ORtg
98.0
76th event percentileEstimated points produced per 100 possessions.
back_to_rankings
Unclaimed
event_player · FIBA U17 Basketball World Cup 2026
Tereza Sykorova
CZE · b. 2009
//measurables
185 cm
HEIGHT
//15_second_scouting_read
data-led profileScoring efficiency-led profile
Scoring efficiency and Creation are the clearest relative production signals in this event.
66.3% TSScoring efficiency · 99th event percentile
1.6 APGCreation · 62nd event percentile
- 70.2
- HESI v2.1
- #58
- of 192
- 64%
- 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
01
//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.
FIBA U17 Basketball World Cup2026
Rank #58 of 192 · Established
HESI
70.2
Event performance
70th event percentile
PI
70.6
Prospect index
70th event percentile
ORtg
98.0
Points / 100 poss.
76th event percentile
DRtg
84.6
Lower is better
47th event percentile
NRtg
+13.4
Two-way margin
72nd event percentile
Offensive evidence
ORtg 98.0 · 76th event percentile
Defensive evidence
DRtg 84.6 · Stop% 53.3% · Team DRtg 80.6
Sample context
7 games · 106 minutes · 64% weight
//statistical_read · not_a_scout_grade
Scoring efficiency-led profileevent-relative description
Scoring efficiency and Creation are the clearest relative production signals in this event.
Scoring efficiency
66.3% TS99th event percentile
Creation
1.6 APG62nd event percentile
Questions for film
- 01
How stable is this profile over a larger game and minute sample?
- 02
Will the rebounding translate against larger and more physical competition?
- 03
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
70.2
70th event percentile
Prospect index
70.6
70th event percentile
Offensive efficiency
98.0
76th event percentile
Defensive efficiency
84.6
47th event percentile
Two-way margin
+13.4
72nd event percentile
Stop percentage
53.3%
38th event percentile
//role_and_production
How the production is shaped
Scoring load
5.3 PPG
57th event percentile
Creation
1.6 APG
62nd event percentile
Rebounding
2.4 RPG
39th event percentile
Defensive activity
1.0 stocks
53rd event percentile
Scoring efficiency
66.3% TS
99th 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.
PI
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 70th event percentile. The Dean Oliver profile estimates 98.0 ORtg and 84.6 DRtg, producing a +13.4 Net Rating. The clearest relative strengths are scoring efficiency, offensive efficiency, and two-way margin. The lowest relative areas are defensive stops and rebounding.
Relative strengths
- 99th event percentile
Scoring efficiency
66.3% TS
True shooting efficiency compares favorably with the published event pool.
- 76th event percentile
Offensive efficiency
98.0 ORtg
The Dean Oliver estimate places offensive production per 100 possessions among the stronger results in this event.
- 72nd event percentile
Two-way margin
+13.4 NRtg
The gap between estimated offensive and defensive efficiency is a clear positive separator in this event.
Relative weaknesses
- 38th event percentile
Defensive stops
53.3% Stop%
The estimated defensive-stop share is a lower relative area in the available sample.
- 39th event percentile
Rebounding
2.4 RPG
Rebounding production sits below much of the event pool and is an area to examine against role and size.
//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.
Points
5.3 PPG
57th event percentileScoring volume per game.
True shooting
66.3%
99th event percentileScoring efficiency including twos, threes and free throws.
Effective FG
72.5%
99th event percentileField-goal efficiency with extra credit for made threes.
Field goals
70.0%
99th event percentileOverall field-goal percentage.
Three-point shooting
100.0%
context0.1 attempts per game
Free throws
44.4%
26th event percentileFree-throw conversion in this event.
Floor%
50.3%
87th event percentileEstimated share of possessions producing at least one point.
Assists
1.6 APG
62nd event percentileRecorded passing production per game.
Defense and disruption
Estimated defensive efficiency, stops and recorded activity.
DRtg
84.6
47th event percentileEstimated points allowed per 100 possessions; lower is better.
Team DRtg
80.6
contextTeam defensive baseline used by the Dean Oliver estimate.
Defensive lift
-4.0
33rd event percentilePlayer DRtg is higher than the team baseline.
Stop%
53.3%
38th event percentileEstimated share of defensive possessions ended through the player.
Recorded activity
1.0 STL+BLK
53rd event percentileSteals plus blocks per game; it does not capture positioning or containment.
Estimated stops
22.7
contextDean Oliver estimated defensive stops across the event sample.
Two-way and all-around impact
Net impact, stabilized performance and supporting production.
Net Rating
+13.4
72nd event percentileRaw ORtg minus DRtg.
Stabilized NRtg
+8.7
70th event percentileNet Rating pulled toward the event median according to sample size.
HESI performance
70.2
70th event percentileEvent-relative rank of stabilized two-way performance.
Prospect index
70.6
70th event percentileHESI performance with competition and age context.
PIE
8.3%
77th event percentileEstimated share of positive game events while on the floor.
Rebounds
2.4 RPG
39th event percentileTotal rebounding production per game.
Sample and confidence
How much evidence supports the estimates shown above.
Games
7
contextPublished games included in this event line.
Minutes
106.4
context15.2 minutes per game.
Sample weight
63.9%
contextHow strongly the model trusts raw Net Rating versus the event median.
Confidence
Established
contextModel confidence based on available games and minutes.
Event rank
#58
contextAmong 192 published players.
Team possessions
560.6
contextEstimated 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.
02
//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
7
GP
5.3
PPG
2.4
RPG
1.6
APG
#58
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
#58/192view →
//quick_read
The line at a glance
5.3
PPG
2.4
RPG
1.6
APG
1.4
TOV/G
0.1
3PM/G
66%
TS%
//event_fingerprint
Performance against this field
Scoring
5.3
P57
Playmaking
1.6
P62
Rebounding
2.4
P39
True shooting
66%
P99
Two-way impact
+13.4
P72
Stops
53%
P38
//shooting_profile
Makes, attempts and efficiency
FG
Field goals
70%
14 made / 20 attempts
3PT
Three-pointers
100%
1 made / 1 attempts
FT
Free throws
44%
8 made / 18 attempts
Shot selection
5% of attempts from three
●2PA 19●3PA 1
//complete_box_score
Production by basketball action
scoring
37
PTS
5.3 / game
14–20
FGM–FGA
1–1
3PM–3PA
8–18
FTM–FTA
creation
11
AST
1.6 / game
10
TOV
1.4 / game
1.10×
AST:TOV
13
FD
rebounding
17
REB
2.4 / game
5
OREB
12
DREB
2.4
REB/G
defense
5
STL
0.7 / game
2
BLK
0.3 / game
7
PF
7
STL+BLK
1.0 / game
//hesi_and_dean_oliver
Efficiency and two-way impact
70.2
HESI
70.6
PI
98.0
ORtg
84.6
DRtg
+13.4
NRtg
+8.7
Stable NRtg
53%
Stop%
50%
Floor%
73%
eFG%
8%
PIE
80.6
Team DRtg
-4.0
Def. lift
around_this_rank
Around this rank
Event-scoped ranking within FIBA U17 Basketball World Cup 2026 — 192 ranked players.
rank_above · #57Maria MillanCOLrank_below · #59Diocelin Zuniga HurtadoCOL
//current_rank
#58
of 192 ranked
more_from_this_event
More from this event
Other ranked players from FIBA U17 Basketball World Cup 2026.
#1
United States
11.0 PPG 5.9 RPG 2.3 APG
//event_signalShooter43% 3PT on 3.0 3PA/GComputed automatically from event data. Tap any signal to see the evidence behind it.//event_signalDisruptor3.6 steals + blocks per gameComputed automatically from event data. Tap any signal to see the evidence behind it.#56
JPN
6.1 PPG 2.1 RPG 0.6 APG
//event_signalShooter35% 3PT on 2.4 3PA/GComputed automatically from event data. Tap any signal to see the evidence behind it.#57
#59
COL
8.9 PPG 8.4 RPG 0.9 APG
//event_signalActivity8.4 RPG + 2.7 defensive plays/GComputed automatically from event data. Tap any signal to see the evidence behind it.
03
//statistical_record
Complete event-specific production lines for auditing the read without flattening different competitions together.
key_stats
Key stats
FIBA U17 Basketball World Cup · 2026 — scoped to this competition pool.
7
GP
5.3
PPG
2.4
RPG
1.6
APG
0.7
SPG
0.3
BPG
100%
3P%
66%
TS%
event_stats
Event production
Each line is scoped to one competition pool — not comparable across events.
FIBA U17 Basketball World Cup2026
7 GP · event rank #58
//quick_read
The line at a glance
5.3
PPG
2.4
RPG
1.6
APG
1.4
TOV/G
0.1
3PM/G
66%
TS%
//event_fingerprint
Performance against this field
Scoring
5.3
P57
Playmaking
1.6
P62
Rebounding
2.4
P39
True shooting
66%
P99
Two-way impact
+13.4
P72
Stops
53%
P38
//shooting_profile
Makes, attempts and efficiency
FG
Field goals
70%
14 made / 20 attempts
3PT
Three-pointers
100%
1 made / 1 attempts
FT
Free throws
44%
8 made / 18 attempts
Shot selection
5% of attempts from three
●2PA 19●3PA 1
//complete_box_score
Production by basketball action
scoring
37
PTS
5.3 / game
14–20
FGM–FGA
1–1
3PM–3PA
8–18
FTM–FTA
creation
11
AST
1.6 / game
10
TOV
1.4 / game
1.10×
AST:TOV
13
FD
rebounding
17
REB
2.4 / game
5
OREB
12
DREB
2.4
REB/G
defense
5
STL
0.7 / game
2
BLK
0.3 / game
7
PF
7
STL+BLK
1.0 / game
//hesi_and_dean_oliver
Efficiency and two-way impact
70.2
HESI
70.6
PI
98.0
ORtg
84.6
DRtg
+13.4
NRtg
+8.7
Stable NRtg
53%
Stop%
50%
Floor%
73%
eFG%
8%
PIE
80.6
Team DRtg
-4.0
Def. lift
04
//player_context
Biography, achievements, public identity, and profile ownership provide context without entering the performance rating.
player_context
The person behind the numbers
Background supplied by the athlete or verified profile source. Performance ratings remain separate from biography and achievements.
claim_this_profile
Is this you?
This profile was auto-generated from public tournament data. Claim it to connect your highlight reel, get scouted, and own your story on HESI.
data_source · fiba — statistics retain their original event attribution.