Italy - Serie A2
Standings
Italy - Serie A2 basketball (ITA-2)
Standings for 2003-2004 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | UNAHOTELS Reggio Emilia | 78.1 | 32 | 25 | 7 | 2619 | 2364 | 81.8 | 73.9 | 7.9 | 80.6 |
2 | General Contractor Jesi | 68.8 | 32 | 22 | 10 | 2666 | 2454 | 83.3 | 76.7 | 6.6 | 76.0 |
3 | Kleb Basket Ferrara | 68.8 | 32 | 22 | 10 | 2612 | 2585 | 81.6 | 80.8 | 0.8 | 53.6 |
4 | Virtus Segafredo Bologna | 59.4 | 32 | 19 | 13 | 2703 | 2513 | 84.5 | 78.5 | 6.0 | 73.4 |
5 | ASD Pavia | 59.4 | 32 | 19 | 13 | 2848 | 2815 | 89.0 | 88.0 | 1.0 | 54.0 |
6 | Gema Montecatini | 59.4 | 32 | 19 | 13 | 2797 | 2773 | 87.4 | 86.7 | 0.7 | 53.0 |
7 | NTS Informatica Rimini | 53.1 | 32 | 17 | 15 | 2654 | 2624 | 82.9 | 82.0 | 0.9 | 53.9 |
8 | Givova Scafati | 46.9 | 32 | 15 | 17 | 2678 | 2652 | 83.7 | 82.9 | 0.8 | 53.4 |
9 | Ristopro Fabriano | 40.6 | 32 | 13 | 19 | 2681 | 2815 | 83.8 | 88.0 | -4.2 | 33.7 |
10 | Banco di Sardegna Sassari | 37.5 | 32 | 12 | 20 | 2575 | 2630 | 80.5 | 82.2 | -1.7 | 42.7 |
11 | Osimo | 34.4 | 32 | 11 | 21 | 2770 | 2847 | 86.6 | 89.0 | -2.4 | 40.6 |
12 | Ignis Novara | 34.4 | 32 | 11 | 21 | 2618 | 2858 | 81.8 | 89.3 | -7.5 | 22.8 |
13 | Andrea Costa Imola | 31.3 | 32 | 10 | 22 | 2505 | 2614 | 78.3 | 81.7 | -3.4 | 35.6 |
14 | Virtus Ragusa | 28.1 | 32 | 9 | 23 | 2548 | 2730 | 79.6 | 85.3 | -5.7 | 27.7 |
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.