France - Pro B basketball (FRA-2)

Standings for 2012-2013 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Pau-Lacq-Orthez Pau-Lacq-Orthez 76.5 34 26 8 2892 2612 85.1 76.8 8.3 80.5
2 Evreux Evreux 73.5 34 25 9 2804 2575 82.5 75.7 6.8 76.6
3 Champagne Basket Champagne Basket 67.7 34 23 11 2722 2493 80.1 73.3 6.8 77.2
4 SOM Boulogne SOM Boulogne 61.8 34 21 13 3032 2918 89.2 85.8 3.4 63.0
5 Antibes Antibes 61.8 34 21 13 2842 2661 83.6 78.3 5.3 71.4
6 Fos-sur-Mer Fos-sur-Mer 61.8 34 21 13 2684 2575 78.9 75.7 3.2 64.0
7 Le Portel Le Portel 58.8 34 20 14 2724 2670 80.1 78.5 1.6 56.9
8 Bourg-en-Bresse Bourg-en-Bresse 55.9 34 19 15 2646 2608 77.8 76.7 1.1 55.0
9 Rouen Rouen 55.9 34 19 15 2812 2727 82.7 80.2 2.5 60.5
10 Aix-Maurienne Aix-Maurienne 52.9 34 18 16 2726 2645 80.2 77.8 2.4 60.3
11 Lille Lille 50.0 34 17 17 2660 2642 78.2 77.7 0.5 52.4
12 Hyères-Toulon Hyères-Toulon 44.1 34 15 19 2506 2661 73.7 78.3 -4.6 30.3
13 Saint-Quentin Saint-Quentin 44.1 34 15 19 2786 2789 81.9 82.0 -0.1 49.6
14 Denain Denain 38.2 34 13 21 2639 2807 77.6 82.6 -5.0 29.8
15 Saint-Vallier Saint-Vallier 29.4 34 10 24 2698 2901 79.4 85.3 -5.9 26.7
16 Nantes Nantes 29.4 34 10 24 2616 2854 76.9 83.9 -7.0 22.9
17 Bordeaux Bordeaux 23.5 34 8 26 2680 2960 78.8 87.1 -8.3 20.1
18 Charleville-Méz. Charleville-Méz. 14.7 34 5 29 2566 2937 75.5 86.4 -10.9 13.3

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.