EuroLeague player

GOKSENIN KOKSAL

GALATASARAY ODEABANK ISTANBUL · Guard (Official season position)

TürkiyeSeason 2016–17

Official EuroLeague profile (opens in a new tab)

Selected season · EuroLeague 2016–17

Selected season snapshot

MPG
14.6
#145 of 177
PPG
3.5
#161 of 177
RPG
1.3
#162 of 177
APG
0.8
#117 of 177
PIR
1.3
#173 of 177

Rating profile

Six season-relative components behind the BasketScope Rating.

Scoring9
Playmaking37
Ball security30
Rebounding22
Defensive production19
Role35

Profile summary

The profile is led by playmaking and role. Scoring is less prominent relative to the player's other components.

What do these components mean?
Scoring
Scoring volume and shooting efficiency.
Playmaking
Creation for teammates through assists.
Ball security
Decision-making balance between assists and turnovers.
Rebounding
Overall, offensive and defensive rebounding production.
Defensive production
Box-score defensive activity through steals, blocks and foul discipline.
Role
The size and consistency of the player's role during the season.

Component scores are season-relative measures. A score around 50 is near the middle of the relevant season reference groups; higher scores indicate stronger performance in that component.

Component scores are not added directly. The final BasketScope Rating applies different component weights and the approved sample rules.

Career snapshot

Recorded EuroLeague career

Selected season · Per game and Per 28

Selected season statistics

Rank context
EuroLeague 2016–17 per-game and per-28 statistics with qualified-pool rank, grouped into Production, Shooting (pace-independent -- value and rank repeated in both columns), Possession and discipline (Turnovers and Fouls show values only, no official rank) and Sample context. Currently ranked against all players.
MetricPer gamePer 28
Production
Points3.5#161 of 1776.6#162 of 177
Rebounds1.3#162 of 1772.4#153 of 177
Assists0.8#117 of 1771.6#102 of 177
Steals0.4#140 of 1770.7#129 of 177
Blocks0.0#157 of 1770.0#157 of 177
PIR1.3#173 of 1772.5#176 of 177
Plus/minus-2.2#133 of 177
Shooting · pace-independent
Percentages are pace-independent. Official ranks require minimum attempt volumes. 3PAr and FTr rank a player's position in the shot-selection distribution, not better or worse play.
FG%38.3%#141 of 15394 attempts38.3%#141 of 153Same rate
2PT%36.8%#152 of 15557 attempts36.8%#152 of 155Same rate
3PT%40.5%#42 of 12737 attempts40.5%#42 of 127Same rate
FT%50.0%#138 of 14420 attempts50.0%#138 of 144Same rate
True shooting %47.2%#150 of 160103 attempts47.2%#150 of 160Same rate
eFG%46.3%#135 of 15346.3%#135 of 153Same rate
3PAr39.4%#81 of 15339.4%#81 of 153Same rate
FTr21.3%#100 of 15321.3%#100 of 153Same rate
Possession and discipline
Raw turnover and foul ranks are withheld pending role-adjusted methodology; TOV% (lower is better) is ranked.
Turnovers0.8Role-dependent metric1.6Role-dependent metric
Fouls1.8Role-dependent metric3.5Role-dependent metric
AST/TO1.00Insufficient volume23 AST · 23 TO1.00Insufficient volumeSame ratio
TOV%18.3%#123 of 15418.3%#123 of 154Same rate
Rebounding
Estimated rebound-opportunity rates from box-score totals and playing time, not lineup data. Ranks require a minimum on-court sample.
ORB%5.7%#72 of 1755.7%#72 of 175Same rate
DRB%5.1%#172 of 1755.1%#172 of 175Same rate
TRB%5.4%#155 of 1755.4%#155 of 175Same rate
Defence & hustle
Estimated defensive rates and fouls drawn from official box-score inputs, not play-by-play. Ranks require a minimum on-court sample.
STL%1.3%#127 of 1751.3%#127 of 175Same rate
BLK%0.0%#155 of 1750.0%#155 of 175Same rate
FD/281.5#147 of 175
Sample context
Games describe the same sample; 28.0 minutes is the normalization basis.
Games2828Same sample
Minutes14.6#145 of 17728.0Normalization basis

Per 28: Projects counting statistics to a 28-minute pace. Percentages and ratios remain unchanged.

Ranking availability: Shooting ranks require minimum attempt volumes. Turnover and foul ranks are withheld pending role-adjusted methodology. Plus/minus has no Per 28 projection.

About advanced statistics

The Rebounding and Defence & hustle groups above are estimated rates. Each player-game contributes a time share = player minutes ÷ (team player-minutes ÷ 5), and the numerator (rebounds, steals, blocks) is divided by that share of the available opportunities — rebound chances (team + opponent boards), estimated opponent possessions for STL%, and opponent two-point attempts for BLK%. FD/28 is fouls drawn per 28 minutes. These are estimates from standard box-score totals and playing time, notplay-by-play, lineup or matchup data; a missing input leaves a metric unavailable (—), never a fabricated zero.

Ranks. Every advanced metric is ranked against the same qualified pool as the standard statistics and honours the All players / Same position toggle. eFG%, 3PAr and FTr require 75 field-goal attempts; TOV% requires 100 estimated scoring possessions; the estimated rebounding and defensive rates require 200on-court minutes — all in addition to the standard leaderboard eligibility, and ties share a rank. eFG% and the rebounding/defensive rates rank higher-is-better; TOV% ranks lower-is-better.

3PAr and FTr describe shot selection, not better-or-worse play: their rank shows where a player sits in the shot-selection distribution, not quality. See Data & methodology, and full formulas under How this profile is calculated below.

Selected season

Ranking and percentiles

Compared with 74 qualified guards in EuroLeague 2016–17.

Overall percentile1th · Weak
#171 of 177 qualified players
Position percentile1th · Weak
#72 of 74 qualified guards

Qualified ranks include leaderboard-eligible players only. Percentiles describe the full season pool, including provisional players.

Career

Career production trend

  • 0.42011-12
  • 0.22013-14
  • 0.82016-17

Assists per game, oldest to most recent season. Bars only -- no value is interpolated between seasons, and a missing season shows as no bar rather than zero.

Career

Club timeline

Career history

Season by season

3 recorded seasons
SeasonClubW-LGPMPGPPGRPGAPGPIRFG3PTFT+/−/GRatingDataStatus
2016-17GALATASARAY ODEABANK ISTANBUL11–172814.63.51.30.81.338.3%40.5%50.0%−2.230CompleteQualified
2013-14GALATASARAY LIV HOSPITAL ISTANBUL9–9187.01.70.40.20.539.3%29.4%57.1%30CompleteProvisional
2011-12GALATASARAY MEDICAL PARK3–5814.51.81.30.4-0.323.8%27.3%33.3%30CompleteQualified

W-Lrepresents the team’s win–loss record only in games where the player appeared.

Career

Career overview

GOKSENIN KOKSAL has played 3 EuroLeague seasons across 1 club.

The best recorded PIR season is 2016-17 at 1.3 PIR per game.

Games54
Starts28
Points142
Rebounds52
Assists30
Career PIR43
How this profile is calculated
Statistical basis
The rating, components, production and efficiency figures shown here are computed from the selected season’s recorded box scores only -- no other season is blended in.
Peer comparison
Qualified ranks and percentiles compare this player against other leaderboard-eligible players in the same season, narrowed to a position peer group when one is available.
Sample confidence
A limited games/minutes sample lowers confidence and can make the season provisional, which excludes it from qualified rankings.
Shooting rank thresholds
Shooting-percentage ranks require the same qualification rule above, plus a minimum attempt volume for that metric: FG% 75 attempts, 2PT% 40 attempts, 3PT% 30 attempts, FT% 20 attempts, True shooting % 75 TS attempts. Ranks are calculated only among players meeting that same threshold. Pace normalization (Per 28) does not change percentages or ratios, so their value and rank repeat unchanged in both columns. Turnover and foul ranks are withheld pending a role-adjusted methodology.
Shooting efficiency
TS%, eFG%, 3PAr and FTr are computed from this season’s official box-score totals, summed across every club stint before dividing. TS% = points / (2 × (FGA + 0.44 × FTA)), eFG% = (FGM + 0.5 × 3PM) / FGA, 3PAr = 3PA / FGA and FTr = FTA / FGA (free-throw attempts, not makes), with FGA = 2PA + 3PA. 3PAr and FTr describe shot selection and are shown as neutral profile measures — no rank, percentile or colour. A metric is left unavailable (—) when an input is missing or there are no attempts; it is never shown as zero. These metrics are part of the standard-data Advanced Analytics foundation and may inform a future rating generation; publishing them does not affect the currently deployed BasketScope Rating, whose TS% uses the identical denominator.
Playmaking & ball security
AST/TO and TOV% are computed from this season’s official totals, summed across every club stint before dividing. AST/TO = assists / turnovers, a plain ratio shown to two decimals (not a percentage); higher is generally favourable. With no turnovers the ratio is undefined, so it is shown as an em dash with a reason (“No turnovers recorded”), never Infinity. TOV% = TO / (FGA + 0.44 × FTA + TO), with FGA = 2PA + 3PA; lower is generally favourable. Its denominator is an estimateof scoring possessions from standard box-score inputs (field-goal attempts, free-throw attempts and turnovers) — it is notderived from collected possession or play-by-play data. A sourced zero turnovers over a positive denominator is a genuine 0.0%; a missing input or zero denominator leaves the metric unavailable (—), never zero. Both are part of the standard-data Advanced Analytics foundation and may be considered later as candidate inputs for a future rating generation; publishing them does not affect the currently deployed BasketScope Rating or its ranks.
Rebounding context
ORB%, DRB% and TRB% are estimatedrebound-opportunity percentages derived from standard box-score totals and playing time — not possession- or lineup-level measurement. For each game, a player’s time share = player minutes ÷ (team player-minutes ÷ 5), so actual team minutes set the on-court basis and overtime is handled naturally (never assumed to be 40). Opportunities per game are ORB% = team OREB + opponent DREB, DRB% = team DREB + opponent OREB, and TRB% = all four; each is scaled by time share. The player’s rebounds and these opportunity denominators are summed across every game and club stint, then divided once — never an average of per-game or per-club percentages. A metric is unavailable (—) when a required input is missing or the opportunity denominator is zero; a valid denominator with zero rebounds is a genuine 0.0%. Both are part of the standard-data Advanced Analytics foundation and may be considered later as candidate inputs for a future rating generation; richer lineup and play-by-play inputs are not part of the current standard-data methodology. Publishing them does not affect the currently deployed BasketScope Rating or its ranks.
Defensive & hustle context
STL%, BLK% and FD/28 are computed from this season’s official totals, summed across every club stint before dividing. STL% = steals / (time share × estimated opponent possessions), where estimated opponent possessions = opp 2PA + opp 3PA +  0.44 × opp FTA − opp OREB + opp TO (the 0.44 free-throw weight is the documented v1 convention). BLK% = blocks / (time share × opponent 2PA); whether a block landed on a two- or three-point attempt is not inferred, and values are not clamped. Time share = player minutes ÷ (team player-minutes ÷ 5), so actual team minutes handle overtime. Both are estimatesfrom standard box-score totals — not possession-by-possession, matchup or lineup measurement. FD/28 = fouls drawn ÷ minutes × 28, a plain per-28 rate (not a percentage, not a possession rate). A metric is unavailable (—) when a required input is missing or the opportunity denominator is zero; a valid denominator with zero steals/blocks/fouls-drawn is a genuine 0.0. All three are part of the standard-data Advanced Analytics foundation and may be considered later as candidate inputs for a future rating generation; richer lineup, play-by-play and matchup inputs are not part of the current standard-data methodology. Publishing them does not affect the currently deployed BasketScope Rating or its ranks.
AST/TO rank threshold
AST/TO ranks require at least 40 assists and 15 turnovers, in addition to general qualification -- this limits low-volume ratio outliers. AST/TO is unchanged under Per 28 normalization, so its value and rank repeat in both columns. Zero-turnover ratios are not ranked.
Position source
Guard -- Verified season record.
Data labels
Ordinary source-backed values (a listed height, an official-profile position) are shown with no label. A small, secondary label is added only where a value’s status is not obvious:
  • OfficialDirectly published by EuroLeague, a club, federation, or another primary source.
  • ReportedPublished by a credible media source but not formally confirmed.
  • EstimateApproximate value calculated or assessed from available evidence.
  • PartialData is incomplete, covers only part of the season, or is missing some records.
  • DerivedCalculated by BasketScope from underlying statistics.
Sourced vs. generated
Identity, career totals and box-score production are sourced facts. The rating, components, ranks, percentiles and summary sentences are BasketScope-generated from those facts using a fixed, deterministic method -- never an AI model.
What this does not measure
Tactical fit, leadership, off-ball defense and future potential are not measured or implied by any figure on this page.
Selected-season context
Figures on this page reflect EuroLeague 2016–17, refreshed periodically from imported season data.