024%4523%4331%5811%20LHS784%335%2723%1838%30LW2339%926%635%8FROM
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 — 4 progressive passes (14% of his progression) at 0.032 xT each. He keeps it in the same lane.

His progression is inward: 32% of progressive passes move the ball toward the middle versus 14% going wider — he cuts in rather than holding width.

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

Quality behind the volume: 5 line-breaking passes and 33 final-third entries, 6.0 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
3%7%9%10%2%0%3%16%20%10%1%0%2%4%5%5%2%
completedincomplete480 passes · any zone → any zone · own goal left, attacking →
480
passes
95%
completed
26
lost
Vision AIIn line with his 95% season completion rate.
04

How does he progress play?

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

44
progressive · 6.4/90
33
final-third entries · 4.8/90
3
box entries · 0.44/90
22
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?

5 key passes (0.73/90), 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:
20%20%20%20%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
10

Where does he become vulnerable?

27 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.

1
attacking third (cheap)
18
middle third
8
own third (dangerous)
Vision AI 4% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.87 danger-index/90 · 0.476 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?

480
passes attempted
44%
mostly sideways
51%
mostly medium
Direction
Forward
200 · 42%
Sideways
212 · 44%
Backward
68 · 14%
Length (completed)
Short (<15m)
189 · 42%
Medium
232 · 51%
Long (>30m)
33 · 7%
09

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.

0.560.380.300.270.270.21
own goal left, attacking →
Highest-value routes (xT)
0.56
Right Half-Space Mid third → Right Half-Space Att third
3 passes
0.38
Right Wing Mid third → Right Half-Space Att third
1 passes
0.30
Right Half-Space Def third → Right Half-Space Mid third
4 passes
0.27
Right Half-Space Mid third → Right Half-Space Mid third
3 passes
0.27
Right Half-Space Mid third → Left Wing Att third
2 passes
0.21
Central Mid third → Central Mid third
2 passes
06

Where Does He Receive?

The zones where Manuel Akanji 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
17%
Secondary
Right Half-Space, Middle third
15%
Third
Central, Defensive 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 Manuel Akanji 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:
92024259147895493913344548131
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.

3%7%9%10%2%0%3%16%20%10%1%0%2%4%5%5%2%
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.

5Key pass
2Cross
44Progressive
29Long ball
24Switch
By zone — where the pass started → where it landed
31Outside → Inside
290Inside → Inside
29Outside → Outside
104Inside → Outside
By direction
200Forward
68Backward
212Sideways
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 straight through the right hs, advancing it forward in the middle third — 3 passes worth 0.56 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he switches from the right hs to the left hs 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 middle third: 15% of his 27 touches there are lost (4 times).
12%1/8 lost6%3/50 lost3%2/74 lost4%1/28 lost—7 touches · too few15%4/27 lost8%7/84 lost1%1/111 lost11%6/53 lost0%0/11 lost—7 touches · too few—6 touches · too few—4 touches · too few—4 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?

118 defensive actions across the season (17.2/90). 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 →
14
tackles · 57% won
14
interceptions · 2.0/90
24
recoveries · 3.5/90
27
clearances · 3.9/90
6
blocks
37
avg action height
10
won high (att 3rd)
59
middle third
49
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 52 proactive ball-wins (7.6/90), tackle success 57%. 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 Manuel Akanji 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 5.7, 2m)
92%
6.2
4.3
1.00
Mid press (PPDA 8.4, 2m)
93%
8.3
4.7
1.58
Low press (PPDA 12.3, 3m)
98%
5.3
3.9
1.34
Team

Team context

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

15

Impact on the Team

Inter's output per match with Manuel Akanji (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
1.43
0.00
+1.43
points /match
2.71
3.00
-0.29
goals for /match
2.86
3.00
-0.14
xG for /match
2.64
2.20
+0.44
16

His Share of the Team

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

category
share
him / team
clearances
15%
134 / 884
interceptions
15%
51 / 346
tackles
8%
62 / 766
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.

Stopper centre-back75%Ball-playing centre-back74%
Why Stopper centre-back 75%: a weighted blend of ball-winning 67 (weight 40%) + defensive aggression 68 (weight 35%) + retention 74 (weight 15%) + transition 66 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, line-breaking, final-third threat, progression, through-balls, box threat, creativity
Strong
crossing, retention, carrying
Average
defensive aggression, ball-winning, transition, build-up, territory (wide vs central), press resistance
Weak
passing directness, dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
97
Line-breaking
94
Final-third threat
90
Progression
90
Through-balls ~proxy
89
Box threat
89
Creativity
88
Crossing
80
Retention
74
Carrying
72
Defensive aggression
68
Ball-winning
67
Transition ~proxy
66
Build-up
62
Territory (wide vs central)
42
Press resistance ~proxy
42
Passing directness
25
Dribbling
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: 188 cm / 91 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.

Eric García Barcelona · La Liga · 180 cm / 77 kg
90%
Driven by: creativity (12%), receiving zones (12%), final-third threat (11%). Different mechanism — García more via territory (wide vs central), passing directness.
Ramy Bensebaini Borussia Dortmund · Bundesliga · 187 cm / 82 kg
87%
Driven by: progression (13%), final-third threat (13%), receiving zones (12%). Different mechanism — Akanji more via retention, creativity; Bensebaini more via dribbling, territory (wide vs central).
Beraldo PSG · Ligue 1 · 186 cm / 78 kg
84%
Driven by: receiving zones (15%), final-third threat (12%), box threat (11%). Different mechanism — Akanji more via carrying, territory (wide vs central); Beraldo more via passing directness.
Jan Paul van Hecke Tottenham · Premier League · 189 cm / 79 kg
82%
Driven by: progression (15%), receiving zones (13%), final-third threat (12%). Different mechanism — Akanji more via retention, crossing; Hecke more via passing directness.
Tom Bischof Bayern · Bundesliga · 176 cm / 66 kg
81%
Driven by: creativity (17%), receiving zones (13%), box threat (11%). Different mechanism — Akanji more via passing directness; Bischof more via dribbling, territory (wide vs central).
Arthur Theate Bologna · 185 cm / 78 kg
80%
Driven by: progression (18%), final-third threat (18%), line-breaking (15%). Different mechanism — Akanji more via through-balls, receiving zones; Theate more via dribbling, territory (wide vs central).
20

Summary

Manuel Akanji is a stopper centre-back / ball-playing centre-back: 95% pass completion, 29 line-breaking passes and 6.4 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 (617 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back / ball-playing centre-back — best used in a system built around that identity. His biggest room for growth is transition — 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.

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