ÎÞÓǶÌÊÓƵ

ÎÞÓǶÌÊÓƵ New England Sectional

Date: Saturday, February 6, 2016
Host: Brown University (Providence, RI)
Scoring Rules: ÎÞÓǶÌÊÓƵ

Players are ranked by their PP20TUH (points per 20 tossups heard) in the preliminary rounds of the tournament. Ties are broken by their power percentage (P%).

Division I: SCT-16

# Player Year Team GP TUH P TU I P% PP20TUH
1 Will AlstonSr.Dartmouth 9 208 27 50 10 35.1% 82.21
2 Neil GurramGrad.MIT A 9 187 20 46 10 30.3% 75.94
3 Rafael KrichevskyGrad.Columbia A 9 189 15 29 7 34.1% 50.79
4 Charles Jesse DeesJr.Columbia B 9 207 15 33 8 31.2% 49.76
5 Robert ChuJr.Harvard A 9 197 15 29 8 34.1% 48.22
6 Ben ZhangSo.Columbia B 9 207 18 24 16 42.9% 41.55
7 Jacob ReedJr.Yale A 9 206 16 22 11 42.1% 39.32
8 Kevin WangFr.Amherst A 9 195 16 22 18 42.1% 37.95
9 Isaac Kirk-DavidoffSo.Yale A 9 206 17 20 13 45.9% 37.86
10 Corry WangJr.Amherst A 9 195 16 12 3 57.1% 35.38
10 Alec VulfsonJr.NYU A 9 195 8 31 17 20.5% 35.38
12 Mark ArildsenSr.Harvard A 9 197 18 8 2 69.2% 34.52
13 Julian FuchsSo.MIT B 9 186 6 25 5 19.4% 33.87
14 Wilton RaoJr.Columbia C 9 194 9 20 2 31.0% 33.51
15 Aidan MehiganSr.Columbia B 9 207 10 23 8 30.3% 32.85
16 Stephen EltingeGrad.Yale A 9 206 14 14 5 50.0% 31.55
17 Raynor KuangJr.Harvard A 9 197 13 18 14 41.9% 30.96
18 Alex GertenGrad.Columbia A 9 189 10 13 5 43.5% 26.98
19 Saul HankinGrad.Columbia C 9 194 6 19 5 24.0% 26.29
20 Boyang JiaoSo.Amherst A 9 195 10 14 13 41.7% 23.08
21 Oliver RenSo.MIT B 9 186 5 14 4 26.3% 20.97
22 Harrison HsuGrad.Columbia A 9 189 4 14 2 22.2% 20.11
23 Anderson WangSr.MIT A 9 187 6 9 1 40.0% 18.72
24 Saumil BandyopadhyayJr.MIT A 9 187 5 9 1 35.7% 17.11
25 Laurence Li?Yale A 9 206 9 5 2 64.3% 16.99
26 Bryce HwangSo.MIT B 9 186 3 16 11 15.8% 16.13
27 Cory SmithSr.MIT A 9 187 6 7 2 46.2% 16.04
28 Artyom KushnaryovJr.NYU A 9 195 7 7 5 50.0% 15.38
29 Kailee PedersenJr.Columbia C 9 194 4 8 1 33.3% 13.92
30 Shreyas VissapragadaJr.Columbia C 9 194 1 9 2 10.0% 9.79
31 Victor BorzaSo.Dartmouth 9 208 3 7 5 30.0% 8.65
32 Michael FefferSo.MIT B 9 186 1 5 3 16.7% 5.38
33 Indranil MitraJr.NYU A 9 195 0 1 0 0.0% 1.03

Division II: SCT-16DII (shares with SCT-16)

# Player Year Team GP TUH P TU I P% PP20TUH
1 Adam FineFr.Yale B 9 187 24 32 7 42.9% 68.98
2 Kevin LiFr.MIT C 9 194 12 30 4 28.6% 47.42
3 John Marvin SippSo.Boston College 9 177 17 31 30 35.4% 46.89
4 Kieren WeisertSo.Columbia D 9 193 20 19 8 51.3% 46.63
5 Max KrawczykFr.Columbia E 9 196 16 27 11 37.2% 46.43
6 Cathy XueFr.Yale B 9 187 13 22 5 37.1% 41.71
7 Jiho ParkSo.Harvard B 9 202 19 16 5 54.3% 41.58
8 Erik OwenSo.Harvard B 9 202 20 13 6 60.6% 39.60
8 Roger JinSo.Harvard B 9 202 17 23 17 42.5% 39.60
10 Erica LiuFr.MIT C 9 194 17 13 2 56.7% 38.66
11 Arnav SoodSo.NYU B 9 184 9 24 9 27.3% 35.87
12 Rahul Rao-PothurajuFr.NYU B 9 184 3 29 3 9.4% 34.78
13 Clare KeenanFr.MIT C 9 194 14 11 1 56.0% 32.47
14 Andy Tang?Amherst B 9 184 7 23 8 23.3% 32.07
15 Emily SunFr.Columbia D 9 193 14 9 4 60.9% 29.02
15 Waleed AliFr.Columbia D 9 193 9 18 7 33.3% 29.02
17 Josh XiongFr.MIT C 9 194 8 16 1 33.3% 28.35
18 Yi WangFr.Columbia E 9 196 7 16 3 30.4% 25.51
19 Benjamin WatsonSo.UConn 9 139 6 13 10 31.6% 24.46
20 Moses Mwesigwa KitakuleFr.Yale B 9 187 8 12 3 40.0% 24.06
21 Harrison HallFr.UConn 9 164 6 11 1 35.3% 23.78
22 Max Paul?Amherst B 9 184 6 13 1 31.6% 23.37
23 Rohan NaiduFr.Yale C 9 199 3 19 5 13.6% 21.11
24 Charlie CahowFr.Boston College 9 177 4 13 3 23.5% 19.77
25 Oriana TangFr.Yale C 9 199 4 13 2 23.5% 18.09
26 Josh Hernandez?Amherst B 9 184 5 10 4 33.3% 16.85
27 Ron LaMonicaFr.UConn 9 155 1 15 7 6.2% 16.77
28 Jeff XieFr.Columbia E 9 196 3 13 4 18.8% 15.82
29 Avik LahaFr.Columbia D 9 193 4 13 8 23.5% 15.54
30 Allen ChangFr.Yale C 9 199 2 13 3 13.3% 14.57
31 Huzefa DiwanSo.Columbia E 9 196 5 6 1 45.5% 13.27
32 Sasha DaichFr.NYU B 9 184 3 5 1 37.5% 9.78
33 Olivia NobleFr.Yale B 9 187 3 5 1 37.5% 9.63
34 Harry HoyFr.Boston College 9 177 3 3 1 50.0% 7.91
35 Prayush SinghJr.UConn 9 165 3 4 4 42.9% 7.88
36 Isabel Miller?Amherst B 9 184 0 4 4 0.0% 2.17
37 Sam LiFr.UConn 9 109 0 1 2 0.0% 0.00
37 Margaret ArabpourFr.NYU B 9 184 0 0 0 0.0% 0.00

Explanation of Statistics

Confused about all these statistics? We’ve prepared an overview.

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