France - NM 1 basketball (FRA-3)

Standings for 2016-2017 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Caen Caen 79.4 34 27 7 2788 2531 82.0 74.4 7.6 79.3
2 Quimper Quimper 70.6 34 24 10 2731 2327 80.3 68.4 11.9 90.3
3 Souffelweyersheim Souffelweyersheim 67.7 34 23 11 2655 2455 78.1 72.2 5.9 74.8
4 Golbey-Epinal Golbey-Epinal 61.8 34 21 13 2552 2372 75.1 69.8 5.3 73.4
5 Challans Challans 55.9 34 19 15 2746 2647 80.8 77.9 2.9 62.5
6 Rueil Rueil 55.9 34 19 15 2831 2772 83.3 81.5 1.8 57.3
7 Orchies Orchies 55.9 34 19 15 2610 2617 76.8 77.0 -0.2 49.1
8 Tarbes-Lourdes Tarbes-Lourdes 55.9 34 19 15 2756 2788 81.1 82.0 -0.9 46.0
9 Chartres Chartres 50.0 34 17 17 2698 2652 79.4 78.0 1.4 56.0
10 Andrézieux-Bouthéon Andrézieux-Bouthéon 50.0 34 17 17 2554 2686 75.1 79.0 -3.9 33.2
11 Lorient Lorient 47.1 34 16 18 2686 2565 79.0 75.4 3.6 65.5
12 Alliance Sport Alsace Alliance Sport Alsace 47.1 34 16 18 2645 2618 77.8 77.0 0.8 53.6
13 Saint-Vallier Saint-Vallier 47.1 34 16 18 2722 2755 80.1 81.0 -0.9 45.8
14 Avignon Le Pontet Avignon Le Pontet 44.1 34 15 19 2570 2624 75.6 77.2 -1.6 42.8
15 Angers Angers 38.2 34 13 21 2616 2668 76.9 78.5 -1.6 43.2
16 Vitré Vitré 38.2 34 13 21 2402 2475 70.6 72.8 -2.2 39.7
17 Rennes Rennes 35.3 34 12 22 2594 2674 76.3 78.6 -2.3 39.6
18 Pôle France Pôle France 0.0 34 0 34 2025 2955 59.6 86.9 -27.3 0.5

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.