France - NM1 basketball (FRA-3)

Standings for 2008-2009 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Lille Lille 82.4 34 28 6 2612 2288 76.8 67.3 9.5 86.3
2 Fos-sur-Mer Fos-sur-Mer 76.5 34 26 8 2763 2335 81.3 68.7 12.6 91.2
3 Bordeaux Bordeaux 76.5 34 26 8 2595 2356 76.3 69.3 7.0 79.3
4 Vendée Challans Basket Vendée Challans Basket 70.6 34 24 10 2670 2569 78.5 75.6 2.9 63.1
5 Angers Angers 67.7 34 23 11 2608 2486 76.7 73.1 3.6 66.1
6 Blois Blois 61.8 34 21 13 2778 2625 81.7 77.2 4.5 68.7
7 Reims Reims 55.9 34 19 15 2745 2681 80.7 78.9 1.8 58.1
8 SOM Boulogne SOM Boulogne 52.9 34 18 16 2768 2733 81.4 80.4 1.0 54.4
9 Châlons Châlons 52.9 34 18 16 2447 2505 72.0 73.7 -1.7 41.9
10 Golbey-Epinal Golbey-Epinal 47.1 34 16 18 2598 2555 76.4 75.1 1.3 55.8
11 Lievin Lievin 47.1 34 16 18 2605 2652 76.6 78.0 -1.4 43.8
12 Saint-Chamond Saint-Chamond 47.1 34 16 18 2450 2520 72.1 74.1 -2.0 40.3
13 Denek Bat Urcuit Denek Bat Urcuit 38.2 34 13 21 2540 2570 74.7 75.6 -0.9 45.9
14 Longwy Longwy 35.3 34 12 22 2688 2786 79.1 81.9 -2.8 37.8
15 Roche-la-Molière Roche-la-Molière 29.4 34 10 24 2634 2817 77.5 82.9 -5.4 28.2
16 Prissé-Mâcon Prissé-Mâcon 23.5 34 8 26 2467 2696 72.6 79.3 -6.7 22.5
17 Juvisy Juvisy 20.6 34 7 27 2553 2903 75.1 85.4 -10.3 14.3
18 Pôle France Pôle France 14.7 34 5 29 2254 2698 66.3 79.4 -13.1 7.6

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.