Hesi Sports Consulting//home_of_hesi_scout

Unclaimed

event_player · FIBA U18 Asia Cup 2026

Krishna Suneriya

Combo Guard · IND · b. 2009

//measurables

186 cm

HEIGHT

//15_second_scouting_read

data-led profile

Defensive activity-led profile

Defensive activity and Rebounding are the clearest relative production signals in this event.

0.0 stocksDefensive activity · 16th event percentile

0.5 RPGRebounding · 8th event percentile

31.6
HESI v2.1: #129
of 188: 10%
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 #129 of 188 · Limited sample

HESI v2.1

HESI

31.6

Event performance

32nd event percentile

36.7

Prospect index

32nd event percentile

ORtg

0.0

Points / 100 poss.

1st event percentile

DRtg

110.2

Lower is better

28th event percentile

NRtg

-110.2

Two-way margin

2nd event percentile

Offensive evidence

ORtg 0.0 · 1st event percentile

Defensive evidence

DRtg 110.2 · Stop% 40.8% · Team DRtg 103.0

Sample context

2 games · 7 minutes · 10% weight

//statistical_read · not_a_scout_grade

Defensive activity-led profileevent-relative description

Defensive activity and Rebounding are the clearest relative production signals in this event.

Defensive activity

0.0 stocks16th event percentile

Rebounding

0.5 RPG8th 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
Can the scoring load hold as defensive attention and role responsibility increase?

Explore full efficiency + production profile

//impact_fingerprint

Where the profile separates

HESI performance

31.6

32nd event percentile

Prospect index

36.7

32nd event percentile

Offensive efficiency

0.0

1st event percentile

Defensive efficiency

110.2

28th event percentile

Two-way margin

-110.2

2nd event percentile

Stop percentage

40.8%

25th event percentile

//role_and_production

How the production is shaped

Scoring load

0.0 PPG

3rd event percentile

Creation

0.0 APG

7th event percentile

Rebounding

0.5 RPG

8th event percentile

Defensive activity

0.0 stocks

16th event percentile

Scoring efficiency

0.0% TS

3rd 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 32nd event percentile. The Dean Oliver profile estimates 0.0 ORtg and 110.2 DRtg, producing a -110.2 Net Rating. The lowest relative areas are offensive efficiency, two-way margin, and scoring efficiency.

Relative strengths

No available metric currently clears the 65th event percentile.

Relative weaknesses

Offensive efficiency
0.0 ORtg
1st event percentile
The Dean Oliver estimate places offensive production per 100 possessions below much of this event pool.
Two-way margin
-110.2 NRtg
2nd event percentile
The current gap between estimated offensive and defensive efficiency trails much of this event pool.
Scoring efficiency
0.0% TS
3rd event percentile
True shooting efficiency is a lower relative area in the current event sample.

//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

0.0

1st event percentile

Estimated points produced per 100 possessions.

Points

0.0 PPG

3rd event percentile

Scoring volume per game.

True shooting

0.0%

3rd event percentile

Scoring efficiency including twos, threes and free throws.

Effective FG

0.0%

4th event percentile

Field-goal efficiency with extra credit for made threes.

Field goals

0.0%

4th event percentile

Overall field-goal percentage.

Three-point shooting

0.0%

context

0.5 attempts per game

Floor%

0.0%

1st event percentile

Estimated share of possessions producing at least one point.

Assists

0.0 APG

7th event percentile

Recorded passing production per game.

Defense and disruption

Estimated defensive efficiency, stops and recorded activity.

DRtg

110.2

28th event percentile

Estimated points allowed per 100 possessions; lower is better.

Team DRtg

103.0

context

Team defensive baseline used by the Dean Oliver estimate.

Defensive lift

-7.3

14th event percentile

Player DRtg is higher than the team baseline.

Stop%

40.8%

25th event percentile

Estimated share of defensive possessions ended through the player.

Recorded activity

0.0 STL+BLK

16th event percentile

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

Estimated stops

1.1

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

-110.2

2nd event percentile

Raw ORtg minus DRtg.

Stabilized NRtg

-18.6

32nd event percentile

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

HESI performance

31.6

32nd event percentile

Event-relative rank of stabilized two-way performance.

Prospect index

36.7

32nd event percentile

HESI performance with competition and age context.

PIE

-0.2%

14th event percentile

Estimated share of positive game events while on the floor.

Rebounds

0.5 RPG

8th 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

7.0

context

3.5 minutes per game.

Sample weight

10.4%

context

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

Confidence

Limited sample

context

Model confidence based on available games and minutes.

Event rank

#129

context

Among 188 published players.

Team possessions

315.6

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

0.0

PPG

0.5

RPG

0.0

APG

#129

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

#129/188view →

//quick_read

The line at a glance

0.0

PPG

0.5

RPG

0.0

APG

0.0

TOV/G

0.0

3PM/G

TS%

//event_fingerprint

Performance against this field

Scoring

0.0

Playmaking

0.0

Rebounding

0.5

True shooting

Two-way impact

-110.2

Stops

41%

P25

//shooting_profile

Makes, attempts and efficiency

Field goals

0 made / 2 attempts

3PT

Three-pointers

0 made / 1 attempts

Free throws

—

0 made / 0 attempts

Shot selection

50% of attempts from three

●2PA 1●3PA 1

//complete_box_score

Production by basketball action

scoring

PTS

0.0 / game

0–2

FGM–FGA

0–1

3PM–3PA

0–0

FTM–FTA

creation

AST

0.0 / game

TOV

0.0 / game

—

AST:TOV

rebounding

REB

0.5 / game

OREB

DREB

0.5

REB/G

defense

STL

0.0 / game

BLK

0.0 / game

STL+BLK

0.0 / game

//hesi_and_dean_oliver

Efficiency and two-way impact

31.6

HESI

36.7

0.0

ORtg

110.2

DRtg

-110.2

NRtg

-18.6

Stable NRtg

41%

Stop%

Floor%

eFG%

-0%

PIE

103.0

Team DRtg

-7.3

Def. lift

around_this_rank

Around this rank

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

rank_above · #128yousif Yaqoob meshaeiPG · BRN

//current_rank

#129

of 188 ranked

rank_below · #130Tetta SakuraiPG · JPN

more_from_this_event

Key stats

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

0.0

PPG

0.5

RPG

0.0

APG

0.0

SPG

0.0

BPG

3P%

TS%

event_stats