France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 2000-2001 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Limoges | 76.7 | 30 | 23 | 7 | 2630 | 2357 | 87.7 | 78.6 | 9.1 | 82.1 |
2 | Roanne | 63.3 | 30 | 19 | 11 | 2677 | 2521 | 89.2 | 84.0 | 5.2 | 69.7 |
3 | Golbey-Epinal | 63.3 | 30 | 19 | 11 | 2482 | 2415 | 82.7 | 80.5 | 2.2 | 59.4 |
4 | JA Vichy | 63.3 | 30 | 19 | 11 | 2537 | 2376 | 84.6 | 79.2 | 5.4 | 71.3 |
5 | Hyères-Toulon | 63.3 | 30 | 19 | 11 | 2600 | 2424 | 86.7 | 80.8 | 5.9 | 72.6 |
6 | Mulhouse | 60.0 | 30 | 18 | 12 | 2532 | 2407 | 84.4 | 80.2 | 4.2 | 66.9 |
7 | Châlons | 60.0 | 30 | 18 | 12 | 2546 | 2414 | 84.9 | 80.5 | 4.4 | 67.7 |
8 | Brest | 56.7 | 30 | 17 | 13 | 2550 | 2579 | 85.0 | 86.0 | -1.0 | 46.1 |
9 | Rueil | 53.3 | 30 | 16 | 14 | 2458 | 2451 | 81.9 | 81.7 | 0.2 | 51.0 |
10 | Reims | 43.3 | 30 | 13 | 17 | 2468 | 2616 | 82.3 | 87.2 | -4.9 | 30.8 |
11 | Bondy | 36.7 | 30 | 11 | 19 | 2426 | 2485 | 80.9 | 82.8 | -1.9 | 41.7 |
12 | Beauvais | 36.7 | 30 | 11 | 19 | 2406 | 2530 | 80.2 | 84.3 | -4.1 | 33.2 |
13 | Poissy | 33.3 | 30 | 10 | 20 | 2476 | 2741 | 82.5 | 91.4 | -8.9 | 19.6 |
14 | Aix-Maurienne | 33.3 | 30 | 10 | 20 | 2551 | 2638 | 85.0 | 87.9 | -2.9 | 38.5 |
15 | Nantes | 30.0 | 30 | 9 | 21 | 2361 | 2556 | 78.7 | 85.2 | -6.5 | 24.9 |
16 | Angers | 26.7 | 30 | 8 | 22 | 2341 | 2531 | 78.0 | 84.4 | -6.4 | 25.2 |
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.