Hesi Sports Consulting//home_of_hesi_scout

Unclaimed

event_player · FIBA U17 Basketball World Cup 2026

Yunshu Pang

CHN · b. 2010

//measurables

190 cm

HEIGHT

//15_second_scouting_read

data-led profile

Two-way event impact

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

automated_event_signals

9.7 RPGRebounding · 98th event percentile

10.0 PPGScoring load · 83rd event percentile

88.5
HESI v2.1: #22
of 192: 76%
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 #22 of 192 · Established

HESI v2.1

HESI

88.5

Event performance

88th event percentile

86.5

Prospect index

89th event percentile

ORtg

102.1

Points / 100 poss.

82nd event percentile

DRtg

77.1

Lower is better

74th event percentile

NRtg

+25.0

Two-way margin

84th event percentile

Offensive evidence

ORtg 102.1 · 82nd event percentile

Defensive evidence

DRtg 77.1 · Stop% 79.8% · Team DRtg 85.4

Sample context

7 games · 191 minutes · 76% weight

//statistical_read · not_a_scout_grade

Two-way event impactevent-relative description

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

Rebounding

9.7 RPG98th event percentile

Scoring load

10.0 PPG83rd 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

88.5

88th event percentile

Prospect index

86.5

89th event percentile

Offensive efficiency

102.1

82nd event percentile

Defensive efficiency

77.1

74th event percentile

Two-way margin

+25.0

84th event percentile

Stop percentage

79.8%

93rd event percentile

//role_and_production

How the production is shaped

Scoring load

10.0 PPG

83rd event percentile

Creation

0.9 APG

40th event percentile

Rebounding

9.7 RPG

98th event percentile

Defensive activity

2.6 stocks

74th event percentile

Scoring efficiency

50.2% TS

82nd 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.

P98
Rebounder
9.7 RPG · 98th event percentile
P86
Event Impact
88.5 HESI performance · 86th event percentile
P83
Two-Way Impact
+25.0 Net Rating · 83rd event percentile
P82
Activity
9.7 RPG + 2.6 defensive plays/G · 82nd event percentile

//automated_interpretation · dean_oliver + event_stats

What the numbers suggest

HESI performance sits at the 88th event percentile. The Dean Oliver profile estimates 102.1 ORtg and 77.1 DRtg, producing a +25.0 Net Rating. The clearest relative strengths are rebounding, defensive stops, and two-way margin. The lowest relative area is creation.

Relative strengths

Rebounding
9.7 RPG
98th event percentile
Rebounding production is a clear relative contribution within this event.
Defensive stops
79.8% Stop%
93rd event percentile
The estimated share of defensive possessions ended through the player’s contribution is relatively strong.
Two-way margin
+25.0 NRtg
84th event percentile
The gap between estimated offensive and defensive efficiency is a clear positive separator in this event.

Relative weaknesses

Creation
0.9 APG
40th 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

102.1

82nd event percentile

Estimated points produced per 100 possessions.

Points

10.0 PPG

83rd event percentile

Scoring volume per game.

True shooting

50.2%

82nd event percentile

Scoring efficiency including twos, threes and free throws.

Effective FG

47.5%

81st event percentile

Field-goal efficiency with extra credit for made threes.

Field goals

46.7%

88th event percentile

Overall field-goal percentage.

Three-point shooting

12.5%

context

1.1 attempts per game

Free throws

59.1%

51st event percentile

Free-throw conversion in this event.

Floor%

50.9%

89th event percentile

Estimated share of possessions producing at least one point.

Assists

0.9 APG

40th event percentile

Recorded passing production per game.

Defense and disruption

Estimated defensive efficiency, stops and recorded activity.

DRtg

77.1

74th event percentile

Estimated points allowed per 100 possessions; lower is better.

Team DRtg

85.4

context

Team defensive baseline used by the Dean Oliver estimate.

Defensive lift

+8.4

95th event percentile

Player DRtg is lower than the team baseline.

Stop%

79.8%

93rd event percentile

Estimated share of defensive possessions ended through the player.

Recorded activity

2.6 STL+BLK

74th event percentile

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

Estimated stops

57.6

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

+25.0

84th event percentile

Raw ORtg minus DRtg.

Stabilized NRtg

+19.1

88th event percentile

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

HESI performance

88.5

88th event percentile

Event-relative rank of stabilized two-way performance.

Prospect index

86.5

89th event percentile

HESI performance with competition and age context.

PIE

10.5%

93rd event percentile

Estimated share of positive game events while on the floor.

Rebounds

9.7 RPG

98th 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

190.5

context

27.2 minutes per game.

Sample weight

76.0%

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

#22

context

Among 192 published players.

Team possessions

530.2

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

10.0

PPG

9.7

RPG

0.9

APG

#22

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

#22/192view →

//quick_read

The line at a glance

10.0

PPG

9.7

RPG

0.9

APG

1.6

TOV/G

0.1

3PM/G

50%

TS%

//event_fingerprint

Performance against this field

Scoring

10.0

P83

Playmaking

0.9

P40

Rebounding

9.7

P98

True shooting

50%

P82

Two-way impact

+25.0

P84

Stops

80%

P93

//shooting_profile

Makes, attempts and efficiency

Field goals

47%

28 made / 60 attempts

3PT

Three-pointers

13%

1 made / 8 attempts

Free throws

59%

13 made / 22 attempts

Shot selection

13% of attempts from three

●2PA 52●3PA 8

//complete_box_score

Production by basketball action

scoring

PTS

10.0 / game

28–60

FGM–FGA

1–8

3PM–3PA

13–22

FTM–FTA

creation

AST

0.9 / game

TOV

1.6 / game

0.55×

AST:TOV

rebounding

REB

9.7 / game

OREB

DREB

9.7

REB/G

defense

STL

2.3 / game

BLK

0.3 / game

STL+BLK

2.6 / game

//hesi_and_dean_oliver

Efficiency and two-way impact

88.5

HESI

86.5

102.1

ORtg

77.1

DRtg

+25.0

NRtg

+19.1

Stable NRtg

80%

Stop%

51%

Floor%

48%

eFG%

11%

PIE

85.4

Team DRtg

+8.4

Def. lift

around_this_rank

Around this rank

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

rank_above · #21Sarai TeijeiraSpain

//current_rank

#22

of 192 ranked

rank_below · #23Matilda TroutAUS

more_from_this_event

Key stats

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

10.0

PPG

9.7

RPG

0.9

APG

2.3

SPG

0.3

BPG

13%

3P%

50%

TS%

event_stats