France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 2003-2004 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Clermont | 86.7 | 30 | 26 | 4 | 2402 | 2139 | 80.1 | 71.3 | 8.8 | 83.4 |
2 | Châlons | 73.3 | 30 | 22 | 8 | 2494 | 2321 | 83.1 | 77.4 | 5.7 | 73.1 |
3 | Golbey-Epinal | 63.3 | 30 | 19 | 11 | 2612 | 2513 | 87.1 | 83.8 | 3.3 | 63.1 |
4 | Saint-Quentin | 60.0 | 30 | 18 | 12 | 2505 | 2427 | 83.5 | 80.9 | 2.6 | 60.8 |
5 | Rueil | 60.0 | 30 | 18 | 12 | 2405 | 2351 | 80.2 | 78.4 | 1.8 | 57.8 |
6 | Rouen | 53.3 | 30 | 16 | 14 | 2475 | 2515 | 82.5 | 83.8 | -1.3 | 44.4 |
7 | Roche-St Etienne | 53.3 | 30 | 16 | 14 | 2404 | 2387 | 80.1 | 79.6 | 0.5 | 52.5 |
8 | Brest | 50.0 | 30 | 15 | 15 | 2758 | 2784 | 91.9 | 92.8 | -0.9 | 46.7 |
9 | Mulhouse | 50.0 | 30 | 15 | 15 | 2490 | 2477 | 83.0 | 82.6 | 0.4 | 51.8 |
10 | Aix-Maurienne | 46.7 | 30 | 14 | 16 | 2508 | 2508 | 83.6 | 83.6 | 0.0 | 50.0 |
11 | Antibes | 46.7 | 30 | 14 | 16 | 2362 | 2393 | 78.7 | 79.8 | -1.1 | 45.5 |
12 | Evreux | 40.0 | 30 | 12 | 18 | 2509 | 2566 | 83.6 | 85.5 | -1.9 | 42.3 |
13 | Nantes | 33.3 | 30 | 10 | 20 | 2517 | 2623 | 83.9 | 87.4 | -3.5 | 36.0 |
14 | Beauvais | 30.0 | 30 | 9 | 21 | 2388 | 2504 | 79.6 | 83.5 | -3.9 | 34.1 |
15 | Orléans | 30.0 | 30 | 9 | 21 | 2468 | 2601 | 82.3 | 86.7 | -4.4 | 32.5 |
16 | Angers | 23.3 | 30 | 7 | 23 | 2290 | 2478 | 76.3 | 82.6 | -6.3 | 25.0 |
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.