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UBA Season 3 — 240 fixtures

UBA

SEASON 3 / DISSECTED

Every figure below is computed from the season's counting stats. Nothing is hand-entered, and every percentage, rate and rating is derived from those counts. Hover any statistic for a plain-English explanation.

16 teams and 189 players across 240 games — including the 65 who wore more than one shirt.

Points / team / game
99.8
True shooting
67.1%
Total points
47,889
Dunks
6,456
16 teams 189 players 240 games 47,889 points 99.8 points per team 41.2% from three 67.1% true shooting 6,456 dunks

01 / Did you know

THE SEASON, IN FACTS

88 claims, each computed from the data — none written by hand

  • LEAGUE

    01

    47,889

    47,889 points were scored in 240 games.

    Across 16 teams and a 30-game season, the league averaged 99.8 points, 28.4 rebounds and 25.8 assists per team per night.

  • LEAGUE

    02

    30.1%

    30.1% of every shot taken this season was a three.

    4,106 of 19,656 made baskets came from beyond the arc, at 41.2%. That is 8.6 threes per team per game.

  • VOLUME

    03

    6,456

    6,456 dunks, 32.8% of every made basket.

    That is 13.4 per team per game — and the single most prolific finisher is Zay Russell with 178.

  • LEAGUE

    04

    63.0%

    63.0% of made baskets were assisted.

    12,378 assists on 19,656 made field goals, or 25.8 assists per team per night.

  • EFFICIENCY

    05

    87.9%

    Ace Haskins posted the best true shooting mark of anyone with real volume.

    1,042 points on 519 field-goal and 168 free-throw attempts. Their effective field-goal percentage was 82.8%.

  • EFFICIENCY

    06

    41.0%

    Khal Perfecto carried the heaviest load of anyone shooting above league average.

    A 41.0% usage rate while still clearing the league's 67.1% true shooting, on 1.7 points per shot attempt.

  • EFFICIENCY

    07

    77.3%

    NYE shot the ball better than any other roster.

    77.3% true shooting and 75.9% effective field goal, on the way to 116.7 points per game.

  • DEPTH

    08

    +40.1

    NYE out-scored DCS by 40.1 points a night.

    116.7 points per game against 76.6. On the same night, NYE also took 18.9% of their shots from three against DCS's 39.2%.

  • VOLUME

    09

    1,042

    Ace Haskins led the league in scoring with 1,042 points.

    That is 24 clear of Zay Russell, at 40.1 per game across 26 appearances for OAK and TOR.

  • VOLUME

    10

    10.1

    T.D. Henderson-Carter averaged 10.1 assists per game.

    273 assists in 27 games — an assist rate of 42.8%, meaning they were credited with roughly 43 in every hundred teammate baskets while on the floor.

  • VOLUME

    11

    10.2

    LaShawn Cunningham pulled down 10.2 rebounds a game.

    296 boards, an estimated rebound rate of 24.9% — the opportunity-weighted share of available rebounds taken while on the floor.

  • MIGRATION

    12

    65

    65 of 189 players appeared for more than one team.

    That is 34.4% of the league. Every stint is stored separately, so a mid-season move splits a player's season rather than hiding it.

  • MIGRATION

    13

    5 teams

    Lou Hall played for 5 different teams in one season.

    HOU (14 GP) → VAN (10 GP) → CHI (5 GP) → LAR (1 GP) → VBN (1 GP)

  • MIGRATION

    14

    48.7%

    DJ Mull split a season almost exactly down the middle.

    362 minutes for LAR, 344 for HOU — 48.7% of their season on the second stop.

  • PROFILE

    15

    69.3%

    Drake Babineau took 69.3% of their shots from three.

    169 of 244 attempts came from beyond the arc, converting 64 of them at 37.9%.

  • PROFILE

    16

    56.5%

    56.5% of Nicky Barnes's made baskets were dunks.

    95 dunks against 168 made field goals, the highest share of rim finishes in the league.

  • PROFILE

    17

    6.30

    Rex Jordan posted the cleanest assist-to-turnover ratio in the league.

    145 assists against 23 turnovers, with a 11.8% turnover rate on the possessions they used.

  • PROFILE

    18

    71.7%

    Cs were the most accurate position group at 71.7% from the field.

    Against 51.1% for PGs — a 20.6 point gap across every position group that logged real minutes.

  • DEPTH

    19

    29.4%

    LVS leaned on one player for 29.4% of their scoring.

    Khal Perfecto produced 975 of the team's 3,321 points. They used a 41.0% usage rate and a 13.3% share of the team's minutes.

  • DEPTH

    20

    37

    37 players are on two-way contracts, and 13 of them never logged a minute.

    24 did get on the floor. The rest carry a listing and nothing else.

  • DEPTH

    21

    12.7

    HOU spread the scoring as widely as anyone — 12.7 effective scorers.

    Their points are distributed as if 12.7 players were sharing them evenly, against 6.2 for NYE, the most concentrated attack in the league — where Angel Torres alone took 15.9% of the minutes. This is a shape, not a score: a deep roster is harder to guard, and one scorer is easier to take away.

  • DEPTH

    22

    52.5%

    HOU scored 52.5% of its points outside its five most-used players.

    Minutes decide who the starters were; the rest of the roster still put up 52.5% of the scoring, on a roster of 26 whose rotation ran 23 deep.

  • MIGRATION

    23

    100.0%

    NYE scored 100.0% of its points through players who never changed teams.

    100.0% of NYE's scoring came from players who spent the whole season there, against 19.2% for OAK — the most rebuilt roster in the league. Same totals, two different ways of building a team.

  • EFFICIENCY

    24

    +20.7

    NYE won the possession battle by 20.7 points per 100 possessions.

    An offensive rating of 144.3 against a defensive rating of 123.5 — while DCS, at the other end, finished -41.6 across 30 games. Net rating accounts for both ends and for pace, which is why it beats raw scoring as a predictor.

  • RECORD

    25

    25-5

    TOR finished 25-5, the best record in the league.

    A 83.3% win rate, outscoring opponents by 11.2 points a night. The Pythagorean expectation says that record was worth 24.3 wins, so the margin agrees with the standings.

  • RECORD

    26

    0-30

    DCS went the whole season without a win.

    30 games, 2,383 points scored and 3,334 conceded. Their offensive rating of 104.1 was the lowest in the league and their defensive rating of 145.7 the highest — a team that was beaten at both ends rather than unlucky at one.

  • EFFICIENCY

    27

    144.3

    NYE scored 144.3 points per 100 possessions.

    3,535 points in 30 games at a pace of 81.7 — so the number is not simply a team playing fast. On a per-possession basis nobody scored more efficiently.

  • DEFENCE

    28

    123.3

    CHI conceded just 123.3 points per 100 possessions.

    The best defensive rating in the league, and CHI also held opponents to 97.2 points a game — the mark of a side that wins at the defensive end.

  • MARIUS

    29

    10.8

    NYE owns the best offence in the league and the worst turnover habit.

    144.3 points per 100 possessions, but 10.8 giveaways a game — a turnover rate of 12.2%, on 323 turnovers in 30 games. This is exactly the tension the MARIUS Score exists to price: a possession thrown away is a shot never taken.

  • MARIUS

    30

    77.2

    DAL leads the MARIUS Score at 77.2 out of 100.

    Half the score is true shooting (71.9%), 30% is assists per game (30.1) and the remaining 20% rewards ball security (7.3 turnovers a game). DCS sits bottom at 34.9 — the composite is deliberately not the same ranking as pure offence.

  • RECORD

    31

    +4.1

    LAR won 4.1 more games than their point margin deserved.

    A 10-20 record against a Pythagorean expectation of 5.9 wins from a -9.9 per-game margin. Close games are close to coin flips; a record built in them says less about quality than it looks.

  • RECORD

    32

    -4.9

    NYE lost 4.9 more games than the margin says they should have.

    3,535 points scored against 3,027 conceded over 30 games is a Pythagorean expectation of 26.9 wins, against an actual 22. The performance was better than the record — which is the single most useful thing a points-based model can tell you.

  • ANOMALY

    33

    143

    LVS scored 143 in a single game, the most of the season.

    Game 27, 143-138 against OAK, for a net rating of 5.6. They shot 52 of 68 from the field and made 10 threes. Across the season LVS averaged 110.7.

  • ANOMALY

    34

    47

    DCS managed just 47 points in game 22.

    A 47-128 loss — a net rating of -109.6, the worst single-night figure in the log. They made 20 field goals and missed 28 threes, and the game still counted the same in the standings.

  • ANOMALY

    35

    81

    OAK beat DCS by 81, the biggest blowout of the season.

    128-47 in game 22 — DCS were held to 47 points and a net rating of -109.6. The log contains 192 twenty-point-plus results out of 479 team games.

  • ANOMALY

    36

    4

    4 team games were decided by a single point.

    The highest-scoring of them: DAL 136, LVS 137 in game 18 — 273 points between them and one basket in it at the end.

  • VOLUME

    37

    281

    281 points were scored in a single game.

    LVS 143, OAK 138 in game 27 — on 89.5 possessions each way, a pace far above the league's 78.1.

  • RECORD

    38

    53.3%

    VBN won 53.3% of their home games and 26.7% of their away games.

    8-7 in front of their own crowd, 4-11 on the road — the widest home-and-away gap in the league. Across all 237 home games in the log the home side won 50.6%, so a split this lopsided is about this team rather than about the schedule.

  • CONTEXT

    39

    -1.4

    Home teams were outscored by 1.4 points a game.

    That is the whole league, over 237 games where the home side is known, and it is the baseline every team is measured against — a home-court advantage only means something when it beats this. Read against a roster's own home and road margins, it separates a team that is genuinely good from one that simply likes its own gym.

  • CONTEXT

    40

    +7.1

    VBN gained 7.1 points a game from playing at home.

    They beat opponents by 1.5 a game at home and by -5.6 on the road (8-7 at home, 4-11 away) — the biggest home-court edge in the league.

  • ANOMALY

    41

    -10.5

    TOR were better on the road than at home.

    16.1 points a game on the road against 5.6 at home — a 10.5-point swing the wrong way. In a league that mostly helps the host, that is the rarest home-court story there is.

  • STYLE

    42

    81.7

    NYE played the fastest basketball in the league at 81.7 possessions a game.

    Against 74.9 for LAR — a 6.8-possession spread, which is why raw points-per-game is a style stat and not a quality one. NYE scored 117.8 a game; LAR scored 94.0.

  • STYLE

    43

    33.6

    OAK were the most unpredictable team night to night.

    A standard deviation of 33.6 net rating points between games, against 18.8 for VBN — the steadiest side in the league. Two teams can share an average and feel nothing alike; only one of these numbers tells you which is which.

  • FOUR FACTORS

    44

    75.3%

    NYE shot 75.3% effective from the field.

    Dean Oliver's biggest factor, worth roughly 40% of winning, and NYE led it on 2,093 attempts. Their true shooting was 76.3%, and 18.8% of their shots came from three.

  • FOUR FACTORS

    45

    27.6%

    NYE recovered 27.6% of their own misses.

    190 offensive rebounds, and 6.0 second-chance points a game off them. Rebounding is the third Four Factor at about 20% of winning.

  • DEPTH

    46

    29.7

    TBS got 29.7 points a game from the bench.

    892 bench points across 30 games — about 28.7% of everything they scored. A roster that cannot score without its starters is fragile; this is the number that shows it.

  • VOLUME

    47

    79.7

    NYE scored 79.7 points a game in the paint.

    2,392 points from inside the key, 67.7% of their total. Paint points are the highest-percentage area on the floor and the thing that keeps working when the jumpers stop falling.

  • FOUR FACTORS

    48

    8.1

    SEA turned 8.1 points a game out of second chances.

    242 points on possessions that only existed because of an offensive rebound — the direct line from the rebounding Four Factor to the scoreboard. Their offensive rebound rate was 23.2%.

  • DEFENCE

    49

    4.0

    NYE blocked 4.0 shots a game, and DET took the ball away 6.7 times a game.

    119 blocks and 200 steals across the season. Counting defensive stats are noisy on their own — a block can be a mistake redeemed — so they are shown beside defensive rating rather than instead of it.

  • RECORD

    50

    71.4%

    MIN won 5 of 7 games decided by five points or fewer.

    A 71.4% rate in the closest games the log records. Close results are close to random, which is precisely why they are worth separating from the blowouts — one of these two numbers describes a skill and the other describes a coin.

  • EFFICIENCY

    51

    +12.0

    NYE tops the Simple Rating System at 12.0.

    Their own margin was 16.9 points a game, and the schedule they played was rated -5.5 — the two together make them the best side in the league once who they played is taken into account. DCS sit bottom at -29.2, which a record-first reading would not have shown.

  • CONTEXT

    52

    +1.9

    DCS played the hardest schedule in the league.

    Their opponents rated 1.9 on average, against -5.5 for NYE — the softest draw. Strength of schedule is measured over the 30 games whose opponent is known, so a record built on this schedule is a different achievement from one built on NYE's.

  • CONTEXT

    53

    4th

    TOR won like the 1st-best team but rated 4th.

    Their 25-5 came against a schedule rated -1.3, and the Simple Rating System — margin and schedule solved together — puts them at 10.4. NYE are the mirror: 3rd by wins but 1st by rating.

  • CONTRACT

    54

    $2.30B

    The league has $2.30B on the books for next season, across 183 contracts.

    That is $12.6M a player and $143.9M a team. The median deal is $12.0M, so the average is dragged up by a short list of maximum contracts rather than describing a typical player.

  • CONTRACT

    55

    $165.0M

    Every team's cap sheet implies the same salary cap: $165.0M.

    The tax line falls $50.0M above it, at $215.0M. 3 teams are over the cap and 0 are into the tax. DAL is the one club whose own figures disagree with that line.

  • CONTRACT

    56

    $55.0M

    Chester Chess is the highest-paid player in the league at $55.0M.

    That single season costs HOU more than 2.4% of the entire league's payroll.

  • CONTRACT

    57

    $2.91B

    Another $2.91B is already committed beyond this season.

    S5 and S6 salaries together are 1.3× this season's payroll — 55.9% of all money on the books lands after this year.

  • CONTRACT

    58

    0.18

    Payroll and wins barely move together this season (r = 0.18).

    A correlation of 0.18 is close to noise: the richest roster and the best record are not the same club. Money buys a floor, not a ladder.

  • CONTRACT

    59

    6.3×

    Jason Silver is the best value in the league: 6.3× the return the money would buy anywhere else.

    A point cost $41K on average; Jason Silver produced theirs for $7K, while Jeremiah Holloway (OAK) cost $333K a point. Same market, very different prices.

  • CONTRACT

    60

    $398.0M

    $398.0M comes off the books this summer, across 40 deals.

    That is 17.3% of the league's payroll turning into cap room in one off-season — the reason a quiet roster can become a player in free agency overnight.

  • CONTRACT

    61

    122

    122 contracts carry a team option, against just 5 player options.

    Add 4 mutual options and 6 no-trade or no-movement clauses, and the picture is a league where the front office, not the player, holds the leverage on almost every extra year.

  • CONTRACT

    62

    1.6×

    TBS spends 1.6× what MIN does — yet the league is remarkably flat.

    $168.4M against $103.0M, a $65.4M gap. The payroll Gini is 0.080: on a scale where 0 is every team identical and 1 is one team holding everything, this is a hard-capped league almost by construction.

  • CONTRACT

    63

    61

    61 players are headed to unrestricted free agency, 16 of them PFs.

    On top of the 28 currently unsigned, 25.0% of everyone on a roster is out of contract. That is the summer's supply; the $398.0M coming off the books is the demand.

  • CONTRACT

    64

    $843.9M

    The S1 draft class is the most expensive in the league at $843.9M.

    Its 48 players average $17.6M each, against $11.0M for the Undrafted class — the price of a class rises as its players reach their second and third deals.

  • CONTRACT

    65

    $44K

    PF is the dearest position to buy a point from, at $44K each.

    PG is the cheapest at $40K a point. PFs take 21.1% of the league payroll and PGs 17.4%, and the two rates are measured over 36 and 33 deals respectively — the cost per point covers only the players whose season line matched, so the thinner side of that pair is the softer number.

  • CONTRACT

    66

    25.5

    TOR got the most basketball per dollar of cap: 25.5 wins for every full cap spent.

    They spent $161.5M, 97.9% of the $165.0M cap, to win 25. DCS spent $160.0M, 97.0%, to win 0 — 0.0 per cap. Dividing by the cap first is what makes the two comparable: it is the same idea as dollars per win with the season's price level taken out.

  • CONTRACT

    67

    7.3

    Priced on the whole game, Jason Silver is the best deal in the league: 7.3× the return the money buys anywhere else.

    A point cost the league $41K; a Game Score — rebounds, assists, steals and blocks as well as points — cost $26K. Jason Silver produced 552.0 Game Score against a $2.0M salary, and the worst deal on the same basis, Jeremiah Holloway, returns 0.1×.

  • CONTRACT

    68

    76.5%

    $540.0M of the league's payroll is tied to players the stats export has no line for.

    That is 23.5% of $2.30B — usually a new signing with no games in this season's file. Counted by deals the match rate is 68.3%, but counted in dollars 76.5% of the money can be priced, which is the honest ceiling on every value figure on this page.

  • CONTRACT

    69

    +9.0

    TOR won 9.0 more games than its payroll predicts — the biggest overperformance in the league.

    Fitting wins on payroll across all 16 teams explains just 3.1% of the variation, so the line is almost flat and DCS sits 15.9 wins below it. Most of each residual is simply how far a team is from .500: this is a description of the season, not evidence that any front office spent well.

  • CONTRACT

    70

    $23K

    A minute cost OAK $23K — the cheapest basketball in the league.

    SEA paid $46K for the same minute. DAL has the most money on the floor: 67.5% of its payroll goes to the five players who play the most. Dividing a payroll by the minutes it bought separates a roster paying for a rotation from one paying for depth.

  • CONTRACT

    71

    $15.0M

    The S1 draft class has the highest going rate in the league at $15.0M a deal.

    The median S4 contract is $9.3M. The class a player came from is the one date the export carries, so this is the closest thing on the site to an experience curve: older classes cost more because more of their players have reached a second or third deal.

  • CONTRACT

    72

    $890K

    Jason Silver bought LVS a share of a win for $890K — the cheapest on the ledger.

    LVS's wins are split across its roster by how much of its Game Score each player produced, so Jason Silver is credited with 2.2 of them on a $2.0M deal. Johnny Hancock costs $285.5M for the same share. It is an attribution of wins already won, not a claim that either player won a game alone.

  • CONTRACT

    73

    $30.0M

    TBS pays Albert Legations $30.0M — 17.8% of its payroll.

    A roster of 11 on $168.4M, over the salary cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    74

    $32.0M

    NYE pays Lavation Johnson $32.0M — 19.1% of its payroll.

    A roster of 10 on $167.9M, over the salary cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    75

    $83.8M

    HOU pays $83.8M for every win — the most expensive results in the league.

    $167.5M bought just 2 wins, a cost per win that dwarfs the $9.6M the average team spends.

  • CONTRACT

    76

    $161.5M

    TOR bought the best record in the league: 25-5 on $161.5M.

    $6.5M per win and the 4th-richest roster in the league — proof that the top of the table is not simply the top of the ledger.

  • CONTRACT

    77

    $160.0M

    DCS spent $160.0M to go 0-30.

    That is $13.3M a player for a season without a win — every dollar bought the worst record in the league.

  • CONTRACT

    78

    $40.0M

    DAL pays Quincy Washington $40.0M — 25.5% of its payroll.

    A roster of 10 on $157.0M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    79

    $30.0M

    DET pays Ron Leaf $30.0M — 19.5% of its payroll.

    A roster of 10 on $154.0M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    80

    $40.0M

    CHI pays Zay Russell $40.0M — 26.3% of its payroll.

    A roster of 11 on $152.0M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    81

    50.0%

    Only 50.0% of SEA's $144.0M payroll can be matched to a season line.

    $72.0M is paid to players the stats export has no production for — usually new signings. No value figure can be computed for those deals, so the roster's efficiency is only partly knowable.

  • CONTRACT

    82

    $40.0M

    LVS pays Timothy Noah $40.0M — 28.1% of its payroll.

    A roster of 10 on $142.4M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    83

    $20.0M

    PIT pays Yaroslav Campbell $20.0M — 14.1% of its payroll.

    A roster of 13 on $142.0M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    84

    $15.0M

    LAR pays Doc Holliday $15.0M — 11.6% of its payroll.

    A roster of 12 on $129.0M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    85

    10

    VBN holds 10 team options — the most leverage in the league.

    On 14 contracts, 71.4% carry a club-controlled extra year, so VBN can keep this roster together on its own terms.

  • CONTRACT

    86

    $15.0M

    OAK pays Jay Wilson $15.0M — 13.3% of its payroll.

    A roster of 12 on $113.0M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    87

    $15.0M

    VAN pays Anthony Campbell $15.0M — 13.3% of its payroll.

    A roster of 10 on $112.4M, comfortably under the cap. The spending is spread fairly evenly across the squad.

  • CONTRACT

    88

    $62.0M

    MIN has more cap room than anyone: $62.0M to spend.

    Its $103.0M payroll is the 16th-largest in the league, leaving the front office the most room of any club to add to a 14-16 roster.

02 / Efficiency

THE LANDSCAPE

Usage is the share of team possessions a player ends while on the floor; true shooting is their points per shooting possession, weighted. The players worth paying are the ones in the top-right quadrant — heavy load, above-average efficiency.

10%20%30%40%40%60%80%High load · above average efficiencyHeavy load · below average efficiencyLow load · above averageLow load · below averageAce Haskins — OAK · 38.4% USG · 87.9% TS · 40.1 PPGZay Russell — CHI · 36.7% USG · 79.3% TS · 35.1 PPGChester Chess — SEA · 38.3% USG · 72.1% TS · 34.1 PPGKhal Perfecto — LVS · 41.0% USG · 73.2% TS · 34.8 PPGAngel Torres — NYE · 34.8% USG · 73.1% TS · 33.4 PPGBlanco Sky — PIT · 32.9% USG · 79.7% TS · 29.3 PPGRon Leaf — DET · 28.6% USG · 74.0% TS · 25.6 PPGQuincy Washington — DAL · 33.7% USG · 70.7% TS · 25.9 PPGBooker DeWitt — VAN · 34.7% USG · 67.0% TS · 24.2 PPGDeMarcus Pope — OAK · 30.3% USG · 72.8% TS · 24.5 PPGJay Wilson — NYE · 24.2% USG · 84.6% TS · 24.4 PPGAlbert LeGations — MIN · 25.8% USG · 68.1% TS · 22.0 PPGBrandon James — VBN · 28.7% USG · 60.4% TS · 9.9 PPGSpyro Jenkins — PIT · 26.0% USG · 73.0% TS · 20.3 PPGMali Thomas — DAL · 26.4% USG · 78.6% TS · 21.5 PPGT.D. Henderson-Carter — DET · 30.3% USG · 62.8% TS · 22.2 PPGLaShawn Cunningham — DAL · 24.1% USG · 77.9% TS · 20.4 PPGJordan Scott — CHI · 28.7% USG · 62.5% TS · 19.4 PPGNeptune Vert — NYE · 22.1% USG · 74.2% TS · 19.1 PPGTeddy Romero — PIT · 26.7% USG · 64.8% TS · 19.7 PPGJoakim Dominguez — DCS · 31.9% USG · 58.6% TS · 18.9 PPGBrendan Barbeau — HOU · 28.2% USG · 60.6% TS · 17.7 PPGKenan Kurt — TBS · 29.1% USG · 65.8% TS · 19.9 PPGKuz Delil — TOR · 28.0% USG · 61.7% TS · 19.7 PPGDoc Holliday — LAR · 26.3% USG · 67.2% TS · 16.6 PPGJames Hogan — OAK · 26.6% USG · 70.6% TS · 19.5 PPGTimothy Noah — LVS · 25.1% USG · 68.1% TS · 19.2 PPGLavation Johnson — NYE · 23.3% USG · 81.4% TS · 19.8 PPGKaleb Allen — VAN · 23.9% USG · 69.0% TS · 19.0 PPGGrizzly Hubb — TBS · 27.8% USG · 64.4% TS · 19.3 PPGMalcolm Streets — CHI · 21.5% USG · 67.4% TS · 17.0 PPGAquantis Melo — TOR · 22.6% USG · 79.6% TS · 17.6 PPGMiles Simpson — LVS · 22.3% USG · 76.7% TS · 16.3 PPGJavad Storm — LAR · 20.0% USG · 80.3% TS · 17.8 PPGAustin Davis — CHI · 18.2% USG · 85.7% TS · 16.4 PPGAnthony Carter — SEA · 25.3% USG · 60.0% TS · 15.6 PPGMichael Myers — VBN · 23.3% USG · 73.8% TS · 16.2 PPGParis Russell — LAR · 27.2% USG · 64.6% TS · 15.6 PPGCharles Timothy — OAK · 18.1% USG · 76.5% TS · 14.9 PPGJackson Pollock V — VBN · 24.0% USG · 55.7% TS · 15.3 PPGLou Hall — HOU · 26.3% USG · 53.0% TS · 13.2 PPGGOAT Jackson — TBS · 21.5% USG · 74.9% TS · 14.0 PPGStoneway Rivers II — TOR · 20.0% USG · 70.8% TS · 14.5 PPGMalakai Cunningham — MIN · 16.9% USG · 66.6% TS · 13.9 PPGJohnny Domer — SEA · 21.3% USG · 58.5% TS · 13.2 PPGDemetrius Outlaw — DET · 18.9% USG · 61.8% TS · 13.2 PPGIndiana Mills — HOU · 20.2% USG · 66.3% TS · 13.0 PPGMarius de Romanus — OAK · 21.0% USG · 65.3% TS · 12.4 PPGJackson "Pup" Smoke — SEA · 16.1% USG · 70.3% TS · 13.6 PPGJames Murphy — SEA · 18.0% USG · 62.4% TS · 12.6 PPGNicky Barnes — TOR · 15.9% USG · 76.8% TS · 12.1 PPGMonte Parson II — DET · 14.9% USG · 70.2% TS · 10.5 PPGJalen Falcone III — LAR · 19.7% USG · 64.8% TS · 11.0 PPGJason Silver — LVS · 17.2% USG · 80.1% TS · 10.6 PPGDuncan Duncan — MIN · 20.0% USG · 63.2% TS · 14.9 PPGFang Yuan — VAN · 20.6% USG · 60.0% TS · 6.3 PPGTom Creeg — DET · 11.7% USG · 89.3% TS · 10.4 PPGCorey Palmer — TOR · 11.5% USG · 71.3% TS · 8.7 PPGLevi James — VBN · 13.4% USG · 68.0% TS · 9.9 PPGDylan Skywall — SEA · 17.3% USG · 55.2% TS · 9.6 PPGDior Andrews — VAN · 14.4% USG · 71.0% TS · 8.9 PPGJake Lucas — TBS · 16.4% USG · 62.6% TS · 8.6 PPGGioello Felice — LVS · 18.3% USG · 64.1% TS · 10.6 PPGMichael McIvor — LVS · 14.1% USG · 63.2% TS · 9.3 PPGJay Lus — HOU · 26.4% USG · 63.0% TS · 10.2 PPGKay "K" Dog — LVS · 11.7% USG · 84.3% TS · 8.5 PPGAlexander McQueen — LVS · 21.4% USG · 60.9% TS · 8.8 PPGBrendan Goshay — HOU · 21.1% USG · 61.5% TS · 9.1 PPGKelby Big Soldier — PIT · 16.4% USG · 74.4% TS · 8.4 PPGXavior Vows — LAR · 15.8% USG · 80.4% TS · 8.7 PPGDrake Babineau — VAN · 21.2% USG · 49.6% TS · 8.3 PPGBuck Mann — PIT · 15.4% USG · 62.5% TS · 9.1 PPGAeyel Lester Perez — DCS · 16.0% USG · 67.9% TS · 9.8 PPGLouis Marsella — DAL · 11.6% USG · 75.1% TS · 8.7 PPGSoleil Aquino — MIN · 14.4% USG · 75.6% TS · 9.3 PPGOJ Malone HOU) — HOU · 28.7% USG · 57.4% TS · 17.3 PPGOJ Malone — TBS · 24.5% USG · 74.9% TS · 18.5 PPGLance McKenzie — DCS · 23.6% USG · 49.1% TS · 11.4 PPGKeon Anderson — CHI · 11.6% USG · 67.7% TS · 7.9 PPGJace Rain — DAL · 13.3% USG · 69.8% TS · 7.9 PPGCarson Cold — MIN · 15.4% USG · 63.8% TS · 8.0 PPGHunter Jackson — NYE · 10.5% USG · 90.3% TS · 8.8 PPGShogo Doi — VAN · 12.7% USG · 63.6% TS · 8.4 PPGDavon Lively — CHI · 20.5% USG · 47.8% TS · 7.3 PPGWilliam Simpson — DAL · 15.2% USG · 72.7% TS · 7.4 PPGJohn Levi — PIT · 12.9% USG · 71.1% TS · 8.2 PPGJuan Maccabees — NYE · 12.1% USG · 78.3% TS · 7.4 PPGDJ Mull — LAR · 19.0% USG · 51.0% TS · 7.6 PPGKJ Hills — OAK · 19.5% USG · 52.8% TS · 8.4 PPGDante Wolfe — SEA · 16.4% USG · 62.5% TS · 7.0 PPGEric Brasco — SEA · 16.0% USG · 63.9% TS · 8.3 PPGJerry Kirkland — HOU · 16.7% USG · 71.9% TS · 6.7 PPGYaroslav Campbell — TBS · 14.9% USG · 59.6% TS · 8.2 PPGAngel Dust — DCS · 15.4% USG · 68.4% TS · 7.5 PPGKian "Lioone" Rose — TBS · 13.2% USG · 80.2% TS · 7.5 PPGTrey Bird — VAN · 17.6% USG · 52.0% TS · 6.3 PPGBuford Pinkard — TBS · 17.7% USG · 61.5% TS · 7.9 PPGJohnathan Harris — MIN · 15.9% USG · 68.9% TS · 7.9 PPGCade DeVito — VBN · 14.3% USG · 68.7% TS · 6.7 PPGHooper Flagg — LVS · 12.5% USG · 67.2% TS · 6.7 PPGLarry Potts — DET · 12.2% USG · 84.9% TS · 6.5 PPGDerrick Hart — DAL · 21.0% USG · 58.9% TS · 6.6 PPGRex Jordan — TBS · 24.0% USG · 55.7% TS · 6.6 PPGElliot Higgins — OAK · 16.7% USG · 52.0% TS · 6.7 PPGWade Prophet-James — PIT · 14.0% USG · 56.3% TS · 6.2 PPGRylan Bean — VBN · 20.4% USG · 50.0% TS · 6.1 PPGValente Martinez — VBN · 14.2% USG · 80.4% TS · 6.5 PPGZweilous Scratch — DCS · 20.5% USG · 40.1% TS · 6.0 PPGKaito Takahashi — TBS · 12.5% USG · 71.4% TS · 5.8 PPGJesse Long — DET · 18.1% USG · 47.0% TS · 5.7 PPGJason Walker — LAR · 13.1% USG · 66.2% TS · 6.3 PPGGoran Krstic — MIN · 16.1% USG · 58.2% TS · 5.6 PPGGardner Minshew XVIII — DAL · 15.0% USG · 73.2% TS · 6.4 PPGJace Anthony — DET · 13.2% USG · 65.3% TS · 5.5 PPGSabastian McGlocklin — NYE · 11.1% USG · 71.3% TS · 5.3 PPGLamont Jackson-Davis — LAR · 17.4% USG · 50.4% TS · 5.6 PPGLinwood Faulk III — DCS · 18.1% USG · 47.7% TS · 7.1 PPGRyuji Ito — DCS · 19.8% USG · 32.8% TS · 5.3 PPGKiyan Roach — TOR · 16.7% USG · 60.9% TS · 5.9 PPGShasti James — MIN · 12.6% USG · 55.7% TS · 5.1 PPGShintaro Midorima — HOU · 11.4% USG · 60.5% TS · 5.4 PPGDeshaun Banks — DCS · 12.5% USG · 64.4% TS · 5.0 PPGKJ Jones — LAR · 22.2% USG · 52.4% TS · 5.7 PPGLucas Leak — PIT · 12.1% USG · 45.9% TS · 3.7 PPGUsage rate →True shooting →
124 qualified shooters Bubble size = points per game Dashed cross = league medians Click a mark to open the profile

League context

124 qualified shooters · 16 teams

Hover a mark, or pick a player below

Median usage
19.2%
Median true shooting
66.8%
Isolate

03 / Boards

LEADERBOARDS

Sixteen metrics · minimum 10 games to qualify

Total points divided by games played.

  1. 01
    Ace Haskins

    OAK +1 · SF · 26 GP

    40.1 1042 pts total
  2. 02
    Zay Russell

    CHI +1 · SG · 29 GP

    35.1 1018 pts total
  3. 03
    Khal Perfecto

    LVS · SF · 28 GP

    34.8 975 pts total
  4. 04
    Chester Chess

    SEA +1 · PF · 29 GP

    34.1 990 pts total
  5. 05
    Angel Torres

    NYE · PG · 27 GP

    33.4 902 pts total
  6. 06
    Blanco Sky

    PIT · PF · 27 GP

    29.3 792 pts total
  7. 07
    Quincy Washington

    DAL · SG · 29 GP

    25.9 750 pts total
  8. 08
    Ron Leaf

    DET · SG · 30 GP

    25.6 768 pts total
  9. 09
    DeMarcus Pope

    OAK +1 · PF · 26 GP

    24.5 638 pts total
  10. 10
    Jay Wilson

    NYE · C · 26 GP

    24.4 635 pts total
  11. 11
    Booker DeWitt

    VAN +1 · PG · 29 GP

    24.2 702 pts total
  12. 12
    T.D. Henderson-Carter

    DET · SF · 27 GP

    22.2 599 pts total

04 / Roster shape

SIXTEEN TEAMS

This chart stays on the offence half: each team's own shot profile, enough to separate an interior team from a perimeter one and to show which of them actually converted. The defensive side lives on the team profiles and in the comparison workspace.

20%30%40%60%70%Perimeter · efficientInterior · efficientInterior · grindingPerimeter · grindingNYENYE — 116.7 PPG · 77.3% TS · 18.9% of shots from three · led by Angel Torres (902 pts)LVSLVS — 110.7 PPG · 70.3% TS · 25.5% of shots from three · led by Khal Perfecto (975 pts)DALDAL — 109.7 PPG · 72.6% TS · 28.9% of shots from three · led by Quincy Washington (750 pts)CHICHI — 107.3 PPG · 71.0% TS · 23.9% of shots from three · led by Zay Russell (811 pts)TORTOR — 105.6 PPG · 72.2% TS · 26.8% of shots from three · led by Kuz Delil (551 pts)DETDET — 104.2 PPG · 68.6% TS · 35.9% of shots from three · led by Ron Leaf (768 pts)OAKOAK — 102.8 PPG · 70.8% TS · 23.2% of shots from three · led by Ace Haskins (584 pts)PITPIT — 102.3 PPG · 67.8% TS · 38.6% of shots from three · led by Blanco Sky (792 pts)MINMIN — 99.0 PPG · 65.9% TS · 33.0% of shots from three · led by Albert LeGations (615 pts)TBSTBS — 98.8 PPG · 66.6% TS · 35.1% of shots from three · led by Kenan Kurt (557 pts)VANVAN — 96.8 PPG · 64.5% TS · 33.0% of shots from three · led by Kaleb Allen (533 pts)SEASEA — 96.2 PPG · 61.1% TS · 33.3% of shots from three · led by Anthony Carter (469 pts)VBNVBN — 93.0 PPG · 62.9% TS · 31.8% of shots from three · led by Brandon James (573 pts)LARLAR — 88.9 PPG · 65.8% TS · 21.2% of shots from three · led by Doc Holliday (490 pts)HOUHOU — 87.7 PPG · 60.9% TS · 32.5% of shots from three · led by Indiana Mills (389 pts)DCSDCS — 76.6 PPG · 53.8% TS · 39.2% of shots from three · led by Joakim Dominguez (568 pts)Three-point attempt rate →True shooting →
All 16 rosters Bubble size = points per game Dashed cross = league medians Click a roster to open it

League context

16 rosters on shot profile

Hover a roster, or pick one below

Median three rate
32.1%
Median true shooting
67.2%
NYE

116.7

Points per game

True shooting
77.3%
Three rate
18.9%
Rotation
10 of 10

Angel Torres · 902 pts

LVS

110.7

Points per game

True shooting
70.3%
Three rate
25.5%
Rotation
16 of 16

Khal Perfecto · 975 pts

DAL

109.7

Points per game

True shooting
72.6%
Three rate
28.9%
Rotation
13 of 14

Quincy Washington · 750 pts

CHI

107.3

Points per game

True shooting
71.0%
Three rate
23.9%
Rotation
20 of 23

Zay Russell · 811 pts

TOR

105.6

Points per game

True shooting
72.2%
Three rate
26.8%
Rotation
13 of 13

Kuz Delil · 551 pts

DET

104.2

Points per game

True shooting
68.6%
Three rate
35.9%
Rotation
9 of 11

Ron Leaf · 768 pts

OAK

102.8

Points per game

True shooting
70.8%
Three rate
23.2%
Rotation
19 of 20

Ace Haskins · 584 pts

PIT

102.3

Points per game

True shooting
67.8%
Three rate
38.6%
Rotation
13 of 14

Blanco Sky · 792 pts

MIN

99.0

Points per game

True shooting
65.9%
Three rate
33.0%
Rotation
11 of 12

Albert LeGations · 615 pts

TBS

98.8

Points per game

True shooting
66.6%
Three rate
35.1%
Rotation
12 of 14

Kenan Kurt · 557 pts

VAN

96.8

Points per game

True shooting
64.5%
Three rate
33.0%
Rotation
19 of 19

Kaleb Allen · 533 pts

SEA

96.2

Points per game

True shooting
61.1%
Three rate
33.3%
Rotation
22 of 24

Anthony Carter · 469 pts

VBN

93.0

Points per game

True shooting
62.9%
Three rate
31.8%
Rotation
17 of 20

Brandon James · 573 pts

LAR

88.9

Points per game

True shooting
65.8%
Three rate
21.2%
Rotation
18 of 19

Doc Holliday · 490 pts

HOU

87.7

Points per game

True shooting
60.9%
Three rate
32.5%
Rotation
23 of 26

Indiana Mills · 389 pts

DCS

76.6

Points per game

True shooting
53.8%
Three rate
39.2%
Rotation
16 of 16

Joakim Dominguez · 568 pts

05 / Explorer

EVERY PLAYER

Sort any column · shaded cells mark the top and bottom of the league on that metric

Position

155 of 189 players

UBA Season 3 player statistics, sortable by column
PlayerGP TOV
1 Ace Haskins OAK +1 · SF2630.440.14.84.00.80.61.976.7%61.2%87.9%82.8%38.4%21.1%10.6%7.8%2.0852.519.8%36.9%
2 Zay Russell CHI +1 · SG2930.935.13.15.30.90.81.473.5%56.3%79.3%78.7%36.7%28.7%6.7%5.9%3.8846.718.2%42.7%
3 Khal Perfecto LVS · SF2828.734.83.56.80.60.11.564.3%43.9%73.2%69.9%41.0%35.7%8.2%5.9%4.5046.625.5%45.8%
4 Chester Chess SEA +1 · PF2930.034.17.13.71.20.31.265.2%44.8%72.1%71.3%38.3%21.9%16.6%4.7%3.1248.627.6%24.6%
5 Angel Torres NYE · PG2735.133.43.810.01.10.73.765.3%46.5%73.1%70.1%34.8%33.7%7.2%13.8%2.7446.121.1%30.9%
6 Blanco Sky PIT · PF2729.929.39.33.71.20.91.667.9%52.0%79.7%78.8%32.9%20.6%22.2%7.8%2.4045.642.0%29.4%
7 Quincy Washington DAL · SG2928.125.92.83.60.90.51.261.3%43.4%70.7%66.8%33.7%16.8%6.8%6.0%3.0634.325.7%31.6%
8 Ron Leaf DET · SG3030.825.62.64.30.90.31.259.9%49.8%74.0%72.5%28.6%18.8%5.7%6.3%3.6934.250.5%26.7%
9 DeMarcus Pope OAK +1 · PF2628.924.53.75.10.90.51.763.5%39.4%72.8%70.6%30.3%23.6%8.9%9.3%2.9334.036.0%28.1%
10 Jay Wilson NYE · C2630.124.410.83.01.62.01.482.5%53.6%84.6%84.6%24.2%11.6%23.8%8.8%2.1442.57.9%50.7%
11 Booker DeWitt VAN +1 · PG2928.424.21.86.60.90.02.359.0%41.8%67.0%63.4%34.7%36.1%4.5%11.2%2.9132.420.9%26.8%
12 T.D. Henderson-Carter DET · SF2731.322.22.310.10.60.42.157.8%45.4%62.8%63.5%30.3%42.8%5.0%10.7%4.7933.124.9%27.5%
13 Albert LeGations MIN · C2830.622.07.13.51.20.90.962.1%39.2%68.1%67.9%25.8%15.2%16.4%5.0%4.0435.329.2%33.1%
14 Mali Thomas DAL · PG2828.321.51.77.90.60.51.763.9%54.4%78.6%76.8%26.4%33.5%4.0%10.9%4.6830.547.3%21.9%
15 LaShawn Cunningham DAL · C2927.820.410.23.31.60.90.676.9%30.8%77.9%77.5%24.1%15.2%24.9%4.5%5.2837.23.7%52.4%
16 Spyro Jenkins PIT · SF3029.420.32.18.91.10.51.667.2%11.5%73.0%68.1%26.0%41.2%5.0%10.5%5.4730.714.6%39.2%
17 Kenan Kurt TBS · PG2828.519.91.89.60.90.31.961.7%26.9%65.8%64.2%29.1%45.5%4.3%11.1%5.0929.818.3%51.3%
18 Lavation Johnson NYE · PF2727.719.87.94.01.10.81.882.8%0.0%81.4%82.8%23.3%16.2%18.9%13.0%2.2233.01.4%54.6%
19 Kuz Delil TOR · PG2830.719.71.57.40.70.11.954.5%35.3%61.7%60.6%28.0%27.6%3.3%10.8%3.8327.634.2%22.1%
20 Teddy Romero PIT · PG2930.219.71.34.20.40.31.250.4%44.0%64.8%63.6%26.7%18.1%3.1%7.4%3.4925.660.1%14.7%
21 James Hogan OAK +1 · PF2826.919.56.32.91.11.01.367.0%41.9%70.6%69.5%26.6%13.5%15.9%8.7%2.1931.311.8%44.7%
22 Jordan Scott CHI · PG3028.819.41.76.20.60.11.654.1%35.2%62.5%57.2%28.7%25.9%4.0%9.2%3.9826.817.6%26.1%
23 Grizzly Hubb TBS · SF2728.219.34.34.60.80.41.156.3%50.8%64.4%68.2%27.8%21.7%10.6%6.9%4.1029.347.1%19.4%
24 Timothy Noah LVS · SF2828.319.24.63.50.90.91.156.3%46.5%68.1%66.0%25.1%14.4%11.0%7.3%3.1628.741.8%23.9%
25 Neptune Vert NYE · SF3030.019.12.25.00.50.11.563.4%57.8%74.2%72.4%22.1%17.2%4.8%10.6%3.2826.131.1%26.6%
26 Kaleb Allen VAN · C2830.519.08.01.51.11.11.561.0%44.6%69.0%68.0%23.9%6.6%18.0%9.6%1.0030.830.9%38.9%
27 Joakim Dominguez DCS · SF3027.518.91.74.80.80.11.947.4%38.2%58.6%56.8%31.9%31.2%4.8%10.4%2.5525.349.1%13.2%
28 OJ Malone TBS · C1325.818.59.21.10.90.90.671.2%42.1%74.9%73.7%24.5%6.0%24.7%4.7%1.7532.212.2%25.2%
29 Javad Storm LAR +2 · C2829.817.89.80.91.11.21.181.0%0.0%80.3%81.0%20.0%4.4%23.0%9.3%0.7831.60.3%52.8%
30 Brendan Barbeau HOU +1 · PF3227.817.74.84.30.70.51.651.4%35.2%60.6%57.7%28.2%20.8%12.6%10.0%2.6227.136.1%31.9%
31 Aquantis Melo TOR · SG2925.517.61.73.30.50.40.965.4%55.2%79.6%78.8%22.6%15.0%4.4%7.8%3.5623.648.5%20.7%
32 OJ Malone HOU) HOU · C1427.617.38.91.01.10.80.953.7%24.3%57.4%55.9%28.7%5.9%23.5%5.8%1.0829.818.2%25.7%
33 Malcolm Streets CHI +1 · C3029.617.04.92.60.60.40.857.2%48.4%67.3%65.8%21.5%10.8%11.3%6.2%3.0825.735.6%37.4%
34 Doc Holliday LAR +1 · SG3324.816.61.93.10.40.00.860.4%42.4%67.2%65.3%26.3%17.7%5.4%6.2%3.8122.523.0%34.1%
35 Austin Davis CHI · C3027.016.49.31.31.21.00.681.3%50.0%85.7%82.6%18.2%6.0%23.1%6.2%2.1129.85.2%56.0%
36 Miles Simpson LVS +2 · SG3124.516.32.64.00.90.21.063.8%51.4%76.7%73.2%22.3%19.9%7.4%8.6%4.0023.936.5%23.2%
37 Michael Myers VBN · C2924.816.26.61.31.10.71.072.4%44.4%73.8%73.0%23.3%7.9%18.5%8.6%1.3026.13.1%52.4%
38 Anthony Carter SEA · SG3024.415.60.92.30.50.30.450.8%42.0%60.0%58.7%25.3%12.4%2.5%3.2%5.2320.237.5%23.0%
39 Paris Russell LAR +1 · PF3024.815.61.73.00.70.11.553.8%47.1%64.6%60.0%27.2%17.9%4.9%11.2%1.9320.326.3%25.3%
40 Jackson Pollock V VBN +1 · SG2731.015.33.16.81.00.41.947.1%32.1%55.7%53.3%24.0%26.4%7.1%12.3%3.5224.038.3%26.1%
41 Duncan Duncan MIN · SG2030.114.91.55.30.40.01.153.1%38.7%63.2%60.0%20.0%20.0%3.5%8.9%4.5721.135.5%29.5%
42 Charles Timothy OAK · C2926.414.97.81.50.90.30.576.7%0.0%76.5%76.7%18.1%6.5%20.4%5.0%2.8726.40.0%48.8%
43 Stoneway Rivers II TOR · SG2826.714.52.63.11.10.40.960.9%42.1%70.8%65.6%20.0%12.8%6.5%8.0%3.5221.122.3%28.2%
44 GOAT Jackson TBS · C2922.614.04.71.00.60.30.666.1%55.4%74.9%76.1%21.5%6.0%14.4%5.9%1.7621.535.8%20.6%
45 Malakai Cunningham MIN · SG2930.913.92.62.60.80.20.852.7%51.0%66.6%66.2%16.9%9.3%5.8%7.4%3.0819.752.7%11.0%
46 Jackson "Pup" Smoke SEA · C2629.213.611.11.61.50.70.572.5%300.0%70.3%73.8%16.1%7.1%26.5%5.3%3.0028.90.9%46.4%
47 Lou Hall HOU +4 · PG3126.913.21.85.80.40.02.147.2%22.5%53.0%50.7%26.3%28.8%4.7%14.2%2.8018.831.2%19.6%
48 Johnny Domer SEA +1 · PG3028.213.21.26.70.60.01.748.6%39.3%58.5%54.3%21.3%27.0%3.0%13.1%3.9619.428.6%32.2%
49 Demetrius Outlaw DET · SG3028.813.22.54.00.90.30.847.8%42.9%61.8%59.6%18.9%15.6%6.0%6.7%5.2220.254.9%15.7%
50 Indiana Mills HOU · PF3025.913.06.01.50.90.60.864.5%18.8%66.3%65.0%20.2%8.4%16.9%7.3%1.9121.95.9%42.0%
51 James Murphy SEA · SG2827.512.63.43.00.70.20.754.2%46.3%62.4%65.6%18.0%13.3%8.5%6.6%4.1519.649.1%10.8%
52 Marius de Romanus OAK +1 · PF3023.712.41.35.30.80.41.059.8%35.5%65.3%64.8%21.0%24.7%3.7%9.8%5.1319.128.0%27.2%
53 Nicky Barnes TOR · C2926.112.18.61.41.10.80.776.7%61.1%76.8%79.2%15.9%6.1%21.6%8.4%2.0024.38.2%56.5%
54 Lance McKenzie DCS +1 · SG2126.511.41.72.80.40.01.236.5%36.2%49.1%48.8%23.6%15.7%4.9%9.3%2.3215.667.6%2.3%
55 Jalen Falcone III LAR +1 · PG2824.511.01.84.60.60.11.357.5%32.7%64.8%61.4%19.7%22.5%5.1%13.5%3.5116.624.3%30.1%
56 Gioello Felice LVS · SF2523.510.61.24.70.40.31.053.2%40.6%64.1%60.6%18.3%21.1%3.4%10.8%4.7215.736.7%23.0%
57 Jason Silver LVS · C2919.210.65.70.90.90.40.581.3%0.0%80.1%81.3%17.3%5.2%20.2%7.3%1.6719.00.0%46.9%
58 Monte Parson II DET · PF3026.110.54.71.70.80.80.762.2%47.7%70.2%69.4%14.9%7.4%12.3%8.2%2.5518.330.0%34.8%
59 Tom Creeg DET · C2826.110.49.01.41.61.00.590.5%0.0%89.3%90.5%11.7%6.1%23.5%8.4%2.6023.30.7%70.1%
60 Jay Lus HOU · PF2517.710.21.75.50.50.41.359.9%33.3%63.0%63.9%26.4%48.6%7.1%13.6%4.3116.424.1%32.1%
61 Levi James VBN · SF2928.49.92.93.51.01.00.756.6%45.2%68.0%67.2%13.4%14.7%7.0%8.7%5.1016.847.0%26.8%
62 Brandon James VBN +1 · SF6215.29.91.22.30.30.10.953.0%44.6%60.4%63.7%28.7%21.5%5.5%10.3%2.5013.548.1%17.8%
63 Aeyel Lester Perez DCS +1 · C2523.99.85.51.50.81.00.773.3%0.0%67.9%73.3%16.0%9.0%17.0%8.6%2.1818.41.8%52.1%
64 Dylan Skywall SEA +3 · SF2927.49.61.76.11.10.21.444.0%39.4%55.2%54.7%17.3%26.1%4.3%13.7%4.4016.254.3%3.7%
65 Soleil Aquino MIN +2 · C2623.09.37.11.11.40.50.974.8%0.0%75.6%74.8%14.4%5.3%21.6%12.5%1.2219.20.7%45.1%
66 Michael McIvor LVS +1 · SF2827.99.33.43.60.90.21.161.5%51.2%63.2%67.0%14.1%13.5%8.4%12.7%3.4016.421.5%22.0%
67 Buck Mann PIT +1 · SF2726.19.11.73.40.80.60.950.3%44.0%62.5%61.9%15.4%15.3%4.8%10.5%3.9614.352.9%27.4%
68 Brendan Goshay HOU +1 · SF2819.19.11.52.50.60.21.055.9%32.7%61.5%60.4%21.1%16.8%5.4%11.6%2.5613.027.7%23.8%
69 Dior Andrews VAN · PF3022.38.94.91.20.90.70.463.7%35.8%71.0%70.3%14.4%6.8%14.9%6.4%2.8516.736.8%55.2%
70 Hunter Jackson NYE · SG2625.78.81.53.80.50.01.071.8%61.8%90.3%80.8%10.5%13.4%3.9%17.1%3.7713.329.1%22.6%
71 Alexander McQueen LVS · SF2917.78.80.93.20.30.00.950.5%50.0%60.9%57.6%21.4%19.2%3.5%11.5%3.4112.428.4%25.0%
72 Corey Palmer TOR +1 · PF3329.58.76.92.00.80.40.860.8%62.1%71.3%71.4%11.5%7.8%16.1%11.8%2.4417.934.0%31.4%
73 Louis Marsella DAL · PF2826.48.75.02.40.90.50.567.3%42.0%75.1%74.2%11.6%9.4%12.9%8.0%4.8617.132.7%42.7%
74 Xavior Vows LAR · C2919.88.77.01.10.70.10.981.5%0.0%80.4%81.5%15.8%7.1%25.2%14.3%1.1917.30.7%58.0%
75 Jake Lucas TBS +1 · SF3122.18.61.32.20.50.40.549.0%44.8%62.6%60.6%16.4%11.1%4.0%7.4%3.9412.452.0%15.2%
76 Kay "K" Dog LVS · C3023.18.56.11.60.70.30.887.7%0.0%84.3%87.7%11.7%7.2%18.0%13.2%2.0416.80.0%77.7%
77 Shogo Doi VAN +1 · SF2727.58.42.22.80.60.60.749.1%44.6%63.6%60.7%12.7%11.6%5.4%9.6%4.0013.252.2%21.8%
78 Kelby Big Soldier PIT · PF3019.18.44.80.70.70.10.776.3%0.0%74.4%76.3%16.4%4.6%17.8%11.0%1.0014.70.0%35.2%
79 KJ Hills OAK +2 · SF2620.78.41.81.80.20.10.643.2%35.2%52.8%49.5%19.5%9.1%5.8%6.7%3.0712.235.7%20.9%
80 Eric Brasco SEA +1 · SG2621.88.31.53.60.60.11.044.0%33.8%63.9%51.6%16.0%18.2%4.6%12.9%3.7612.944.7%32.9%
81 Drake Babineau VAN · PG3022.38.31.14.90.50.01.640.6%37.9%49.6%53.7%21.2%26.1%3.4%16.1%3.0612.669.3%2.0%
82 John Levi PIT · C2724.68.26.91.21.30.40.669.9%66.7%71.1%71.2%12.9%5.8%19.9%9.8%1.9417.54.1%0.0%
83 Yaroslav Campbell TBS +2 · C2623.78.25.51.51.30.50.455.6%40.5%59.6%60.1%14.8%7.0%16.0%5.3%3.8016.721.9%31.9%
84 Carson Cold MIN · PF2921.18.02.22.70.20.00.754.2%42.5%63.8%62.8%15.4%14.0%7.4%10.3%3.6712.640.8%38.1%
85 Keon Anderson CHI · PF3027.87.94.04.60.90.30.858.7%27.0%67.7%63.8%11.6%17.0%9.6%12.0%5.7116.137.7%20.4%
86 Jace Rain DAL · SG3023.07.91.52.30.40.10.653.3%50.9%69.8%69.7%13.3%10.1%4.5%10.1%3.6311.764.2%17.0%
87 Buford Pinkard TBS · PF2619.17.95.00.70.90.10.560.5%43.3%61.5%64.7%17.7%4.1%18.3%7.2%1.3114.719.1%33.7%
88 Johnathan Harris MIN +1 · PF2618.27.94.00.40.90.30.367.4%0.0%68.9%70.8%15.9%2.8%15.4%5.7%1.2213.70.0%57.3%
89 DJ Mull LAR +1 · PG2924.37.60.96.20.40.11.940.5%32.6%51.0%47.8%19.0%31.2%2.8%20.0%3.3312.244.5%16.0%
90 Angel Dust DCS · C2819.07.52.50.70.60.40.569.1%0.0%68.4%69.1%15.4%5.7%10.2%8.3%1.3611.92.0%62.1%
91 Kian "Lioone" Rose TBS · SG2819.87.51.32.10.50.30.759.8%61.4%80.2%79.9%13.2%11.8%4.4%12.7%3.0511.065.4%7.9%
92 William Simpson DAL · PF3018.37.43.42.20.60.20.673.8%0.0%72.7%73.8%15.2%13.2%12.5%10.5%3.7213.52.1%53.8%
93 Desmond Parker DCS +1 · C2219.87.45.70.91.00.00.880.4%0.0%80.4%80.4%13.3%6.7%21.9%14.4%1.1814.91.0%62.8%
94 Juan Maccabees NYE · PF3020.37.43.51.80.40.10.672.0%66.7%78.3%77.3%12.1%8.5%11.4%11.8%2.8912.915.9%47.4%
95 Arthur Norman CHI +1 · C2617.57.45.30.70.80.40.787.6%0.0%94.3%87.6%12.7%4.6%20.7%15.7%1.0014.11.1%60.3%
96 Davon Lively CHI +1 · PG3121.07.31.44.70.40.01.538.2%29.8%47.8%46.4%20.5%25.0%4.5%16.9%3.0611.755.1%16.3%
97 Linwood Faulk III DCS +1 · SF2221.57.11.72.00.50.00.639.4%28.7%47.7%47.2%18.1%12.6%6.1%7.3%3.3811.154.4%15.9%
98 Dante Wolfe SEA +1 · SF3117.37.01.21.10.40.00.450.9%49.2%62.5%60.1%16.4%8.6%5.2%7.0%2.699.837.4%25.3%
99 Hooper Flagg LVS · C2920.76.74.61.20.90.40.664.0%36.4%67.2%66.9%12.5%6.0%15.2%9.9%2.1913.415.8%52.8%
100 Jerry Kirkland HOU +1 · SG3215.46.70.81.50.40.10.655.2%49.5%71.9%71.3%16.7%12.3%3.7%10.7%2.619.065.0%6.3%
101 Elliot Higgins OAK +2 · SG2819.36.71.11.70.60.10.342.1%36.5%52.0%50.0%16.7%10.4%4.2%4.7%5.3310.043.3%11.1%
102 Cade DeVito VBN · C3017.56.73.91.00.80.40.356.5%45.6%68.7%67.8%14.3%6.6%15.4%6.4%2.9012.749.3%2.6%
103 Derrick Hart DAL · SG2915.26.60.84.90.30.21.050.7%34.1%58.9%55.7%21.0%34.0%3.5%15.2%4.9010.829.7%30.7%
104 Rex Jordan TBS · PG2913.76.60.75.00.30.00.848.4%19.4%55.7%50.7%24.0%43.6%3.7%11.8%6.3011.123.5%27.0%
105 Larry Potts DET · C3016.16.54.20.90.90.60.386.8%0.0%84.9%86.8%12.2%6.7%18.0%6.5%3.5013.00.0%57.6%
106 Valente Martinez VBN +1 · C2816.06.53.90.60.40.60.681.3%0.0%80.4%81.3%14.2%5.3%17.4%13.1%1.0611.90.0%58.6%
107 Gardner Minshew XVIII DAL · C2615.36.45.20.50.50.00.363.7%58.8%73.2%68.6%15.0%3.7%23.2%7.4%1.5612.716.7%40.0%
108 Trey Bird VAN +2 · SG3319.86.31.23.20.40.01.044.3%32.9%52.0%51.3%17.6%19.7%4.2%14.5%3.159.842.7%10.6%
109 Jason Walker LAR · PF2718.96.32.80.40.50.20.258.1%39.1%66.2%65.3%13.1%2.6%10.4%4.5%1.8310.537.1%36.1%
110 Fang Yuan VAN · SF4714.06.31.62.30.30.10.854.8%35.4%60.0%58.7%20.6%20.0%7.9%13.4%2.799.721.9%34.2%
111 Wade Prophet-James PIT · PF3021.86.22.02.60.30.10.744.4%37.5%56.3%54.2%14.0%13.0%6.4%11.3%3.6710.252.3%32.4%
112 Rylan Bean VBN · PG3017.06.11.03.00.30.11.149.7%36.0%50.0%55.0%20.4%21.5%4.0%15.3%2.709.229.2%28.2%
113 Ashton Drexler HOU +1 · PF1415.46.11.90.60.40.30.658.9%40.7%73.6%68.8%15.4%4.9%9.2%13.5%0.898.748.2%42.4%
114 Zweilous Scratch DCS · PG3019.86.01.14.00.80.10.935.5%17.2%40.1%38.1%20.5%29.1%4.3%10.4%4.6210.429.9%31.6%
115 Bubba Flex VAN +1 · PF3019.45.94.90.80.80.30.780.0%0.0%84.5%80.0%10.1%4.9%17.5%16.0%1.2512.30.0%61.8%
116 Kiyan Roach TOR · SF2615.55.91.32.71.20.50.656.6%26.7%60.9%59.8%16.7%17.9%5.5%10.7%4.6010.824.6%34.8%
117 Kaito Takahashi TBS · PF3017.45.82.61.10.50.20.459.7%52.2%71.4%74.4%12.5%7.1%10.5%8.2%3.0010.256.3%11.3%
118 Clint "C" Demp VBN · SF2313.45.81.02.20.50.30.769.3%0.0%71.0%69.3%17.0%20.8%5.2%13.8%3.339.25.7%47.5%
119 Jesse Long DET · PF3019.35.72.24.10.30.11.239.2%28.0%47.0%45.3%18.1%22.7%7.7%16.4%3.4210.243.9%0.0%
120 KJ Jones LAR · SG2313.85.71.11.60.00.00.745.1%23.8%52.4%49.2%22.2%14.6%5.6%12.0%2.188.034.4%23.6%
121 Goran Krstic MIN · PG3017.75.60.74.70.30.21.351.9%25.7%58.2%55.2%16.1%28.9%2.8%21.2%3.649.425.9%38.6%
122 Lamont Jackson-Davis LAR +2 · PG2816.85.60.83.40.10.00.445.6%22.0%50.5%48.7%17.4%23.5%3.3%7.2%7.839.127.5%1.5%
123 Jace Anthony DET · PF3016.95.52.01.10.40.10.558.0%43.8%65.3%66.8%13.2%6.9%8.1%10.0%2.298.840.3%30.4%
124 Shintaro Midorima HOU +1 · SG2821.75.41.02.80.50.00.649.2%35.4%60.5%58.8%11.4%16.0%3.4%11.4%4.888.754.2%15.3%
125 Ryuji Ito DCS · PG2922.85.31.64.80.80.01.127.6%14.5%32.8%31.6%19.8%28.7%5.4%11.6%4.4510.354.4%17.5%
126 Sabastian McGlocklin NYE · SF3017.75.32.11.90.50.30.565.3%31.6%71.3%68.3%11.1%9.8%7.9%12.5%3.569.318.8%54.5%
127 Shasti James MIN · SG3020.35.11.04.20.50.10.947.2%22.6%55.7%50.0%12.6%21.4%3.5%17.0%4.468.824.8%0.0%
128 Deshaun Banks DCS +1 · C2916.45.03.20.60.70.10.465.7%0.0%64.4%65.7%12.5%4.4%14.3%9.6%1.429.46.9%46.3%
129 Joonas Hodorson NYE · PF3016.05.01.61.60.40.20.568.9%46.9%76.4%77.2%10.8%9.2%6.6%13.3%3.207.935.6%37.1%
130 Daniel Tyson CHI +1 · SF2816.54.92.21.90.30.10.866.3%44.0%77.8%72.9%11.3%11.7%8.9%19.1%2.528.630.1%29.1%
131 Brody Levine NYE · SG1515.34.80.92.90.10.21.051.9%28.0%56.9%58.3%15.7%17.5%4.0%19.2%2.937.546.3%17.9%
132 Eugene Walter VII CHI +2 · PF2215.34.82.90.60.60.20.270.3%46.7%77.3%75.8%10.3%4.1%13.0%6.9%2.609.223.4%42.2%
133 Brady White VBN +1 · C2913.44.53.40.50.60.20.266.3%0.0%66.7%66.3%12.8%4.3%17.9%5.8%2.339.210.9%54.1%
134 Javier Alverez DAL +1 · PF2913.14.21.10.80.50.20.258.9%61.2%79.7%79.5%10.5%6.6%5.8%7.3%4.006.767.1%14.0%
135 Tamotu Tonumaipe'a LAR · PF2615.84.01.21.20.30.00.562.7%0.0%66.8%62.7%10.8%8.9%5.3%13.5%2.676.29.0%42.9%
136 Marcus Underwood TOR · C2814.03.94.10.60.90.50.374.2%0.0%74.2%74.2%10.0%4.6%19.1%9.8%2.259.74.5%59.2%
137 Johnny Hancock HOU · PG128.63.80.81.30.00.00.529.1%24.0%39.9%34.5%30.7%19.7%6.4%9.4%2.505.245.5%25.0%
138 Nash Wicked OAK · PG2915.73.80.83.80.40.00.746.2%36.7%56.6%52.2%11.9%23.1%3.5%17.2%5.457.333.0%0.0%
139 Zach Summerville DCS +1 · C1513.13.72.40.40.50.00.458.7%0.0%57.6%58.7%13.5%4.3%13.5%11.0%1.006.821.7%48.1%
140 Lucas Leak PIT · PF3018.43.71.81.40.30.30.538.3%23.5%45.9%46.3%12.1%8.0%7.1%11.0%2.736.867.5%39.1%
141 Butch Hendrix VBN · PG1411.13.50.72.50.40.01.442.9%8.3%45.5%43.9%22.6%26.8%4.5%26.1%1.845.124.5%23.8%
142 Clutch McNasty HOU +1 · SG1913.93.20.81.20.20.00.451.2%44.4%65.6%65.1%10.0%10.4%4.0%14.7%2.884.962.8%0.0%
143 Dave Peroni VAN · PG1310.53.20.31.80.00.10.341.9%22.2%47.2%46.5%16.6%20.6%2.0%8.4%6.004.941.9%16.7%
144 James Curry LVS · PF2013.03.12.31.40.30.00.455.6%55.0%68.7%67.8%9.7%10.9%11.8%14.8%3.636.744.4%20.0%
145 Emmanuel Blackman DCS · PF3018.43.03.00.70.60.20.642.4%0.0%45.5%42.4%10.4%4.8%12.6%15.3%1.116.730.4%59.0%
146 Donovan Handy HOU · SF1814.02.90.90.90.40.20.360.6%57.1%69.2%66.7%8.7%8.3%5.0%13.6%2.834.921.2%40.0%
147 Joao Cabral OAK · PF1713.92.92.20.40.40.10.347.9%0.0%50.2%47.9%10.8%2.9%11.1%9.1%1.405.927.1%69.6%
148 Raja Tennis TBS · SF2513.02.80.80.90.30.10.144.3%33.3%55.0%53.3%10.0%7.5%4.5%4.5%7.674.754.1%3.7%
149 George McGrunder PIT +1 · SG2414.52.60.82.10.20.00.425.9%25.0%35.4%33.5%13.9%15.6%3.7%10.2%5.004.761.2%18.2%
150 Rah Freeman SEA · SF2110.22.40.91.50.30.00.437.7%26.7%46.2%45.3%13.7%15.9%6.2%14.0%3.444.556.6%15.0%
151 Roger Millz TOR · SF1311.22.21.11.10.30.30.345.2%26.7%46.8%51.6%11.5%9.3%6.3%11.4%3.504.648.4%42.9%
152 Kayden Knoxs VAN +2 · PF1612.92.11.10.90.10.00.448.0%30.0%58.8%54.0%7.9%7.5%6.1%17.6%2.333.640.0%0.0%
153 Joemar Samson DAL +1 · SF1811.61.90.81.40.10.10.245.8%45.0%68.3%64.6%6.7%11.4%4.9%13.8%6.253.683.3%36.4%
154 Ludwig Groß CHI +2 · PF106.31.70.90.40.10.10.346.7%0.0%48.2%46.7%15.5%6.5%9.7%14.5%1.332.926.7%57.1%
155 Joey Wheeler LAR +1 · PG1210.11.30.41.60.10.00.320.0%16.7%21.4%21.4%16.0%17.2%2.9%10.3%4.752.717.1%0.0%

06 / Teams

TEAM COMPARISON

The comparison workspace runs on both halves: each roster's scoring, shooting, depth and shape, and the schedule — real records, offensive and defensive rating, pace, strength of schedule, home and away splits and head-to-head. Every team has its own profile with all thirty nights on it.

Roster shape

Points, true shooting, effective field goal, three-point rate, free-throw rate, assist rate, rebounding, turnovers, dunk share, rotation depth, scoring concentration and how much of each roster stayed put — all comparable across the sixteen teams.

From the fixtures

Real win-loss records, points allowed, offensive and defensive rating, pace, strength of schedule, the Simple Rating System, home/away splits, Pythagorean expectation and head-to-head.

CALYPSO

Counting stats are stored; every percentage, rate and rate-like figure on this page is computed from those counts, so a figure can never drift from the numbers it describes.

League
UBA Season 3
Fixtures
240
Players
189