LIT at Stony Brook

September 26, 2020

Amherst A


1	Rochester A	W	485	20	4	14	1	20	24.25	18	290	16.11
2	Brandeis C	W	405	55	2	13	3	20	20.25	15	260	17.33
3	MIT A	L	95	510	0	4	3	20	4.75	4	70	17.50
4	Harvard C	L	205	280	2	6	1	20	10.25	8	120	15.00
5	Columbia B	L	135	345	2	4	3	20	6.75	6	80	13.33
6	Cornell B	W	275	145	0	12	1	20	13.75	12	160	13.33
7	Columbia B	L	200	315	1	7	1	20	10.00	8	120	15.00
8	Columbia A	L	170	330	3	4	1	20	8.50	7	90	12.86
9	Bowdoin A	L	95	350	0	5	3	20	4.75	5	60	12.00
10	Brown A	L	90	275	1	4	1	20	4.50	5	40	8.00


Alice Rogers	10	200	3	3	0	0.30	0.30	0.00	0.00	0.00	3%	75	7.50
Enes Kristo	10	200	2	19	11	0.20	1.90	1.10	0.18	1.91	11%	165	16.50
Ethan Fine	10	200	3	13	3	0.30	1.30	0.30	1.00	5.33	8%	160	16.00
Jeffrey Ma	10	200	7	38	4	0.70	3.80	0.40	1.75	11.25	23%	465	46.50

Amherst B


1	Cornell A	L	75	560	1	2	0	20	3.75	3	40	13.33
2	MIT B	L	80	400	1	3	3	20	4.00	4	50	12.50
3	Yale A	L	220	280	2	7	2	20	11.00	9	130	14.44
4	Brandeis D	W	140	80	0	9	0	20	7.00	9	50	5.56
5	NYU C	L	135	155	1	6	2	20	6.75	7	70	10.00
6	NYU C	L	95	165	0	5	1	20	4.75	5	50	10.00
7	Rochester A	W	220	150	1	10	1	20	11.00	11	110	10.00
8	NYU A	L	10	450	0	1	2	20	0.50	1	10	10.00
9	Brandeis B	L	75	240	1	3	0	20	3.75	4	30	7.50
10	MIT D	L	145	190	0	6	3	20	7.25	6	100	16.67


Isaac Bindman	10	200	0	9	3	0.00	0.90	0.30	0.00	3.00	5%	75	7.50
Isaac Streiff	10	200	2	14	5	0.20	1.40	0.50	0.40	3.20	8%	145	14.50
Noah Steciuk	7	140	0	0	0	0.00	0.00	0.00	0.00	0.00	0%	0	0.00
Tian Xia	10	200	5	29	6	0.50	2.90	0.60	0.83	5.67	17%	335	33.50

Belmont A


1	Brandeis E	W	240	90	2	8	2	20	12.00	10	140	14.00
2	MIT C	W	350	65	2	13	1	20	17.50	15	195	13.00
3	NYU A	W	260	255	1	9	3	20	13.00	10	170	17.00
4	Brown A	W	285	230	2	9	1	20	14.25	11	170	15.45
5	Illinois A	L	125	375	1	5	2	20	6.25	6	70	11.67
6	Illinois A	L	160	305	1	6	1	20	8.00	7	90	12.86
7	Brandeis A	L	160	350	2	4	2	20	8.00	6	100	16.67
8	Harvard C	L	95	425	0	5	3	20	4.75	5	60	12.00
9	MIT B	L	85	415	0	4	1	20	4.25	4	50	12.50
10	Wesleyan A	L	175	280	1	7	2	20	8.75	8	100	12.50
11	Illinois B	L	250	270	2	8	2	20	12.50	10	150	15.00


Cindy Gao	11	220	4	11	0	0.36	1.00	0.00	0.00	0.00	7%	170	15.45
Kiril Kueppenbender	10	200	1	8	0	0.10	0.80	0.00	0.00	0.00	5%	95	9.50
Nathan Sheffield	11	220	4	37	12	0.36	3.36	1.09	0.33	3.42	19%	370	33.64
Seiyoung Jang	11	220	5	22	8	0.45	2.00	0.73	0.63	3.38	12%	255	23.18

Bowdoin A


1	Brandeis B	W	300	90	0	13	4	20	15.00	13	190	14.62
2	Illinois B	L	210	270	2	7	2	20	10.50	9	120	13.33
3	Wesleyan A	L	120	370	0	5	2	20	6.00	5	80	16.00
4	Yale B	W	255	115	3	8	2	20	12.75	11	140	12.73
5	Harvard A	L	240	320	2	6	0	20	12.00	8	150	18.75
6	Columbia B	W	215	210	2	8	1	20	10.75	10	110	11.00
7	Columbia A	L	200	280	1	6	1	20	10.00	7	130	18.57
8	Brown A	L	100	365	0	5	2	20	5.00	5	60	12.00
9	Amherst A	W	350	95	0	15	0	20	17.50	15	200	13.33
10	Cornell B	L	145	290	0	6	3	20	7.25	6	100	16.67


Avery Ellis	10	200	1	11	2	0.10	1.10	0.20	0.50	6.00	6%	115	11.50
Eliana Roberts	8	160	2	6	3	0.25	0.75	0.38	0.67	2.67	5%	75	9.38
Justis Dixon	10	200	1	3	2	0.10	0.30	0.20	0.50	2.00	2%	35	3.50
Michael Borecki	10	200	6	59	10	0.60	5.90	1.00	0.60	6.50	33%	630	63.00

Brandeis A


1	Cornell B	W	370	185	3	8	1	20	18.50	11	250	22.73
2	Harvard B	W	320	270	2	8	2	20	16.00	10	220	22.00
3	MIT D	W	465	60	1	15	2	20	23.25	16	310	19.38
4	Columbia A	W	300	290	0	10	0	20	15.00	10	200	20.00
5	NYU B	W	335	195	2	10	3	20	16.75	12	220	18.33
6	MIT B	W	315	285	4	6	1	20	15.75	10	200	20.00
7	Belmont A	W	350	160	2	11	2	20	17.50	13	220	16.92
8	Wesleyan A	W	360	205	3	9	1	20	18.00	12	230	19.17
9	Harvard C	L	190	365	3	4	3	20	9.50	7	120	17.14
10	Illinois A	W	325	255	4	6	1	20	16.25	10	210	21.00
11	Cornell A	W	295	230	3	8	2	20	14.75	11	180	16.36


Eli Issokson	11	220	7	46	10	0.64	4.18	0.91	0.70	5.30	24%	515	46.82
Isaiah Freedman	11	220	0	3	1	0.00	0.27	0.09	0.00	3.00	1%	25	2.27
Joey Kornman	11	220	20	31	5	1.82	2.82	0.45	4.00	10.20	23%	585	53.18
Sam Darmstadt	11	220	0	15	2	0.00	1.36	0.18	0.00	7.50	7%	140	12.73

Brandeis B


1	Bowdoin A	L	90	300	0	4	0	20	4.50	4	50	12.50
2	Harvard A	L	25	600	0	1	1	20	1.25	1	20	20.00
3	Yale B	W	190	130	2	7	0	20	9.50	9	90	10.00
4	Illinois B	L	175	360	0	8	1	20	8.75	8	100	12.50
5	Wesleyan A	L	55	450	0	4	1	20	2.75	4	20	5.00
6	Rochester A	W	235	80	0	13	1	20	11.75	13	110	8.46
7	NYU A	L	75	350	0	4	1	20	3.75	4	40	10.00
8	MIT D	W	220	125	2	7	0	20	11.00	9	120	13.33
9	Amherst B	W	240	75	1	12	1	20	12.00	13	110	8.46
10	NYU C	L	55	210	1	4	2	20	2.75	5	10	2.00


Albert Countryman	10	200	0	4	6	0.00	0.40	0.60	0.00	0.67	2%	10	1.00
Arielle Kolodzinski	10	200	4	36	2	0.40	3.60	0.20	2.00	20.00	20%	410	41.00
Hannah Nekritz	10	200	1	13	0	0.10	1.30	0.00	0.00	0.00	7%	145	14.50
Randy Lawlor	10	200	1	11	0	0.10	1.10	0.00	0.00	0.00	6%	125	12.50

Brandeis C


1	Harvard C	L	35	450	0	2	1	20	1.75	2	20	10.00
2	Amherst A	L	55	405	1	2	2	20	2.75	3	30	10.00
3	Columbia B	L	80	340	0	4	0	20	4.00	4	40	10.00
4	MIT A	L	120	435	0	6	0	20	6.00	6	60	10.00
5	Rochester A	L	115	225	1	5	6	20	5.75	6	80	13.33
6	Yale B	W	150	135	0	8	2	20	7.50	8	80	10.00
7	Brandeis E	W	230	130	0	10	0	20	11.50	10	130	13.00
8	NYU B	W	230	20	1	10	1	20	11.50	11	120	10.91
9	MIT C	L	110	270	1	4	1	20	5.50	5	60	12.00
10	Brandeis D	W	160	100	2	7	2	20	8.00	9	70	7.78


Ellis Zehnder	10	200	1	23	8	0.10	2.30	0.80	0.13	3.00	12%	205	20.50
Jake Amaral	10	200	0	7	1	0.00	0.70	0.10	0.00	7.00	4%	65	6.50
Noah Copperman	10	200	4	17	2	0.40	1.70	0.20	2.00	10.50	11%	220	22.00
Quinn Filler	10	200	1	11	4	0.10	1.10	0.40	0.25	3.00	6%	105	10.50

Brandeis D


1	MIT B	L	15	455	0	1	1	20	0.75	1	10	10.00
2	NYU C	L	95	220	0	5	1	20	4.75	5	50	10.00
3	Cornell A	L	10	520	0	1	0	20	0.50	1	0	0.00
4	Amherst B	L	80	140	0	5	0	20	4.00	5	30	6.00
5	Yale A	L	10	415	0	1	0	20	0.50	1	0	0.00
6	MIT C	L	50	285	0	3	0	20	2.50	3	20	6.67
7	Yale B	L	50	140	0	4	3	20	2.50	4	25	6.25
8	Brandeis E	W	130	80	1	6	1	20	6.50	7	60	8.57
9	NYU B	L	80	210	0	6	0	20	4.00	6	20	3.33
10	Brandeis C	L	100	160	0	7	1	20	5.00	7	35	5.00


Alex Ahn	6	120	0	0	0	0.00	0.00	0.00	0.00	0.00	0%	0	0.00
Alicia Tu	10	200	0	6	1	0.00	0.60	0.10	0.00	6.00	3%	55	5.50
Matt Blanco	10	200	1	9	4	0.10	0.90	0.40	0.25	2.50	5%	85	8.50
Tony Consentino	10	200	0	24	2	0.00	2.40	0.20	0.00	12.00	12%	230	23.00

Brandeis E


1	Belmont A	L	90	240	0	5	0	20	4.50	5	40	8.00
2	Brown A	L	50	455	0	3	0	20	2.50	3	20	6.67
3	Illinois A	L	95	330	1	5	1	20	4.75	6	35	5.83
4	NYU A	L	30	350	1	2	1	20	1.50	3	0	0.00
5	MIT C	L	130	145	0	8	0	20	6.50	8	50	6.25
6	NYU B	L	90	130	0	6	0	20	4.50	6	30	5.00
7	Brandeis C	L	130	230	0	7	0	20	6.50	7	60	8.57
8	Brandeis D	L	80	130	0	6	0	20	4.00	6	20	3.33
10	MIT C	L	40	325	0	3	0	20	2.00	3	10	3.33


Alex Gornish	7	130	1	4	0	0.14	0.57	0.00	0.00	0.00	4%	55	7.86
Charlotte Topchik	5	80	0	7	0	0.00	1.40	0.00	0.00	0.00	9%	70	14.00
Ian Duffield	8	150	0	21	1	0.00	2.63	0.13	0.00	21.00	14%	205	25.63
Jonah White	7	140	1	9	1	0.14	1.29	0.14	1.00	10.00	7%	100	14.29
Tanner Eustace	9	180	0	4	0	0.00	0.44	0.00	0.00	0.00	2%	40	4.44

Brown A


1	Illinois A	L	265	330	3	6	4	20	13.25	9	180	20.00
2	Brandeis E	W	455	50	5	11	0	20	22.75	16	270	16.88
3	MIT C	W	325	60	1	12	4	20	16.25	13	210	16.15
4	Belmont A	L	230	285	3	5	3	20	11.50	8	150	18.75
5	NYU A	W	295	235	1	10	2	20	14.75	11	190	17.27
6	Columbia A	L	170	335	3	4	5	20	8.50	7	110	15.71
7	Cornell B	W	355	205	2	10	1	20	17.75	12	230	19.17
8	Bowdoin A	W	365	100	6	7	3	20	18.25	13	220	16.92
9	Columbia B	L	235	315	4	4	3	20	11.75	8	150	18.75
10	Amherst A	W	275	90	4	8	1	20	13.75	12	140	11.67


Christopher Shin	10	200	0	1	1	0.00	0.10	0.10	0.00	1.00	1%	5	0.50
Jason Hong	10	200	14	25	5	1.40	2.50	0.50	2.80	7.80	20%	435	43.50
Michael Li	10	200	9	9	9	0.90	0.90	0.90	1.00	2.00	9%	180	18.00
Walter Zhang	10	200	9	42	11	0.90	4.20	1.10	0.82	4.64	26%	500	50.00

Columbia A


1	Harvard B	L	270	300	5	4	1	20	13.50	9	160	17.78
2	MIT D	W	405	95	2	12	3	20	20.25	14	270	19.29
3	NYU B	W	365	180	0	13	3	20	18.25	13	250	19.23
4	Brandeis A	L	290	300	3	7	1	20	14.50	10	180	18.00
5	Cornell B	W	375	155	2	12	1	20	18.75	14	230	16.43
6	Brown A	W	335	170	2	9	1	20	16.75	11	220	20.00
7	Bowdoin A	W	280	200	3	8	3	20	14.00	11	170	15.45
8	Amherst A	W	330	170	1	12	1	20	16.50	13	200	15.38
9	Cornell B	W	450	85	0	16	0	20	22.50	16	290	18.13
10	Columbia B	W	360	155	1	11	1	20	18.00	12	240	20.00


Albert Zhang	10	200	4	35	11	0.40	3.50	1.10	0.36	3.55	20%	355	35.50
Caroline Mao	10	200	9	21	2	0.90	2.10	0.20	4.50	15.00	15%	335	33.50
John John Groger	10	200	6	48	2	0.60	4.80	0.20	3.00	27.00	27%	560	56.00

Columbia B


1	MIT A	L	130	355	0	7	2	20	6.50	7	70	10.00
2	Harvard C	L	285	300	1	8	0	20	14.25	9	190	21.11
3	Brandeis C	W	340	80	0	14	2	20	17.00	14	210	15.00
4	Rochester A	W	445	40	2	14	1	20	22.25	16	280	17.50
5	Amherst A	W	345	135	1	12	0	20	17.25	13	210	16.15
6	Bowdoin A	L	210	215	0	9	6	20	10.50	9	150	16.67
7	Amherst A	W	315	200	1	11	0	20	15.75	12	190	15.83
8	Cornell B	W	295	165	0	12	1	20	14.75	12	180	15.00
9	Brown A	W	315	235	1	11	0	20	15.75	12	190	15.83
10	Columbia A	L	155	360	1	6	4	20	7.75	7	100	14.29


Emhyr Subramanian	10	200	1	14	7	0.10	1.40	0.70	0.14	2.14	8%	120	12.00
Gareth Thorlakson	10	200	6	84	6	0.60	8.40	0.60	1.00	15.00	45%	900	90.00
Haley Herbert	10	200	0	2	1	0.00	0.20	0.10	0.00	2.00	1%	15	1.50
Lilienne Shore Kilgore-Brown	10	200	0	4	2	0.00	0.40	0.20	0.00	2.00	2%	30	3.00

Cornell A


1	Amherst B	W	560	75	10	7	0	20	28.00	17	340	20.00
2	Yale A	L	210	310	3	5	5	20	10.50	8	140	17.50
3	Brandeis D	W	520	10	4	13	2	20	26.00	17	340	20.00
4	NYU C	W	475	70	6	8	3	20	23.75	14	320	22.86
5	MIT B	L	250	335	4	4	2	20	12.50	8	160	20.00
6	Harvard A	W	365	265	6	5	1	20	18.25	11	230	20.91
7	Illinois B	W	395	205	4	9	1	20	19.75	13	250	19.23
8	Yale A	L	285	295	5	5	2	21	13.57	10	170	17.00
9	MIT A	W	420	220	7	6	1	20	21.00	13	260	20.00
10	Harvard B	W	480	95	8	8	0	20	24.00	16	280	17.50
11	Brandeis A	L	230	295	2	5	2	20	11.50	7	160	22.86


Dan Ni	1	20	0	2	1	0.00	2.00	1.00	0.00	2.00	10%	15	15.00
Daniel Xu	10	201	3	23	7	0.30	2.30	0.70	0.43	3.71	13%	240	24.00
Jonathan Tran	11	221	31	13	3	2.82	1.18	0.27	10.33	14.67	20%	580	52.73
Luc Wetherbee	11	221	5	15	0	0.45	1.36	0.00	0.00	0.00	9%	225	20.45
Raymond Wang	11	221	20	22	8	1.82	2.00	0.73	2.50	5.25	19%	480	43.64

Cornell B


1	Brandeis A	L	185	370	2	6	5	20	9.25	8	120	15.00
2	NYU B	W	305	110	4	8	3	20	15.25	12	180	15.00
3	Harvard B	L	115	335	0	7	3	20	5.75	7	60	8.57
4	MIT D	W	245	140	0	11	3	20	12.25	11	150	13.64
5	Columbia A	L	155	375	1	5	4	20	7.75	6	110	18.33
6	Amherst A	L	145	275	1	6	6	20	7.25	7	100	14.29
7	Brown A	L	205	355	2	5	1	20	10.25	7	130	18.57
8	Columbia B	L	165	295	1	7	2	20	8.25	8	90	11.25
9	Columbia A	L	85	450	1	3	6	20	4.25	4	70	17.50
10	Bowdoin A	W	290	145	2	9	2	20	14.50	11	180	16.36


Dan Ni	10	200	6	35	12	0.60	3.50	1.20	0.50	3.42	21%	380	38.00
David Ovetzky	10	200	2	10	8	0.20	1.00	0.80	0.25	1.50	6%	90	9.00
Jacob Kiviat	10	200	2	4	1	0.20	0.40	0.10	2.00	6.00	3%	65	6.50
Shehryar Qazi	10	200	4	18	14	0.40	1.80	1.40	0.29	1.57	11%	170	17.00

Harvard A


1	Yale B	W	530	60	3	14	3	20	26.50	17	360	21.18
2	Brandeis B	W	600	25	5	12	1	20	30.00	17	410	24.12
3	Illinois B	W	325	190	2	10	3	20	16.25	12	210	17.50
4	Wesleyan A	W	290	280	4	6	2	21	13.81	10	180	18.00
5	Bowdoin A	W	320	240	6	6	2	20	16.00	12	180	15.00
6	Cornell A	L	265	365	4	5	3	20	13.25	9	170	18.89
7	Yale A	W	385	210	4	8	1	20	19.25	12	250	20.83
8	MIT A	W	415	230	4	9	1	20	20.75	13	270	20.77
9	Harvard B	L	255	375	4	4	1	20	12.75	8	160	20.00
10	Illinois B	W	450	155	6	8	4	20	22.50	14	300	21.43
11	Harvard C	L	230	295	6	2	4	20	11.50	8	140	17.50


Jon Suh	10	195	22	29	12	2.20	2.90	1.20	1.83	4.25	26%	560	56.00
Kelvin Li	5	100	4	9	3	0.80	1.80	0.60	1.33	4.33	13%	135	27.00
Michael Yue	11	221	22	46	10	2.00	4.18	0.91	2.20	6.80	31%	740	67.27

Harvard B


1	Columbia A	W	300	270	1	10	3	20	15.00	11	200	18.18
2	Brandeis A	L	270	320	3	7	3	20	13.50	10	170	17.00
3	Cornell B	W	335	115	1	12	6	20	16.75	13	230	17.69
4	NYU B	W	220	105	1	8	3	20	11.00	9	140	15.56
5	MIT D	W	395	110	1	14	0	20	19.75	15	240	16.00
6	Yale A	L	240	280	4	5	2	20	12.00	9	140	15.56
7	MIT A	L	275	290	2	7	1	20	13.75	9	180	20.00
8	Illinois B	W	355	180	6	7	3	20	17.75	13	210	16.15
9	Harvard A	W	375	255	5	7	2	20	18.75	12	240	20.00
10	Cornell A	L	95	480	2	2	5	20	4.75	4	70	17.50
11	Illinois A	W	310	155	3	8	1	20	15.50	11	190	17.27


Jake Greer	11	220	1	6	4	0.09	0.55	0.36	0.25	1.75	3%	55	5.00
Mazin Omer	11	220	3	25	8	0.27	2.27	0.73	0.38	3.50	13%	255	23.18
Ricky Li	11	220	25	56	17	2.27	5.09	1.55	1.47	4.76	37%	850	77.27
Serena	9	180	0	0	0	0.00	0.00	0.00	0.00	0.00	0%	0	0.00

Harvard C


1	Brandeis C	W	450	35	5	12	1	20	22.50	17	260	15.29
2	Columbia B	W	300	285	1	10	3	20	15.00	11	200	18.18
3	Rochester A	W	365	135	2	10	3	20	18.25	12	250	20.83
4	Amherst A	W	280	205	2	8	2	20	14.00	10	180	18.00
5	MIT A	W	350	175	4	9	2	20	17.50	13	210	16.15
6	Wesleyan A	L	230	295	1	8	3	20	11.50	9	150	16.67
7	Illinois A	L	265	320	1	9	2	20	13.25	10	170	17.00
8	Belmont A	W	425	95	5	10	2	20	21.25	15	260	17.33
9	Brandeis A	W	365	190	1	12	2	20	18.25	13	240	18.46
10	MIT B	W	360	165	3	10	1	20	18.00	13	220	16.92
11	Harvard A	W	295	230	3	9	2	20	14.75	12	170	14.17


Chris Gilmer-Hill	11	220	12	40	4	1.09	3.64	0.36	3.00	13.00	24%	560	50.91
Jeffrey Fung	11	220	1	3	2	0.09	0.27	0.18	0.50	2.00	2%	35	3.18
Thomas Gioia	11	220	15	64	17	1.36	5.82	1.55	0.88	4.65	36%	780	70.91

Illinois A


1	Brown A	W	330	265	1	10	1	20	16.50	11	220	20.00
2	NYU A	W	300	235	2	8	2	20	15.00	10	200	20.00
3	Brandeis E	W	330	95	2	9	8	20	16.50	11	250	22.73
4	MIT C	W	410	80	3	11	3	20	20.50	14	270	19.29
5	Belmont A	W	375	125	3	10	4	20	18.75	13	250	19.23
6	Belmont A	W	305	160	4	6	5	20	15.25	10	210	21.00
7	Harvard C	W	320	265	2	8	2	20	16.00	10	220	22.00
8	MIT B	W	315	260	3	8	4	20	15.75	11	210	19.09
9	Wesleyan A	L	235	295	0	9	5	20	11.75	9	170	18.89
10	Brandeis A	L	255	325	4	5	1	20	12.75	9	150	16.67
11	Harvard B	L	155	310	2	4	5	20	7.75	6	110	18.33


Iain Carpenter	11	220	7	36	19	0.64	3.27	1.73	0.37	2.26	20%	370	33.64
Karthik Prasad	11	220	5	10	9	0.45	0.91	0.82	0.56	1.67	7%	130	11.82
Mitch McCullar	11	220	11	31	6	1.00	2.82	0.55	1.83	7.00	19%	445	40.45
Olivia Kiser	9	180	3	11	6	0.33	1.22	0.67	0.50	2.33	8%	125	13.89

Illinois B


1	Wesleyan A	W	330	225	4	7	2	20	16.50	11	210	19.09
2	Bowdoin A	W	270	210	3	7	3	20	13.50	10	170	17.00
3	Harvard A	L	190	325	0	7	0	20	9.50	7	120	17.14
4	Brandeis B	W	360	175	3	9	1	20	18.00	12	230	19.17
5	Yale B	W	460	55	4	13	2	20	23.00	17	280	16.47
6	MIT A	L	260	280	2	9	2	20	13.00	11	150	13.64
7	Cornell A	L	205	395	0	7	1	20	10.25	7	140	20.00
8	Harvard B	L	180	355	1	6	1	20	9.00	7	110	15.71
9	Yale A	L	155	300	1	5	2	20	7.75	6	100	16.67
10	Harvard A	L	155	450	1	5	2	20	7.75	6	100	16.67
11	Belmont A	W	270	250	2	7	2	20	13.50	9	180	20.00


Dylan Bowman	11	220	6	28	14	0.55	2.55	1.27	0.43	2.43	15%	300	27.27
Mike Hu	11	220	8	19	3	0.73	1.73	0.27	2.67	9.00	12%	295	26.82
Patrick Minsker	11	220	5	24	0	0.45	2.18	0.00	0.00	0.00	13%	315	28.64
Sasha Rushing	10	200	2	11	1	0.20	1.10	0.10	2.00	13.00	7%	135	13.50

MIT A


1	Columbia B	W	355	130	2	11	5	20	17.75	13	240	18.46
2	Rochester A	W	390	100	2	12	4	20	19.50	14	260	18.57
3	Amherst A	W	510	95	2	14	0	20	25.50	16	340	21.25
4	Brandeis C	W	435	120	2	12	3	20	21.75	14	300	21.43
5	Harvard C	L	175	350	0	7	3	20	8.75	7	120	17.14
6	Illinois B	W	280	260	4	5	4	20	14.00	9	190	21.11
7	Harvard B	W	290	275	2	8	2	20	14.50	10	190	19.00
8	Harvard A	L	230	415	3	4	3	20	11.50	7	160	22.86
9	Cornell A	L	220	420	3	4	3	20	11.00	7	150	21.43
10	Yale A	L	280	340	1	8	3	20	14.00	9	200	22.22
11	MIT B	L	140	345	0	6	8	20	7.00	6	120	20.00


David Do	11	220	5	10	3	0.45	0.91	0.27	1.67	5.00	7%	160	14.55
David Gomez	11	220	1	14	4	0.09	1.27	0.36	0.25	3.75	7%	135	12.27
Grace Liu	11	220	12	39	18	1.09	3.55	1.64	0.67	2.83	23%	480	43.64
Swapnil Garg	11	220	3	28	13	0.27	2.55	1.18	0.23	2.38	14%	260	23.64

MIT B


1	Brandeis D	W	455	15	5	11	0	20	22.75	16	270	16.88
2	Amherst B	W	400	80	2	14	2	20	20.00	16	240	15.00
3	NYU C	W	440	40	0	15	4	20	22.00	15	310	20.67
4	Yale A	W	320	150	1	11	2	20	16.00	12	205	17.08
5	Cornell A	W	335	250	3	9	0	20	16.75	12	200	16.67
6	Brandeis A	L	285	315	4	6	1	20	14.25	10	170	17.00
7	Wesleyan A	L	190	300	0	7	2	20	9.50	7	130	18.57
8	Illinois A	L	260	315	2	7	0	20	13.00	9	160	17.78
9	Belmont A	W	415	85	3	12	2	20	20.75	15	260	17.33
10	Harvard C	L	165	360	1	6	4	20	8.25	7	110	15.71
11	MIT A	W	345	140	2	11	1	20	17.25	13	210	16.15


Katherine Lei	11	220	10	52	4	0.91	4.73	0.36	2.50	15.50	28%	650	59.09
Mihir Khambete	10	200	5	12	8	0.50	1.20	0.80	0.63	2.13	9%	155	15.50
Steven Liu	11	220	3	19	3	0.27	1.73	0.27	1.00	7.33	10%	220	20.00
Vincent Fan	11	220	5	26	3	0.45	2.36	0.27	1.67	10.33	14%	320	29.09

MIT C


1	NYU A	L	125	310	1	5	2	20	6.25	6	70	11.67
2	Belmont A	L	65	350	0	3	1	20	3.25	3	40	13.33
3	Brown A	L	60	325	1	2	1	20	3.00	3	30	10.00
4	Illinois A	L	80	410	0	4	0	20	4.00	4	40	10.00
5	Brandeis E	W	145	130	0	8	3	20	7.25	8	80	10.00
6	Brandeis D	W	285	50	1	12	2	20	14.25	13	160	12.31
7	NYU B	W	220	200	1	9	1	20	11.00	10	120	12.00
9	Brandeis C	W	270	110	1	11	3	20	13.50	12	160	13.33
10	Brandeis E	W	325	40	1	13	0	20	16.25	14	180	12.86


Alan Zhu	9	180	2	20	0	0.22	2.22	0.00	0.00	0.00	12%	230	25.56
Mindy Long	8	160	0	11	8	0.00	1.38	1.00	0.00	1.38	7%	70	8.75
Wayne Zhao	9	180	4	36	5	0.44	4.00	0.56	0.80	8.00	22%	395	43.89

MIT D


1	NYU B	W	235	130	0	9	1	20	11.75	9	150	16.67
2	Columbia A	L	95	405	1	3	2	20	4.75	4	60	15.00
3	Brandeis A	L	60	465	0	3	4	20	3.00	3	50	16.67
4	Cornell B	L	140	245	1	7	1	20	7.00	8	60	7.50
5	Harvard B	L	110	395	2	2	2	20	5.50	4	70	17.50
6	NYU A	L	45	255	0	3	3	20	2.25	3	30	10.00
7	NYU C	L	125	210	0	6	1	20	6.25	6	70	11.67
8	Brandeis B	L	125	220	0	8	1	20	6.25	8	50	6.25
9	Rochester A	W	235	150	1	10	4	20	11.75	11	140	12.73
10	Amherst B	W	190	145	1	10	1	20	9.50	11	80	7.27


Bella Carlo	10	200	2	7	2	0.20	0.70	0.20	1.00	4.50	5%	90	9.00
Ragulan Sivakumar	10	200	4	43	16	0.40	4.30	1.60	0.25	2.94	24%	410	41.00
Tai Zheng	10	200	0	11	2	0.00	1.10	0.20	0.00	5.50	6%	100	10.00

NYU A


1	MIT C	W	310	125	2	10	2	20	15.50	12	190	15.83
2	Illinois A	L	235	300	3	6	0	20	11.75	9	130	14.44
3	Belmont A	L	255	260	0	9	3	20	12.75	9	180	20.00
4	Brandeis E	W	350	30	1	12	3	20	17.50	13	230	17.69
5	Brown A	L	235	295	3	6	4	20	11.75	9	150	16.67
6	MIT D	W	255	45	2	8	1	20	12.75	10	150	15.00
7	Brandeis B	W	350	75	5	10	1	20	17.50	15	180	12.00
8	Amherst B	W	450	10	1	16	1	20	22.50	17	280	16.47
9	NYU C	W	395	80	0	15	1	20	19.75	15	250	16.67
10	Rochester A	W	250	115	2	10	4	20	12.50	12	140	11.67


Daniel Richardson	10	200	3	12	1	0.30	1.20	0.10	3.00	15.00	8%	160	16.00
David Shimshoni	10	200	3	16	4	0.30	1.60	0.40	0.75	4.75	10%	185	18.50
Doug Simons	10	200	12	52	10	1.20	5.20	1.00	1.20	6.40	32%	650	65.00
Lev Bernstein	10	200	1	22	5	0.10	2.20	0.50	0.20	4.60	12%	210	21.00

NYU B


1	MIT D	L	130	235	2	6	2	20	6.50	8	50	6.25
2	Cornell B	L	110	305	0	5	2	20	5.50	5	70	14.00
3	Columbia A	L	180	365	0	7	2	20	9.00	7	120	17.14
4	Harvard B	L	105	220	0	7	1	20	5.25	7	40	5.71
5	Brandeis A	L	195	335	1	7	0	20	9.75	8	110	13.75
6	Brandeis E	W	130	90	2	5	2	20	6.50	7	60	8.57
7	MIT C	L	200	220	1	7	1	20	10.00	8	120	15.00
8	Brandeis C	L	20	230	0	1	0	20	1.00	1	10	10.00
9	Brandeis D	W	210	80	0	9	0	20	10.50	9	120	13.33


Brian Xu	9	180	5	32	6	0.56	3.56	0.67	0.83	6.17	21%	365	40.56
Jeffrey Guan	9	180	0	4	2	0.00	0.44	0.22	0.00	2.00	2%	30	3.33
Lillie Connors	9	180	0	5	1	0.00	0.56	0.11	0.00	5.00	3%	45	5.00
Samantha Eng	9	180	1	13	1	0.11	1.44	0.11	1.00	14.00	8%	140	15.56

NYU C


1	Yale A	L	95	325	0	5	1	20	4.75	5	50	10.00
2	Brandeis D	W	220	95	0	10	0	20	11.00	10	120	12.00
3	MIT B	L	40	440	0	2	0	20	2.00	2	20	10.00
4	Cornell A	L	70	475	0	4	0	20	3.50	4	30	7.50
5	Amherst B	W	155	135	1	6	0	20	7.75	7	80	11.43
6	Amherst B	W	165	95	0	9	1	20	8.25	9	80	8.89
7	MIT D	W	210	125	2	8	0	20	10.50	10	100	10.00
8	Rochester A	W	200	85	0	9	0	20	10.00	9	110	12.22
9	NYU A	L	80	395	0	4	2	20	4.00	4	50	12.50
10	Brandeis B	W	210	55	0	11	2	20	10.50	11	110	10.00


Ben Kaplan	10	200	0	9	0	0.00	0.90	0.00	0.00	0.00	5%	90	9.00
Caroline Couch	10	200	0	19	3	0.00	1.90	0.30	0.00	6.33	10%	175	17.50
Chandler Littleford	10	200	2	21	2	0.20	2.10	0.20	1.00	11.50	12%	230	23.00
Jennifer Yang	10	200	1	19	1	0.10	1.90	0.10	1.00	20.00	10%	200	20.00

Rochester A


1	Amherst A	L	20	485	0	1	0	20	1.00	1	10	10.00
2	MIT A	L	100	390	0	4	0	20	5.00	4	60	15.00
3	Harvard C	L	135	365	0	6	1	20	6.75	6	80	13.33
4	Columbia B	L	40	445	0	2	0	20	2.00	2	20	10.00
5	Brandeis C	W	225	115	0	10	1	20	11.25	10	130	13.00
6	Brandeis B	L	80	235	0	4	0	20	4.00	4	40	10.00
7	Amherst B	L	150	220	0	6	0	20	7.50	6	90	15.00
8	NYU C	L	85	200	1	3	0	20	4.25	4	40	10.00
9	MIT D	L	150	235	0	7	0	20	7.50	7	80	11.43
10	NYU A	L	115	250	0	6	1	20	5.75	6	60	10.00


Anand Idris	9	180	0	6	0	0.00	0.67	0.00	0.00	0.00	3%	60	6.67
Bethany Sielski	10	200	0	1	0	0.00	0.10	0.00	0.00	0.00	1%	10	1.00
Michael Lansford	10	200	1	38	2	0.10	3.80	0.20	0.50	19.50	20%	385	38.50
Nathan Miner	10	200	0	4	1	0.00	0.40	0.10	0.00	4.00	2%	35	3.50

Wesleyan A


1	Illinois B	L	225	330	1	8	4	20	11.25	9	150	16.67
2	Yale B	W	375	125	2	12	3	20	18.75	14	240	17.14
3	Bowdoin A	W	370	120	1	12	3	20	18.50	13	250	19.23
4	Harvard A	L	280	290	2	8	2	21	13.33	10	180	18.00
5	Brandeis B	W	450	55	3	12	3	20	22.50	15	300	20.00
6	Harvard C	W	295	230	3	8	4	20	14.75	11	190	17.27
7	MIT B	W	300	190	1	11	3	20	15.00	12	190	15.83
8	Brandeis A	L	205	360	1	7	2	20	10.25	8	130	16.25
9	Illinois A	W	295	235	1	9	2	20	14.75	10	200	20.00
10	Belmont A	W	280	175	4	7	4	20	14.00	11	170	15.45
11	Yale A	W	310	185	4	7	0	20	15.50	11	180	16.36


Derek Chen	11	221	1	31	7	0.09	2.82	0.64	0.14	4.57	14%	290	26.36
Matt D'Annunzio	11	221	1	12	0	0.09	1.09	0.00	0.00	0.00	6%	135	12.27
Max Shatan	11	221	18	50	21	1.64	4.55	1.91	0.86	3.24	31%	665	60.45
Nicole Lee	11	221	3	8	2	0.27	0.73	0.18	1.50	5.50	5%	115	10.45

Yale A


1	NYU C	W	325	95	1	12	2	20	16.25	13	200	15.38
2	Cornell A	W	310	210	0	12	2	20	15.50	12	200	16.67
3	Amherst B	W	280	220	1	10	5	20	14.00	11	190	17.27
4	MIT B	L	150	320	0	7	2	20	7.50	7	90	12.86
5	Brandeis D	W	415	10	0	17	1	20	20.75	17	250	14.71
6	Harvard B	W	280	240	1	10	1	20	14.00	11	170	15.45
7	Harvard A	L	210	385	1	7	3	20	10.50	8	140	17.50
8	Cornell A	W	295	285	2	9	1	21	14.05	11	180	16.36
9	Illinois B	W	300	155	3	10	3	20	15.00	13	170	13.08
10	MIT A	W	340	280	5	6	5	20	17.00	11	230	20.91
11	Wesleyan A	L	185	310	1	8	6	20	9.25	9	120	13.33


Daniel Ma	7	141	10	46	20	1.43	6.57	2.86	0.50	2.80	40%	510	72.86
Jordan Davidsen	10	181	2	18	3	0.20	1.80	0.30	0.67	6.67	11%	195	19.50
Matt Pecoraro	10	201	0	14	4	0.00	1.40	0.40	0.00	3.50	7%	120	12.00
Mauricio Gonzalez Sanchez	10	191	3	27	4	0.30	2.70	0.40	0.75	7.50	16%	295	29.50
Sebastian Torres	9	170	0	3	0	0.00	0.33	0.00	0.00	0.00	2%	30	3.33

Yale B


1	Harvard A	L	60	530	0	3	2	20	3.00	3	40	13.33
2	Wesleyan A	L	125	375	1	4	2	20	6.25	5	80	16.00
3	Brandeis B	L	130	190	0	7	4	20	6.50	7	80	11.43
4	Bowdoin A	L	115	255	0	6	1	20	5.75	6	60	10.00
5	Illinois B	L	55	460	0	3	1	20	2.75	3	30	10.00
6	Brandeis C	L	135	150	0	8	1	20	6.75	8	60	7.50
7	Brandeis D	W	140	50	0	10	2	20	7.00	10	50	5.00


Ben Cifu	7	140	1	18	11	0.14	2.57	1.57	0.09	1.73	14%	140	20.00
Kassandra Haakman	7	140	0	13	1	0.00	1.86	0.14	0.00	13.00	9%	125	17.86
Nico Brayton	5	100	0	10	1	0.00	2.00	0.20	0.00	10.00	10%	95	19.00