Italy - LBA Serie A
Standings
Italy - LBA Serie A basketball (ITA-1)
Standings for 2004-2005 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
|
82.4 | 34 | 28 | 6 | 2836 | 2457 | 83.4 | 72.3 | 11.1 | 88.0 |
2 |
|
73.5 | 34 | 25 | 9 | 2875 | 2593 | 84.6 | 76.3 | 8.3 | 80.8 |
3 |
|
73.5 | 34 | 25 | 9 | 2897 | 2619 | 85.2 | 77.0 | 8.2 | 80.3 |
4 |
|
70.6 | 34 | 24 | 10 | 2680 | 2486 | 78.8 | 73.1 | 5.7 | 74.0 |
5 |
|
64.7 | 34 | 22 | 12 | 2911 | 2745 | 85.6 | 80.7 | 4.9 | 69.4 |
6 |
|
52.9 | 34 | 18 | 16 | 2761 | 2728 | 81.2 | 80.2 | 1.0 | 54.2 |
7 |
|
47.1 | 34 | 16 | 18 | 2885 | 2943 | 84.9 | 86.6 | -1.7 | 43.1 |
8 |
|
47.1 | 34 | 16 | 18 | 2692 | 2844 | 79.2 | 83.6 | -4.4 | 31.8 |
9 |
|
44.1 | 34 | 15 | 19 | 2709 | 2753 | 79.7 | 81.0 | -1.3 | 44.4 |
10 |
|
44.1 | 34 | 15 | 19 | 2758 | 2805 | 81.1 | 82.5 | -1.4 | 44.2 |
11 |
|
41.2 | 34 | 14 | 20 | 2815 | 2893 | 82.8 | 85.1 | -2.3 | 40.6 |
12 |
|
41.2 | 34 | 14 | 20 | 2737 | 2995 | 80.5 | 88.1 | -7.6 | 22.2 |
13 |
|
38.2 | 34 | 13 | 21 | 2657 | 2576 | 78.1 | 75.8 | 2.3 | 60.6 |
14 |
|
38.2 | 34 | 13 | 21 | 2736 | 2891 | 80.5 | 85.0 | -4.5 | 31.7 |
15 |
|
38.2 | 34 | 13 | 21 | 2675 | 2834 | 78.7 | 83.4 | -4.7 | 30.9 |
16 |
|
35.3 | 34 | 12 | 22 | 2747 | 2831 | 80.8 | 83.3 | -2.5 | 39.7 |
17 |
|
35.3 | 34 | 12 | 22 | 2720 | 2950 | 80.0 | 86.8 | -6.8 | 24.4 |
18 |
|
32.4 | 34 | 11 | 23 | 2751 | 2899 | 80.9 | 85.3 | -4.4 | 32.5 |
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.