Hesi Sports Consulting//home_of_hesi_scout

Unclaimed

event_player · FIBA U18 Asia Cup 2026

SOHEYL SOLEYMAN NEZHAD

Small Forward · IRI · b. 2008

//measurables

196 cm

HEIGHT

//15_second_scouting_read

data-led profile

Two-way event impact

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

automated_event_signals

13.3 PPGScoring load · 90th event percentile

2.9 APGCreation · 86th event percentile

87.2
HESI v2.1: #25
of 188: 74%
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 #25 of 188 · Established

HESI v2.1

HESI

87.2

Event performance

87th event percentile

81.2

Prospect index

87th event percentile

ORtg

120.6

Points / 100 poss.

83rd event percentile

DRtg

94.2

Lower is better

73rd event percentile

NRtg

+26.4

Two-way margin

82nd event percentile

Offensive evidence

ORtg 120.6 · 83rd event percentile

Defensive evidence

DRtg 94.2 · Stop% 57.1% · Team DRtg 94.0

Sample context

7 games · 172 minutes · 74% weight

//statistical_read · not_a_scout_grade

Two-way event impactevent-relative description

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

Scoring load

13.3 PPG90th event percentile

Creation

2.9 APG86th event percentile

Questions for film

01
Which shot types and advantages are driving the efficiency profile?
02
Will the rebounding translate against larger and more physical competition?

Explore full efficiency + production profile

//impact_fingerprint

Where the profile separates

HESI performance

87.2

87th event percentile

Prospect index

81.2

87th event percentile

Offensive efficiency

120.6

83rd event percentile

Defensive efficiency

94.2

73rd event percentile

Two-way margin

+26.4

82nd event percentile

Stop percentage

57.1%

69th event percentile

//role_and_production

How the production is shaped

Scoring load

13.3 PPG

90th event percentile

Creation

2.9 APG

86th event percentile

Rebounding

4.7 RPG

73rd event percentile

Defensive activity

2.0 stocks

75th event percentile

Scoring efficiency

54.2% TS

71st 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.

P90
Scorer
13.3 PPG · 90th event percentile

//automated_interpretation · dean_oliver + event_stats

What the numbers suggest

HESI performance sits at the 87th event percentile. The Dean Oliver profile estimates 120.6 ORtg and 94.2 DRtg, producing a +26.4 Net Rating. The clearest relative strengths are scoring load, creation, and offensive efficiency.

Relative strengths

Scoring load
13.3 PPG
90th event percentile
Scoring volume stands out relative to players in the same published event pool.
Creation
2.9 APG
86th event percentile
Assist production suggests a meaningful event-relative creation role; film must still separate advantage creation from connective passing.
Offensive efficiency
120.6 ORtg
83rd event percentile
The Dean Oliver estimate places offensive production per 100 possessions among the stronger results in this event.

Relative weaknesses

No available metric falls at or below the 40th event percentile. Film may still reveal skill-level weaknesses.

//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

120.6

83rd event percentile

Estimated points produced per 100 possessions.

Points

13.3 PPG

90th event percentile

Scoring volume per game.

True shooting

54.2%

71st event percentile

Scoring efficiency including twos, threes and free throws.

Effective FG

51.9%

73rd event percentile

Field-goal efficiency with extra credit for made threes.

Field goals

42.0%

58th event percentile

Overall field-goal percentage.

Three-point shooting

34.0%

context

6.7 attempts per game

Free throws

81.8%

78th event percentile

Free-throw conversion in this event.

Floor%

50.5%

75th event percentile

Estimated share of possessions producing at least one point.

Assists

2.9 APG

86th event percentile

Recorded passing production per game.

Defense and disruption

Estimated defensive efficiency, stops and recorded activity.

DRtg

94.2

73rd event percentile

Estimated points allowed per 100 possessions; lower is better.

Team DRtg

94.0

context

Team defensive baseline used by the Dean Oliver estimate.

Defensive lift

-0.2

61st event percentile

Player DRtg is higher than the team baseline.

Stop%

57.1%

69th event percentile

Estimated share of defensive possessions ended through the player.

Recorded activity

2.0 STL+BLK

75th event percentile

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

Estimated stops

39.8

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

+26.4

82nd event percentile

Raw ORtg minus DRtg.

Stabilized NRtg

+17.5

87th event percentile

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

HESI performance

87.2

87th event percentile

Event-relative rank of stabilized two-way performance.

Prospect index

81.2

87th event percentile

HESI performance with competition and age context.

PIE

8.4%

95th event percentile

Estimated share of positive game events while on the floor.

Rebounds

4.7 RPG

73rd 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

171.6

context

24.5 minutes per game.

Sample weight

74.1%

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

#25

context

Among 188 published players.

Team possessions

569.0

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 U18 Asia Cup

Continental · 2026

13.3

PPG

4.7

RPG

2.9

APG

#25

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

#25/188view →

//quick_read

The line at a glance

13.3

PPG

4.7

RPG

2.9

APG

1.0

TOV/G

2.3

3PM/G

54%

TS%

//event_fingerprint

Performance against this field

Scoring

13.3

P90

Playmaking

2.9

P86

Rebounding

4.7

P73

True shooting

54%

P71

Two-way impact

+26.4

P82

Stops

57%

P69

//shooting_profile

Makes, attempts and efficiency

Field goals

42%

34 made / 81 attempts

3PT

Three-pointers

34%

16 made / 47 attempts

Free throws

82%

9 made / 11 attempts

Shot selection

58% of attempts from three

●2PA 34●3PA 47

//complete_box_score

Production by basketball action

scoring

PTS

13.3 / game

34–81

FGM–FGA

16–47

3PM–3PA

9–11

FTM–FTA

creation

AST

2.9 / game

TOV

1.0 / game

2.86×

AST:TOV

rebounding

REB

4.7 / game

OREB

DREB

4.7

REB/G

defense

STL

1.7 / game

BLK

0.3 / game

STL+BLK

2.0 / game

//hesi_and_dean_oliver

Efficiency and two-way impact

87.2

HESI

81.2

120.6

ORtg

94.2

DRtg

+26.4

NRtg

+17.5

Stable NRtg

57%

Stop%

51%

Floor%

52%

eFG%

PIE

94.0

Team DRtg

-0.2

Def. lift

around_this_rank

Around this rank

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

rank_above · #24Xuan HaoF · CHN

//current_rank

#25

of 188 ranked

rank_below · #26Jackson BallG · NZL

more_from_this_event

Key stats

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

13.3

PPG

4.7

RPG

2.9

APG

1.7

SPG

0.3

BPG

34%

3P%

54%

TS%

event_stats