France - Pro B basketball (FRA-2)

Standings for 2013-2014 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 SOM Boulogne SOM Boulogne 72.7 44 32 12 3575 3287 81.3 74.7 6.6 76.3
2 Bourg-en-Bresse Bourg-en-Bresse 70.5 44 31 13 3381 3136 76.8 71.3 5.5 74.0
3 Champagne Basket Champagne Basket 68.2 44 30 14 3612 3377 82.1 76.8 5.3 71.8
4 Poitiers Poitiers 59.1 44 26 18 3352 3280 76.2 74.5 1.7 57.5
5 Le Portel Le Portel 56.8 44 25 19 3541 3368 80.5 76.5 4.0 66.7
6 Evreux Evreux 56.8 44 25 19 3283 3156 74.6 71.7 2.9 63.4
7 Fos-sur-Mer Fos-sur-Mer 54.6 44 24 20 3336 3311 75.8 75.3 0.5 52.6
8 Aix-Maurienne Aix-Maurienne 54.6 44 24 20 3495 3534 79.4 80.3 -0.9 46.1
9 Hyères-Toulon Hyères-Toulon 50.0 44 22 22 3335 3311 75.8 75.3 0.5 52.5
10 Saint-Quentin Saint-Quentin 50.0 44 22 22 3487 3539 79.3 80.4 -1.1 44.9
11 Denain Denain 47.7 44 21 23 3503 3543 79.6 80.5 -0.9 46.1
12 Boulazac Boulazac 43.2 44 19 25 3403 3376 77.3 76.7 0.6 52.8
13 Souffelweyersheim Souffelweyersheim 43.2 44 19 25 3105 3209 70.6 72.9 -2.3 38.7
14 Rouen Rouen 36.4 44 16 28 3216 3412 73.1 77.5 -4.4 30.5
15 Nantes Nantes 36.4 44 16 28 3290 3525 74.8 80.1 -5.3 27.7
16 Lille Lille 34.1 44 15 29 3387 3520 77.0 80.0 -3.0 36.9
17 Orchies Orchies 34.1 44 15 29 3223 3456 73.3 78.5 -5.2 27.5
18 Saint-Vallier Saint-Vallier 31.8 44 14 30 3384 3568 76.9 81.1 -4.2 32.4

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.