Germany - Pro A basketball (GER-2)

Standings for 2008-2009 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 SYNTAINICS MBC SYNTAINICS MBC 86.7 30 26 4 2499 2142 83.3 71.4 11.9 89.5
2 BBC Bayreuth BBC Bayreuth 80.0 30 24 6 2490 2094 83.0 69.8 13.2 91.8
3 Phoenix Hagen Phoenix Hagen 80.0 30 24 6 2793 2349 93.1 78.3 14.8 91.7
4 Karlsruhe Karlsruhe 63.3 30 19 11 2367 2309 78.9 77.0 1.9 58.5
5 Medipolis SC Jena Medipolis SC Jena 60.0 30 18 12 2368 2305 78.9 76.8 2.1 59.3
6 Kirchheim Knights Kirchheim Knights 60.0 30 18 12 2505 2503 83.5 83.4 0.1 50.3
7 Niners Chemnitz Niners Chemnitz 50.0 30 15 15 2518 2522 83.9 84.1 -0.2 49.4
8 FC Bayern Munich FC Bayern Munich 46.7 30 14 16 2450 2502 81.7 83.4 -1.7 42.7
9 Saar-Pfalz Braves Saar-Pfalz Braves 43.3 30 13 17 2430 2456 81.0 81.9 -0.9 46.3
10 Bremen Roosters Bremen Roosters 40.0 30 12 18 2232 2353 74.4 78.4 -4.0 32.4
11 MLP Academics Heidelberg MLP Academics Heidelberg 40.0 30 12 18 2577 2745 85.9 91.5 -5.6 29.3
12 Cuxhaven BasCats Cuxhaven BasCats 36.7 30 11 19 2422 2519 80.7 84.0 -3.3 36.7
13 ETB Wohnbau ETB Wohnbau 33.3 30 10 20 2331 2396 77.7 79.9 -2.2 40.6
14 TV 1862 Langen TV 1862 Langen 33.3 30 10 20 2336 2493 77.9 83.1 -5.2 28.8
15 FC Schalke 04 FC Schalke 04 23.3 30 7 23 2373 2553 79.1 85.1 -6.0 26.6
16 Licher BasketBaeren Licher BasketBaeren 23.3 30 7 23 2205 2655 73.5 88.5 -15.0 7.0

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.