Italy - Serie A2 Play-Offs
Standings
Italy - Serie A2 Play-Offs basketball (ITA-2)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
|
100.0 | 2 | 2 | 0 | 180 | 177 | 90.0 | 88.5 | 1.5 | 55.8 |
2 |
|
80.0 | 15 | 12 | 3 | 1197 | 1003 | 79.8 | 66.9 | 12.9 | 92.1 |
3 |
|
75.0 | 12 | 9 | 3 | 1013 | 944 | 84.4 | 78.7 | 5.7 | 72.7 |
4 |
|
55.6 | 9 | 5 | 4 | 663 | 661 | 73.7 | 73.4 | 0.3 | 51.1 |
5 |
|
50.0 | 14 | 7 | 7 | 1019 | 1036 | 72.8 | 74.0 | -1.2 | 44.3 |
6 |
|
50.0 | 12 | 6 | 6 | 910 | 952 | 75.8 | 79.3 | -3.5 | 34.8 |
7 |
|
44.4 | 9 | 4 | 5 | 650 | 646 | 72.2 | 71.8 | 0.4 | 52.1 |
8 |
|
42.9 | 7 | 3 | 4 | 511 | 529 | 73.0 | 75.6 | -2.6 | 38.2 |
9 |
|
40.0 | 5 | 2 | 3 | 404 | 403 | 80.8 | 80.6 | 0.2 | 50.9 |
10 |
|
40.0 | 5 | 2 | 3 | 372 | 373 | 74.4 | 74.6 | -0.2 | 49.1 |
11 |
|
40.0 | 5 | 2 | 3 | 374 | 383 | 74.8 | 76.6 | -1.8 | 41.8 |
12 |
|
40.0 | 5 | 2 | 3 | 376 | 390 | 75.2 | 78.0 | -2.8 | 37.6 |
13 |
|
40.0 | 5 | 2 | 3 | 362 | 418 | 72.4 | 83.6 | -11.2 | 11.9 |
14 |
|
37.5 | 8 | 3 | 5 | 572 | 615 | 71.5 | 76.9 | -5.4 | 26.7 |
15 |
|
25.0 | 4 | 1 | 3 | 281 | 291 | 70.3 | 72.8 | -2.5 | 38.1 |
16 |
|
25.0 | 4 | 1 | 3 | 276 | 288 | 69.0 | 72.0 | -3.0 | 35.6 |
17 |
|
0.0 | 2 | 0 | 2 | 177 | 180 | 88.5 | 90.0 | -1.5 | 44.2 |
18 |
|
0.0 | 3 | 0 | 3 | 238 | 286 | 79.3 | 95.3 | -16.0 | 7.2 |
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.