France - Betclic Elite
Standings
France - Betclic Elite basketball (FRA-1)
Standings for 2008-2009 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | LDLC ASVEL | 73.3 | 30 | 22 | 8 | 2367 | 2133 | 78.9 | 71.1 | 7.8 | 81.0 |
2 | Orléans | 70.0 | 30 | 21 | 9 | 2243 | 2058 | 74.8 | 68.6 | 6.2 | 76.8 |
3 | Le Mans | 66.7 | 30 | 20 | 10 | 2338 | 2029 | 77.9 | 67.6 | 10.3 | 87.8 |
4 | Nancy | 66.7 | 30 | 20 | 10 | 2432 | 2238 | 81.1 | 74.6 | 6.5 | 76.1 |
5 | Roanne | 63.3 | 30 | 19 | 11 | 2393 | 2345 | 79.8 | 78.2 | 1.6 | 57.0 |
6 | Gravelines | 56.7 | 30 | 17 | 13 | 2322 | 2230 | 77.4 | 74.3 | 3.1 | 63.7 |
7 | Chalon | 53.3 | 30 | 16 | 14 | 2279 | 2257 | 76.0 | 75.2 | 0.8 | 53.4 |
8 | Strasbourg | 53.3 | 30 | 16 | 14 | 2378 | 2324 | 79.3 | 77.5 | 1.8 | 57.9 |
9 | Cholet Basket | 50.0 | 30 | 15 | 15 | 2310 | 2307 | 77.0 | 76.9 | 0.1 | 50.5 |
10 | JA Vichy | 43.3 | 30 | 13 | 17 | 2027 | 2090 | 67.6 | 69.7 | -2.1 | 39.5 |
11 | Hyères-Toulon | 43.3 | 30 | 13 | 17 | 2368 | 2436 | 78.9 | 81.2 | -2.3 | 40.3 |
12 | Dijon | 36.7 | 30 | 11 | 19 | 2448 | 2564 | 81.6 | 85.5 | -3.9 | 34.4 |
13 | Rouen | 36.7 | 30 | 11 | 19 | 2251 | 2389 | 75.0 | 79.6 | -4.6 | 30.4 |
14 | Le Havre | 33.3 | 30 | 10 | 20 | 2286 | 2471 | 76.2 | 82.4 | -6.2 | 25.3 |
15 | Besançon | 30.0 | 30 | 9 | 21 | 2268 | 2479 | 75.6 | 82.6 | -7.0 | 22.5 |
16 | Pau-Lacq-Orthez | 23.3 | 30 | 7 | 23 | 2235 | 2595 | 74.5 | 86.5 | -12.0 | 11.1 |
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.