العربيةSeasonThis season · 2024/26All seasons
Building the full report
Combining every season — this one is larger, give it a moment.
VISION AI ← BACK TO SEARCH
Player Intelligence Report · Egyptian Premier League 2024/26

Kahraba

Arab Contractors FC
Defensive full-back FB
8.3 defensive actions/90 · low final-third share 27%
full-backoverlapping full-backprogressioncrossing
1964
minutes
28 apps
56%
pass completion
623 passes
94
progressive passes
4.3/90
62
final-3rd entries
2.8/90
15
box entries
0.69/90
182
defensive actions
8.3/90
58
tackles + interceptions
60% tackle win
16
dribbles
56% won
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
Right Wing, Middle third — wide or inverted — mostly in the middle third (45% of his 623 passes)
56% completion · 623× in 27/27 matches
PROGRESS
carry or combine up the flank
4.3 prog/90 · 94× in 21/27 matches
DRIBBLE
beat his man up the line
56% won · 16× in 10/27 matches
DELIVER
cross or cut-back into the box
14 key passes · 15× in 11/27 matches
DEFEND
1v1 and cover on his side
182 def actions · lost 34% deep · 182× in 27/27 matches
Signature: receive wide/inverted → progress the flank → deliver into the box → recover to defend 1v1. Attack the space behind him in transition.
Part 2

In Possession

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

Crosses & Cutbacks

45 crosses (2.06/90, 11 completed) and 10 cutbacks (0.46/90, 3 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
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
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right wing, advancing it forward in the middle third — 10 passes worth 1.50 xT.
Where do his chances come from?
Of 14 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 7 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 left wing in the final third: 78% of his 9 touches there are lost (7 times).
63%66/104 lost40%21/52 lost38%5/13 lost5 touches · too few2 touches · too few32%59/182 lost24%18/76 lost50%8/16 lost1 touch · too few3 touches · too few56%70/124 lost40%12/30 lost5 touches · too few1 touch · too few78%7/9 lostRWRHSCLHSLWDEFMIDATTVISION AI
04

How does he progress play?

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

94
progressive · 4.3/90
62
final-third entries · 2.8/90
15
box entries · 0.69/90
13
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.
05

How does he build & move the ball?

How does he escape the first line?

38%
vertical passes
63×
9%
switches
15×
35%
carries
58×
19%
short circulation
31×
Answer: he escapes the press primarily through vertical passing — early balls past the first line.

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 →RWRHSCLHSLWRW21542%9140%8712%252%53%7RHS10730%3237%4024%267%72%2C205%130%635%720%410%2LHS425%125%150%2LW520%180%4FROM
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 — 11 progressive passes (11% of his progression) at 0.253 xT each. He moves it inside.

His progression is inward: 49% of progressive passes move the ball toward the middle versus 9% going wider — he cuts in rather than holding width.

10% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 31 line-breaking passes and 62 final-third entries, 17.6 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
5%19%18%22%18%7%1%2%2%2%1%0%0%1%0%0%1%VISION AI
completedincomplete623 passes · any zone → any zone · own goal left, attacking
623
passes
56%
completed
272
lost
Vision AIIn line with his 56% season completion rate.
06

Where Does He Receive?

The zones where Kahraba 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 Wing, Middle third
20%
Secondary
Right Wing, Attacking third
16%
Third
Right Wing, Defensive third
These are his primary ball-collection zones — where any plan to involve him (or deny him) has to start.
07

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Kahraba 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:
2422199141411722911811214611648VISION 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.

5%19%18%22%18%7%1%2%2%2%1%0%0%1%0%0%1%VISION AI
own goal left, attacking
08

How dangerous are his carries?

Real ball-carries

126 tracked carries (5.8/90, 18 progressive, 1261m 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.

3%20%16%22%21%5%2%4%1%2%2%2%VISION AI
progressivelateral/short% of his 126 carries originating in each zone · own goal left, attacking
Every carry, exact path — median 7m, longest 52m
By zone — where the carry started → where it ended
13Outside → Inside
30Inside → Inside
60Outside → Outside
23Inside → Outside
VISION AI
First (50)Second (43)Third (26)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).

35
tackle duels
21
won
14
beaten · 40%
VISION AI
brighter band = more tackle duels · own goal left, attacking
INSIDE 40%
OUTSIDE 60%
Tackle-duel location — 14 inside · 21 outside
Right Wing
21 · 60%
Right Half-Space
10 · 29%
Central
4 · 11%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 14 of 35 tackle duels (40% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
VISION AI
wonlost — dribbled pastown goal left, attacking

Dribbles (1v1s)

Does he carry outside (overlap) or inside (invert into midfield)? Every carry by channel. Season rate: 0.73 dribbles attempted /90.

VISION AI
brighter band = more dribbles · own goal left, attacking
INSIDE 25%
OUTSIDE 75%
Dribble location — 4 inside · 12 outside
Right Wing
12 · 75%
Right Half-Space
3 · 19%
Central
1 · 6%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI 75% of his carries are wide — an overlapping full-back who hugs the touchline.
09

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.

1.501.210.900.730.700.54VISION AI
own goal left, attacking
Highest-value routes (xT)
1.50
Right Wing Mid third → Right Wing Att third
10 passes
1.21
Right Wing Mid third → Right Half-Space Att third
5 passes
0.90
Right Half-Space Mid third → Left Half-Space Att third
3 passes
0.73
Right Wing Mid third → Central Att third
2 passes · 1 to a shot
0.70
Right Half-Space Def third → Right Wing Att third
4 passes
0.54
Right Wing Def third → Right Wing Att third
2 passes
10

Where does he become vulnerable?

279 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.

93
attacking third (cheap)
90
middle third
96
own third (dangerous)
Vision AI 33% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.85 danger-index/90 · 0.379 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
11

How does he create chances?

14 key passes (0.64/90), 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:
8%42%33%8%8%VISION AI
chance creation (11)assist (1)% of the selected group's key passes originating in each zone
12

What is his passing profile?

623
passes attempted
61%
mostly forward
47%
mostly short
Direction
Forward
378 · 61%
Sideways
155 · 25%
Backward
90 · 14%
Length (completed)
Short (<15m)
166 · 47%
Medium
124 · 35%
Long (>30m)
61 · 17%
13

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.

14Key pass
1Assist
45Cross
10Cutback
94Progressive
168Long ball
31Switch
By zone — where the pass started → where it landed
118Outside → Inside
92Inside → Inside
102Outside → Outside
39Inside → Outside
By direction
378Forward
90Backward
155Sideways
VISION AI
own goal left, attacking
Part 3

Out of Possession

Where and how he defends and presses.
14

How & where does he defend?

182 defensive actions across the season (8.3/90). 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
35
tackles · 60% won
23
interceptions · 1.1/90
66
recoveries · 3.0/90
55
clearances · 2.5/90
3
blocks
28
avg action height
8
won high (att 3rd)
43
middle third
131
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 124 proactive ball-wins (5.7/90), tackle success 60%. He defends deep, protecting his box — a last-line stopper.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Kahraba 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 ~9-9 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 7.6, 9m)
54%
3.9
7.7
0.80
Mid press (PPDA 12.1, 9m)
59%
4.4
7.2
0.94
Low press (PPDA 21.1, 9m)
56%
5.2
9.4
1.27
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

Arab Contractors FC's output per match with Kahraba (3 matches) versus without him (16 matches). Insufficient evidence — the without-sample is only 16 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 (3)
WITHOUT (16)
Δ
goals against /match
1.67
0.00
+1.67
points /match
0.33
0.19
+0.15
goals for /match
1.00
1.00
+0.00
xG for /match
0.58
0.00
+0.58
17

His Share of the Team

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

category
share
him / team
interceptions
7%
24 / 340
progressive passes
6%
100 / 1587
threat added by passing (xT)
6%
20.9 / 358.9
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
23
passes / match
8.3
def actions / 90
1–46
pass range (matches)
55
clearances
Pass range = his fewest and most passes in any single match this season (1 at the low end, 46 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 151 full-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.

Overlapping full-back47%Inverted full-back24%
Why Overlapping full-back 47%: a weighted blend of final-third threat 52 (weight 25%) + dribbling 65 (weight 20%) + transition 50 (weight 25%) + crossing 38 (weight 30%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness
Strong
Average
dribbling, ball-winning, territory (wide vs central), final-third threat, transition, line-breaking, defensive aggression, progression, press resistance, creativity, carrying
Weak
receiving zones, crossing, through-balls, box threat, retention, build-up
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
93
Dribbling
65
Ball-winning
56
Territory (wide vs central)
52
Final-third threat
52
Transition ~proxy
50
Line-breaking
50
Defensive aggression
48
Progression
47
Press resistance ~proxy
47
Creativity
44
Carrying
44
Receiving zones
38
Crossing
38
Through-balls ~proxy
36
Box threat
31
Retention
26
Build-up
23
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.

Mohamed El Deghemy Haras El Hodoud
72%
Driven by: passing directness (28%), crossing (16%), build-up (13%). Different mechanism — Kahraba more via final-third threat, crossing.
Aaron Wan-Bissaka Aston Villa · Premier League
72%
Driven by: build-up (31%), passing directness (26%), box threat (15%). Different mechanism — Kahraba more via defensive aggression, line-breaking; Wan-Bissaka more via crossing, territory (wide vs central).
Diego Rico Getafe · La Liga
63%
Driven by: build-up (32%), passing directness (27%), retention (20%). Different mechanism — Kahraba more via dribbling, carrying; Rico more via defensive aggression, line-breaking.
Ola Aina Nottingham Forest · Premier League
62%
Driven by: passing directness (43%), build-up (13%), retention (13%). Different mechanism — Aina more via through-balls, build-up.
Mohab Samy Canal SC
60%
Driven by: build-up (19%), passing directness (14%), retention (14%). Different mechanism — Kahraba more via dribbling, creativity; Samy more via territory (wide vs central).
Kiko Femenia Getafe · La Liga
57%
Driven by: build-up (31%), passing directness (16%), retention (15%). Different mechanism — Kahraba more via dribbling, line-breaking; Femenia more via territory (wide vs central).
21

Summary

Kahraba is an overlapping full-back: 4.3 progressive passes and 15 box entries, delivering 14 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 28 matches (1964 minutes) this season — a reliable read. He profiles as an overlapping full-back — best used in a system built around that identity. His biggest room for growth is crossing — even a modest improvement there would meaningfully lift his overall overlapping full-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.