France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 2001-2002 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vichy-Clermont | 80.0 | 30 | 24 | 6 | 2676 | 2417 | 89.2 | 80.6 | 8.6 | 80.5 |
2 | Roanne | 70.0 | 30 | 21 | 9 | 2618 | 2462 | 87.3 | 82.1 | 5.2 | 70.2 |
3 | Reims | 60.0 | 30 | 18 | 12 | 2554 | 2446 | 85.1 | 81.5 | 3.6 | 64.6 |
4 | Rueil | 56.7 | 30 | 17 | 13 | 2557 | 2530 | 85.2 | 84.3 | 0.9 | 53.7 |
5 | Châlons | 53.3 | 30 | 16 | 14 | 2497 | 2389 | 83.2 | 79.6 | 3.6 | 64.9 |
6 | Evreux | 53.3 | 30 | 16 | 14 | 2602 | 2569 | 86.7 | 85.6 | 1.1 | 54.4 |
7 | Besançon | 53.3 | 30 | 16 | 14 | 2369 | 2295 | 79.0 | 76.5 | 2.5 | 60.9 |
8 | Golbey-Epinal | 53.3 | 30 | 16 | 14 | 2520 | 2480 | 84.0 | 82.7 | 1.3 | 55.5 |
9 | Saint-Quentin | 50.0 | 30 | 15 | 15 | 2408 | 2349 | 80.3 | 78.3 | 2.0 | 58.5 |
10 | Nantes | 46.7 | 30 | 14 | 16 | 2408 | 2543 | 80.3 | 84.8 | -4.5 | 31.9 |
11 | Beauvais | 43.3 | 30 | 13 | 17 | 2424 | 2541 | 80.8 | 84.7 | -3.9 | 34.2 |
12 | Mulhouse | 40.0 | 30 | 12 | 18 | 2541 | 2504 | 84.7 | 83.5 | 1.2 | 55.1 |
13 | Roche-St Etienne | 40.0 | 30 | 12 | 18 | 2480 | 2584 | 82.7 | 86.1 | -3.4 | 36.1 |
14 | Aix-Maurienne | 40.0 | 30 | 12 | 18 | 2352 | 2501 | 78.4 | 83.4 | -5.0 | 29.9 |
15 | Brest | 30.0 | 30 | 9 | 21 | 2597 | 2803 | 86.6 | 93.4 | -6.8 | 25.7 |
16 | Bondy | 30.0 | 30 | 9 | 21 | 2623 | 2813 | 87.4 | 93.8 | -6.4 | 27.4 |
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.