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Player Intelligence Report · Egyptian Premier League 2025/26

Ahmed Etman

Ghazl El Mahalla FC
Ball-winning 6 (destroyer) DM
9.2 defensive actions/90
defensive middeep-lying playmakerpress resistancescreening
481
minutes
16 apps
179
passes
75% completed
75%
pass completion
179 passes
20
progressive passes
3.7/90
49
defensive actions
9.2/90
13
tackles + interceptions
89% tackle win
22
recoveries
4.1/90
30
line-breaking passes
5.6/90
Part 1

Overview

The headline read on him, and how he compares to 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 (54% of his 179 passes)
75% completion · 179× in 15/15 matches
ESCAPE PRESSURE
turn out of a tight central area
37% won · 19× in 8/15 matches
PROGRESS CENTRAL
break a line through the middle
3.7 prog/90 · 30× in 13/15 matches
SCREEN / WIN BALL
protect the back four
6.5 ball-wins/90 · 35× in 15/15 matches
RECYCLE / PROGRESS
keep it ticking, feed the final third
3.0 f3-entries/90 · 16× in 7/15 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.
Part 2

In Possession

What he does with the ball — build-up, progression, creation, carrying and finishing.
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 straight through the right hs, advancing it forward in the middle third — 2 passes worth 0.54 xT.
Where do his chances come from?
Of 8 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 5 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: 50% of his 10 touches there are lost (5 times).
50%5/10 lost22%2/9 lost2 touches · too few1 touch · too few1 touch · too few11%4/36 lost18%7/38 lost40%6/15 lost6 touches · too few1 touch · too few39%14/36 lost13%2/15 lost6 touches · too few1 touch · too few2 touches · too fewRWRHSCLHSLWDEFMIDATTVISION AI
03

How does he progress play?

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

20
progressive · 3.7/90
16
final-third entries · 3.0/90
5
box entries · 0.94/90
16
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.
04

How does he build & move the ball?

How does he escape the first line?

22%
vertical passes
11×
10%
switches
47%
carries
24×
22%
short circulation
11×
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 →RWRHSCLHSLWRW5941%2439%2319%112%1RHS5122%1141%2122%1116%8C1513%213%240%633%5LHS633%267%4LW3100%3FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the final third → central areas in the final third — 7 progressive passes (26% of his progression) at 0.238 xT each. He moves it inside.

His progression is inward: 56% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

13% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 9 line-breaking passes and 16 final-third entries, 4.1 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
2%8%19%21%18%10%3%5%4%3%1%1%2%1%1%VISION AI
completedincomplete179 passes · any zone → any zone · own goal left, attacking
179
passes
75%
completed
45
lost
Vision AIIn line with his 75% season completion rate.
05

Where does he become vulnerable?

57 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.

23
attacking third (cheap)
25
middle third
9
own third (dangerous)
Vision AI 40% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.18 danger-index/90 · 0.299 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

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.

0.540.380.290.210.170.17VISION AI
own goal left, attacking
Highest-value routes (xT)
0.54
Right Half-Space Mid third → Right Half-Space Att third
2 passes
0.38
Right Wing Att third → Right Wing Att third
2 passes
0.29
Right Wing Att third → Central Att third
1 passes · 1 to a shot
0.21
Right Half-Space Mid third → Left Half-Space Att third
1 passes
0.17
Right Half-Space Def third → Right Half-Space Mid third
2 passes
0.17
Right Half-Space Mid third → Central Att third
1 passes
07

What is his passing profile?

179
passes attempted
41%
mostly forward
49%
mostly short
Direction
Forward
73 · 41%
Sideways
55 · 31%
Backward
51 · 28%
Length (completed)
Short (<15m)
65 · 49%
Medium
49 · 37%
Long (>30m)
20 · 15%
08

Where Does He Receive?

The zones where Ahmed Etman gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (the event feed gives no explicit receiver).

123VISION AI
1 = primary, 2 = secondary, 3 = third · own goal left, attacking
His collection zones
22%
Primary
Right Half-Space, Middle third
21%
Secondary
Right Wing, Middle third
19%
Third
Right Wing, Attacking third
These are his primary ball-collection zones — where any plan to involve him (or deny him) has to start.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Ahmed Etman 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:
224225989231544393721VISION AI
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.

2%8%19%21%18%10%3%5%4%3%1%1%2%1%1%VISION AI
own goal left, attacking
10

How dangerous are his carries?

Real ball-carries

59 tracked carries (11.0/90, 9 progressive, 600m 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.

7%20%14%24%5%10%3%10%2%2%2%2%VISION AI
progressivelateral/short% of his 59 carries originating in each zone · own goal left, attacking
Every carry, exact path — median 7m, longest 39m
By zone — where the carry started → where it ended
13Outside → Inside
28Inside → Inside
14Outside → Outside
4Inside → Outside
VISION AI
First (23)Second (21)Third (8)Fourth (7)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).

9
tackle duels
8
won
1
beaten · 11%
VISION AI
brighter band = more tackle duels · own goal left, attacking
INSIDE 33%
OUTSIDE 67%
Tackle-duel location — 3 inside · 6 outside
Right Wing
6 · 67%
Right Half-Space
3 · 33%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 1 of 9 tackle duels (11% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
VISION AI
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: 3.56 dribbles attempted /90.

VISION AI
brighter band = more dribbles · own goal left, attacking
INSIDE 58%
OUTSIDE 42%
Dribble location — 11 inside · 8 outside
Right Wing
7 · 37%
Right Half-Space
9 · 47%
Central
2 · 11%
Left Half-Space
0 · 0%
Left Wing
1 · 5%
Vision AI 58% of his carries are central — he receives and turns in congested midfield zones rather than out wide.
11

How does he create chances?

8 key passes (1.50/90), 1 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:
57%29%14%VISION AI
chance creation (6)assist (1)% of the selected group's key passes originating in each zone
12

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, red = incomplete, gold = key pass. Filter by outcome or isolate one match below.

8Key pass
2Assist
7Cross
2Cutback
20Progressive
30Long ball
14Switch
By zone — where the pass started → where it landed
34Outside → Inside
55Inside → Inside
28Outside → Outside
17Inside → Outside
By direction
73Forward
51Backward
55Sideways
VISION AI
own goal left, attacking
13

Crosses & Cutbacks

7 crosses (1.31/90, 2 completed) and 2 cutbacks (0.37/90, 1 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event on this data source, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
VISION AI
Cutbacks — close-up on the final third
VISION AI
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Part 3

Out of Possession

Where and how he defends and presses.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Ahmed Etman 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 ~5-5 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 6.7, 5m)
66%
1.9
5.2
0.65
Mid press (PPDA 10.8, 5m)
80%
3.6
4.5
1.19
Low press (PPDA 16.5, 5m)
78%
6.0
7.0
1.66
15

How & where does he defend?

49 defensive actions across the season (9.2/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not in the event feed, so aerial dominance is not measured here.

VISION AI
click a card to isolate that action type · own goal left, attacking
9
tackles · 89% won
4
interceptions · 0.7/90
22
recoveries · 4.1/90
11
clearances · 2.1/90
3
blocks
29
avg action height
2
won high (att 3rd)
16
middle third
31
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 35 proactive ball-wins (6.5/90), tackle success 89%. He defends deep, protecting his box — a last-line stopper.
Part 4

Team Context

How much of the team's output runs through him, and what changes when he isn't on the pitch.
16

Impact on the Team

Ghazl El Mahalla FC's output per match with Ahmed Etman (1 matches) versus without him (18 matches). Insufficient evidence — the without-sample is only 18 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 (1)
WITHOUT (18)
Δ
goals against /match
0.00
2.67
-2.67
points /match
1.00
0.00
+1.00
goals for /match
0.00
0.33
-0.33
xG for /match
0.70
0.10
+0.60
17

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
expected assists (xA)
3%
0.9 / 31.5
successful take-ons
3%
7 / 266
box entries
2%
11 / 452
Part 5

Overview

The headline read on him, and how he compares to his peers.
18

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.

VISION AI
own goal left, attacking
12
passes / match
9.2
def actions / 90
2–42
pass range (matches)
11
clearances
Pass range = his fewest and most passes in any single match this season (2 at the low end, 42 at the high) — a measure of match-to-match involvement, not pass distance.
Part 6

Recruitment

Style profile, closest comparables, and the summary verdict.
19

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 211 defensive mids in the league (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.

Deep-lying playmaker39%Ball-winning 636%Tempo controller29%
Why Deep-lying playmaker 39%: a weighted blend of progression 85 (weight 30%) + press resistance 43 (weight 20%) + retention 28 (weight 20%) + build-up 17 (weight 30%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central), carrying, crossing, box threat
Strong
progression, creativity, line-breaking, dribbling, receiving zones
Average
final-third threat, transition, press resistance
Weak
ball-winning, defensive aggression, through-balls, retention, build-up, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
97
Carrying
97
Crossing
93
Box threat
87
Progression
85
Creativity
83
Line-breaking
79
Dribbling
72
Receiving zones
71
Final-third threat
61
Transition ~proxy
48
Press resistance ~proxy
43
Ball-winning
39
Defensive aggression
32
Through-balls ~proxy
30
Retention
28
Build-up
17
Passing directness
6
20

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. Scope: pooled across the Premier League, La Liga and the Egyptian 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.

Óscar Mingueza Crystal Palace · La Liga
68%
Driven by: creativity (14%), progression (12%), crossing (12%). Different mechanism — Etman more via box threat, defensive aggression; Mingueza more via through-balls, final-third threat.
Eslam Gaber Arab Contractors FC
67%
Driven by: build-up (18%), crossing (15%), box threat (14%). Different mechanism — Etman more via receiving zones, creativity; Gaber more via through-balls, defensive aggression.
Hugo Rincón Athletic Club · La Liga
66%
Driven by: territory (wide vs central) (16%), passing directness (14%), progression (10%). Different mechanism — Etman more via box threat, dribbling; Rincón more via through-balls.
Saša Lukic Fulham · Premier League
64%
Driven by: build-up (21%), passing directness (20%), box threat (15%). Different mechanism — Etman more via line-breaking, territory (wide vs central); Lukic more via defensive aggression.
Nahuel Molina Roma · La Liga
63%
Driven by: creativity (14%), territory (wide vs central) (14%), crossing (14%). Different mechanism — Etman more via box threat, carrying; Molina more via through-balls, passing directness.
Hugo Bueno Wolves · Premier League
63%
Driven by: carrying (18%), territory (wide vs central) (14%), passing directness (14%). Different mechanism — Etman more via box threat, receiving zones; Bueno more via through-balls, ball-winning.
21

Summary

Ahmed Etman is a deep-lying playmaker: 75% completion, 30 line-breaks and 3.7 progressive passes /90, resisting pressure with 37% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 16 matches (481 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a deep-lying playmaker — best used in a system built around that identity. His biggest room for growth is build-up — even a modest improvement there would meaningfully lift his overall deep-lying playmaker 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.