France - NM 1 basketball (FRA-3)

Standings for 2010-2011 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Bordeaux Bordeaux 82.4 34 28 6 2665 2300 78.4 67.6 10.8 88.6
2 Denain Denain 67.7 34 23 11 2814 2626 82.8 77.2 5.6 72.3
3 Angers Angers 64.7 34 22 12 2643 2538 77.7 74.6 3.1 63.7
4 Saint-Quentin Saint-Quentin 61.8 34 21 13 2753 2568 81.0 75.5 5.5 72.5
5 Brest Brest 61.8 34 21 13 2774 2690 81.6 79.1 2.5 60.5
6 Avignon Le Pontet Avignon Le Pontet 58.8 34 20 14 2640 2429 77.6 71.4 6.2 76.1
7 Roche-St Etienne Roche-St Etienne 55.9 34 19 15 2577 2521 75.8 74.1 1.7 57.6
8 Challans Challans 52.9 34 18 16 2663 2597 78.3 76.4 1.9 58.6
9 Le Puy Le Puy 52.9 34 18 16 2757 2716 81.1 79.9 1.2 55.2
10 Orchies Orchies 47.1 34 16 18 2482 2503 73.0 73.6 -0.6 47.1
11 Lievin Lievin 47.1 34 16 18 2480 2519 72.9 74.1 -1.2 44.6
12 Souffelweyersheim Souffelweyersheim 47.1 34 16 18 2425 2486 71.3 73.1 -1.8 41.4
13 Blois Blois 47.1 34 16 18 2621 2691 77.1 79.1 -2.0 40.9
14 Denek Bat Urcuit Denek Bat Urcuit 44.1 34 15 19 2721 2723 80.0 80.1 -0.1 49.7
15 Saint-Chamond Saint-Chamond 44.1 34 15 19 2529 2583 74.4 76.0 -1.6 42.7
16 Golbey-Epinal Golbey-Epinal 26.5 34 9 25 2442 2730 71.8 80.3 -8.5 17.5
17 Roche-la-Molière Roche-la-Molière 23.5 34 8 26 2378 2648 69.9 77.9 -8.0 18.3
18 Pôle France Pôle France 14.7 34 5 29 2339 2835 68.8 83.4 -14.6 6.4

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.