France - Pro B basketball (FRA-2)

Standings for 2008-2009 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Boulogne-Levallois Boulogne-Levallois 82.4 34 28 6 2673 2395 78.6 70.4 8.2 82.2
2 Poitiers Poitiers 76.5 34 26 8 2756 2556 81.1 75.2 5.9 74.0
3 Bourg-en-Bresse Bourg-en-Bresse 67.7 34 23 11 2652 2550 78.0 75.0 3.0 63.3
4 Clermont Clermont 67.7 34 23 11 2634 2514 77.5 73.9 3.6 65.7
5 Limoges Limoges 61.8 34 21 13 2664 2440 78.4 71.8 6.6 77.2
6 Charleville-Méz. Charleville-Méz. 58.8 34 20 14 2626 2586 77.2 76.1 1.1 55.3
7 Nantes Nantes 55.9 34 19 15 2662 2626 78.3 77.2 1.1 54.7
8 Roche-St Etienne Roche-St Etienne 55.9 34 19 15 2693 2678 79.2 78.8 0.4 51.9
9 Nanterre Nanterre 47.1 34 16 18 2696 2649 79.3 77.9 1.4 56.1
10 Antibes Antibes 47.1 34 16 18 2623 2576 77.1 75.8 1.3 56.3
11 Brest Brest 47.1 34 16 18 2528 2549 74.4 75.0 -0.6 47.1
12 Aix-Maurienne Aix-Maurienne 44.1 34 15 19 2721 2804 80.0 82.5 -2.5 39.7
13 Evreux Evreux 41.2 34 14 20 2573 2666 75.7 78.4 -2.7 37.9
14 Boulazac Boulazac 38.2 34 13 21 2535 2614 74.6 76.9 -2.3 39.5
15 Saint-Vallier Saint-Vallier 35.3 34 12 22 2701 2809 79.4 82.6 -3.2 36.7
16 Le Portel Le Portel 32.4 34 11 23 2430 2541 71.5 74.7 -3.2 34.9
17 Saint-Quentin Saint-Quentin 26.5 34 9 25 2592 2796 76.2 82.2 -6.0 25.8
18 Quimper Quimper 14.7 34 5 29 2355 2765 69.3 81.3 -12.0 9.7

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.