G-League
Standings
G-League basketball (USA-2)
Standings for 2007-2008 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Idaho Stampede | 72.0 | 50 | 36 | 14 | 5148 | 4973 | 103.0 | 99.5 | 3.5 | 61.8 |
2 | Los Angeles D-Fenders | 64.0 | 50 | 32 | 18 | 5233 | 5027 | 104.7 | 100.5 | 4.2 | 63.6 |
3 | Austin Spurs | 60.0 | 50 | 30 | 20 | 5456 | 5339 | 109.1 | 106.8 | 2.3 | 57.5 |
4 | Texas Legends | 58.0 | 50 | 29 | 21 | 5466 | 5198 | 109.3 | 104.0 | 5.3 | 66.8 |
5 | Santa Cruz Warriors | 58.0 | 50 | 29 | 21 | 5390 | 5281 | 107.8 | 105.6 | 2.2 | 57.1 |
6 | Sioux Falls Skyforce | 56.0 | 50 | 28 | 22 | 5242 | 5199 | 104.8 | 104.0 | 0.8 | 52.9 |
7 | Oklahoma City Blue | 52.0 | 50 | 26 | 24 | 5301 | 5323 | 106.0 | 106.5 | -0.5 | 48.6 |
8 | Utah Flash | 48.0 | 50 | 24 | 26 | 5069 | 5031 | 101.4 | 100.6 | 0.8 | 52.6 |
9 | Anaheim Arsenal | 46.0 | 50 | 23 | 27 | 5112 | 5150 | 102.2 | 103.0 | -0.8 | 47.4 |
10 | New Mexico Thunderbirds | 44.0 | 50 | 22 | 28 | 5192 | 5296 | 103.8 | 105.9 | -2.1 | 43.1 |
11 | Iowa Wolves | 44.0 | 50 | 22 | 28 | 5241 | 5366 | 104.8 | 107.3 | -2.5 | 41.9 |
12 | Rio Grande Valley Vipers | 42.0 | 50 | 21 | 29 | 5311 | 5414 | 106.2 | 108.3 | -2.1 | 43.4 |
13 | Indiana Mad Ants | 34.0 | 50 | 17 | 33 | 5290 | 5508 | 105.8 | 110.2 | -4.4 | 36.3 |
14 | Bakersfield Jam | 22.0 | 50 | 11 | 39 | 4970 | 5316 | 99.4 | 106.3 | -6.9 | 28.2 |
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.