العربيةSeason2025/262026 · this seasonAll seasons
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Player reportEgyptian Premier League 2026

Ahmed Etman

Ghazl El Mahalla FC
Central midfielder CM
balanced central profile
central midadvanced playmaker (8)progressionbox-to-box
147
minutes
4 apps
5
progressive passes
3.1/90
70%
pass completion
73 passes
2
key passes
1.22/90
1
box entries
0.61/90
5
final-3rd entries
3.1/90
1
dribbles
0% won
23
possessions lost
3.14 danger/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Ahmed Etman has played 4 matches (147 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
Right Wing, Attacking third — mostly in the attacking third (53% of his 73 passes)
70% completion · 73× in 4/4 matches
↓
PROGRESS
drive or pass into the final third
3.1 prog/90 · 5× in 3/4 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.22 key passes /90 · 0 goals · 4× in 2/4 matches
Signature: Receive → Progress → Create / Finish — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: arrive — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
In possession

In possession

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

05

How dangerous are his carries?

Real ball-carries

26 tracked carries (15.9/90, 3 progressive, 281m 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.

8%15%19%46%8%4%
progressivelateral/short% of his 26 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 54m
By zone — where the carry started → where it ended
6Outside → Inside
3Inside → Inside
14Outside → Outside
3Inside → Outside
First (17)Second (9)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 1 dribble attempted this season — too little volume to map a location pattern.

02

How does he create chances?

2 key passes (1.22/90), 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:
50%50%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
07

Where does he become vulnerable?

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

14
attacking third (cheap)
5
middle third
4
own third (dangerous)
Vision AI 61% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 3.14 danger-index/90 · 0.223 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 →
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays inside from the right wing toward the left hs, 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 final third: 40% of his 30 touches there are lost (12 times).
—4 touches · too few—3 touches · too few—0 touches · too few—0 touches · too few—0 touches · too few29%4/14 lost0%0/12 lost—1 touch · too few—0 touches · too few—0 touches · too few40%12/30 lost22%2/9 lost—0 touches · too few—0 touches · too few—0 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 26 ball-carries, his dominant tendency is that he drives along the touchline (54%). He carries from outside into the middle 6 times and out toward the touchline 3 — a genuine inside forward who cuts in with the ball.
06

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
2 · 8%
Simple pass
14 · 54%
No clean link
10 · 38%
Of 26 carries, 0% flow straight into a shot of his own, 8% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 38% 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.

08

How & where does he defend?

16 defensive actions across the season (9.8/90). 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 →
3
tackles · 100% won
2
interceptions · 1.2/90
9
recoveries · 5.5/90
1
clearances · 0.6/90
1
blocks
48
avg action height
4
won high (att 3rd)
8
middle third
4
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 14 proactive ball-wins (8.6/90), tackle success 100%. He defends high, stepping out to intercept — suits a high line.
Team

Team context

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

09

Impact on the Team

Ghazl El Mahalla FC's output per match with Ahmed Etman (3 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (3)
WITHOUT (3)
Δ
goals for /match
0.00
0.33
-0.33
xG for /match
0.59
0.00
+0.59
goals against /match
0.67
2.67
-2.00
points /match
0.33
0.00
+0.33
10

His Share of the Team

Of everything Ghazl El Mahalla FC produced this season, the categories where the biggest share ran through Ahmed Etman specifically — his share of the team total, not a per-90 rate.

category
share
him / team
box entries
5%
15 / 317
expected assists (xA)
5%
1.0 / 21.9
zone-14 entries
4%
7 / 171
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

11

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 445 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.

Advanced playmaker (8)84%Box-to-box runner77%Transition runner64%Deep-lying playmaker60%
Why Advanced playmaker (8) 84%: a weighted blend of creativity 87 (weight 35%) + progression 87 (weight 25%) + final-third threat 72 (weight 25%) + box threat 74 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central), crossing, creativity, progression, carrying, receiving zones, line-breaking
Strong
ball-winning, box threat, final-third threat
Average
dribbling, transition, defensive aggression, through-balls, press resistance, build-up, retention
Weak
passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
92
Crossing
90
Creativity
87
Progression
87
Carrying
87
Receiving zones
87
Line-breaking
86
Ball-winning
79
Box threat
74
Final-third threat
72
Dribbling
63
Transition ~proxy
60
Defensive aggression
50
Through-balls ~proxy
49
Press resistance ~proxy
48
Build-up
48
Retention
43
Passing directness
19
12

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) 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 Egyptian Premier League, Bundesliga, La Liga, 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.

Rémy Cabella Nantes · Ligue 1 25/26 · 171 cm / 68 kg
89%
Driven by: crossing (16%), creativity (14%), progression (11%). Different mechanism — Etman more via dribbling; Cabella more via through-balls, final-third threat.
Pablo Fornals Real Betis · La Liga · 178 cm / 67 kg
81%
Driven by: creativity (16%), progression (15%), crossing (14%). Different mechanism — Etman more via ball-winning; Fornals more via passing directness, through-balls.
Diego Moreira AC Milan · Serie A · 179 cm / 73 kg
79%
Driven by: crossing (16%), carrying (14%), ball-winning (10%). Different mechanism — Etman more via receiving zones, creativity; Moreira more via through-balls.
Dominik Szoboszlai Liverpool · Premier League · 186 cm / 74 kg
78%
Driven by: crossing (13%), receiving zones (13%), progression (12%). Different mechanism — Etman more via ball-winning, crossing; Szoboszlai more via through-balls, retention.
Thomas Lemar Elche · La Liga · 171 cm / 63 kg
77%
Driven by: crossing (19%), carrying (14%), territory (wide vs central) (12%). Different mechanism — Etman more via creativity, ball-winning; Lemar more via retention, press resistance.
Nicolò Barella Inter · Serie A · 175 cm / 68 kg
77%
Driven by: crossing (19%), creativity (15%), progression (12%). Different mechanism — Etman more via territory (wide vs central), ball-winning; Barella more via through-balls, press resistance.
13

Summary

Ahmed Etman is an advanced playmaker (8) / box-to-box runner: 3.1 progressive passes, 1.22 key passes /90, 1 box entries, 0 goals from 0.27 xG. A box-to-box contributor across every phase.

Based on 4 matches (147 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) / box-to-box runner — best used in a system built around that identity. His biggest room for growth is final-third threat — even a modest improvement there would meaningfully lift his overall advanced playmaker (8) 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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