G-League basketball (USA-2)

Standings for 2010-2011 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 5687 5391 113.7 107.8 5.9 67.8
2 Stockton Kings Stockton Kings 68.0 50 34 16 5170 4906 103.4 98.1 5.3 67.5
3 Rio Grande Valley Vipers Rio Grande Valley Vipers 66.0 50 33 17 5476 5226 109.5 104.5 5.0 65.7
4 Oklahoma City Blue Oklahoma City Blue 66.0 50 33 17 5150 4941 103.0 98.8 4.2 64.0
5 Birmingham Squadron Birmingham Squadron 64.0 50 32 18 5324 5112 106.5 102.2 4.3 63.8
6 Bakersfield Jam Bakersfield Jam 58.0 50 29 21 5421 5226 108.4 104.5 3.9 62.5
7 Utah Flash Utah Flash 56.0 50 28 22 5051 4964 101.0 99.3 1.7 56.0
8 Idaho Stampede Idaho Stampede 48.0 50 24 26 5154 5112 103.1 102.2 0.9 52.8
9 Texas Legends Texas Legends 48.0 50 24 26 5459 5434 109.2 108.7 0.5 51.6
10 Indiana Mad Ants Indiana Mad Ants 48.0 50 24 26 5213 5240 104.3 104.8 -0.5 48.2
11 Austin Spurs Austin Spurs 44.0 50 22 28 5193 5333 103.9 106.7 -2.8 40.9
12 New Mexico Thunderbirds New Mexico Thunderbirds 40.0 50 20 30 5155 5346 103.1 106.9 -3.8 37.6
13 Santa Cruz Warriors Santa Cruz Warriors 36.7 49 18 31 4900 5011 100.0 102.3 -2.3 42.3
14 Maine Celtics Maine Celtics 36.0 50 18 32 5024 5315 100.5 106.3 -5.8 31.4
15 Springfield Armor Springfield Armor 26.0 50 13 37 4945 5347 98.9 106.9 -8.0 25.2
16 Sioux Falls Skyforce Sioux Falls Skyforce 20.4 49 10 39 4830 5248 98.6 107.1 -8.5 24.0

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.