France - Betclic Elite basketball (FRA-1)

Standings for 2014-2015 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Strasbourg Strasbourg 88.2 34 30 4 2592 2230 76.2 65.6 10.6 89.0
2 Nanterre Nanterre 73.5 34 25 9 2797 2517 82.3 74.0 8.3 81.3
3 Limoges Limoges 67.7 34 23 11 2766 2593 81.4 76.3 5.1 71.1
4 Le Mans Le Mans 55.9 34 19 15 2553 2537 75.1 74.6 0.5 52.2
5 LDLC ASVEL LDLC ASVEL 55.9 34 19 15 2536 2465 74.6 72.5 2.1 59.7
6 Le Havre Le Havre 55.9 34 19 15 2585 2568 76.0 75.5 0.5 52.3
7 Nancy Nancy 52.9 34 18 16 2608 2565 76.7 75.4 1.3 55.8
8 Chalon Chalon 52.9 34 18 16 2618 2575 77.0 75.7 1.3 55.7
9 Gravelines Gravelines 52.9 34 18 16 2533 2441 74.5 71.8 2.7 62.6
10 Dijon Dijon 50.0 34 17 17 2584 2595 76.0 76.3 -0.3 48.5
11 Boulogne-Levallois Boulogne-Levallois 50.0 34 17 17 2611 2551 76.8 75.0 1.8 58.0
12 Châlons-Reims Châlons-Reims 50.0 34 17 17 2712 2702 79.8 79.5 0.3 51.3
13 Pau-Lacq-Orthez Pau-Lacq-Orthez 38.2 34 13 21 2539 2648 74.7 77.9 -3.2 35.8
14 Cholet Cholet 38.2 34 13 21 2661 2770 78.3 81.5 -3.2 36.4
15 Rouen Rouen 35.3 34 12 22 2544 2718 74.8 79.9 -5.1 28.5
16 Orléans Orléans 29.4 34 10 24 2535 2751 74.6 80.9 -6.3 24.3
17 Bourg-en-Bresse Bourg-en-Bresse 26.5 34 9 25 2635 2851 77.5 83.9 -6.4 25.1
18 Boulogne-sur-Mer Boulogne-sur-Mer 26.5 34 9 25 2632 2964 77.4 87.2 -9.8 16.1

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.