Hesi Sports Consulting//home_of_hesi_scout

Unclaimed

event_player · FIBA U17 Basketball World Cup 2026

Jodi Abdalla

EGY · b. 2009

//measurables

187 cm

HEIGHT

//15_second_scouting_read

data-led profile

Rebounding-led profile

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

3.7 RPGRebounding · 65th event percentile

4.7 PPGScoring load · 52nd event percentile

40.3
HESI v2.1: #116
of 192: 70%
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 U17 Basketball World Cup2026

Rank #116 of 192 · Established

HESI v2.1

HESI

40.3

Event performance

40th event percentile

46.8

Prospect index

40th event percentile

ORtg

80.7

Points / 100 poss.

43rd event percentile

DRtg

86.8

Lower is better

38th event percentile

NRtg

-6.1

Two-way margin

42nd event percentile

Offensive evidence

ORtg 80.7 · 43rd event percentile

Defensive evidence

DRtg 86.8 · Stop% 49.7% · Team DRtg 81.3

Sample context

7 games · 140 minutes · 70% weight

//statistical_read · not_a_scout_grade

Rebounding-led profileevent-relative description

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

Rebounding

3.7 RPG65th event percentile

Scoring load

4.7 PPG52nd event percentile

Questions for film

01
Does the film show repeatable advantage creation or mostly connective passing?
02
Do the steals and blocks come from disciplined reads, physical tools, or higher-risk activity?

Explore full efficiency + production profile

//impact_fingerprint

Where the profile separates

HESI performance

40.3

40th event percentile

Prospect index

46.8

40th event percentile

Offensive efficiency

80.7

43rd event percentile

Defensive efficiency

86.8

38th event percentile

Two-way margin

-6.1

42nd event percentile

Stop percentage

49.7%

27th event percentile

//role_and_production

How the production is shaped

Scoring load

4.7 PPG

52nd event percentile

Creation

0.6 APG

24th event percentile

Rebounding

3.7 RPG

65th event percentile

Defensive activity

0.4 stocks

32nd event percentile

Scoring efficiency

35.8% TS

33rd 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 40th event percentile. The Dean Oliver profile estimates 80.7 ORtg and 86.8 DRtg, producing a -6.1 Net Rating. The lowest relative areas are creation, defensive stops, and defensive activity.

Relative strengths

No available metric currently clears the 65th event percentile.

Relative weaknesses

Creation
0.6 APG
24th event percentile
Assist production is a lower relative area; the model cannot determine unrecorded creation or role constraints.
Defensive stops
49.7% Stop%
27th event percentile
The estimated defensive-stop share is a lower relative area in the available sample.
Defensive activity
0.4 steals + blocks/G
32nd event percentile
Recorded steals and blocks are a lower relative area; this does not measure positioning, containment, or communication.

//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

80.7

43rd event percentile

Estimated points produced per 100 possessions.

Points

4.7 PPG

52nd event percentile

Scoring volume per game.

True shooting

35.8%

33rd event percentile

Scoring efficiency including twos, threes and free throws.

Effective FG

33.3%

35th event percentile

Field-goal efficiency with extra credit for made threes.

Field goals

33.3%

49th event percentile

Overall field-goal percentage.

Three-point shooting

0.0%

context

0.4 attempts per game

Free throws

43.8%

25th event percentile

Free-throw conversion in this event.

Floor%

42.1%

65th event percentile

Estimated share of possessions producing at least one point.

Assists

0.6 APG

24th event percentile

Recorded passing production per game.

Defense and disruption

Estimated defensive efficiency, stops and recorded activity.

DRtg

86.8

38th event percentile

Estimated points allowed per 100 possessions; lower is better.

Team DRtg

81.3

context

Team defensive baseline used by the Dean Oliver estimate.

Defensive lift

-5.4

23rd event percentile

Player DRtg is higher than the team baseline.

Stop%

49.7%

27th event percentile

Estimated share of defensive possessions ended through the player.

Recorded activity

0.4 STL+BLK

32nd event percentile

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

Estimated stops

27.3

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

-6.1

42nd event percentile

Raw ORtg minus DRtg.

Stabilized NRtg

-4.2

40th event percentile

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

HESI performance

40.3

40th event percentile

Event-relative rank of stabilized two-way performance.

Prospect index

46.8

40th event percentile

HESI performance with competition and age context.

PIE

2.2%

45th event percentile

Estimated share of positive game events while on the floor.

Rebounds

3.7 RPG

65th 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

139.6

context

19.9 minutes per game.

Sample weight

69.9%

context

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

Confidence

Established

context

Model confidence based on available games and minutes.

Event rank

#116

context

Among 192 published players.

Team possessions

550.9

context

Estimated team possessions supporting the defensive context.

model_limits

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 U17 Basketball World Cup

World Cup · 2026

4.7

PPG

3.7

RPG

0.6

APG

#116

RANK

competition_history

All competitions

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

FIBA U17 Basketball World Cup

World Cup · 2026

#116/192view →

//quick_read

The line at a glance

4.7

PPG

3.7

RPG

0.6

APG

0.4

TOV/G

0.0

3PM/G

36%

TS%

//event_fingerprint

Performance against this field

Scoring

4.7

P52

Playmaking

0.6

P24

Rebounding

3.7

P65

True shooting

36%

P33

Two-way impact

-6.1

P42

Stops

50%

P27

//shooting_profile

Makes, attempts and efficiency

Field goals

33%

13 made / 39 attempts

3PT

Three-pointers

0 made / 3 attempts

Free throws

44%

7 made / 16 attempts

Shot selection

8% of attempts from three

●2PA 36●3PA 3

//complete_box_score

Production by basketball action

scoring

PTS

4.7 / game

13–39

FGM–FGA

0–3

3PM–3PA

7–16

FTM–FTA

creation

AST

0.6 / game

TOV

0.4 / game

1.33×

AST:TOV

rebounding

REB

3.7 / game

OREB

DREB

3.7

REB/G

defense

STL

0.3 / game

BLK

0.1 / game

STL+BLK

0.4 / game

//hesi_and_dean_oliver

Efficiency and two-way impact

40.3

HESI

46.8

80.7

ORtg

86.8

DRtg

-6.1

NRtg

-4.2

Stable NRtg

50%

Stop%

42%

Floor%

33%

eFG%

PIE

81.3

Team DRtg

-5.4

Def. lift

around_this_rank

Around this rank

Event-scoped ranking within FIBA U17 Basketball World Cup 2026 — 192 ranked players.

rank_above · #115Ying FengCHN

//current_rank

#116

of 192 ranked

rank_below · #117Jelizaveta NaidjonovaLAT

more_from_this_event

Key stats

FIBA U17 Basketball World Cup · 2026 — scoped to this competition pool.

4.7

PPG

3.7

RPG

0.6

APG

0.3

SPG

0.1

BPG

3P%

36%

TS%

event_stats