EuroLeague player
DARRUN HILLIARD
CSKA MOSCOW · Guard (Official season position)
United States
United StatesSelected season · EuroLeague 2019–20
Selected season snapshot
- MPG
- 20.2 #93 of 226
- PPG
- 10.6 #39 of 226
- RPG
- 2.4 #115 of 226
- APG
- 1.2 #112 of 226
- PIR
- 7.1 #113 of 226
Career snapshot
Recorded EuroLeague career
- Seasons
- 5
- Games
- 150
- Clubs
- 4
- MPG
- 19.2
- PPG
- 9.2
- RPG
- 2.3
- APG
- 1.2
- PIR
- 6.8
FC BAYERN MUNICH
- PIR
- 11.9
- PPG
- 13.7
- RPG
- 3.0
- APG
- 1.9
Selected season · Per game and Per 28
Selected season statistics
Rank context
| Metric | Per game | Per 28 |
|---|---|---|
| Production | ||
| Points | 10.6#39 of 226 | 14.7#25 of 226 |
| Rebounds | 2.4#115 of 226 | 3.4#131 of 226 |
| Assists | 1.2#112 of 226 | 1.7#122 of 226 |
| Steals | 0.6#104 of 226 | 0.8#129 of 226 |
| Blocks | 0.1#123 of 226 | 0.2#134 of 226 |
| PIR | 7.1#113 of 226 | 9.8#139 of 226 |
| Plus/minus | 4.6#18 of 226 | — |
| 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% | 40.9%#134 of 167230 attempts | 40.9%#134 of 167Same rate |
| 2PT% | 40.4%#159 of 17394 attempts | 40.4%#159 of 173Same rate |
| 3PT% | 41.2%#49 of 153136 attempts | 41.2%#49 of 153Same rate |
| FT% | 79.6%#76 of 15554 attempts | 79.6%#76 of 155Same rate |
| True shooting % | 56.5%#114 of 179254 attempts | 56.5%#114 of 179Same rate |
| eFG% | 53.0%#100 of 167 | 53.0%#100 of 167Same rate |
| 3PAr | 59.1%#23 of 167 | 59.1%#23 of 167Same rate |
| FTr | 23.5%#105 of 167 | 23.5%#105 of 167Same rate |
| Possession and discipline | ||
| Raw turnover and foul ranks are withheld pending role-adjusted methodology; TOV% (lower is better) is ranked. | ||
| Turnovers | 1.7Role-dependent metric | 2.3Role-dependent metric |
| Fouls | 1.9Role-dependent metric | 2.6Role-dependent metric |
| AST/TO | 0.73Insufficient volume33 AST · 45 TO | 0.73Insufficient volumeSame ratio |
| TOV% | 15.1%#94 of 166 | 15.1%#94 of 166Same rate |
| Rebounding | ||
| Estimated rebound-opportunity rates from box-score totals and playing time, not lineup data. Ranks require a minimum on-court sample. | ||
| ORB% | 1.9%#169 of 202 | 1.9%#169 of 202Same rate |
| DRB% | 12.8%#110 of 202 | 12.8%#110 of 202Same rate |
| TRB% | 7.5%#124 of 202 | 7.5%#124 of 202Same 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% | 1.5%#112 of 202 | 1.5%#112 of 202Same rate |
| BLK% | 0.6%#112 of 202 | 0.6%#112 of 202Same rate |
| FD/28 | — | 2.2#134 of 202 |
| Sample context | ||
| Games describe the same sample; 28.0 minutes is the normalization basis. | ||
| Games | 27 | 27Same sample |
| Minutes | 20.2#93 of 226 | 28.0Normalization 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 93 qualified guards in EuroLeague 2019–20.
Overall percentile72th · Strong
#80 of 226 qualified playersPosition percentile76th · Strong
#29 of 93 qualified guardsQualified ranks include leaderboard-eligible players only. Percentiles describe the full season pool, including provisional players.
Career
Career production trend
- 2.92018-19
- 2.42019-20
- 2.02020-21
- 3.02021-22
- 1.42022-23
Rebounds 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
| Season | Club | W-L | GP | MPG | PPG | RPG | APG | PIR | FG | 3PT | FT | +/−/G | Rating | Data | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | MACCABI PLAYTIKA TEL AVIV | 18–14 | 32 | 13.5 | 5.6 | 1.4 | 1.1 | 4.1 | 40.9% | 44.7% | 96.2% | — | 49 | Complete | Qualified |
| 2021-22 | FC BAYERN MUNICH | 7–13 | 20 | 24.3 | 13.7 | 3.0 | 1.9 | 11.9 | 43.3% | 38.5% | 79.7% | −0.5 | 63 | Complete | Qualified |
| 2020-21 | CSKA MOSCOW | 25–12 | 37 | 19.4 | 8.7 | 2.0 | 1.1 | 5.9 | 38.3% | 32.7% | 85.7% | — | 50 | Complete | Qualified |
| 2019-20 | CSKA MOSCOW | 19–8 | 27 | 20.2 | 10.6 | 2.4 | 1.2 | 7.1 | 40.9% | 41.2% | 79.6% | +4.6 | 55 | Complete | Qualified |
| 2018-19 | KIROLBET BASKONIA VITORIA-GASTEIZ | 16–18 | 34 | 20.6 | 9.4 | 2.9 | 1.1 | 6.9 | 41.3% | 32.2% | 77.5% | +1.9 | 50 | Complete | Qualified |
W-Lrepresents the team’s win–loss record only in games where the player appeared.
Career
Career overview
DARRUN HILLIARD has played 5 EuroLeague seasons across 4 clubs.
The best recorded PIR season is 2021-22 at 11.8 PIR per game.
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.
- External source
- Official EuroLeague profile (opens in a new tab) ↗
- Selected-season context
- Figures on this page reflect EuroLeague 2019–20, refreshed periodically from imported season data.