COMPARISON ENGINE


Shortcut! Compare All Rookies


Season POS Min WP48 PoP48 Wins PTS DRB ORB REB AST TO BLK STL PF
Beasley 08-09 PF 2009 .063 -1.1 2.6 26.8 7.9 2.6 10.5 2.0 2.9 0.9 1.0 4.4
Beasley 09-10 PF 2328 .080 -0.6 3.9 23.8 7.7 2.5 10.3 2.1 2.7 1.0 1.6 4.6
Beasley 10-11 SF 2365 -.100 -6.2 -4.9 28.4 5.9 2.4 8.3 3.2 4.0 1.1 1.1 4.5
Beasley 11-12 SF 1087 -.014 -3.5 -0.3 23.9 7.4 1.7 9.1 2.0 3.5 0.8 0.8 3.7
Beasley 12-13 SF 1554 -.113 -6.6 -3.6 23.4 7.1 1.6 8.7 3.4 4.4 1.1 1.0 3.3
Mayo 08-09 SG 3120 .046 -1.6 3.0 23.3 3.9 0.9 4.7 4.0 3.5 0.2 1.4 3.1
Mayo 09-10 SG 3113 .094 -0.1 6.1 22.1 3.9 0.9 4.8 3.7 2.7 0.3 1.5 2.7
Mayo 10-11 SG 1869 .039 -1.9 1.5 20.6 3.5 0.9 4.4 3.7 2.5 0.7 1.9 3.2
Mayo 11-12 SG 1771 .072 -0.8 2.7 22.6 4.9 0.8 5.7 4.6 3.4 0.6 1.9 3.7
Mayo 12-13 SG 2913 .094 -0.2 5.7 20.7 4.2 0.6 4.8 5.9 3.4 0.4 1.5 3.2
Average PF(2000 - 2013) PF 1547 .099 0.0 3.2 20.0 7.9 3.4 11.3 2.8 2.6 1.2 1.3 4.7
Average SF(2000 - 2013) SF 1737 .099 0.0 3.6 20.3 5.7 1.9 7.6 3.5 2.6 0.8 1.6 3.8
Average SG(2000 - 2013) SG 1715 .099 0.0 3.5 21.5 4.4 1.2 5.6 4.6 2.7 0.5 1.6 3.4
  FG% 2FG% 3FG% FT% eFG% TS% FGA 3FGA PPS FTA
Beasley 08-09 47.2% 47.8% 40.7% 77.2% 49.0% 52.8% 22.9 1.9 1.17 5.8
Beasley 09-10 45.0% 46.9% 27.5% 80.0% 46.3% 50.5% 21.4 2.1 1.11 4.9
Beasley 10-11 45.0% 46.3% 36.6% 75.3% 47.4% 51.0% 25.3 3.3 1.12 5.9
Beasley 11-12 44.5% 46.2% 37.6% 64.2% 48.3% 50.2% 21.9 4.5 1.09 4.2
Beasley 12-13 40.5% 42.6% 31.2% 74.6% 43.4% 46.2% 23.7 4.4 0.99 3.9
Mayo 08-09 43.8% 46.1% 38.4% 87.9% 49.5% 53.9% 19.7 5.8 1.18 4.3
Mayo 09-10 45.8% 49.0% 38.3% 80.9% 51.6% 55.1% 18.2 5.5 1.21 4.0
Mayo 10-11 40.7% 43.1% 36.4% 75.6% 47.1% 49.9% 19.2 6.8 1.07 3.4
Mayo 11-12 40.8% 43.4% 36.4% 77.3% 47.6% 51.3% 19.9 7.5 1.13 4.7
Mayo 12-13 44.9% 47.1% 40.7% 82.0% 51.9% 55.6% 16.9 5.8 1.22 3.8
Average PF 47.0% 48.8% 34.7% 73.5% 49.2% 53.4% 16.4 2.0 1.22 5.2
Average SF 44.7% 47.7% 36.1% 78.1% 49.4% 54.0% 16.6 4.3 1.22 5.0
Average SG 43.4% 46.5% 36.5% 80.4% 49.0% 53.6% 17.9 5.5 1.20 4.9

*only players with at least 300 minutes are used to calculate averages, and some averages might look odd until the sample sizes get big enough due to rounding effects.