G-League basketball (USA-2)

Standings for 2009-2010 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Iowa Wolves Iowa Wolves 74.0 50 37 13 5341 5067 106.8 101.3 5.5 67.5
2 Rio Grande Valley Vipers Rio Grande Valley Vipers 68.0 50 34 16 5509 5270 110.2 105.4 4.8 65.0
3 Austin Spurs Austin Spurs 64.0 50 32 18 5356 5181 107.1 103.6 3.5 61.4
4 Sioux Falls Skyforce Sioux Falls Skyforce 64.0 50 32 18 5362 5300 107.2 106.0 1.2 54.0
5 Santa Cruz Warriors Santa Cruz Warriors 58.0 50 29 21 5284 5172 105.7 103.4 2.3 57.4
6 Stockton Kings Stockton Kings 56.0 50 28 22 5291 5169 105.8 103.4 2.4 58.0
7 Utah Flash Utah Flash 56.0 50 28 22 5179 5105 103.6 102.1 1.5 55.0
8 Maine Celtics Maine Celtics 54.0 50 27 23 5140 5021 102.8 100.4 2.4 58.1
9 Oklahoma City Blue Oklahoma City Blue 54.0 50 27 23 5029 4955 100.6 99.1 1.5 55.1
10 Idaho Stampede Idaho Stampede 50.0 50 25 25 5615 5564 112.3 111.3 1.0 53.2
11 Indiana Mad Ants Indiana Mad Ants 44.0 50 22 28 5050 5106 101.0 102.1 -1.1 46.2
12 Birmingham Squadron Birmingham Squadron 42.0 50 21 29 4796 4856 95.9 97.1 -1.2 45.7
13 New Mexico Thunderbirds New Mexico Thunderbirds 36.0 50 18 32 5030 5276 100.6 105.5 -4.9 34.0
14 Bakersfield Jam Bakersfield Jam 34.0 50 17 33 5225 5388 104.5 107.8 -3.3 39.5
15 Los Angeles D-Fenders Los Angeles D-Fenders 32.0 50 16 34 5199 5396 104.0 107.9 -3.9 37.3
16 Springfield Armor Springfield Armor 14.0 50 7 43 4836 5416 96.7 108.3 -11.6 17.1

Standings glossary

Stats abbreviations

  • Rk: rank
  • % Victory: number of win / number of games played
  • Gp: number of games played
  • Gw: number of games won
  • GL: number of games lost
  • Pts+: total number of points scored by the team
  • Pts-: total number of points scored by opposing teams
  • Pts+ /g: total number of points scored by the team per game
  • Pts- /g: total number of points scored by opposing teams per game
  • Diff: difference between points scored and received per game
  • Expected Winning %: through our basketball statistical database and the use of advanced stats, we are able to project a team’s win percentage which then allows us to project how many wins a team is expected to have. These projections are a unique way to understand whether a team has played better or worse than their record indicates.