France - Betclic Elite
Standings
France - Betclic Elite basketball (FRA-1)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cholet Basket | 76.7 | 30 | 23 | 7 | 2296 | 2125 | 76.5 | 70.8 | 5.7 | 74.6 |
2 | Le Mans | 73.3 | 30 | 22 | 8 | 2390 | 2151 | 79.7 | 71.7 | 8.0 | 81.2 |
3 | Roanne | 70.0 | 30 | 21 | 9 | 2490 | 2324 | 83.0 | 77.5 | 5.5 | 72.3 |
4 | Gravelines | 66.7 | 30 | 20 | 10 | 2322 | 2254 | 77.4 | 75.1 | 2.3 | 60.2 |
5 | Nancy | 63.3 | 30 | 19 | 11 | 2430 | 2212 | 81.0 | 73.7 | 7.3 | 78.7 |
6 | Orléans | 60.0 | 30 | 18 | 12 | 2331 | 2168 | 77.7 | 72.3 | 5.4 | 73.3 |
7 | Boulogne-Levallois | 50.0 | 30 | 15 | 15 | 2378 | 2370 | 79.3 | 79.0 | 0.3 | 51.2 |
8 | Poitiers | 50.0 | 30 | 15 | 15 | 2183 | 2223 | 72.8 | 74.1 | -1.3 | 43.7 |
9 | LDLC ASVEL | 46.7 | 30 | 14 | 16 | 2233 | 2127 | 74.4 | 70.9 | 3.5 | 66.3 |
10 | JA Vichy | 43.3 | 30 | 13 | 17 | 2140 | 2111 | 71.3 | 70.4 | 0.9 | 54.7 |
11 | Hyères-Toulon | 43.3 | 30 | 13 | 17 | 2441 | 2506 | 81.4 | 83.5 | -2.1 | 41.0 |
12 | Chalon | 40.0 | 30 | 12 | 18 | 2343 | 2411 | 78.1 | 80.4 | -2.3 | 40.2 |
13 | Le Havre | 33.3 | 30 | 10 | 20 | 2223 | 2466 | 74.1 | 82.2 | -8.1 | 19.1 |
14 | Strasbourg | 33.3 | 30 | 10 | 20 | 2412 | 2542 | 80.4 | 84.7 | -4.3 | 32.5 |
15 | Rouen | 26.7 | 30 | 8 | 22 | 2290 | 2521 | 76.3 | 84.0 | -7.7 | 20.8 |
16 | Dijon | 23.3 | 30 | 7 | 23 | 2172 | 2563 | 72.4 | 85.4 | -13.0 | 9.1 |
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.