ÎÞÓǶÌÊÓƵ

ÎÞÓǶÌÊÓƵ New England Sectional

Date: Saturday, February 8, 2014
Host: Massachusetts Institute of Technology (Cambridge, MA)
Scoring Rules: ÎÞÓǶÌÊÓƵ

Players are ranked by their PP20TUH (points per 20 tossups heard). Ties are broken by their power percentage (P%).

Division I: SCT-14

# Player Year Team GP TUH P TU I P% PP20TUH
1 Matthew JacksonSr.Yale A 12 282 47 71 8 39.8% 97.52
2 Nick JensenJr.Dartmouth A 12 274 30 36 21 45.5% 51.46
3 Lloyd SySo.Brown A 12 271 16 44 7 26.7% 47.60
4 Sam SpauldingGrad.MIT A 12 263 10 49 11 16.9% 44.49
5 Will AlstonSo.Dartmouth A 12 274 17 41 15 29.3% 43.07
6 Douglas YetmanSr.UMass 12 274 21 48 42 30.4% 42.70
7 Alex Kling?Williams 12 266 12 47 20 20.3% 41.35
8 Justin ByrdGrad.Brown A 12 271 17 25 8 40.5% 34.32
9 Rafael Krichevsky?Columbia A 12 276 15 27 10 35.7% 32.25
10 Aidan Mehigan?Columbia A 12 276 15 25 13 37.5% 29.71
11 Alex Gerten?Columbia A 12 276 14 21 8 40.0% 27.54
12 Ashvin SrivatsaSr.Yale A 12 282 17 14 8 54.8% 25.18
13 Jacob ReedFr.Yale A 12 282 12 18 6 40.0% 23.40
14 Grace LiuSo.Yale A 12 282 9 13 3 40.9% 17.73
15 Cory Smith?MIT A 12 263 6 13 0 31.6% 16.73
16 Samuel Donow?Williams 12 266 6 14 2 30.0% 16.54
17 Daniel Brach-NeufeldSo.Brown A 12 271 6 15 4 28.6% 16.24
18 Jonathan Xu?Columbia A 12 276 7 13 6 35.0% 14.86
19 Abid HaseebSo.Brown A 12 271 4 17 8 19.0% 14.02
20 Max TimmonsSo.MIT A 12 263 9 5 3 64.3% 12.93
21 Andre KesslerJr.MIT A 12 263 4 7 5 36.4% 7.98
22 Cole Meisenhelder?Williams 12 266 5 5 4 50.0% 7.89
23 Manas SarmaSo.UMass 12 274 1 8 4 11.1% 5.47
24 Douglas LevittJr.UMass 12 274 1 4 0 20.0% 4.01
25 Patrick NealFr.UMass 12 274 2 7 10 22.2% 3.65
26 John Damstra III?Williams 12 266 2 2 3 50.0% 2.63
27 Henry?Dartmouth A 12 274 2 1 3 66.7% 1.82
28 Jennifer Jaco5th-Yr. Sr.Dartmouth A 12 274 1 1 1 50.0% 1.46

Division II: SCT-14DII (shares with SCT-14)

# Player Year Team GP TUH P TU I P% PP20TUH
1 Corry Wang?Amherst B 13 293 34 71 18 32.4% 77.13
2 Vimal KonduriFr.Harvard A 12 289 46 44 10 51.1% 74.74
3 James RowanFr.MIT B 13 300 36 49 5 42.4% 67.00
4 Wilton Rao?Columbia B 12 282 43 40 21 51.8% 66.67
5 Jordan Bekenstein?Amherst A 12 273 22 58 8 27.5% 63.74
6 Robert Chu?Harvard B 12 276 27 52 18 34.2% 60.51
7 Raynor KuangFr.Harvard A 12 289 49 27 33 64.5% 58.13
8 Ethan MarshallSr.Northeastern A 13 301 26 48 8 35.1% 55.15
9 Rohith NagariFr.Brown B 13 307 25 51 24 32.9% 49.84
10 Nicholas WawrykowFr.Yale B 12 264 21 35 23 37.5% 41.67
11 Artur Meller?Harvard B 12 278 17 35 11 32.7% 39.57
12 Saumil BandyopadhyayFr.MIT B 13 300 16 36 3 30.8% 39.00
13 Mitchell WeldonFr.Yale B 12 264 19 25 7 43.2% 37.88
14 Kris BrownSr.Dartmouth B 12 267 9 35 10 20.5% 32.58
15 Laurence LiFr.Yale B 12 286 18 22 13 45.0% 29.72
16 Everett O'MalleyFr.Northeastern B 13 300 5 39 4 11.4% 29.67
17 Brandon NguyenFr.Northeastern A 10 233 10 21 8 32.3% 27.47
18 Shreyas Vissapragada?Columbia B 12 282 12 25 10 32.4% 26.95
19 Alexander CliftonFr.MIT B 13 300 16 14 3 53.3% 24.33
20 William Froehlich?Amherst A 12 273 5 27 6 15.6% 23.08
21 Siddharth HiregowdaraSo.Dartmouth B 9 202 4 17 9 19.0% 18.32
22 Kailee Pedersen?Columbia B 12 282 10 11 3 47.6% 17.38
23 Steven HinesFr.Brown B 13 307 9 15 7 37.5% 16.29
23 Leo CooperFr.Brown B 13 307 7 21 13 25.0% 16.29
25 Sigan ChenFr.Dartmouth B 12 267 5 17 9 22.7% 14.98
26 Alex TafurFr.Yale B 12 189 6 7 4 46.2% 14.81
27 Tom HoangFr.Northeastern B 12 276 1 18 1 5.3% 13.77
28 Prescott AngleSo.Northeastern A 9 206 2 9 0 18.2% 11.65
29 Yanzhen Lu?Amherst B 13 293 1 16 3 5.9% 10.92
30 Robbie RegaSo.Northeastern A 10 231 0 13 1 0.0% 10.82
31 Abhinav Goyal?Columbia B 12 282 3 10 3 23.1% 9.22
32 Nicholas Larus-Stone?Harvard A 12 289 1 12 2 7.7% 8.65
33 Chase KelleySo.Northeastern A 10 233 2 6 0 25.0% 7.73
34 Dan LeichusSo.Harvard B 13 300 2 10 5 16.7% 7.00
35 Denise YoonFr.Brown B 13 307 3 5 1 37.5% 5.86
36 Robert YeeFr.Northeastern B 11 258 2 4 2 33.3% 4.65
37 Olivia BonhommeFr.Northeastern B 11 253 0 5 0 0.0% 3.95
38 Sehej AnandFr.Northeastern B 5 113 0 1 0 0.0% 1.77
39 Benjamin TongFr.Yale B 10 141 1 1 3 50.0% 1.42

Explanation of Statistics

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

Read