France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 1996-1997 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Spacer's de Toulouse | 90.0 | 30 | 27 | 3 | 2613 | 2187 | 87.1 | 72.9 | 14.2 | 92.2 |
2 | Châlons | 73.3 | 30 | 22 | 8 | 2379 | 2207 | 79.3 | 73.6 | 5.7 | 74.0 |
3 | Aix-Maurienne | 66.7 | 30 | 20 | 10 | 2386 | 2253 | 79.5 | 75.1 | 4.4 | 69.0 |
4 | Angers | 60.0 | 30 | 18 | 12 | 2377 | 2350 | 79.2 | 78.3 | 0.9 | 54.0 |
5 | Le Havre | 60.0 | 30 | 18 | 12 | 2475 | 2398 | 82.5 | 79.9 | 2.6 | 60.8 |
6 | Bourg-en-Bresse | 53.3 | 30 | 16 | 14 | 2429 | 2297 | 81.0 | 76.6 | 4.4 | 68.5 |
7 | Poissy | 50.0 | 30 | 15 | 15 | 2444 | 2407 | 81.5 | 80.2 | 1.3 | 55.3 |
8 | Hyères-Toulon | 50.0 | 30 | 15 | 15 | 2396 | 2354 | 79.9 | 78.5 | 1.4 | 56.1 |
9 | Nantes | 50.0 | 30 | 15 | 15 | 2337 | 2408 | 77.9 | 80.3 | -2.4 | 39.7 |
10 | Golbey-Epinal | 46.7 | 30 | 14 | 16 | 2338 | 2297 | 77.9 | 76.6 | 1.3 | 56.1 |
11 | Brest | 40.0 | 30 | 12 | 18 | 2382 | 2553 | 79.4 | 85.1 | -5.7 | 27.6 |
12 | Saint-Brieuc | 36.7 | 30 | 11 | 19 | 2358 | 2439 | 78.6 | 81.3 | -2.7 | 38.5 |
13 | Tours | 36.7 | 30 | 11 | 19 | 2360 | 2552 | 78.7 | 85.1 | -6.4 | 25.2 |
14 | Roanne | 33.3 | 30 | 10 | 20 | 2299 | 2412 | 76.6 | 80.4 | -3.8 | 33.9 |
15 | JA Vichy | 30.0 | 30 | 9 | 21 | 2363 | 2539 | 78.8 | 84.6 | -5.8 | 26.9 |
16 | Caen | 23.3 | 30 | 7 | 23 | 2277 | 2560 | 75.9 | 85.3 | -9.4 | 16.4 |
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.