Combining every season — this one is larger, give it a moment.
Team Intelligence Report · Egyptian Premier League 2026
Arab Contractors FC
A territorially-dominated side, passive / low-block out of possession, with a low-output attack. Currently #13 of 20 on 4 points (1-1-2, 4:5). Tactical profile below is built from 3 matches of ball-by-ball event data, a sample of the full season, contextualised against the league.
Record, points, goals and league position come from the league table as it stands today — 4 games played, season in progress. Every tactical metric — xG, PPDA, field tilt, progression, zone maps — is measured from the 3 matches of detailed event data currently loaded, so those samples may not span the whole season.
Who Arab Contractors FC 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 Arab Contractors FC and how good was the season?
Read. Arab Contractors FC currently sit #13 of 20 on 4 points (1W-1D-2L, 1.00 pts/game), scoring 4 and conceding 5 for a goal difference of -1.
On the ball they are a territorially-dominated team (42% field tilt, #17 in the league); off it they defend with a passive / low-block (#16 of 20 for press intensity).
Across the 3 matches of event data, they create 0.58 xG/game (#19) and concede 1.04 (#12), a net of -0.46 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Arab Contractors FC actually finish, and against whom?
The authoritative final table (full season), centred on Arab Contractors FC.
#
team
P
W
D
L
GF
GA
GD
Pts
10
National Bank of Egypt
4
2
0
2
4
5
-1
6
11
Modern Sport FC
4
1
2
1
4
4
+0
5
12
Petrojet
4
1
1
2
6
7
-1
4
13
Arab Contractors FC
4
1
1
2
4
5
-1
4
14
ENPPI
4
1
1
2
5
7
-2
4
15
ZED FC
4
1
1
2
2
4
-2
4
16
Abu Qir Fertilizers SC
4
1
0
3
1
6
-5
3
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Arab Contractors FC 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
Arab Contractors FC tend to fade after a strong start — first-half net xG +0.14, second-half -1.54. Their strongest period is 31-45' (net +0.25 xG); their most dangerous period to face is 46-60' (net -1.15 xG against them).
Tactical DNA
The football question
In five genes, what is Arab Contractors FC'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.
8
Build-Up
possession control from the back
8
Progression
moving the ball upfield with threat
5
Creation
manufacturing chances
18
Press
winning the ball high & hard
40
Solidity
resisting the opponent's threat
Genetic identity
Arab Contractors FC are defined most by their Solidity DNA (40/100 · average at resisting the opponent's threat), and least by their Creation DNA (5/100). 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
25%
Possession
21%
Field tilt
58%
Disrupt
Central progression ~proxy
62%
Dribble tendency
71%
Progressive passes
38%
Finish
Final-third patience
75%
Shot quality
71%
Open-play xG
62%
Press
Forward press ~proxy
75%
High regains
92%
Pressing efficiency ~proxy
83%
Defend
Def-mid press ~proxy
75%
High line ~proxy
83%
PAdj defensive actions
58%
Arab Contractors FC is defined most by Press (83% in the league) and weakest on Possess (35%). 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 Arab Contractors FC actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Arab Contractors FC'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; Arab Contractors FC highlighted. Hover any dot for the team.
Vision AI Model Insight
Arab Contractors FC post 42% field tilt, ranking #17 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 0.33 points/game sits below the league-average return — territory is genuinely converting into results.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Arab Contractors FC actually do its on-ball work?
Every pass and carry Arab Contractors FC 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 defensive third (12.0% of all actions). 65% of actions run through the inside lanes (centre + both half-spaces) versus 35% down the two wings — an inside-dominant, half-space build. By third: 34% defensive, 47% middle, 19% attacking.
Build-Up — the tactical board
The football question
How does Arab Contractors FC 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
Arab Contractors FC build predominantly down the right, with Hamed as the fulcrum (74 build-up passes). Only 29% 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 C def → LHS def (18×) — 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. 109 progressive passes across 3 matches (36.3/game).
Origin lane
Right wing
18%
Right half-space
17%
Central
24%
Left half-space
15%
Left wing
27%
Progression is left-dominant: 35% right side · 24% central · 41% left.
Who generates it
Kahraba
16 · 15%
Omar El Wahsh
12 · 11%
Mohamed Hamed
12 · 11%
Nader Hesham
10 · 9%
Mahmoud Abou El-Saoud
9 · 8%
Top two — Kahraba & Omar El Wahsh — account for 26% of all progression. Concentrated, therefore stoppable.
PROGRESSION
36.3 prog passes/game
mostly left
→
PENETRATION
42% reach final third
16% reach the box
→
THREAT
the other 58% is recycled
progress ≠ danger
Cause → effect. They move the ball well, but only 42% 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 26% 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)
18%
Progressive
0%
Neutral / sideways
55%
Safe / backward
28%
18% of passes are progressive-or-better; the remaining 82% 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
22 shots for 1.7 xG (0.58/game, #19 in the league). Size = shot xG · gold = goal. Hover a shot for the player, or filter to one below.
Low-output attack. 7.3 shots/game at 0.079 xG/shot. Box entries 6/game (#19). Threat created 8.2 xT/game (#19).
Goal Map — where the goals go in from
The question
Physically, from where on the pitch does Arab Contractors FC score — and how?
All 3 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
67% of goals are scored from inside the box (2 of 3); 0 are headers. They score a notable share from distance — a shooting threat from range.
In possession · phase 3
Chance Creation
Chance Creation — the tactical board
The football question
How does Arab Contractors FC 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
5.3key passes / game
0.58xG / game
Wahshtop creator
+1.3finishing vs xG
Selected route
LW Att → C Att
CreatorNiang
Volume2 key passes
Usage33%
Avg threat0.110 xT
Avg distance26 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
5Wahsh
3Niang
2Hesham
2Hussein
1Hamed
1Gaber
1Gaber
16key passes #16 of 20
6.3box entries/game #19 of 20
25.0final-3rd entries/game #17 of 20
0.58xG/game #19 of 20
3goals #12 of 20
+1.3finishing vs xG #5 of 20
◆ Vision AI Insight
Arab Contractors FC lean left — 62% of their key passes come from that flank and its half-space (10 of 16), most often from Wahsh (4). They funnel chances into the c of the final third, most often via LW att → C att (2 key passes, most often from Niang). Wahsh is the primary source overall. They generate 0.58 xG a game and finish it clinical — they beat their xG, led by Eslam Gaber (1G), Omar Kamal (1G), Edrisa Niang (1G).
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Arab Contractors FC scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
1 · 33%
Set pieces
1 · 33%
Penalties
1 · 33%
By finish
Right foot
1 · 33%
Left foot
2 · 67%
Header
0 · 0%
Vision AI Model Insight
3 goals scored. 33% come in open play, but 33% from set pieces — a genuine dead-ball weapon that bypasses the open-play build-up.
Where does Arab Contractors FC actually progress the ball with their feet, not a pass?
88 progressive carries this season across the whole squad (20% of 443 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 15m, longest 57m. Most active carrier: Gaber (13). Filter to one player below.
First (27)Second (26)Third (26)Fourth (9)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Crosses & Cutbacks — squad-wide
The question
How does Arab Contractors FC deliver into the box from wide areas?
26 crosses (8 completed) and 11 cutbacks (2 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 Arab Contractors FC 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 #16 of 20 for press intensity, this is a low block. 37% of defensive actions happen in the middle & attacking thirds, at an average height of 30. Of recoveries, 43% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#16/20
lower = more intense; rank is what matters
Defensive actions / game
80
#15/20
High-press share
9%
#19/20
def actions won high up
Defensive-action height (0–100)
29.6
#7/20
avg pitch height of actions
High recoveries / game
17.7
#11/20
ball won in mid+att third
High-recovery share
43%
#10/20
share of recoveries won high
Opponent completion allowed
75%
#11/20
lower = more disruptive
Opponent progressive allowed
11.6%
#10/20
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 Arab Contractors FC? 138 opponent progressive passes and 35 shots faced (3.1 xG against) across the season.
Opponent threat by lane (attacking into Arab Contractors FC)
Right wing
27%
Right half-space
14%
Central
16%
Left half-space
21%
Left wing
22%
Exploit here. Opponents generate the most threat through the right wing (27% 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 Arab Contractors FC actually come from — open play, dead balls, and who supplies them?
Every goal Arab Contractors FC conceded across the loaded matches — the opponent's shots in Arab Contractors FC'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 (20 total)
By situation
Open play
2 · 40%
Set pieces
2 · 40%
Penalties
1 · 20%
Vision AI Model Insight
5 goals conceded. 40% come in open play, and 40% from set pieces — a genuine defensive frailty at dead balls to fix on the training ground. 20% 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
71
Failed forward pass
45
Failed take-on
9
Lost in build-up (def third)
130
Their weakest zone is the left wing in the attacking third: 57% of 46 pass attempts there are lost (26 times). Separately, 21% 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
1 g · 0.9 xG
Set pieces
1 g · 0.1 xG
Penalties
1 g
33% of goals come from set pieces (1 of 3), worth 0.1 xG from 3 shots. A genuine set-piece weapon — defend the box seriously.
Where they attack us from set pieces
7 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)
none stand out
Weaknesses (bottom-third vs league)
pass retention % — 65.31 (0th pct)
xG created /game — 0.58 (5th pct)
box entries /game — 6.33 (5th pct)
threat created /game — 8.19 (5th pct)
shots /game — 7.33 (5th 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.
Abu Qir Fertilizers SC
84%
Canal SC
76%
Smouha
71%
Asyut Petroleum
70%
Tala'ea El-Gaish
61%
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 81 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
Omar El Wahsh
M
245
1.84
4
3.6
Nader Hesham
D
192
0.94
4
1.9
Edrisa Niang
F
172
1.57
2
0.6
Eslam Gaber
M
219
0.41
2
1.5
Mido Gaber
M
130
0.69
1
0.8
Kahraba
D
262
0.00
2
2.9
Mostafa Gamal
M
115
0.00
1
0.7
Mahmoud Abou El-Saoud
G
180
0.00
1
2.3
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)
Kahraba
FB
262
6 (33%)
1 (0%)
Mohamed Refat
W
55
2 (50%)
1 (0%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Omar El Wahsh
M
245
32
5
1
24
Kahraba
D
262
25
3
4
12
Mohamed Hamed
D
270
22
4
1
9
Dokou Dodo
M
215
21
9
3
8
Mahmoud Abou El-Saoud
G
180
20
0
0
17
Hassan Hussein Shakoush
D
188
20
6
4
3
Eslam Gaber
M
219
18
4
2
9
Nader Hesham
D
192
15
1
1
3
Full Squad Data
Every player with 100+ minutes (12 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Mohamed Hamed
D
3
270
0
0.0
1
12
22
2.5
Kahraba
D
3
262
0
0.0
0
16
25
2.9
Omar El Wahsh
M
3
245
0
0.0
5
12
32
3.6
Eslam Gaber
M
3
219
1
0.8
1
6
18
1.5
Dokou Dodo
M
3
215
0
0.0
0
5
21
1.4
Nader Hesham
D
3
192
0
0.1
2
10
15
1.9
Hassan Hussein Shakoush
D
3
188
0
0.0
0
3
20
1.1
Mahmoud Abou El-Saoud
G
2
180
0
0.0
0
9
20
2.3
Edrisa Niang
F
2
172
1
0.2
3
3
3
0.6
Mido Gaber
M
2
130
0
0.0
1
4
9
0.8
Mostafa Gamal
M
2
115
0
0.0
0
3
5
0.7
Mohammed Sandouqa
M
3
110
0
0.1
0
3
9
0.6
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: pass retention % (0th pct)
Sign a secure ball-retaining midfielder. The data flags this because possession is turned over cheaply (65.31, 0th percentile vs the league).
Need — bottom-third: xG created /game (5th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (0.58, 5th percentile vs the league).
Need — bottom-third: box entries /game (5th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (6.33, 5th percentile vs the league).
Scouting Summary — How to Play Them
How to play them. Arab Contractors FC are territorially-dominated with a passive / low-block. They sit off, so patience and width are needed to break them down;
their attack runs at 0.58 xG/game — containable, and they concede 1.04/game (solid).
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.