G-League basketball (USA-2)

Standings for 2011-2012 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Los Angeles D-Fenders Los Angeles D-Fenders 76.0 50 38 12 5298 4879 106.0 97.6 8.4 75.9
2 Austin Spurs Austin Spurs 66.0 50 33 17 5358 5054 107.2 101.1 6.1 69.3
3 Santa Cruz Warriors Santa Cruz Warriors 58.0 50 29 21 5251 5025 105.0 100.5 4.5 64.8
4 Springfield Armor Springfield Armor 58.0 50 29 21 5121 5042 102.4 100.8 1.6 55.4
5 Birmingham Squadron Birmingham Squadron 56.0 50 28 22 5149 5142 103.0 102.8 0.2 50.5
6 Bakersfield Jam Bakersfield Jam 56.0 50 28 22 5254 5265 105.1 105.3 -0.2 49.3
7 Cleveland Charge Cleveland Charge 54.0 50 27 23 5114 5086 102.3 101.7 0.6 51.9
8 Iowa Wolves Iowa Wolves 50.0 50 25 25 5046 5137 100.9 102.7 -1.8 43.8
9 Rio Grande Valley Vipers Rio Grande Valley Vipers 48.0 50 24 26 5501 5488 110.0 109.8 0.2 50.8
10 Texas Legends Texas Legends 48.0 50 24 26 5065 5138 101.3 102.8 -1.5 45.0
11 Oklahoma City Blue Oklahoma City Blue 46.0 50 23 27 4696 4679 93.9 93.6 0.3 51.3
12 Stockton Kings Stockton Kings 42.0 50 21 29 5411 5456 108.2 109.1 -0.9 47.1
13 Idaho Stampede Idaho Stampede 42.0 50 21 29 4919 5077 98.4 101.5 -3.1 39.2
14 Maine Celtics Maine Celtics 42.0 50 21 29 4967 5186 99.3 103.7 -4.4 35.4
15 Sioux Falls Skyforce Sioux Falls Skyforce 30.0 50 15 35 5015 5185 100.3 103.7 -3.4 38.6
16 Indiana Mad Ants Indiana Mad Ants 28.0 50 14 36 4840 5166 96.8 103.3 -6.5 28.8

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.