France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 2002-2003 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Reims | 76.7 | 30 | 23 | 7 | 2617 | 2392 | 87.2 | 79.7 | 7.5 | 77.7 |
2 | Besançon | 73.3 | 30 | 22 | 8 | 2577 | 2282 | 85.9 | 76.1 | 9.8 | 84.4 |
3 | Rueil | 70.0 | 30 | 21 | 9 | 2668 | 2475 | 88.9 | 82.5 | 6.4 | 74.0 |
4 | Saint-Quentin | 60.0 | 30 | 18 | 12 | 2517 | 2444 | 83.9 | 81.5 | 2.4 | 60.1 |
5 | Mulhouse | 56.7 | 30 | 17 | 13 | 2436 | 2410 | 81.2 | 80.3 | 0.9 | 53.7 |
6 | Clermont | 56.7 | 30 | 17 | 13 | 2331 | 2277 | 77.7 | 75.9 | 1.8 | 58.1 |
7 | Châlons | 56.7 | 30 | 17 | 13 | 2399 | 2260 | 80.0 | 75.3 | 4.7 | 69.6 |
8 | Golbey-Epinal | 53.3 | 30 | 16 | 14 | 2558 | 2537 | 85.3 | 84.6 | 0.7 | 52.9 |
9 | Brest | 46.7 | 30 | 14 | 16 | 2617 | 2577 | 87.2 | 85.9 | 1.3 | 55.3 |
10 | Roche-St Etienne | 40.0 | 30 | 12 | 18 | 2421 | 2438 | 80.7 | 81.3 | -0.6 | 47.6 |
11 | Antibes | 40.0 | 30 | 12 | 18 | 2414 | 2573 | 80.5 | 85.8 | -5.3 | 29.2 |
12 | Evreux | 36.7 | 30 | 11 | 19 | 2472 | 2585 | 82.4 | 86.2 | -3.8 | 34.9 |
13 | Aix-Maurienne | 36.7 | 30 | 11 | 19 | 2172 | 2408 | 72.4 | 80.3 | -7.9 | 19.2 |
14 | Beauvais | 33.3 | 30 | 10 | 20 | 2463 | 2537 | 82.1 | 84.6 | -2.5 | 39.8 |
15 | Orléans | 33.3 | 30 | 10 | 20 | 2436 | 2644 | 81.2 | 88.1 | -6.9 | 24.2 |
16 | Nantes | 30.0 | 30 | 9 | 21 | 2358 | 2617 | 78.6 | 87.2 | -8.6 | 19.0 |
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.