Hesi Sports Consulting//home_of_hesi_scout

Unclaimed

event_player · FIBA U18 Asia Cup 2026

Ziad Tamer R E Elgohary

Point Guard · QAT · b. 2008

//measurables

186 cm

HEIGHT

//15_second_scouting_read

data-led profile

Creation-led profile

Creation and Scoring load are the clearest relative production signals in this event.

2.0 APGCreation · 76th event percentile

7.0 PPGScoring load · 59th event percentile

8.0
HESI v2.1: #173
of 188: 66%
sample weight

Performance

1 rated event

Published event intelligence

Film

No public film

Movement and decisions remain unverified

Scouting

No final report

No human evaluation on file

Competition

1 event

Event context and history available

profile_index

//performance_intelligence

Event-scoped HESI impact, role, sample strength, team context, and the questions that still need film verification.

//athlete_dossier · event_intelligence

HESI v2.1 performance dossier

Event-scoped production and two-way impact. This is performance data—not a scout evaluation or universal OVR.

Open event intelligence

FIBA U18 Asia Cup2026

Rank #173 of 188 · Provisional

HESI v2.1

HESI

8.0

Event performance

8th event percentile

17.9

Prospect index

8th event percentile

ORtg

71.1

Points / 100 poss.

27th event percentile

DRtg

109.8

Lower is better

29th event percentile

NRtg

-38.6

Two-way margin

27th event percentile

Offensive evidence

ORtg 71.1 · 27th event percentile

Defensive evidence

DRtg 109.8 · Stop% 41.8% · Team DRtg 105.6

Sample context

4 games · 117 minutes · 66% weight

//statistical_read · not_a_scout_grade

Creation-led profileevent-relative description

Creation and Scoring load are the clearest relative production signals in this event.

Creation

2.0 APG76th event percentile

Scoring load

7.0 PPG59th event percentile

Questions for film

01
How stable is this profile over a larger game and minute sample?
02
Which shot types and advantages are driving the efficiency profile?
03
Will the rebounding translate against larger and more physical competition?

Explore full efficiency + production profile

//impact_fingerprint

Where the profile separates

HESI performance

8.0

8th event percentile

Prospect index

17.9

8th event percentile

Offensive efficiency

71.1

27th event percentile

Defensive efficiency

109.8

29th event percentile

Two-way margin

-38.6

27th event percentile

Stop percentage

41.8%

26th event percentile

//role_and_production

How the production is shaped

Scoring load

7.0 PPG

59th event percentile

Creation

2.0 APG

76th event percentile

Rebounding

2.0 RPG

36th event percentile

Defensive activity

1.5 stocks

53rd event percentile

Scoring efficiency

32.9% TS

23rd event percentile

How to read HESI, PI and Dean Oliver ratings

//reading_guide

How to read the dossier

HESI

Stabilized event performance

A 0–100 event-relative rank of stabilized Net Rating. Smaller samples are pulled toward neutral before players are ordered.

Prospect index

80% HESI performance, 12% competition context and 8% age context. It remains an event-scoped prospect index—not a universal ranking.

ORtg · DRtg · NRtg

Dean Oliver impact

Estimated points created and allowed per 100 possessions, plus their net difference. Lower DRtg is better.

Percentiles compare this athlete only with the published, trust-gated player pool from this event. Missing evidence stays blank and is never converted to zero.

event_signals

Automated Signals

The strongest patterns in this event sample, adjusted to the competition when event percentiles are available.

//automated_interpretation · dean_oliver + event_stats

What the numbers suggest

HESI performance sits at the 8th event percentile. The Dean Oliver profile estimates 71.1 ORtg and 109.8 DRtg, producing a -38.6 Net Rating. The clearest relative strength is creation. The lowest relative areas are scoring efficiency, defensive stops, and two-way margin.

Relative strengths

Creation
2.0 APG
76th event percentile
Assist production suggests a meaningful event-relative creation role; film must still separate advantage creation from connective passing.

Relative weaknesses

Scoring efficiency
32.9% TS
23rd event percentile
True shooting efficiency is a lower relative area in the current event sample.
Defensive stops
41.8% Stop%
26th event percentile
The estimated defensive-stop share is a lower relative area in the available sample.
Two-way margin
-38.6 NRtg
27th event percentile
The current gap between estimated offensive and defensive efficiency trails much of this event pool.

//complete_statistical_profile

Every verified signal in this event

Percentile labels compare the player with the same published event pool. Context-only values are shown without inventing a rank.

Offense and scoring

Efficiency, scoring load, shooting shape and creation.

ORtg

71.1

27th event percentile

Estimated points produced per 100 possessions.

Points

7.0 PPG

59th event percentile

Scoring volume per game.

True shooting

32.9%

23rd event percentile

Scoring efficiency including twos, threes and free throws.

Effective FG

28.2%

21st event percentile

Field-goal efficiency with extra credit for made threes.

Field goals

25.6%

22nd event percentile

Overall field-goal percentage.

Three-point shooting

10.0%

context

5.0 attempts per game

Free throws

75.0%

66th event percentile

Free-throw conversion in this event.

Floor%

33.0%

29th event percentile

Estimated share of possessions producing at least one point.

Assists

2.0 APG

76th event percentile

Recorded passing production per game.

Defense and disruption

Estimated defensive efficiency, stops and recorded activity.

DRtg

109.8

29th event percentile

Estimated points allowed per 100 possessions; lower is better.

Team DRtg

105.6

context

Team defensive baseline used by the Dean Oliver estimate.

Defensive lift

-4.1

33rd event percentile

Player DRtg is higher than the team baseline.

Stop%

41.8%

26th event percentile

Estimated share of defensive possessions ended through the player.

Recorded activity

1.5 STL+BLK

53rd event percentile

Steals plus blocks per game; it does not capture positioning or containment.

Estimated stops

19.3

context

Dean Oliver estimated defensive stops across the event sample.

Two-way and all-around impact

Net impact, stabilized performance and supporting production.

Net Rating

-38.6

27th event percentile

Raw ORtg minus DRtg.

Stabilized NRtg

-28.2

8th event percentile

Net Rating pulled toward the event median according to sample size.

HESI performance

8.0

8th event percentile

Event-relative rank of stabilized two-way performance.

Prospect index

17.9

8th event percentile

HESI performance with competition and age context.

PIE

0.6%

31st event percentile

Estimated share of positive game events while on the floor.

Rebounds

2.0 RPG

36th event percentile

Total rebounding production per game.

Sample and confidence

How much evidence supports the estimates shown above.

Games

context

Published games included in this event line.

Minutes

116.7

context

29.2 minutes per game.

Sample weight

66.0%

context

How strongly the model trusts raw Net Rating versus the event median.

Confidence

Provisional

context

Model confidence based on available games and minutes.

Event rank

#173

context

Among 188 published players.

Team possessions

317.1

context

Estimated team possessions supporting the defensive context.

model_limits

The available game and minute sample is still limited, so these relative findings may move.
This is an automated event-relative interpretation, not a scout evaluation or universal player grade.
Box scores cannot measure assignment difficulty, positioning, communication, decision quality, or off-ball value.

//competition_evidence

Where the production happened, how strong the event pool was, and every published competition supporting the profile.

competition_context

Competition

Primary competition is the highest-stature event. Best ranking evidence is the strongest event-relative finish — they may come from different events.

//primary_competition · highest_stature

FIBA U18 Asia Cup

Continental · 2026

7.0

PPG

2.0

RPG

2.0

APG

#173

RANK

competition_history

All competitions

Every published competition this player appeared in, strongest first, with its complete verified stat line.

FIBA U18 Asia Cup

Continental · 2026

#173/188view →

//quick_read

The line at a glance

7.0

PPG

2.0

RPG

2.0

APG

1.8

TOV/G

0.5

3PM/G

33%

TS%

//event_fingerprint

Performance against this field

Scoring

7.0

P59

Playmaking

2.0

P76

Rebounding

2.0

P36

True shooting

33%

P23

Two-way impact

-38.6

P27

Stops

42%

P26

//shooting_profile

Makes, attempts and efficiency

Field goals

26%

10 made / 39 attempts

3PT

Three-pointers

10%

2 made / 20 attempts

Free throws

75%

6 made / 8 attempts

Shot selection

51% of attempts from three

●2PA 19●3PA 20

//complete_box_score

Production by basketball action

scoring

PTS

7.0 / game

10–39

FGM–FGA

2–20

3PM–3PA

6–8

FTM–FTA

creation

AST

2.0 / game

TOV

1.8 / game

1.14×

AST:TOV

rebounding

REB

2.0 / game

OREB

DREB

2.0

REB/G

defense

STL

1.5 / game

BLK

0.0 / game

STL+BLK

1.5 / game

//hesi_and_dean_oliver

Efficiency and two-way impact

8.0

HESI

17.9

71.1

ORtg

109.8

DRtg

-38.6

NRtg

-28.2

Stable NRtg

42%

Stop%

33%

Floor%

28%

eFG%

PIE

105.6

Team DRtg

-4.1

Def. lift

around_this_rank

Around this rank

Event-scoped ranking within FIBA U18 Asia Cup 2026 — 188 ranked players.

rank_above · #172Song-Lin YangF · TPE

//current_rank

#173

of 188 ranked

rank_below · #174Lorenzo RavazziniC · THA

more_from_this_event

Key stats

FIBA U18 Asia Cup · 2026 — scoped to this competition pool.

7.0

PPG

2.0

RPG

2.0

APG

1.5

SPG

0.0

BPG

10%

3P%

33%

TS%

event_stats