Hesi Sports Consulting//home_of_hesi_scout

Unclaimed

event_player · FIBA U18 Asia Cup 2026

Daehyeon KWEON

Forward · KOR · b. 2008

//measurables

190 cm

HEIGHT

//15_second_scouting_read

data-led profile

Scoring efficiency-led profile

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

49.5% TSScoring efficiency · 59th event percentile

6.2 PPGScoring load · 52nd event percentile

56.1
HESI v2.1: #83
of 188: 51%
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 #83 of 188 · Provisional

HESI v2.1

HESI

56.1

Event performance

56th event percentile

56.4

Prospect index

56th event percentile

ORtg

98.1

Points / 100 poss.

59th event percentile

DRtg

100.5

Lower is better

57th event percentile

NRtg

-2.4

Two-way margin

58th event percentile

Offensive evidence

ORtg 98.1 · 59th event percentile

Defensive evidence

DRtg 100.5 · Stop% 47.9% · Team DRtg 97.6

Sample context

5 games · 64 minutes · 51% weight

//statistical_read · not_a_scout_grade

Scoring efficiency-led profileevent-relative description

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

Scoring efficiency

49.5% TS59th event percentile

Scoring load

6.2 PPG52nd event percentile

Questions for film

01
How stable is this profile over a larger game and minute sample?
02
Does the film show repeatable advantage creation or mostly connective passing?
03
Will the rebounding translate against larger and more physical competition?

Explore full efficiency + production profile

//impact_fingerprint

Where the profile separates

HESI performance

56.1

56th event percentile

Prospect index

56.4

56th event percentile

Offensive efficiency

98.1

59th event percentile

Defensive efficiency

100.5

57th event percentile

Two-way margin

-2.4

58th event percentile

Stop percentage

47.9%

42nd event percentile

//role_and_production

How the production is shaped

Scoring load

6.2 PPG

52nd event percentile

Creation

0.6 APG

32nd event percentile

Rebounding

2.4 RPG

44th event percentile

Defensive activity

0.6 stocks

45th event percentile

Scoring efficiency

49.5% TS

59th 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 56th event percentile. The Dean Oliver profile estimates 98.1 ORtg and 100.5 DRtg, producing a -2.4 Net Rating. The lowest relative area is creation.

Relative strengths

No available metric currently clears the 65th event percentile.

Relative weaknesses

Creation
0.6 APG
32nd event percentile
Assist production is a lower relative area; the model cannot determine unrecorded creation or role constraints.

//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

98.1

59th event percentile

Estimated points produced per 100 possessions.

Points

6.2 PPG

52nd event percentile

Scoring volume per game.

True shooting

49.5%

59th event percentile

Scoring efficiency including twos, threes and free throws.

Effective FG

46.7%

61st event percentile

Field-goal efficiency with extra credit for made threes.

Field goals

43.3%

65th event percentile

Overall field-goal percentage.

Three-point shooting

18.2%

context

2.2 attempts per game

Free throws

100.0%

94th event percentile

Free-throw conversion in this event.

Floor%

44.6%

59th event percentile

Estimated share of possessions producing at least one point.

Assists

0.6 APG

32nd event percentile

Recorded passing production per game.

Defense and disruption

Estimated defensive efficiency, stops and recorded activity.

DRtg

100.5

57th event percentile

Estimated points allowed per 100 possessions; lower is better.

Team DRtg

97.6

context

Team defensive baseline used by the Dean Oliver estimate.

Defensive lift

-2.9

44th event percentile

Player DRtg is higher than the team baseline.

Stop%

47.9%

42nd event percentile

Estimated share of defensive possessions ended through the player.

Recorded activity

0.6 STL+BLK

45th event percentile

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

Estimated stops

12.6

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

-2.4

58th event percentile

Raw ORtg minus DRtg.

Stabilized NRtg

-5.1

56th event percentile

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

HESI performance

56.1

56th event percentile

Event-relative rank of stabilized two-way performance.

Prospect index

56.4

56th event percentile

HESI performance with competition and age context.

PIE

2.2%

53rd event percentile

Estimated share of positive game events while on the floor.

Rebounds

2.4 RPG

44th 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

63.6

context

12.7 minutes per game.

Sample weight

51.5%

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

#83

context

Among 188 published players.

Team possessions

497.1

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

6.2

PPG

2.4

RPG

0.6

APG

#83

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

#83/188view →

//quick_read

The line at a glance

6.2

PPG

2.4

RPG

0.6

APG

0.6

TOV/G

0.4

3PM/G

50%

TS%

//event_fingerprint

Performance against this field

Scoring

6.2

P52

Playmaking

0.6

P32

Rebounding

2.4

P44

True shooting

50%

P59

Two-way impact

-2.4

P58

Stops

48%

P42

//shooting_profile

Makes, attempts and efficiency

Field goals

43%

13 made / 30 attempts

3PT

Three-pointers

18%

2 made / 11 attempts

Free throws

100%

3 made / 3 attempts

Shot selection

37% of attempts from three

●2PA 19●3PA 11

//complete_box_score

Production by basketball action

scoring

PTS

6.2 / game

13–30

FGM–FGA

2–11

3PM–3PA

3–3

FTM–FTA

creation

AST

0.6 / game

TOV

0.6 / game

1.00×

AST:TOV

rebounding

REB

2.4 / game

OREB

DREB

2.4

REB/G

defense

STL

0.4 / game

BLK

0.2 / game

STL+BLK

0.6 / game

//hesi_and_dean_oliver

Efficiency and two-way impact

56.1

HESI

56.4

98.1

ORtg

100.5

DRtg

-2.4

NRtg

-5.1

Stable NRtg

48%

Stop%

45%

Floor%

47%

eFG%

PIE

97.6

Team DRtg

-2.9

Def. lift

around_this_rank

Around this rank

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

rank_above · #82Shahee Rizan Mohamed ShiyamG · SRI, QAT

//current_rank

#83

of 188 ranked

rank_below · #84MARCUS JAYDEN CHENSG · TPE, USA

more_from_this_event

Key stats

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

6.2

PPG

2.4

RPG

0.6

APG

0.4

SPG

0.2

BPG

18%

3P%

50%

TS%

event_stats