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Player Intelligence Report · Egyptian Premier League 2025/26

Abdo Gouda

ZED FC
Ball-playing centre-back CB
7.6 progressive passes/90 · 1.5 line-breaking/90
centre-backball-playing centre-backbuild-upline-breaking
1404
minutes
17 apps
671
passes
81% completed
81%
pass completion
671 passes
119
progressive passes
7.6/90
143
line-breaking passes
9.2/90
186
defensive actions
11.9/90
30
tackles + interceptions
40% tackle win
97
clearances
6.2/90
Overview
01 What patterns define him?
In Possession
02 How does he build & move the ball?03 How does he progress play?04 What are his tactical patterns?05 What is his passing profile?06 Where does he become vulnerable?07 What are his progression routes?08 Where does he receive?09 Where does he operate?10 How dangerous are his carries?11 What does every pass look like?12 How does he create chances?
Out of Possession
13 How & where does he defend?14 Does he press, and where?
Team Context
15 What is his impact on the team?16 How much of the team's output runs through him?
Overview
17 Where is he influential?
Recruitment
18 Playing-style profile19 Most similar players20 Summary
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
in the first line of build-up — mostly in the defensive third (56% of his 671 passes)
81% completion · 671× in 15/15 matches
↓
CARRY OUT
step into midfield to commit a presser
4 carries · 8× in 4/15 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
7.6 prog/90 · 143× in 15/15 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 48× in 13/15 matches
↓
PROGRESS
entries into the final third
3.2/90 · 50× in 15/15 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
Part 2

In Possession

What he does with the ball — build-up, progression, creation, carrying and finishing.
02

How does he build & move the ball?

How does he escape the first line?

25%
vertical passes
114×
9%
switches
43×
35%
carries
161×
31%
short circulation
143×
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 →RWRHSCLHSLWRW9728%2737%3629%286%6RHS27128%7720%5535%9611%314%12C12613%1721%2641%5214%1810%13LHS3915%638%1515%631%12LW838%338%325%2FROM
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 final third — 8 progressive passes (10% of his progression) at 0.171 xT each. He keeps it in the same lane.

His progression is inward: 36% of progressive passes move the ball toward the middle versus 25% going wider — he cuts in rather than holding width.

14% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 23 line-breaking passes and 50 final-third entries, 16.6 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
6%27%17%8%1%0%3%17%11%3%0%0%0%3%2%1%0%VISION AI
completedincomplete671 passes · any zone → any zone · own goal left, attacking →
671
passes
81%
completed
130
lost
Vision AIIn line with his 81% season completion rate.
03

How does he progress play?

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

119
progressive · 7.6/90
50
final-third entries · 3.2/90
1
box entries · 0.06/90
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

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 — 6 passes worth 1.18 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he switches it out from the right hs to the right wing, 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: 38% of his 8 touches there are lost (3 times).
28%17/60 lost19%37/192 lost23%22/96 lost23%6/26 lost—5 touches · too few17%10/59 lost9%11/127 lost25%17/68 lost14%3/21 lost—4 touches · too few38%3/8 lost—2 touches · too few—1 touch · too few—1 touch · too few—1 touch · too fewRWRHSCLHSLWDEFMIDATTVISION AI
05

What is his passing profile?

671
passes attempted
63%
mostly forward
52%
mostly medium
Direction
Forward
426 · 63%
Sideways
148 · 22%
Backward
97 · 14%
Length (completed)
Short (<15m)
171 · 32%
Medium
281 · 52%
Long (>30m)
89 · 16%
06

Where does he become vulnerable?

131 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.

5
attacking third (cheap)
41
middle third
85
own third (dangerous)
Vision AI 4% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.90 danger-index/90 · 0.583 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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.

1.180.850.690.660.650.64VISION AI
own goal left, attacking →
Highest-value routes (xT)
1.18
Right Half-Space Mid third → Right Half-Space Att third
6 passes
0.85
Right Half-Space Mid third → Right Wing Att third
9 passes
0.69
Right Half-Space Def third → Right Half-Space Mid third
8 passes
0.66
Right Half-Space Def third → Right Wing Mid third
10 passes
0.65
Right Half-Space Def third → Central Mid third
6 passes
0.64
Central Mid third → Right Half-Space Att third
2 passes
08

Where Does He Receive?

The zones where Abdo Gouda 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
29%
Primary
Right Half-Space, Defensive third
19%
Secondary
Right Half-Space, Middle third
14%
Third
Central, Defensive 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 Abdo Gouda 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:
320139419113712128431851125372VISION 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.

6%27%17%8%1%0%3%17%11%3%0%0%0%3%2%1%0%VISION AI
own goal left, attacking →
10

How dangerous are his carries?

Real ball-carries

185 tracked carries (11.9/90, 24 progressive, 1646m 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.

11%21%12%6%1%8%19%11%5%1%1%2%2%1%VISION AI
progressivelateral/short% of his 185 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 47m
By zone — where the carry started → where it ended
4Outside → Inside
144Inside → Inside
20Outside → Outside
17Inside → Outside
VISION AI
First (96)Second (37)Third (31)Fourth (21)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).

15
tackle duels
6
won
9
beaten · 60%
VISION AI
brighter band = more tackle duels · own goal left, attacking →
INSIDE 60%
OUTSIDE 40%
Tackle-duel location — 9 inside · 6 outside
Right Wing
5 · 33%
Right Half-Space
4 · 27%
Central
4 · 27%
Left Half-Space
1 · 7%
Left Wing
1 · 7%
Vision AI beaten in 9 of 15 tackle duels (60% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
VISION AI
wonlost — dribbled pastown goal left, attacking →

He attempted only 4 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

11

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.

2Key pass
4Cross
1Cutback
119Progressive
143Long ball
48Switch
By zone — where the pass started → where it landed
76Outside → Inside
305Inside → Inside
29Outside → Outside
131Inside → Outside
By direction
426Forward
97Backward
148Sideways
VISION AI
own goal left, attacking →
12

How does he create chances?

2 key passes (0.13/90), 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%VISION AI
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
Part 3

Out of Possession

Where and how he defends and presses.
13

How & where does he defend?

186 defensive actions across the season (11.9/90). 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 →
15
tackles · 40% won
15
interceptions · 1.0/90
46
recoveries · 2.9/90
97
clearances · 6.2/90
13
blocks
21
avg action height
2
won high (att 3rd)
30
middle third
154
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 76 proactive ball-wins (4.9/90), tackle success 40%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Abdo Gouda 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 8.7, 5m)
77%
6.4
8.8
1.12
Mid press (PPDA 14.5, 5m)
82%
11.3
13.3
1.77
Low press (PPDA 21.8, 5m)
83%
8.8
9.5
1.47
Part 4

Team Context

How much of the team's output runs through him, and what changes when he isn't on the pitch.
15

Impact on the Team

Insufficient sample: Abdo Gouda played nearly every ZED FC match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

16

His Share of the Team

Of everything ZED FC produced this season, the categories where the biggest share ran through Abdo Gouda specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
6%
110 / 1769
interceptions
3%
17 / 575
threat added by passing (xT)
3%
19.6 / 701.0
Part 5

Overview

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

VISION AI
own goal left, attacking →
45
passes / match
11.9
def actions / 90
12–74
pass range (matches)
97
clearances
Pass range = his fewest and most passes in any single match this season (12 at the low end, 74 at the high) — a measure of match-to-match involvement, not pass distance.
Part 6

Recruitment

Style profile, closest comparables, and the summary verdict.
18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 292 centre-backs 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.

Ball-playing centre-back79%Stopper centre-back69%
Why Ball-playing centre-back 79%: a weighted blend of build-up 74 (weight 30%) + retention 74 (weight 30%) + progression 75 (weight 25%) + press resistance 70 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
line-breaking, progression, retention, build-up, carrying, press resistance
Average
dribbling, receiving zones, defensive aggression, transition, ball-winning, passing directness, creativity, final-third threat, box threat
Weak
territory (wide vs central), through-balls, crossing
Unknown
aerial ability, marking, off-ball running — not in event data
Line-breaking
80
Progression
75
Retention
74
Build-up
74
Carrying
71
Press resistance ~proxy
70
Dribbling
69
Receiving zones
65
Defensive aggression
64
Transition ~proxy
63
Ball-winning
59
Passing directness
58
Creativity
53
Final-third threat
52
Box threat
52
Territory (wide vs central)
39
Through-balls ~proxy
13
Crossing
6
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. 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.

Ahmed Samy Pyramids FC
81%
Driven by: retention (14%), press resistance (13%), build-up (12%). Different mechanism — Gouda more via territory (wide vs central); Samy more via crossing, through-balls.
Mahmoud Marei Pyramids FC
74%
Driven by: press resistance (16%), through-balls (15%), retention (14%). Different mechanism — Gouda more via box threat, territory (wide vs central); Marei more via crossing, retention.
Nayef Aguerd Marseille · Premier League
72%
Driven by: crossing (21%), through-balls (15%), transition (12%). Different mechanism — Gouda more via line-breaking, dribbling; Aguerd more via passing directness, transition.
Dao Cyrille National Bank of Egypt
70%
Driven by: retention (14%), progression (13%), build-up (12%). Different mechanism — Cyrille more via crossing, ball-winning.
Seif Teka Wadi Degla
69%
Driven by: crossing (22%), build-up (18%), progression (11%). Different mechanism — Gouda more via dribbling; Teka more via through-balls, box threat.
Mahmoud Alaa Al-Ittihad Alexandria
67%
Driven by: crossing (31%), build-up (16%), progression (9%). Different mechanism — Gouda more via dribbling, territory (wide vs central); Alaa more via passing directness, through-balls.
20

Summary

Abdo Gouda is a ball-playing centre-back / stopper centre-back: 81% pass completion, 143 line-breaking passes and 7.6 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 17 matches (1404 minutes) — a reasonable read, still building toward a full-season sample. He profiles as a ball-playing centre-back / stopper centre-back — 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 ball-playing 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.