France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 1987-1988 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Montpellier | 75.0 | 28 | 21 | 7 | 2966 | 2717 | 105.9 | 97.0 | 8.9 | 77.2 |
2 | Saint-Quentin | 71.4 | 28 | 20 | 8 | 2447 | 2305 | 87.4 | 82.3 | 5.1 | 69.7 |
3 | Gravelines | 67.9 | 28 | 19 | 9 | 2577 | 2432 | 92.0 | 86.9 | 5.1 | 69.1 |
4 | Le Mans | 60.7 | 28 | 17 | 11 | 2474 | 2408 | 88.4 | 86.0 | 2.4 | 59.3 |
5 | Nice 87 | 60.7 | 28 | 17 | 11 | 2589 | 2588 | 92.5 | 92.4 | 0.1 | 50.1 |
6 | Dijon | 57.1 | 28 | 16 | 12 | 2585 | 2524 | 92.3 | 90.1 | 2.2 | 58.2 |
7 | Roanne | 50.0 | 28 | 14 | 14 | 2635 | 2526 | 94.1 | 90.2 | 3.9 | 64.3 |
8 | Cognac | 50.0 | 28 | 14 | 14 | 2507 | 2503 | 89.5 | 89.4 | 0.1 | 50.6 |
9 | Nancy | 50.0 | 28 | 14 | 14 | 2536 | 2618 | 90.6 | 93.5 | -2.9 | 39.1 |
10 | Rennes | 42.9 | 28 | 12 | 16 | 2508 | 2553 | 89.6 | 91.2 | -1.6 | 43.8 |
11 | CRO Lyon | 39.3 | 28 | 11 | 17 | 2578 | 2648 | 92.1 | 94.6 | -2.5 | 40.8 |
12 | Berck Rang du Fliers | 39.3 | 28 | 11 | 17 | 2548 | 2649 | 91.0 | 94.6 | -3.6 | 36.8 |
13 | Spacer's de Toulouse | 32.1 | 28 | 9 | 19 | 2663 | 2872 | 95.1 | 102.6 | -7.5 | 25.9 |
14 | Voiron | 28.6 | 28 | 8 | 20 | 2587 | 2740 | 92.4 | 97.9 | -5.5 | 31.0 |
15 | Evreux | 25.0 | 28 | 7 | 21 | 2379 | 2496 | 85.0 | 89.1 | -4.1 | 33.9 |
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.