FIBA AmeriCup Qualifiers
Standings
FIBA AmeriCup Qualifiers basketball (AME-QR)
Standings for 2023-2024 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brazil | 100.0 | 2 | 2 | 0 | 216 | 96 | 108.0 | 48.0 | 60.0 | 100.0 |
2 | Canada | 100.0 | 2 | 2 | 0 | 184 | 97 | 92.0 | 48.5 | 43.5 | 100.0 |
3 | Uruguay (M) | 100.0 | 2 | 2 | 0 | 176 | 133 | 88.0 | 66.5 | 21.5 | 98.0 |
4 | Venezuela | 50.0 | 2 | 1 | 1 | 143 | 127 | 71.5 | 63.5 | 8.0 | 83.9 |
5 | Argentina | 50.0 | 2 | 1 | 1 | 167 | 157 | 83.5 | 78.5 | 5.0 | 70.2 |
6 | Puerto Rico | 50.0 | 2 | 1 | 1 | 163 | 155 | 81.5 | 77.5 | 4.0 | 66.8 |
7 | Dominican Republic | 50.0 | 2 | 1 | 1 | 157 | 150 | 78.5 | 75.0 | 3.5 | 65.3 |
8 | USA | 50.0 | 2 | 1 | 1 | 167 | 160 | 83.5 | 80.0 | 3.5 | 64.5 |
9 | Cuba | 50.0 | 2 | 1 | 1 | 160 | 167 | 80.0 | 83.5 | -3.5 | 35.5 |
10 | Mexico | 50.0 | 2 | 1 | 1 | 150 | 157 | 75.0 | 78.5 | -3.5 | 34.7 |
11 | Bahamas | 50.0 | 2 | 1 | 1 | 155 | 163 | 77.5 | 81.5 | -4.0 | 33.2 |
12 | Chile (M) | 50.0 | 2 | 1 | 1 | 157 | 167 | 78.5 | 83.5 | -5.0 | 29.8 |
13 | Colombia (M) | 50.0 | 2 | 1 | 1 | 127 | 143 | 63.5 | 71.5 | -8.0 | 16.1 |
14 | Panama | 0.0 | 2 | 0 | 2 | 133 | 176 | 66.5 | 88.0 | -21.5 | 2.0 |
15 | Nicaragua | 0.0 | 2 | 0 | 2 | 97 | 184 | 48.5 | 92.0 | -43.5 | 0.0 |
16 | Paraguay | 0.0 | 2 | 0 | 2 | 96 | 216 | 48.0 | 108.0 | -60.0 | 0.0 |
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.