France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 1995-1996 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Chalon | 78.6 | 28 | 22 | 6 | 2455 | 2153 | 87.7 | 76.9 | 10.8 | 86.1 |
2 | Hyères-Toulon | 78.6 | 28 | 22 | 6 | 2372 | 2199 | 84.7 | 78.5 | 6.2 | 74.1 |
3 | Le Havre | 60.7 | 28 | 17 | 11 | 2332 | 2202 | 83.3 | 78.6 | 4.7 | 69.0 |
4 | Tours | 60.7 | 28 | 17 | 11 | 2207 | 2169 | 78.8 | 77.5 | 1.3 | 56.0 |
5 | Spacer's de Toulouse | 57.1 | 28 | 16 | 12 | 2497 | 2400 | 89.2 | 85.7 | 3.5 | 63.4 |
6 | Saint-Brieuc | 57.1 | 28 | 16 | 12 | 2276 | 2285 | 81.3 | 81.6 | -0.3 | 48.6 |
7 | Roanne | 53.6 | 28 | 15 | 13 | 2436 | 2417 | 87.0 | 86.3 | 0.7 | 52.7 |
8 | Nantes | 50.0 | 28 | 14 | 14 | 2381 | 2401 | 85.0 | 85.8 | -0.8 | 47.1 |
9 | Brest | 46.4 | 28 | 13 | 15 | 2269 | 2310 | 81.0 | 82.5 | -1.5 | 43.8 |
10 | Caen | 42.9 | 28 | 12 | 16 | 2413 | 2403 | 86.2 | 85.8 | 0.4 | 51.4 |
11 | Aix-Maurienne | 39.3 | 28 | 11 | 17 | 2253 | 2327 | 80.5 | 83.1 | -2.6 | 38.9 |
12 | Angers | 39.3 | 28 | 11 | 17 | 2248 | 2281 | 80.3 | 81.5 | -1.2 | 44.9 |
13 | Châlons | 32.1 | 28 | 9 | 19 | 2461 | 2515 | 87.9 | 89.8 | -1.9 | 42.5 |
14 | JA Vichy | 28.6 | 28 | 8 | 20 | 2349 | 2532 | 83.9 | 90.4 | -6.5 | 26.0 |
15 | Poissy | 21.4 | 28 | 6 | 22 | 2161 | 2516 | 77.2 | 89.9 | -12.7 | 10.8 |
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.