Bardbowl II

Date: Saturday, January 5, 2019
Host: Bard High School Early College Manhattan (New York, NY)
Scoring Rules: NAQT
Packet Set: IS-181

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

# Player Team GP TUH P TU I P% PP20TUH
1 Ethan ZhangMillburn B 4 80 11 33 3 25.0% 120.00
2 Pedro Juan OrduzHunter B 5 90 19 21 2 47.5% 107.78
3 Cooper RohHotchkiss 9 180 34 50 11 40.5% 106.11
4 Dean Ah NowMillburn A 8 150 40 17 2 70.2% 101.33
5 Alexander KoutsoukosWilton 10 200 35 51 5 40.7% 101.00
6 Daniel MaHunter A 9 180 36 38 13 48.6% 95.00
7 Jonathan AckermanLivingston 10 200 33 39 21 45.8% 78.00
8 Jacob EgolRanney 10 200 22 51 19 30.1% 74.50
9 Frank GrabowskiHigh Tech C 10 200 11 56 5 16.4% 70.00
10 David WendtIsland Trees 9 180 26 25 6 51.0% 67.78
11 Noah SheidlowerGreat Neck South A 5 100 15 14 8 51.7% 65.00
12 Benjamin ChapmanHunter D 10 200 22 40 17 35.5% 64.50
13 Steven LiuHigh Tech A 10 200 29 22 8 56.9% 61.50
14 Benjamin AvrahamiStuyvesant 10 200 9 51 9 15.0% 60.00
15 Caleb ShiBergen Academies 9 180 8 41 3 16.3% 57.22
16 Matt D'AnnunzioFriends Select 8 160 15 25 4 37.5% 56.88
17 Nicholas ZhangBergen Tech-Teterboro 9 180 13 37 11 26.0% 56.67
18 Jimena Sarapura-PhippsDarien B 10 200 18 28 4 39.1% 53.00
19 Brandon HuangGreat Neck South B 10 200 14 40 24 25.9% 49.00
20 Ian LuHunter C 10 200 13 30 2 30.2% 48.50
20 Ankit SayedClarke 10 200 10 38 9 20.8% 48.50
22 Avi MehtaDalton School 10 200 14 31 8 31.1% 48.00
23 Nicholas WuHunter F 7 140 6 25 2 19.4% 47.14
24 Alexander DelVecchioDarien A 10 200 14 30 9 31.8% 46.50
25 Jacob Hardin-BernhardtHunter C 10 200 15 25 6 37.5% 44.50
25 Adrian ThamburajHigh Tech B 10 200 13 30 10 30.2% 44.50
27 Ella LeedsHunter E 9 180 0 38 0 0.0% 42.22
28 Evan TongDarien A 10 200 14 22 2 38.9% 42.00
29 Cole SnedekerHigh Tech B 10 200 21 13 7 61.8% 41.00
30 Carolyn MengLivingston 10 200 19 17 15 52.8% 38.00
31 Andersen GuGreat Neck South A 10 200 12 23 7 34.3% 37.50
31 Silas MohrFriends Select 8 160 9 18 3 33.3% 37.50
31 Kiran EbrahimiDarien C 10 200 9 29 10 23.7% 37.50
34 Benjamin PilosovBronx Science A 9 180 6 28 9 17.6% 36.11
35 Darren PetrosinoHigh Tech A 10 200 12 20 4 37.5% 36.00
36 Michael BeckerHunter D 10 200 11 21 6 34.4% 34.50
37 Lucas Spitz-ChapmanTenafly B 9 180 11 18 7 37.9% 34.44
38 Tycho von RosenvingeDalton School 10 200 12 16 1 42.9% 33.50
38 Arjun PanicksseryClarke 10 200 12 20 9 37.5% 33.50
38 Benjamin HuMillburn A 10 200 9 21 2 30.0% 33.50
41 Andrew HauTenafly A 10 200 12 19 8 38.7% 33.00
42 Evan O'RourkeDarien C 10 200 11 20 8 35.5% 32.50
43 Iman OnbargiDarien B 10 190 12 17 11 41.4% 31.05
44 Jerry FengTenafly A 9 170 9 14 3 39.1% 30.59
45 Deepak GopalakrishnanHigh Tech A 10 200 14 15 11 48.3% 30.50
46 Philip BelinHunter B 7 140 6 14 4 30.0% 30.00
47 John SanchezMillburn A 10 200 10 14 1 41.7% 28.50
48 Thomas ZamrozIsland Trees 4 80 2 8 0 20.0% 27.50
49 Ryan LeungBergen Academies 9 180 6 16 1 27.3% 27.22
50 Nten NyiamStuyvesant 10 200 5 20 1 20.0% 27.00
51 Daniel ShneiderHunter F 10 190 3 24 6 11.1% 26.84
52 Maya NalawadeDarien A 10 200 5 19 1 20.8% 26.00
53 Bianca DworkHunter B 10 200 8 13 0 38.1% 25.00
54 Alex SlusarevTenafly A 9 170 8 13 8 38.1% 24.71
55 Griffin SamroengrajaDarien C 10 200 9 14 6 39.1% 24.50
56 Eric ZhengHigh Tech B 10 200 12 8 4 60.0% 24.00
57 Ivy WangHigh Tech B 10 200 8 12 1 40.0% 23.50
58 Cerulean OzarowHunter A 9 180 14 2 4 87.5% 23.33
58 Chad YangTenafly B 9 150 2 19 9 9.5% 23.33
60 Juno LeeTenafly A 10 190 5 14 2 26.3% 21.58
61 Joel MathewClarke 10 200 3 17 0 15.0% 21.50
61 Nivedha SrinivasanMarlboro 10 200 1 20 0 4.8% 21.50
63 Jaehyun KimGreat Neck South A 10 150 7 6 1 53.8% 21.33
64 Shmuel PadwaBronx Science A 9 180 7 9 2 43.8% 20.56
65 Lukas KoutsoukosWilton 10 200 5 13 0 27.8% 20.50
66 Asher JaffeHunter A 9 180 7 11 7 38.9% 20.00
66 Marcus LlorenteIsland Trees 9 180 5 11 1 31.2% 20.00
68 Riya KrishnanDarien A 10 200 6 12 3 33.3% 19.50
69 Sam KellerNorth Babylon A 10 160 2 13 1 13.3% 19.38
70 Daniel LuGreat Neck South A 10 200 5 12 1 29.4% 19.00
71 Aruna DasHunter F 10 200 4 16 8 20.0% 18.00
72 Eric SulewskiBronx Science A 9 180 4 13 6 23.5% 17.78
72 Arsha UthairungsriBronx Science B 9 180 3 14 5 17.6% 17.78
74 Michael LiHigh Tech A 10 200 11 5 8 68.8% 17.50
74 Raphael MengMarlboro 10 200 2 16 3 11.1% 17.50
76 Elpida ManolasNorth Babylon A 10 200 2 17 6 10.5% 17.00
77 Aidan PulliamFriends Select 8 160 3 9 0 25.0% 16.88
78 Olivia KennedyNorth Babylon A 10 150 1 11 0 8.3% 16.67
79 Seth MarxRanney 10 200 6 8 1 42.9% 16.50
80 Spiros ManolasNorth Babylon A 10 140 2 8 0 20.0% 15.71
80 Grace HandDarien B 10 140 1 12 5 7.7% 15.71
82 Rosa XiaLivingston 10 200 9 2 0 81.8% 15.50
83 Rachel YangHunter A 9 180 6 5 1 54.5% 15.00
84 Milo StoneMillburn B 9 170 0 14 4 0.0% 14.12
85 York NiuHunter C 10 200 8 5 6 61.5% 14.00
86 Eric CaoHunter B 10 190 5 7 3 41.7% 13.68
87 Max BrodskyHigh Tech C 10 200 3 10 2 23.1% 13.50
88 Raymond ZhangBergen Tech-Teterboro 9 180 6 5 4 54.5% 13.33
88 Calvin ChenTenafly B 9 180 5 8 7 38.5% 13.33
90 Amanda LiHunter E 9 180 2 9 1 18.2% 12.78
90 Thomas BruggemannNorth Babylon C 9 180 1 10 0 9.1% 12.78
92 Matthew MoyGreat Neck South B 6 120 3 4 2 42.9% 12.50
92 Ariel SteinMillburn A 4 80 2 3 2 40.0% 12.50
94 Derek SunMillburn B 8 150 3 6 3 33.3% 12.00
95 Jonah TarantaFriends Select 8 160 1 9 2 10.0% 11.88
96 Gabrielle Jean Jean-BaptisteNorth Babylon B 9 130 0 9 3 0.0% 11.54
97 Lev StamblerTenafly B 5 70 0 6 4 0.0% 11.43
98 Charlie BakerMillburn A 9 170 3 6 2 33.3% 11.18
99 Moxie StromHunter C 10 200 5 4 1 55.6% 11.00
100 Nathaniel TingDalton School 7 140 3 3 0 50.0% 10.71
101 Brian ZhangMillburn B 8 160 2 7 3 22.2% 10.62
102 Alexander WangBergen Tech-Teterboro 9 180 4 7 7 36.4% 10.56
103 Benjamin GallaiStuyvesant 10 200 3 8 4 27.3% 10.50
104 Eric GuoMillburn B 9 160 3 5 3 37.5% 10.00
104 Lakeyah JacksonNorth Babylon B 9 180 1 8 1 11.1% 10.00
106 Shashwat TewariHigh Tech C 10 200 3 6 2 33.3% 9.50
107 Antonios ManolasNorth Babylon C 7 110 1 4 1 20.0% 9.09
108 Nidish SharmaMarlboro 10 200 0 9 0 0.0% 9.00
109 Nick LiuDarien B 10 190 3 6 4 33.3% 8.95
110 Rohit AgarwalBergen Tech-Teterboro 9 180 5 5 9 50.0% 8.89
111 Maryyam JefferyNorth Babylon B 8 140 0 7 2 0.0% 8.57
111 Aaron GordonTenafly A 5 70 0 4 2 0.0% 8.57
113 Catherine BradsherHunter D 10 200 5 2 2 71.4% 8.50
114 Priya SinghNorth Babylon A 10 150 1 5 1 16.7% 8.00
115 Christopher KimHunter E 9 180 1 5 1 16.7% 6.67
115 William WuBronx Science B 9 180 1 8 7 11.1% 6.67
115 Aditya SahaBronx Science B 9 180 0 8 4 0.0% 6.67
118 Hank JenningsTenafly B 9 140 0 5 1 0.0% 6.43
119 Will ChericoDarien B 8 80 0 3 1 0.0% 6.25
120 Ann DaiHunter F 10 130 2 1 0 66.7% 6.15
121 Maxwell HuangHunter B 10 180 1 4 0 20.0% 6.11
122 Samuel KatzmanGreat Neck South A 10 150 3 2 4 60.0% 6.00
123 Emma PassarielloClarke 10 200 1 4 0 20.0% 5.50
124 Brian ChanHunter E 9 180 2 2 1 50.0% 5.00
125 Evan LiStuyvesant 10 200 2 2 1 50.0% 4.50
126 Jack LengaGreat Neck South B 10 200 1 4 3 20.0% 4.00
127 Emily LuoHigh Tech C 10 200 2 1 1 66.7% 3.50
128 Arhan ChhabraHotchkiss 9 180 0 4 2 0.0% 3.33
129 Dimitris KoliatsisIsland Trees 5 100 0 2 1 0.0% 3.00
130 Louis FoleyNorth Babylon C 9 140 0 2 0 0.0% 2.86
131 Joshua KimIsland Trees 6 120 1 2 4 33.3% 2.50
131 Oliver HustonDalton School 6 120 0 3 3 0.0% 2.50
131 Eren GokturkNorth Babylon C 9 160 0 2 0 0.0% 2.50
134 Nathan NeequayeBronx Science B 9 180 1 4 7 20.0% 2.22
135 Maggie KwanHunter F 10 140 0 2 1 0.0% 2.14
136 Lily EgolRanney 10 200 1 1 1 50.0% 2.00
136 Kayla McFarlaneNorth Babylon B 9 150 0 2 1 0.0% 2.00
138 Yihan DingHotchkiss 9 180 1 0 0 100.0% 1.67
138 Carrie WardBergen Academies 9 180 0 2 1 0.0% 1.67
138 Naomi FosterNorth Babylon B 8 120 0 1 0 0.0% 1.67
141 Allen LuGreat Neck South B 10 200 0 2 2 0.0% 1.00
141 Elizabeth WrightRanney 10 200 0 1 0 0.0% 1.00
141 Jennifer ZhengLivingston 5 100 0 1 1 0.0% 1.00
144 Chloe HoweHunter D 10 200 0 1 1 0.0% 0.50
145 Michael ZielinskiDarien C 10 200 0 0 0 0.0% 0.00
145 Tanisha ShendeBergen Academies 9 180 0 0 0 0.0% 0.00
145 Ryan ElwoodNorth Babylon C 9 130 0 0 0 0.0% 0.00
145 Isabella TangLivingston 5 100 0 0 0 0.0% 0.00
149 Ege OzbekDalton School 7 140 0 2 5 0.0% -0.71

Explanation of Statistics

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