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Player reportLigue 1 2025/26

Orel Mangala

Getafe
Half-space creator CM
44% of actions in the half-spaces
central midtempo controllerprogressionbox-to-box
441
minutes
9 apps
15
progressive passes
3.1/90
90%
pass completion
225 passes
5
key passes
1.02/90
6
box entries
1.22/90
25
final-3rd entries
5.1/90
9
dribbles
56% won
27
possessions lost
1.82 danger/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
Central, Middle third — mostly in the middle third (64% of his 225 passes)
90% completion · 225× in 9/9 matches
↓
PROGRESS
drive or pass into the final third
3.1 prog/90 · 15× in 8/9 matches
↓
ARRIVE
get into the box late
5 key passes · 6× in 3/9 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.02 key passes /90 · 0 goals · 9× in 5/9 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
19

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 →
25
passes / match
1.8
dribbles / match
10–44
pass range (matches)
1–4
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (10 at the low end, 44 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

09

How dangerous are his carries?

Real ball-carries

38 tracked carries (7.8/90, 8 progressive, 403m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.

5%5%16%8%13%11%18%8%5%5%5%
progressivelateral/short% of his 38 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 34m
By zone — where the carry started → where it ended
2Outside → Inside
28Inside → Inside
2Outside → Outside
6Inside → Outside
First (15)Second (13)Third (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Orel Mangala's signature is the dribble. Does he carry outside (down the left wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 1.22 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 78%
OUTSIDE 22%
Dribble location — 7 inside · 2 outside
Right Wing
1 · 11%
Right Half-Space
2 · 22%
Central
2 · 22%
Left Half-Space
3 · 33%
Left Wing
1 · 11%
Vision AI 22% of his dribbles are in the wide left lane — he attacks the full-back on the outside, then threatens to cut inside onto his right foot.
06

How does he build & move 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 →RWRHSCLHSLWRW1377%1015%28%1RHS4144%1822%929%125%2C728%617%1238%2728%2010%7LHS5210%527%1425%1338%20LW2425%675%18FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left half-space in the middle third → central areas in the middle third — 3 progressive passes (20% of his progression) at -0.003 xT each. He moves it inside.

His progression is inward: 60% of progressive passes move the ball toward the middle versus 13% going wider — he cuts in rather than holding width.

Only 3% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 3 line-breaking passes and 25 final-third entries, 0.9 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
0%4%6%7%5%0%7%11%18%8%1%1%4%6%16%4%1%
completedincomplete225 passes · any zone → any zone · own goal left, attacking →
225
passes
90%
completed
23
lost
Vision AIIn line with his 90% season completion rate.
05

How does he progress play?

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

15
progressive · 3.1/90
25
final-third entries · 5.1/90
6
box entries · 1.22/90
11
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.
03

How does he create chances?

5 key passes (1.02/90), 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%40%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
12

Where does he become vulnerable?

27 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

7
attacking third (cheap)
14
middle third
6
own third (dangerous)
Vision AI 26% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.82 danger-index/90 · 0.330 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
13

What is his passing profile?

225
passes attempted
38%
mostly sideways
53%
mostly short
Direction
Forward
84 · 37%
Sideways
85 · 38%
Backward
56 · 25%
Length (completed)
Short (<15m)
108 · 53%
Medium
85 · 42%
Long (>30m)
9 · 4%
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.

0.250.240.170.160.130.12
own goal left, attacking →
Highest-value routes (xT)
0.25
Right Half-Space Mid third → Right Wing Att third
1 passes
0.24
Left Wing Mid third → Left Half-Space Att third
1 passes
0.17
Right Wing Mid third → Right Wing Att third
1 passes
0.16
Right Wing Att third → Right Wing Att third
1 passes
0.13
Central Def third → Left Wing Att third
1 passes
0.12
Central Mid third → Left Wing Att third
1 passes
07

Where Does He Receive?

The zones where Orel Mangala 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
21%
Primary
Central, Middle third
17%
Secondary
Left Half-Space, Middle third
12%
Third
Right Half-Space, Middle third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Orel Mangala 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:
2101436113152742213181318122
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.

0%4%6%7%5%0%7%11%18%8%1%1%4%6%16%4%1%
own goal left, attacking →
14

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
1Cross
1Cutback
15Progressive
13Long ball
3Switch
By zone — where the pass started → where it landed
9Outside → Inside
114Inside → Inside
28Outside → Outside
51Inside → Outside
By direction
84Forward
56Backward
85Sideways
own goal left, attacking →
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 switches it out from the right hs to the right wing, advancing it forward in the middle third — 1 passes worth 0.25 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he switches it out from the central to the left wing 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: 42% of his 12 touches there are lost (5 times).
—4 touches · too few—6 touches · too few8%1/12 lost9%1/11 lost—3 touches · too few42%5/12 lost0%0/26 lost4%2/48 lost3%1/38 lost11%2/19 lost—5 touches · too few10%1/10 lost6%1/16 lost38%3/8 lost—7 touches · too fewRWRHSCLHSLWDEFMIDATT
04

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 38 ball-carries, his dominant tendency is that he carries through central areas (74%). He carries from outside into the middle 2 times and out toward the touchline 6 — a width-holder who drives down the line.
11

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
0 · 0%
Progressive / key pass
6 · 16%
Simple pass
29 · 76%
No clean link
3 · 8%
Of 38 carries, 0% flow straight into a shot of his own, 16% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 8% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

16

How & where does he defend?

47 defensive actions across the season (9.6/90). 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 →
6
tackles · 83% won
7
interceptions · 1.4/90
18
recoveries · 3.7/90
7
clearances · 1.4/90
1
blocks
36
avg action height
6
won high (att 3rd)
18
middle third
23
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 31 proactive ball-wins (6.3/90), tackle success 83%. He defends mostly around the middle third.
15

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Orel Mangala keep producing when the game is tight and the press is high? Tiers of ~3-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.9, 3m)
0.91
3.0
1.01
33%
Mid press (PPDA 7.3, 3m)
1.04
3.5
1.16
80%
Low press (PPDA 11.5, 3m)
0.93
2.5
0.83
0%
Team

Team context

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

17

Impact on the Team

Getafe's output per match with Orel Mangala (9 matches) versus without him (25 matches). A proper on-off model needs many more minutes.

WITH (9)
WITHOUT (25)
Δ
goals for /match
1.78
1.48
+0.30
xG for /match
1.49
0.10
+1.39
goals against /match
1.22
1.16
+0.06
points /match
2.11
1.64
+0.47
18

His Share of the Team

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

category
share
him / team
interceptions
7%
21 / 321
zone-14 entries
4%
10 / 282
final-third entries
3%
53 / 1813
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 central 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 controller66%Deep-lying playmaker55%Box-to-box runner20%Advanced playmaker (8)20%
Why Tempo controller 66%: a weighted blend of retention 82 (weight 35%) + build-up 53 (weight 30%) + press resistance 73 (weight 20%) + progression 22 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
retention, press resistance
Average
dribbling, build-up, passing directness
Weak
carrying, receiving zones, crossing, ball-winning, final-third threat, transition, creativity, defensive aggression, progression, box threat, through-balls, territory (wide vs central), line-breaking
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
82
Press resistance ~proxy
73
Dribbling
63
Build-up
53
Passing directness
49
Carrying
38
Receiving zones
37
Crossing
37
Ball-winning
35
Final-third threat
33
Transition ~proxy
30
Creativity
26
Defensive aggression
26
Progression
22
Box threat
18
Through-balls ~proxy
13
Territory (wide vs central)
13
Line-breaking
10
21

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 / 80 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 La Liga, Bundesliga, Ligue 1, 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.

Simon Sohm Venezia · Serie A · 188 cm / 85 kg
87%
Driven by: through-balls (12%), box threat (11%), line-breaking (10%). Different mechanism — Mangala more via passing directness; Sohm more via defensive aggression.
Rudy Matondo Paris FC · Ligue 1 · 180 cm
87%
Driven by: progression (12%), line-breaking (12%), creativity (9%). Different mechanism — Mangala more via final-third threat, carrying; Matondo more via territory (wide vs central).
Alpha Touré Metz · Ligue 1 25/26 · 180 cm
85%
Driven by: line-breaking (12%), through-balls (9%), progression (9%). Different mechanism — Mangala more via passing directness, final-third threat; Touré more via build-up.
Warren Bondo Cremonese · Serie A 25/26 · 177 cm / 63 kg
84%
Driven by: box threat (12%), line-breaking (11%), territory (wide vs central) (10%). Different mechanism — Mangala more via passing directness, final-third threat; Bondo more via build-up, carrying.
Fisayo Dele-Bashiru Lazio · Serie A · 176 cm / 70 kg
84%
Driven by: line-breaking (11%), through-balls (10%), progression (10%). Different mechanism — Mangala more via passing directness, crossing; Dele-Bashiru more via territory (wide vs central).
Jessy Deminguet Metz · Ligue 1 25/26 · 178 cm / 74 kg
83%
Driven by: line-breaking (14%), creativity (12%), box threat (11%). Different mechanism — Mangala more via receiving zones, passing directness; Deminguet more via build-up, territory (wide vs central).
22

Summary

Orel Mangala is a tempo controller / deep-lying playmaker: 3.1 progressive passes, 1.02 key passes /90, 6 box entries, 0 goals from 0.23 xG. A box-to-box contributor across every phase.

Based on 9 matches (441 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / deep-lying playmaker — 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 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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