Finland - 1st Division (B)
Standings
Finland - 1st Division (B) basketball (FIN-2)
Standings for 2020-2021 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Aanekosken Huima | 73.1 | 26 | 19 | 7 | 2197 | 2052 | 84.5 | 78.9 | 5.6 | 72.1 |
2 | PuHu Juniorit | 65.4 | 26 | 17 | 9 | 2329 | 2039 | 89.6 | 78.4 | 11.2 | 86.4 |
3 | Forssan Koripojat | 61.5 | 26 | 16 | 10 | 2188 | 2086 | 84.2 | 80.2 | 4.0 | 66.0 |
4 | Lappeenrannan NMKY | 57.7 | 26 | 15 | 11 | 2200 | 2069 | 84.6 | 79.6 | 5.0 | 70.1 |
5 | Kipina Basket | 57.7 | 26 | 15 | 11 | 2294 | 2229 | 88.2 | 85.7 | 2.5 | 59.9 |
6 | Team Pajulahti | 53.9 | 26 | 14 | 12 | 2130 | 2044 | 81.9 | 78.6 | 3.3 | 64.0 |
7 | PeU-Basket | 53.9 | 26 | 14 | 12 | 2072 | 2018 | 79.7 | 77.6 | 2.1 | 59.1 |
8 | Espoo Basket Team | 50.0 | 26 | 13 | 13 | 2060 | 2046 | 79.2 | 78.7 | 0.5 | 52.4 |
9 | Ura Basket II | 46.2 | 26 | 12 | 14 | 2291 | 2324 | 88.1 | 89.4 | -1.3 | 45.0 |
10 | Raholan Pyrkiva | 46.2 | 26 | 12 | 14 | 2122 | 2177 | 81.6 | 83.7 | -2.1 | 41.2 |
11 | Jyvaskylan Weikot | 42.3 | 26 | 11 | 15 | 2073 | 2086 | 79.7 | 80.2 | -0.5 | 47.8 |
12 | Hyvinkaan Ponteva | 34.6 | 26 | 9 | 17 | 2010 | 2321 | 77.3 | 89.3 | -12.0 | 11.9 |
13 | Karkkila | 30.8 | 26 | 8 | 18 | 2098 | 2359 | 80.7 | 90.7 | -10.0 | 16.4 |
14 | Pyrintö Akatemia B | 26.9 | 26 | 7 | 19 | 1947 | 2161 | 74.9 | 83.1 | -8.2 | 19.0 |
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.