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Player reportLigue 1 2025/26

Oussama El Azzouzi

Bologna
Ball-winning 6 (destroyer) DM
12.6 defensive actions/90
defensive midtempo controllerpress resistancescreening
836
minutes
11 apps
387
passes
91% completed
91%
pass completion
387 passes
34
progressive passes
3.7/90
117
defensive actions
12.6/90
35
tackles + interceptions
84% tackle win
41
recoveries
4.4/90
32
line-breaking passes
3.4/90
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 (53% of his 387 passes)
91% completion · 387× in 11/11 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
33% won · 18× in 9/11 matches
↓
PROGRESS CENTRAL
break a line through the middle
3.7 prog/90 · 32× in 9/11 matches
↓
SCREEN / WIN BALL
protect the back four
8.2 ball-wins/90 · 76× in 11/11 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
4.3 f3-entries/90 · 40× in 10/11 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 →
35
passes / match
12.6
def actions / 90
5–51
pass range (matches)
13
clearances
Pass range = his fewest and most passes in any single match this season (5 at the low end, 51 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

79 tracked carries (8.5/90, 20 progressive, 749m 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.

3%4%5%8%6%3%9%23%15%1%4%10%9%1%
progressivelateral/short% of his 79 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 31m
By zone — where the carry started → where it ended
4Outside → Inside
55Inside → Inside
14Outside → Outside
6Inside → Outside
First (22)Second (21)Third (21)Fourth (15)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).

19
tackle duels
16
won
3
beaten · 16%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 63%
OUTSIDE 37%
Tackle-duel location — 12 inside · 7 outside
Right Wing
6 · 32%
Right Half-Space
2 · 11%
Central
3 · 16%
Left Half-Space
7 · 37%
Left Wing
1 · 5%
Vision AI beaten in 3 of 19 tackle duels (16% 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: 1.71 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 78%
OUTSIDE 22%
Dribble location — 14 inside · 4 outside
Right Wing
3 · 17%
Right Half-Space
3 · 17%
Central
7 · 39%
Left Half-Space
4 · 22%
Left Wing
1 · 6%
Vision AI 78% 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?

10%
vertical passes
18×
7%
switches
13×
25%
carries
45×
57%
short circulation
102×
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 →RWRHSCLHSLWRW5454%2935%197%44%2RHS7431%2328%2131%237%53%2C9719%1814%1435%3419%1813%13LHS825%47%624%2024%2039%32LW447%343%1950%22FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the middle third → the left half-space in the middle third — 3 progressive passes (12% of his progression) at 0.025 xT each. He moves it inside.

His progression is inward: 58% of progressive passes move the ball toward the middle versus 12% 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: 15 line-breaking passes and 40 final-third entries, 2.7 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%6%9%7%9%2%1%8%12%12%5%0%1%6%6%8%6%1%
completedincomplete387 passes · any zone → any zone · own goal left, attacking →
387
passes
91%
completed
36
lost
Vision AIIn line with his 91% season completion rate.
04

How does he progress play?

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

34
progressive · 3.7/90
40
final-third entries · 4.3/90
8
box entries · 0.86/90
15
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?

9 key passes (0.97/90), 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:
33%11%33%11%11%
chance creation (9)assist (0)% of the selected group's key passes originating in each zone
05

Where does he become vulnerable?

48 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.

15
attacking third (cheap)
26
middle third
7
own third (dangerous)
Vision AI 31% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.77 danger-index/90 · 0.343 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?

387
passes attempted
43%
mostly forward
54%
mostly short
Direction
Forward
168 · 43%
Sideways
106 · 27%
Backward
113 · 29%
Length (completed)
Short (<15m)
190 · 54%
Medium
131 · 37%
Long (>30m)
30 · 9%
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.

0.630.280.230.160.140.12
own goal left, attacking →
Highest-value routes (xT)
0.63
Right Half-Space Att third → Right Half-Space Att third
3 passes · 1 to a shot
0.28
Left Half-Space Mid third → Left Wing Att third
4 passes
0.23
Left Half-Space Att third → Left Half-Space Att third
1 passes
0.16
Central Mid third → Right Wing Att third
3 passes
0.14
Right Half-Space Mid third → Right Wing Mid third
2 passes
0.12
Left Half-Space Def third → Left Wing Mid third
2 passes
08

Where Does He Receive?

The zones where Oussama El Azzouzi 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
19%
Primary
Central, Middle third
12%
Secondary
Right Half-Space, Middle third
11%
Third
Left 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 Oussama El Azzouzi 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:
4252332256332474722510243827337
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%6%9%7%9%2%1%8%12%12%5%0%1%6%6%8%6%1%
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.

9Key pass
2Cross
34Progressive
32Long ball
22Switch
By zone — where the pass started → where it landed
47Outside → Inside
161Inside → Inside
51Outside → Outside
92Inside → Outside
By direction
168Forward
113Backward
106Sideways
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 in the final third — 3 passes worth 0.63 xT.
Where do his chances come from?
Of 9 key passes, his busiest route is a delivery where he plays straight through the right wing in the final third — 2 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 final third: 28% of his 25 touches there are lost (7 times).
7%1/15 lost15%3/20 lost0%0/23 lost4%1/24 lost0%0/10 lost4%1/23 lost9%4/47 lost14%10/72 lost4%2/45 lost16%3/19 lost28%7/25 lost7%1/15 lost14%2/14 lost0%0/16 lost5%1/19 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

117 defensive actions across the season (12.6/90). 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 →
19
tackles · 84% won
16
interceptions · 1.7/90
41
recoveries · 4.4/90
13
clearances · 1.4/90
6
blocks
36
avg action height
11
won high (att 3rd)
48
middle third
58
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 76 proactive ball-wins (8.2/90), tackle success 84%. 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 Oussama El Azzouzi 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 ~3-5 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.4, 3m)
95%
2.9
2.5
0.82
Mid press (PPDA 5.1, 3m)
88%
4.2
2.3
0.95
Low press (PPDA 7.0, 5m)
90%
3.8
5.2
0.91
Team

Team context

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

15

Impact on the Team

Bologna's output per match with Oussama El Azzouzi (11 matches) versus without him (23 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 (11)
WITHOUT (23)
Δ
goals against /match
1.36
1.26
+0.10
points /match
0.64
1.17
-0.54
goals for /match
0.82
1.09
-0.27
xG for /match
1.14
0.00
+1.14
16

His Share of the Team

Of everything Bologna produced this season, the categories where the biggest share ran through Oussama El Azzouzi specifically — his share of the team total, not a per-90 rate.

category
share
him / team
goals
12%
1 / 8
zone-14 entries
4%
10 / 230
interceptions
4%
18 / 427
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.

Tempo controller76%Deep-lying playmaker74%Ball-winning 654%
Why Tempo controller 76%: a weighted blend of retention 78 (weight 35%) + build-up 76 (weight 30%) + press resistance 58 (weight 20%) + progression 65 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
receiving zones, creativity
Strong
line-breaking, retention, build-up, carrying, crossing, through-balls, final-third threat
Average
progression, ball-winning, press resistance, transition, dribbling, territory (wide vs central), box threat
Weak
passing directness, defensive aggression
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
89
Creativity
86
Line-breaking
83
Retention
78
Build-up
76
Carrying
73
Crossing
73
Through-balls ~proxy
72
Final-third threat
70
Progression
65
Ball-winning
61
Press resistance ~proxy
58
Transition ~proxy
53
Dribbling
51
Territory (wide vs central)
49
Box threat
43
Passing directness
30
Defensive aggression
28
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: 189 cm / 82 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.

Eduardo Camavinga Real Madrid · La Liga · 182 cm / 68 kg
74%
Driven by: receiving zones (16%), retention (13%), line-breaking (12%). Different mechanism — Camavinga more via dribbling, press resistance.
Ellyes Skhiri Koln · Bundesliga · 185 cm / 74 kg
74%
Driven by: build-up (20%), creativity (14%), retention (13%). Different mechanism — Azzouzi more via line-breaking, ball-winning; Skhiri more via passing directness, transition.
Koke Atletico · La Liga · 176 cm / 77 kg
72%
Driven by: creativity (21%), receiving zones (16%), line-breaking (11%). Different mechanism — Azzouzi more via dribbling, press resistance; Koke more via progression, final-third threat.
Leon Avdullahu Hoffenheim · Bundesliga · 185 cm / 79 kg
72%
Driven by: receiving zones (18%), build-up (14%), line-breaking (12%). Different mechanism — Azzouzi more via dribbling, creativity; Avdullahu more via passing directness, progression.
Nicolò Rovella Lazio · 179 cm / 66 kg
71%
Driven by: creativity (16%), receiving zones (14%), retention (12%). Different mechanism — Azzouzi more via box threat; Rovella more via dribbling, defensive aggression.
Youri Regeer Werder Bremen · Bundesliga · 177 cm / 68 kg
70%
Driven by: creativity (16%), crossing (13%), build-up (12%). Different mechanism — Azzouzi more via box threat; Regeer more via defensive aggression, passing directness.
20

Summary

Oussama El Azzouzi is a tempo controller / deep-lying playmaker: 91% completion, 32 line-breaks and 3.7 progressive passes /90, resisting pressure with 33% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 11 matches (836 minutes) — a reasonable read, still building toward a full-season sample. He profiles as a tempo controller / deep-lying playmaker — 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 tempo controller 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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