France - Pro B basketball (FRA-2)

Standings for 2015-2016 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Hyères-Toulon Hyères-Toulon 76.5 34 26 8 2720 2390 80.0 70.3 9.7 85.8
2 Fos-sur-Mer Fos-sur-Mer 61.8 34 21 13 2533 2535 74.5 74.6 -0.1 49.7
3 Evreux Evreux 61.8 34 21 13 2938 2798 86.4 82.3 4.1 66.4
4 Boulazac Boulazac 58.8 34 20 14 2827 2697 83.1 79.3 3.8 65.8
5 Bourg-en-Bresse Bourg-en-Bresse 58.8 34 20 14 2582 2600 75.9 76.5 -0.6 47.6
6 Le Portel Le Portel 55.9 34 19 15 2532 2420 74.5 71.2 3.3 65.2
7 Nantes Nantes 52.9 34 18 16 2634 2541 77.5 74.7 2.8 62.2
8 Lille Lille 52.9 34 18 16 2489 2453 73.2 72.1 1.1 55.0
9 Poitiers Poitiers 52.9 34 18 16 2649 2634 77.9 77.5 0.4 52.0
10 Vichy-Clermont Vichy-Clermont 50.0 34 17 17 2538 2522 74.6 74.2 0.4 52.2
11 Saint-Quentin Saint-Quentin 50.0 34 17 17 2435 2448 71.6 72.0 -0.4 48.1
12 SOM Boulogne SOM Boulogne 47.1 34 16 18 2760 2793 81.2 82.1 -0.9 45.9
13 Denain Denain 44.1 34 15 19 2466 2579 72.5 75.9 -3.4 34.9
14 Saint-Chamond Saint-Chamond 41.2 34 14 20 2581 2651 75.9 78.0 -2.1 40.8
15 Charleville-Méz. Charleville-Méz. 41.2 34 14 20 2635 2691 77.5 79.1 -1.6 42.7
16 Roanne Roanne 38.2 34 13 21 2655 2792 78.1 82.1 -4.0 33.2
17 Souffelweyersheim Souffelweyersheim 32.4 34 11 23 2325 2510 68.4 73.8 -5.4 25.6
18 Orchies Orchies 23.5 34 8 26 2504 2749 73.6 80.9 -7.3 21.4

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.