Combining every season — this one is larger, give it a moment.
Team Intelligence Report · Egyptian Premier League 2026
Zamalek SC
A balanced-territory side, moderate-press out of possession, with a low-output attack. Currently #2 of 20 on 10 points (3-1-0, 7:1). Tactical profile below is built from 4 matches of ball-by-ball event data, contextualised against the league.
Who Zamalek SC are and how the season actually went — the authoritative record first, tactical identity second.
Who Are They? — Identity
The question
In one read, what kind of team is Zamalek SC and how good was the season?
Read. Zamalek SC currently sit #2 of 20 on 10 points (3W-1D-0L, 2.50 pts/game), scoring 7 and conceding 1 for a goal difference of +6.
On the ball they are a balanced-territory team (49% field tilt, #10 in the league); off it they defend with a moderate-press (#4 of 20 for press intensity).
Across the 4 matches of event data, they create 0.85 xG/game (#13) and concede 1.59 (#18), a net of -0.74 xG/game — the underlying performance diverges from the actual goal difference.
Season Context — the league table
The question
Where did Zamalek SC actually finish, and against whom?
The authoritative final table (full season), centred on Zamalek SC.
#
team
P
W
D
L
GF
GA
GD
Pts
1
Pyramids FC
4
4
0
0
7
0
+7
12
2
Zamalek SC
4
3
1
0
7
1
+6
10
3
Al Ahly FC
4
3
1
0
7
3
+4
10
4
Cleopatra FC
4
3
0
1
8
3
+5
9
5
Tala'ea El-Gaish
4
2
1
1
5
4
+1
7
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Zamalek SC actually dominate for chances — and which periods hurt them?
Net xG (created minus conceded) in each 15-minute window, summed across the whole season's matches — above the line is time they dominate for chances, below is time it hurts them. Real on-clock shot timing, the only event type on this platform with a genuine in-match timestamp.
dominant (net xG for)conceding (net xG against)
Vision AI Model Insight
Zamalek SC tend to fade after a strong start — first-half net xG -0.71, second-half -2.24. Their strongest period is 31-45' (net -0.05 xG); their most dangerous period to face is 76-90+' (net -1.49 xG against them).
Tactical DNA
The football question
In five genes, what is Zamalek SC's footballing identity?
Each gene is a 0–100 score — the team's league percentile across the metrics that define that phase of play. It distils the whole report into an identity fingerprint: the taller the gene, the more that trait defines them.
62
Build-Up
possession control from the back
78
Progression
moving the ball upfield with threat
48
Creation
manufacturing chances
65
Press
winning the ball high & hard
10
Solidity
resisting the opponent's threat
Genetic identity
Zamalek SC are defined most by their Progression DNA (78/100 · strong at moving the ball upfield with threat), and least by their Solidity DNA (10/100). Percentiles vs the 20 teams in the league.
Part 2
Shape & Personnel
The real on-ball structure and the job each key player performs inside it.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
92%
Possession
75%
Field tilt
67%
Disrupt
Central progression ~proxy
0%
Dribble tendency
12%
Progressive passes
42%
Finish
Final-third patience
8%
Shot quality
67%
Open-play xG
83%
Press
Forward press ~proxy
62%
High regains
50%
Pressing efficiency ~proxy
75%
Defend
Def-mid press ~proxy
50%
High line ~proxy
33%
PAdj defensive actions
38%
Zamalek SC is defined most by Possess (78% in the league) and weakest on Disrupt (18%). Percentiles vs the 24 teams in the league this season.
Part 3
In Possession
Where they play, how the ball travels, how they progress it, and whether the passing actually creates value.
In possession · phase 1
Build-Up
Field Tilt — Territorial Control
The question
How much of the pitch does Zamalek SC actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Zamalek SC's matches, the standard proxy for territorial dominance. Plotted against points per game for every side in the league — the real question isn't just who controls territory, it's whether that control actually converts into results. Dashed lines mark the league average on each axis; Zamalek SC highlighted. Hover any dot for the team.
Vision AI Model Insight
Zamalek SC post 49% field tilt, ranking #10 of 20 in the league — comfortably above the league mid-point for territorial control, and their 2.50 points/game sits above the league-average return — a real disconnect: their territorial control isn't showing up on the scoreboard the way it should.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Zamalek SC actually do its on-ball work?
Every pass and carry Zamalek SC makes, binned into the 15 pitch zones (three thirds × five vertical lanes) and shown as a % share of all on-ball actions.
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (12.3% of all actions). 69% of actions run through the inside lanes (centre + both half-spaces) versus 31% down the two wings — an inside-dominant, half-space build. By third: 28% defensive, 51% middle, 22% attacking.
Build-Up — the tactical board
The football question
How does Zamalek SC progress possession from defence into attack — and who runs it?
The board is the picture: each flow line is one of their most-repeated build-up passes — it brightens from blue to red toward its destination (where the threat lands), its width is how often it is played, and travelling particles show the direction. Toggle the overlays to isolate lateral, forward or switch passes; hover any line and the sidebar names its dominant passer.
Origin Fans — where they can actually go
The four busiest build-up origins, each fanning into the directions they really pass in. Blade width is how often that direction is used, colour is the threat it adds. The spread is the point: a narrow fan is a predictable side you can press on one shoulder, a wide one keeps its options open.
Hover a flow line to explore · click to lock, click again to release. The line brightens toward where the danger lands.
colour = threat: blue → red toward the destinationwidth = how often (log)dashed = switchparticles show direction · toggle & hover
Real Team Shape — from player average positions (not a schematic)
The board above is the pattern; this is the evidence — the eleven most-used players at their true average on-ball positions this season, named, with each one's actual side-aware role. Dot size = minutes played.
◆ Vision AI Insight
Zamalek SC build predominantly down the left, with Hamdi as the fulcrum (180 build-up passes). Only 28% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is RHS mid → C mid (40×) — deny that lane and you slow their whole build.
In possession · phase 2
Progression
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 204 progressive passes across 4 matches (51.0/game).
Origin lane
Right wing
19%
Right half-space
14%
Central
21%
Left half-space
21%
Left wing
25%
Progression is left-dominant: 33% right side · 21% central · 46% left.
Who generates it
Mahmoud Hamdi
26 · 13%
Mahmoud Bentayg
26 · 13%
Mohamed Shehata
24 · 12%
Mahdi Soliman
20 · 10%
Omar Gaber
20 · 10%
Top two — Mahmoud Hamdi & Mahmoud Bentayg — account for 25% of all progression. Concentrated, therefore stoppable.
PROGRESSION
51.0 prog passes/game
mostly left
→
PENETRATION
33% reach final third
24% reach the box
→
THREAT
the other 67% is recycled
progress ≠ danger
Cause → effect. They move the ball well, but only 33% of progressive passes break the final-third line — the rest is lateral recycling in front of the block. Deny the left half-space and you cut the supply at source, because 25% of it runs through two players.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
22%
Progressive
1%
Neutral / sideways
43%
Safe / backward
34%
23% of passes are progressive-or-better; the remaining 77% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Part 4
Attack
Shot volume and quality, how the goals are manufactured, and the pitch locations they go in from.
Shot Map
43 shots for 3.4 xG (0.85/game, #13 in the league). Size = shot xG · gold = goal. Hover a shot for the player, or filter to one below.
Low-output attack. 10.8 shots/game at 0.079 xG/shot. Box entries 14/game (#5). Threat created 12.0 xT/game (#5).
Goal Map — where the goals go in from
The question
Physically, from where on the pitch does Zamalek SC score — and how?
All 7 goals plotted at the point of the shot, coloured by how the chance began. Hover a goal for the scorer, or filter to one player below.
● open play● set piece● penalty
Vision AI Model Insight
100% of goals are scored from inside the box (7 of 7); 2 are headers. A penalty-box team that lives on close-range finishes.
In possession · phase 3
Chance Creation
Chance Creation — the tactical board
The football question
How does Zamalek SC consistently create dangerous chances — from which zones, and who creates them?
Each flow line is one of their most-repeated creation patterns (key passes — the pass before a shot). Watch the lines brighten from blue to red as they converge on the danger zone, which glows and pulses where the ball arrives; width = how often, particles show direction. Toggle to isolate the side it comes from; hover any line and the sidebar names its creator.
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
Low threatMidHigh threatArrow width = total xT, not count
9.2key passes / game
0.85xG / game
Bentaygtop creator
+3.6finishing vs xG
Selected route
RW Att → C Att
CreatorBentayg
Volume6 key passes
Usage33%
Avg threat0.221 xT
Avg distance32 m
Hover a flow line to explore · click to lock, click again to release. The line brightens toward where the danger lands.
colour = threat: blue → red toward the destinationwidth = how often (log)dashed = switchparticles show direction · toggle & hover
Who creates — volume × threat
8Bentayg
5Dabbagh
4Banza
4Kaied
4Shehata
3Sayed
2Fatouh
37key passes #8 of 20
14.2box entries/game #5 of 20
35.8final-3rd entries/game #9 of 20
0.85xG/game #13 of 20
7goals #2 of 20
+3.6finishing vs xG #1 of 20
◆ Vision AI Insight
Zamalek SC lean left — 43% of their key passes come from that flank and its half-space (16 of 37), most often from Bentayg (6). They funnel chances into the c of the final third, most often via RW att → C att (6 key passes, most often from Bentayg). Bentayg is the primary source overall. They generate 0.85 xG a game and finish it clinical — they beat their xG, led by Hossam Ashraf (2G), Ahmed Sherif (1G), Ahmed Esho (1G).
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Zamalek SC scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
5 · 71%
Set pieces
2 · 29%
Penalties
0 · 0%
By finish
Right foot
3 · 43%
Left foot
2 · 29%
Header
2 · 29%
Vision AI Model Insight
7 goals scored. 71% come in open play, but 29% from set pieces — a genuine dead-ball weapon that bypasses the open-play build-up.
Where does Zamalek SC actually progress the ball with their feet, not a pass?
80 progressive carries this season across the whole squad (17% of 464 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 14m, longest 46m. Most active carrier: Ismail (14). Filter to one player below.
First (31)Second (19)Third (18)Fourth (12)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Crosses & Cutbacks — squad-wide
The question
How does Zamalek SC deliver into the box from wide areas?
32 crosses (13 completed) and 19 cutbacks (9 completed) this season across the whole squad — two separate wide-delivery patterns, 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: a cross starts from a wide channel and is aimed into the box; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box.
How hard and how high they press, where they win the ball back, and where they concede it and get hurt.
Pressing — the full picture
The football question
How hard does Zamalek SC press, where, and does it actually work — beyond a single PPDA number?
A composite Pressing Index built from four event-derived dimensions, each ranked against the league. Not one metric — intensity, height, effectiveness and opponent disruption together. The pitch shows every defensive action (the only five events this data records); the white line is the average height that feeds the score. Toggle by action type below, hover any dot for the player.
Ranked #4 of 20 for press intensity, this is a mid block. 40% of defensive actions happen in the middle & attacking thirds, at an average height of 29. Of recoveries, 53% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#4/20
lower = more intense; rank is what matters
Defensive actions / game
88
#8/20
High-press share
11%
#10/20
def actions won high up
Defensive-action height (0–100)
29.4
#8/20
avg pitch height of actions
High recoveries / game
19.0
#6/20
ball won in mid+att third
High-recovery share
53%
#4/20
share of recoveries won high
Opponent completion allowed
77%
#13/20
lower = more disruptive
Opponent progressive allowed
12.4%
#15/20
of opp passes, lower = better
Honest limit — no transition timing
This source has no cross-event clock or possession sequences, so genuine transition metrics — 5-second counterpress, time-to-recover, press→shot within 10s, and xG/xT generated after a high regain — cannot be computed and are deliberately left out rather than estimated. Every number above is a direct read of recorded defensive actions and opponent passes.
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Zamalek SC? 184 opponent progressive passes and 68 shots faced (6.4 xG against) across the season.
Opponent threat by lane (attacking into Zamalek SC)
Right wing
30%
Right half-space
21%
Central
16%
Left half-space
14%
Left wing
19%
Exploit here. Opponents generate the most threat through the right wing (30% of the danger they concede). That is the seam to attack: isolate their right full-back one-v-one, overload the flank and get in behind.
How Do They Concede?
The question
Where do the goals against Zamalek SC actually come from — open play, dead balls, and who supplies them?
Every goal Zamalek SC conceded across the loaded matches — the opponent's shots in Zamalek SC's own matches — plus every individual opponent key pass faced, each drawn as its own real arrow (not zone-clustered) with the % share of each zone behind it.
Where the goals go in
Every opponent key pass against them (40 total)
By situation
Open play
0 · 0%
Set pieces
0 · 0%
Penalties
1 · 100%
Vision AI Model Insight
1 goals conceded. 0% come in open play; set pieces account for only 0%, so dead-ball defending is not the main issue. 0% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right half-space of the attacking third (25% of key passes faced) — that is the zone to shut off.
Ball-Loss Map — where attacks die
Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.
Loss rate by zone
How they lose it
Incomplete pass — attacking third
110
Failed forward pass
79
Failed take-on
33
Lost in build-up (def third)
95
Their weakest zone is the left wing in the attacking third: 40% of 78 pass attempts there are lost (31 times). Separately, 35% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Premium
Tactical Phase Read
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
Their playstyle fingerprint, and where they sit stylistically among the league.
Set-Piece Threat
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
5 g · 2.6 xG
Set pieces
2 g · 0.8 xG
Penalties
0 g
29% of goals come from set pieces (2 of 7), worth 0.8 xG from 10 shots. A genuine set-piece weapon — defend the box seriously.
Where do our own corners go?
14 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data exists in this event feed, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.
Right side (8)
Delivered into the box 100%Short 0%
Left side (6)
Delivered into the box 100%Short 0%
Where they attack us from set pieces
10 opponent corners faced, 0 conceded — gold = goal, arrows drawn from the flag. Red shading behind the shots is the same zone-grid distribution as the corners map above — % of these shots per zone. Tap or hover any shot for the scorer/attempter, minute and match; filter to one match below and the shading recomputes for just that game.
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
press intensity (PPDA) — 10.93 (80th pct)
progression /game — 51.00 (80th pct)
box entries /game — 14.25 (75th pct)
threat created /game — 12.04 (75th pct)
pass retention % — 79.16 (75th pct)
Weaknesses (bottom-third vs league)
xG conceded /game — 1.59 (10th pct)
xG created /game — 0.85 (35th pct)
shots /game — 10.75 (35th pct)
Style Archetype & Similar Teams
Team archetype: Reactive low-block counter. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Ghazl El Mahalla FC
65%
ZED FC
51%
Cleopatra FC
43%
National Bank of Egypt
39%
Al Ahly FC
27%
Part 7
Players
The individuals driving the numbers — output, creation, defensive work, and the full squad ledger.
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 108 minutes). Coloured chips are that player's strongest capability blocks.
Top Creators
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Mahmoud Bentayg
D
360
2.00
9
5.2
Oday Dabbagh
M
325
1.38
7
2.1
Omar Gaber
D
360
0.50
10
4.9
Mohamed Shehata
M
360
1.00
6
6.2
Chico Banza
M
229
1.57
4
2.5
Adam Kaied
M
180
2.00
4
2.7
Ahmed Sherif
M
137
0.00
5
1.8
Mohamed El Sayed
M
152
1.78
2
0.5
Wide Delivery Leaders
Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.
player
pos
min
crosses (completed)
cutbacks (completed)
Omar Gaber
FB
360
9 (67%)
2 (0%)
Mahmoud Bentayg
FB
360
6 (33%)
5 (20%)
Oday Dabbagh
W
325
1 (0%)
4 (100%)
Chico Banza
W
229
3 (33%)
1 (100%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Ahmed Rabia
M
238
43
9
9
14
Omar Gaber
D
360
41
9
3
11
Mohamed Ismail
D
360
40
7
1
4
Mohamed Shehata
M
360
40
3
7
23
Mahdi Soliman
G
360
38
0
0
34
Mahmoud Hamdi
D
360
34
2
4
4
Mahmoud Bentayg
D
360
23
3
6
3
Oday Dabbagh
M
325
19
4
1
7
Full Squad Data
Every player with 100+ minutes (14 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Omar Gaber
D
4
360
0
0.0
2
20
41
4.9
Mahmoud Hamdi
D
4
360
0
0.0
1
26
34
7.0
Mahdi Soliman
G
4
360
0
0.0
0
20
38
3.6
Mohamed Shehata
M
4
360
0
0.1
4
24
40
6.2
Mohamed Ismail
D
4
360
1
0.0
1
16
40
4.9
Mahmoud Bentayg
D
4
360
0
0.0
8
26
23
5.2
Oday Dabbagh
M
4
325
0
0.7
5
11
19
2.1
Ahmed Rabia
M
4
238
0
0.1
0
14
43
2.6
Chico Banza
M
4
229
1
0.7
4
14
10
2.5
Hossam Ashraf
F
3
181
2
0.6
0
4
8
1.3
Adam Kaied
M
3
180
0
0.2
4
11
18
2.7
Naser Mansi
F
3
162
0
0.4
1
0
10
0.1
Mohamed El Sayed
M
4
152
1
0.1
3
2
9
0.5
Ahmed Sherif
M
3
137
1
0.4
0
8
8
1.8
Recruitment Intelligence — profiles to sign
The question
If you were sporting director, which player profiles would move the needle most?
Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.
Need — bottom-third: xG conceded /game (10th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.59, 10th percentile vs the league).
Need — bottom-third: xG created /game (35th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (0.85, 35th percentile vs the league).
Need — bottom-third: shots /game (35th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (10.75, 35th percentile vs the league).
Scouting Summary — How to Play Them
How to play them. Zamalek SC are balanced-territory with a moderate-press. They sit off, so patience and width are needed to break them down;
their attack runs at 0.85 xG/game — containable, and they concede 1.59/game (leaky).
Deny the box entries through their strongest channel and force them wide.
[Event-data based — no tracking, so off-ball structure and marking scheme need video.]
Player Role Architecture
The question
Who does what — and what tactical job does each key player actually perform?
The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.