2018 EFT at Yale

October 13, 2018

Amherst A


1	NYU D	W	470	60	4	11	4	20	23.50	15	320	21.33
2	Harvard B	W	335	215	4	7	5	20	16.75	11	230	20.91
4	Columbia A	W	325	245	5	6	6	20	16.25	11	220	20.00
5	Bowdoin B	W	565	-5	7	11	2	20	28.25	18	360	20.00
6	UConn B	W	480	35	2	14	2	20	24.00	16	320	20.00
7	MIT C	W	385	130	3	11	4	20	19.25	14	250	17.86
8	Harvard C	W	340	295	7	4	1	20	17.00	11	200	18.18
9	Columbia C	W	395	175	6	6	3	20	19.75	12	260	21.67
10	Rutgers A	L	280	320	2	8	4	20	14.00	10	190	19.00
13	Harvard A	W	395	245	8	3	3	20	19.75	11	260	23.64
14	Rutgers A	W	420	175	4	9	2	20	21.00	13	280	21.54


Boyang Jiao	11	220	23	25	17	2.09	2.27	1.55	1.35	2.82	22%	510	46.36
Eliot Atsushi Williams	11	220	4	26	2	0.36	2.36	0.18	2.00	15.00	14%	310	28.18
Kevin Wang	11	220	25	39	17	2.27	3.55	1.55	1.47	3.76	29%	680	61.82

Amherst B


1	Columbia C	L	165	240	0	9	1	20	8.25	9	80	8.89
2	Columbia D	W	210	70	0	9	2	20	10.50	9	130	14.44
4	Rutgers B	L	70	215	0	5	4	20	3.50	5	40	8.00
5	Harvard A	L	45	505	0	3	1	20	2.25	3	20	6.67
6	RPI A	L	165	220	1	6	2	20	8.25	7	100	14.29
7	NYU B	L	135	185	0	8	1	20	6.75	8	60	7.50
8	UConn A	L	130	210	1	6	1	20	6.50	7	60	8.57
9	NYU D	W	160	75	2	7	6	20	8.00	9	90	10.00
10	Yale A	L	155	210	2	5	3	20	7.75	7	90	12.86


Enes Kristo	9	180	4	22	10	0.44	2.44	1.11	0.40	2.60	14%	230	25.56
Samuel Beach	9	180	0	16	2	0.00	1.78	0.22	0.00	8.00	9%	150	16.67
Thomas Brody	9	180	2	20	9	0.22	2.22	1.00	0.22	2.44	12%	185	20.56

Amherst C


1	Rutgers C	W	250	120	1	11	1	20	12.50	12	130	10.83
2	Yale A	W	185	155	1	8	2	20	9.25	9	100	11.11
4	MIT A	L	150	295	1	5	1	20	7.50	6	90	15.00
5	Columbia B	W	305	150	1	12	2	20	15.25	13	180	13.85
6	Harvard C	L	160	330	0	8	0	20	8.00	8	80	10.00
7	NYU A	L	210	270	0	9	0	20	10.50	9	120	13.33
8	MIT C	W	275	100	1	11	2	20	13.75	12	160	13.33
9	MIT B	L	160	225	0	8	0	20	8.00	8	80	10.00
10	NYU B	L	150	240	0	7	0	20	7.50	7	80	11.43


Andy Tang	9	180	4	55	6	0.44	6.11	0.67	0.67	9.83	33%	580	64.44
Anij Magill	9	180	1	24	2	0.11	2.67	0.22	0.50	12.50	14%	245	27.22

Bowdoin A


1	NYU C	W	285	110	0	13	3	20	14.25	13	170	13.08
2	Rutgers A	L	145	395	1	5	0	20	7.25	6	80	13.33
3	Brown A	L	165	360	1	5	2	20	8.25	6	110	18.33
4	Rutgers D	W	295	45	0	13	3	20	14.75	13	180	13.85
6	UConn A	W	240	115	0	10	2	20	12.00	10	150	15.00
7	MIT B	W	220	195	0	10	2	20	11.00	10	130	13.00
8	Rutgers B	W	265	135	1	11	2	20	13.25	12	150	12.50
9	MIT A	L	150	310	0	6	2	20	7.50	6	100	16.67
10	Columbia A	L	155	355	0	7	1	20	7.75	7	90	12.86


Coleman Brockmeier	9	180	0	3	0	0.00	0.33	0.00	0.00	0.00	2%	30	3.33
Kodie Garza	9	180	0	1	0	0.00	0.11	0.00	0.00	0.00	1%	10	1.11
Michael Borecki	9	180	3	76	17	0.33	8.44	1.89	0.18	4.65	44%	720	80.00

Bowdoin B


1	Columbia A	L	15	465	1	1	4	20	0.75	2	10	5.00
2	UConn B	W	190	75	2	9	0	20	9.50	11	70	6.36
3	MIT C	L	85	170	1	4	2	20	4.25	5	40	8.00
4	NYU D	W	145	135	0	8	1	20	7.25	8	70	8.75
5	Amherst A	L	-5	565	0	0	1	20	-0.25	0	0	0.00
7	Harvard B	L	90	330	0	5	2	20	4.50	5	50	10.00
8	Columbia B	L	80	200	0	5	4	20	4.00	5	50	10.00
9	RPI A	L	70	195	0	4	2	20	3.50	4	40	10.00
10	NYU C	L	0	380	0	0	0	20	0.00	0	0	0.00


Alec Goffin	9	180	1	5	4	0.11	0.56	0.44	0.25	1.50	3%	45	5.00
Kathryn McGinnis	9	180	0	2	1	0.00	0.22	0.11	0.00	2.00	1%	15	1.67
Sam Roussel	9	180	1	14	4	0.11	1.56	0.44	0.25	3.75	8%	135	15.00
Srini Pandiyan	9	180	2	15	7	0.22	1.67	0.78	0.29	2.43	9%	145	16.11

Brown A


2	NYU C	W	365	120	0	13	5	20	18.25	13	260	20.00
3	Bowdoin A	W	360	165	4	9	6	20	18.00	13	240	18.46
4	UConn A	W	465	85	3	12	2	20	23.25	15	310	20.67
5	MIT B	W	350	85	3	10	3	20	17.50	13	220	16.92
6	Rutgers A	W	350	200	4	8	4	20	17.50	12	230	19.17
7	Rutgers D	W	360	75	5	8	5	20	18.00	13	230	17.69
8	Harvard A	L	250	260	5	4	5	20	12.50	9	160	17.78
9	NYU A	W	285	255	7	3	4	20	14.25	10	170	17.00
10	Harvard B	W	345	190	2	10	5	20	17.25	12	240	20.00
13	Rutgers A	L	245	255	5	5	4	20	12.25	10	140	14.00
14	Harvard A	L	315	320	6	4	5	20	15.75	10	210	21.00


Ankush Bajaj	11	220	15	22	18	1.36	2.00	1.64	0.83	2.06	17%	355	32.27
Daniel Wang	11	220	14	27	8	1.27	2.45	0.73	1.75	5.13	19%	440	40.00
Evan Pandya	11	220	9	27	16	0.82	2.45	1.45	0.56	2.25	16%	325	29.55
Ujwal Punyamurtula	11	220	6	10	6	0.55	0.91	0.55	1.00	2.67	7%	160	14.55

Columbia A


1	Bowdoin B	W	465	15	2	15	1	20	23.25	17	290	17.06
2	NYU D	W	485	25	1	16	2	20	24.25	17	320	18.82
3	UConn B	W	405	55	6	7	1	20	20.25	13	250	19.23
4	Amherst A	L	245	325	1	8	0	20	12.25	9	150	16.67
5	MIT C	W	355	105	2	11	1	20	17.75	13	220	16.92
6	Harvard B	L	185	275	2	6	1	20	9.25	8	100	12.50
8	MIT A	W	275	240	5	4	0	20	13.75	9	160	17.78
9	Rutgers B	W	290	195	3	8	3	20	14.50	11	180	16.36
10	Bowdoin A	W	355	155	5	8	2	20	17.75	13	210	16.15


Daniel Shao	9	180	13	33	1	1.44	3.67	0.11	13.00	46.00	26%	520	57.78
Emmaline Bennett	9	180	6	6	2	0.67	0.67	0.22	3.00	6.00	7%	140	15.56
Jackson Painter	9	180	2	15	8	0.22	1.67	0.89	0.25	2.13	9%	140	15.56
Julia Tong	9	180	6	29	0	0.67	3.22	0.00	0.00	0.00	19%	380	42.22

Columbia B


1	MIT A	L	150	285	0	7	2	20	7.50	7	90	12.86
2	Harvard C	L	110	440	0	4	0	20	5.50	4	70	17.50
3	NYU A	L	85	405	1	3	2	20	4.25	4	50	12.50
4	Rutgers C	W	340	100	2	13	0	20	17.00	15	180	12.00
5	Amherst C	L	150	305	0	6	0	20	7.50	6	90	15.00
7	Yale A	W	255	100	0	12	1	20	12.75	12	140	11.67
8	Bowdoin B	W	200	80	0	10	2	20	10.00	10	110	11.00
9	NYU C	W	295	95	1	12	0	20	14.75	13	160	12.31
10	RPI A	W	260	185	0	10	0	20	13.00	10	160	16.00


Elise Schlecht	9	180	2	17	5	0.22	1.89	0.56	0.40	3.80	11%	175	19.44
Nathan Kempf	9	180	2	42	1	0.22	4.67	0.11	2.00	44.00	24%	445	49.44
Nikita Podobedov	9	180	0	18	1	0.00	2.00	0.11	0.00	18.00	10%	175	19.44

Columbia C


1	Amherst B	W	240	165	1	9	1	20	12.00	10	140	14.00
2	Rutgers B	L	150	260	1	5	1	20	7.50	6	90	15.00
3	Columbia D	W	350	115	3	11	1	20	17.50	14	200	14.29
4	Harvard A	L	105	410	0	6	1	20	5.25	6	50	8.33
6	NYU B	W	320	180	0	12	2	20	16.00	12	210	17.50
7	RPI A	W	350	90	0	14	2	20	17.50	14	220	15.71
8	Rutgers A	L	125	360	2	3	1	20	6.25	5	70	14.00
9	Amherst A	L	175	395	0	7	1	20	8.75	7	110	15.71
10	Harvard C	L	220	320	0	9	2	20	11.00	9	140	15.56
11	Harvard B	W	225	220	1	8	2	20	11.25	9	140	15.56
12	Rutgers B	W	250	60	3	9	3	20	12.50	12	130	10.83


Antonio Camara	11	220	3	29	5	0.27	2.64	0.45	0.60	6.40	15%	310	28.18
Ignacio Lopez Gaffney	11	220	5	22	4	0.45	2.00	0.36	1.25	6.75	12%	275	25.00
Jake Fisher	11	220	3	31	5	0.27	2.82	0.45	0.60	6.80	15%	330	30.00
Jeff Xie	11	220	0	11	3	0.00	1.00	0.27	0.00	3.67	5%	95	8.64

Columbia D


2	Amherst B	L	70	210	0	5	4	20	3.50	5	40	8.00
3	Columbia C	L	115	350	0	5	1	20	5.75	5	70	14.00
4	NYU B	L	80	270	1	3	1	20	4.00	4	40	10.00
5	RPI A	L	100	165	0	6	4	20	5.00	6	60	10.00
6	Rutgers B	L	150	245	1	6	3	20	7.50	7	90	12.86
7	Harvard A	L	70	500	1	2	1	20	3.50	3	40	13.33
8	Rutgers D	W	195	110	0	10	1	20	9.75	10	100	10.00
9	UConn B	W	175	80	1	8	4	20	8.75	9	100	11.11
10	Rutgers C	L	125	220	1	5	2	20	6.25	6	70	11.67


Amber Smith	9	180	0	2	0	0.00	0.22	0.00	0.00	0.00	1%	20	2.22
Sami Raha	9	180	5	33	16	0.56	3.67	1.78	0.31	2.38	21%	325	36.11
Sean Sieczka	9	180	0	15	5	0.00	1.67	0.56	0.00	3.00	8%	125	13.89

Harvard A


1	Rutgers B	W	495	120	5	10	2	20	24.75	15	330	22.00
2	RPI A	W	440	120	1	14	1	20	22.00	15	290	19.33
3	NYU B	W	395	170	5	8	4	20	19.75	13	260	20.00
4	Columbia C	W	410	105	5	9	1	20	20.50	14	250	17.86
5	Amherst B	W	505	45	5	11	2	20	25.25	16	330	20.63
7	Columbia D	W	500	70	4	13	0	20	25.00	17	310	18.24
8	Brown A	W	260	250	2	7	2	20	13.00	9	170	18.89
9	Harvard B	W	310	165	2	9	2	20	15.50	11	200	18.18
10	NYU A	W	325	230	3	9	2	20	16.25	12	200	16.67
13	Amherst A	L	245	395	5	3	0	20	12.25	8	140	17.50
14	Brown A	W	320	315	3	7	1	20	16.00	10	210	21.00


Jon Suh	11	220	12	30	8	1.09	2.73	0.73	1.50	5.25	19%	440	40.00
Luke Minton	11	220	16	32	7	1.45	2.91	0.64	2.29	6.86	22%	525	47.73
Michael Yue	11	220	10	31	2	0.91	2.82	0.18	5.00	20.50	19%	450	40.91
Richard Qiu	11	220	2	7	0	0.18	0.64	0.00	0.00	0.00	4%	100	9.09

Harvard B


2	Amherst A	L	215	335	0	8	1	20	10.75	8	140	17.50
3	NYU D	W	255	110	2	9	5	20	12.75	11	160	14.55
4	MIT C	W	370	120	0	13	2	20	18.50	13	250	19.23
5	UConn B	W	380	70	4	11	0	20	19.00	15	210	14.00
6	Columbia A	W	275	185	2	9	1	20	13.75	11	160	14.55
7	Bowdoin B	W	330	90	0	14	2	20	16.50	14	200	14.29
8	NYU A	L	195	290	1	7	4	20	9.75	8	130	16.25
9	Harvard A	L	165	310	2	4	3	20	8.25	6	110	18.33
10	Brown A	L	190	345	0	8	0	20	9.50	8	110	13.75
11	Columbia C	L	220	225	1	9	3	20	11.00	10	130	13.00


Kelvin Li	10	200	4	23	6	0.40	2.30	0.60	0.67	4.50	14%	260	26.00
Nathaniel Hibbert	10	200	0	2	2	0.00	0.20	0.20	0.00	1.00	1%	10	1.00
Ricky Li	10	200	8	67	13	0.80	6.70	1.30	0.62	5.77	38%	725	72.50

Harvard C


1	NYU A	W	260	250	1	9	5	20	13.00	10	180	18.00
2	Columbia B	W	440	110	2	12	2	20	22.00	14	300	21.43
3	MIT A	W	290	195	1	9	1	20	14.50	10	190	19.00
5	Yale A	W	345	205	1	11	4	20	17.25	12	240	20.00
6	Amherst C	W	330	160	1	10	5	20	16.50	11	240	21.82
7	Rutgers C	W	480	15	3	16	1	20	24.00	19	280	14.74
8	Amherst A	L	295	340	3	6	2	20	14.75	9	200	22.22
9	Rutgers A	L	220	345	1	6	3	20	11.00	7	160	22.86
10	Columbia C	W	320	220	1	10	5	20	16.00	11	230	20.91
11	NYU A	W	310	250	4	6	4	20	15.50	10	210	21.00


Chris Gilmer-Hill	10	200	1	19	4	0.10	1.90	0.40	0.25	5.00	10%	185	18.50
Justin Duffy	10	200	3	8	7	0.30	0.80	0.70	0.43	1.57	6%	90	9.00
Kevin Huang	10	200	2	26	5	0.20	2.60	0.50	0.40	5.60	14%	265	26.50
Thomas Gioia	10	200	12	42	16	1.20	4.20	1.60	0.75	3.38	27%	520	52.00

MIT A


1	Columbia B	W	285	150	1	10	6	20	14.25	11	200	18.18
2	Rutgers C	W	370	85	2	11	4	20	18.50	13	250	19.23
3	Harvard C	L	195	290	2	6	5	20	9.75	8	130	16.25
4	Amherst C	W	295	150	2	10	3	20	14.75	12	180	15.00
5	NYU A	L	180	360	0	8	2	20	9.00	8	110	13.75
6	Yale A	W	420	110	1	13	3	20	21.00	14	290	20.71
8	Columbia A	L	240	275	1	8	3	20	12.00	9	160	17.78
9	Bowdoin A	W	310	150	1	11	5	20	15.50	12	210	17.50
10	Rutgers B	W	295	130	1	11	2	20	14.75	12	180	15.00


AJ Cox	9	180	1	15	9	0.11	1.67	1.00	0.11	1.78	9%	120	13.33
David Gomez	9	180	0	13	5	0.00	1.44	0.56	0.00	2.60	7%	105	11.67
Lily Zhang	9	180	5	9	6	0.56	1.00	0.67	0.83	2.33	8%	135	15.00
Swapnil Garg	9	180	5	51	13	0.56	5.67	1.44	0.38	4.31	31%	520	57.78

MIT B


1	UConn A	W	235	95	1	10	6	20	11.75	11	150	13.64
2	Rutgers D	W	330	50	0	15	2	20	16.50	15	190	12.67
3	Rutgers A	L	85	405	0	5	3	20	4.25	5	50	10.00
5	Brown A	L	85	350	3	1	2	20	4.25	4	40	10.00
6	NYU C	W	350	120	1	13	3	20	17.50	14	220	15.71
7	Bowdoin A	L	195	220	0	10	1	20	9.75	10	100	10.00
8	NYU B	W	240	185	1	10	3	20	12.00	11	140	12.73
9	Amherst C	W	225	160	1	8	2	20	11.25	9	140	15.56
10	MIT C	L	205	245	2	7	3	20	10.25	9	120	13.33


Aniket Dehadrai	9	180	3	25	10	0.33	2.78	1.11	0.30	2.80	16%	245	27.22
David Do	9	180	2	41	8	0.22	4.56	0.89	0.25	5.38	24%	400	44.44
Desmond Edwards	9	180	4	13	7	0.44	1.44	0.78	0.57	2.43	9%	155	17.22

MIT C


1	UConn B	W	160	65	1	8	3	20	8.00	9	80	8.89
3	Bowdoin B	W	170	85	0	10	2	20	8.50	10	80	8.00
4	Harvard B	L	120	370	1	6	1	20	6.00	7	50	7.14
5	Columbia A	L	105	355	0	5	3	20	5.25	5	70	14.00
6	NYU D	W	180	120	0	8	2	20	9.00	8	110	13.75
7	Amherst A	L	130	385	0	5	0	20	6.50	5	80	16.00
8	Amherst C	L	100	275	1	5	1	20	5.00	6	40	6.67
9	NYU B	L	130	150	1	7	5	20	6.50	8	70	8.75
10	MIT B	W	245	205	2	8	1	20	12.25	10	140	14.00


Brian Hoh	9	180	3	28	9	0.33	3.11	1.00	0.33	3.44	17%	280	31.11
Eli Villa	9	180	0	4	0	0.00	0.44	0.00	0.00	0.00	2%	40	4.44
Shuli Jones	9	180	3	30	9	0.33	3.33	1.00	0.33	3.67	18%	300	33.33

NYU A


1	Harvard C	L	250	260	2	7	2	20	12.50	9	160	17.78
3	Yale A	W	350	105	4	8	2	20	17.50	12	220	18.33
3	Columbia B	W	405	85	2	13	1	20	20.25	15	250	16.67
5	MIT A	W	360	180	2	10	2	20	18.00	12	240	20.00
6	Rutgers C	W	465	25	1	16	0	20	23.25	17	290	17.06
7	Amherst C	W	270	210	2	9	0	20	13.50	11	150	13.64
8	Harvard B	W	290	195	1	10	3	20	14.50	11	190	17.27
9	Brown A	L	255	285	2	7	3	20	12.75	9	170	18.89
10	Harvard A	L	230	325	1	7	1	20	11.50	8	150	18.75
11	Harvard C	L	250	310	2	7	2	20	12.50	9	160	17.78


Daniel Richardson	10	200	1	1	2	0.10	0.10	0.20	0.50	1.00	1%	15	1.50
Harrison Whitaker	10	200	8	40	3	0.80	4.00	0.30	2.67	16.00	24%	505	50.50
Mitch Baron	10	200	2	23	6	0.20	2.30	0.60	0.33	4.17	13%	230	23.00
Rahul Rao-Pothuraju	10	200	8	30	5	0.80	3.00	0.50	1.60	7.60	19%	395	39.50

NYU B


1	RPI A	L	135	270	1	5	2	20	6.75	6	80	13.33
3	Harvard A	L	170	395	3	3	1	20	8.50	6	100	16.67
4	Columbia D	W	270	80	0	11	2	20	13.50	11	170	15.45
5	Rutgers B	W	285	150	2	9	3	20	14.25	11	180	16.36
6	Columbia C	L	180	320	2	5	0	20	9.00	7	100	14.29
7	Amherst B	W	185	135	1	8	2	20	9.25	9	100	11.11
8	MIT B	L	185	240	2	5	1	20	9.25	7	110	15.71
9	MIT C	W	150	130	1	9	1	20	7.50	10	50	5.00
10	Amherst C	W	240	150	0	11	2	20	12.00	11	140	12.73
12	RPI A	W	190	160	1	6	1	20	9.50	7	120	17.14


Ben Chin	9	180	0	19	2	0.00	2.11	0.22	0.00	9.50	11%	180	20.00
Doug Simons	9	180	10	29	4	1.11	3.22	0.44	2.50	9.75	22%	420	46.67
Lev Bernstein	8	160	2	15	7	0.25	1.88	0.88	0.29	2.43	11%	145	18.13
Rachel Cameron	8	160	1	3	0	0.13	0.38	0.00	0.00	0.00	3%	45	5.63
Read Brown	9	180	0	6	2	0.00	0.67	0.22	0.00	3.00	3%	50	5.56

NYU C


1	Bowdoin A	L	110	285	2	3	0	20	5.50	5	50	10.00
2	Brown A	L	120	365	0	5	2	20	6.00	5	80	16.00
4	Rutgers A	L	65	410	0	4	1	20	3.25	4	30	7.50
5	Rutgers D	W	205	165	0	9	1	20	10.25	9	120	13.33
6	MIT B	L	120	350	0	5	2	20	6.00	5	80	16.00
7	UConn A	W	200	120	0	10	0	20	10.00	10	100	10.00
8	RPI A	W	195	160	0	8	1	20	9.75	8	120	15.00
9	Columbia B	L	95	295	1	4	4	20	4.75	5	60	12.00
10	Bowdoin B	W	380	0	0	16	0	20	19.00	16	220	13.75


Alan Sun	9	180	0	3	1	0.00	0.33	0.11	0.00	3.00	2%	25	2.78
Andrew Ankersen	9	180	2	27	5	0.22	3.00	0.56	0.40	5.80	16%	275	30.56
Oliver Xu	9	180	0	15	3	0.00	1.67	0.33	0.00	5.00	8%	135	15.00
Theresa Nyowheoma	9	180	1	19	2	0.11	2.11	0.22	0.50	10.00	11%	195	21.67

NYU D


1	Amherst A	L	60	470	0	3	0	20	3.00	3	30	10.00
2	Columbia A	L	25	485	1	1	4	20	1.25	2	20	10.00
3	Harvard B	L	110	255	0	5	0	20	5.50	5	60	12.00
4	Bowdoin B	L	135	145	0	8	3	20	6.75	8	70	8.75
6	MIT C	L	120	180	0	6	4	20	6.00	6	80	13.33
7	UConn B	W	165	155	0	7	1	20	8.25	7	100	14.29
8	Yale A	L	30	145	0	4	4	20	1.50	4	10	2.50
9	Amherst B	L	75	160	0	5	3	20	3.75	5	40	8.00
10	UConn A	L	150	160	0	9	0	20	7.50	9	60	6.67


Ben Davis	9	180	0	18	2	0.00	2.00	0.22	0.00	9.00	10%	170	18.89
Carter Hohl	9	180	0	5	2	0.00	0.56	0.22	0.00	2.50	3%	40	4.44
Joshua Jones	9	180	0	12	7	0.00	1.33	0.78	0.00	1.71	7%	85	9.44
Michael Wu	9	180	1	13	8	0.11	1.44	0.89	0.13	1.75	8%	105	11.67

RPI A


1	NYU B	W	270	135	0	13	0	20	13.50	13	140	10.77
2	Harvard A	L	120	440	2	2	2	20	6.00	4	80	20.00
3	Rutgers B	L	110	295	1	5	5	20	5.50	6	70	11.67
5	Columbia D	W	165	100	0	8	5	20	8.25	8	110	13.75
6	Amherst B	W	220	165	0	10	2	20	11.00	10	130	13.00
7	Columbia C	L	90	350	1	4	3	20	4.50	5	50	10.00
8	NYU C	L	160	195	0	9	6	20	8.00	9	100	11.11
9	Bowdoin B	W	195	70	1	9	4	20	9.75	10	110	11.00
10	Columbia B	L	185	260	0	8	3	20	9.25	8	120	15.00
12	NYU B	L	160	190	2	8	4	20	8.00	10	70	7.00


Anshul Vyakharnam	7	140	0	4	0	0.00	0.57	0.00	0.00	0.00	3%	40	5.71
Harrison	5	100	0	0	0	0.00	0.00	0.00	0.00	0.00	0%	0	0.00
Joe	6	120	0	1	0	0.00	0.17	0.00	0.00	0.00	1%	10	1.67
Luke Mallin	10	200	6	41	22	0.60	4.10	2.20	0.27	2.14	24%	390	39.00
Mark	10	200	0	16	3	0.00	1.60	0.30	0.00	5.33	8%	145	14.50
Parth Bhide	10	200	1	14	9	0.10	1.40	0.90	0.11	1.67	8%	110	11.00

Rutgers A


1	Rutgers D	W	445	5	3	13	2	20	22.25	16	280	17.50
2	Bowdoin A	W	395	145	3	10	2	20	19.75	13	260	20.00
3	MIT B	W	405	85	3	11	4	20	20.25	14	270	19.29
4	NYU C	W	410	65	4	10	2	20	20.50	14	260	18.57
5	UConn A	W	390	135	5	8	3	20	19.50	13	250	19.23
6	Brown A	L	200	350	2	6	2	20	10.00	8	120	15.00
8	Columbia C	W	360	125	2	11	2	20	18.00	13	230	17.69
9	Harvard C	W	345	220	2	11	1	20	17.25	13	210	16.15
10	Amherst A	W	320	280	4	6	2	20	16.00	10	210	21.00
13	Brown A	W	255	245	3	6	4	20	12.75	9	170	18.89
14	Amherst A	L	175	420	1	5	4	20	8.75	6	130	21.67


Anton Maliev	11	220	2	12	1	0.18	1.09	0.09	2.00	14.00	6%	145	13.18
David Song	11	220	5	11	5	0.45	1.00	0.45	1.00	3.20	7%	160	14.55
Emmett Laurie	11	220	13	45	15	1.18	4.09	1.36	0.87	3.87	26%	570	51.82
Joelle Smart	11	220	12	29	7	1.09	2.64	0.64	1.71	5.86	19%	435	39.55

Rutgers B


1	Harvard A	L	120	495	0	5	2	20	6.00	5	80	16.00
2	Columbia C	W	260	150	1	10	3	20	13.00	11	160	14.55
3	RPI A	W	295	110	3	9	4	20	14.75	12	180	15.00
4	Amherst B	W	215	70	0	11	1	20	10.75	11	110	10.00
5	NYU B	L	150	285	2	6	4	20	7.50	8	80	10.00
6	Columbia D	W	245	150	0	11	3	20	12.25	11	150	13.64
8	Bowdoin A	L	135	265	0	6	5	20	6.75	6	100	16.67
9	Columbia A	L	195	290	0	8	1	20	9.75	8	120	15.00
10	MIT A	L	130	295	0	6	2	20	6.50	6	80	13.33
12	Columbia C	L	60	250	0	5	6	20	3.00	5	40	8.00


Alice Huang	10	200	1	11	2	0.10	1.10	0.20	0.50	6.00	6%	115	11.50
Andrew Lo	10	200	0	20	5	0.00	2.00	0.50	0.00	4.00	10%	175	17.50
Brian Lu	10	200	0	11	3	0.00	1.10	0.30	0.00	3.67	6%	95	9.50
Michael Gleyzer	10	200	5	35	21	0.50	3.50	2.10	0.24	1.90	20%	320	32.00

Rutgers C


1	Amherst C	L	120	250	2	4	0	20	6.00	6	50	8.33
2	MIT A	L	85	370	0	4	1	20	4.25	4	50	12.50
3	Yale A	L	80	295	0	4	2	20	4.00	4	50	12.50
4	Columbia B	L	100	340	0	4	2	20	5.00	4	70	17.50
6	NYU A	L	25	465	0	2	1	20	1.25	2	10	5.00
7	Harvard C	L	15	480	0	1	1	20	0.75	1	10	10.00
8	UConn B	L	130	165	0	7	0	20	6.50	7	60	8.57
9	Rutgers D	W	155	130	1	7	2	20	7.75	8	80	10.00
10	Columbia D	W	220	125	0	9	0	20	11.00	9	130	14.44


Ameya Phadnis	9	180	0	12	2	0.00	1.33	0.22	0.00	6.00	7%	110	12.22
Eric Tonno	9	180	0	3	0	0.00	0.33	0.00	0.00	0.00	2%	30	3.33
James Hadley	9	180	2	19	4	0.22	2.11	0.44	0.50	5.25	12%	200	22.22
Stephen Ratner	9	180	1	8	3	0.11	0.89	0.33	0.33	3.00	5%	80	8.89

Rutgers D


1	Rutgers A	L	5	445	0	1	3	20	0.25	1	10	10.00
2	MIT B	L	50	330	0	3	2	20	2.50	3	30	10.00
3	UConn A	L	110	200	0	5	0	20	5.50	5	60	12.00
4	Bowdoin A	L	45	295	0	3	1	20	2.25	3	20	6.67
5	NYU C	L	165	205	0	8	3	20	8.25	8	100	12.50
7	Brown A	L	75	360	0	4	1	20	3.75	4	40	10.00
8	Columbia D	L	110	195	2	3	2	20	5.50	5	60	12.00
9	Rutgers C	L	130	155	1	6	1	20	6.50	7	60	8.57
10	UConn B	W	260	25	2	11	0	20	13.00	13	120	9.23


Ali Hamza	9	180	4	20	3	0.44	2.22	0.33	1.33	8.00	13%	245	27.22
Lucy Huang	9	180	0	11	4	0.00	1.22	0.44	0.00	2.75	6%	90	10.00
Mirai Mikhail	9	180	0	7	2	0.00	0.78	0.22	0.00	3.50	4%	60	6.67
Mohin Chanpura	9	180	1	6	4	0.11	0.67	0.44	0.25	1.75	4%	55	6.11

UConn A


1	MIT B	L	95	235	0	5	1	20	4.75	5	50	10.00
3	Rutgers D	W	200	110	0	11	2	20	10.00	11	100	9.09
4	Brown A	L	85	465	1	3	0	20	4.25	4	40	10.00
5	Rutgers A	L	135	390	1	5	2	20	6.75	6	80	13.33
6	Bowdoin A	L	115	240	1	4	2	20	5.75	5	70	14.00
7	NYU C	L	120	200	1	7	7	20	6.00	8	70	8.75
8	Amherst B	W	210	130	1	9	1	20	10.50	10	110	11.00
9	Yale A	W	160	135	0	7	4	20	8.00	7	110	15.71
10	NYU D	W	160	150	1	7	3	20	8.00	8	90	11.25


Adrian Gibson	9	180	4	14	6	0.44	1.56	0.67	0.67	3.00	10%	170	18.89
Aishwarya Mogulothu	9	180	0	4	1	0.00	0.44	0.11	0.00	4.00	2%	35	3.89
Jay Cizeski	9	180	1	27	10	0.11	3.00	1.11	0.10	2.80	16%	235	26.11
Tim Nolan	9	180	1	13	5	0.11	1.44	0.56	0.20	2.80	8%	120	13.33

UConn B


1	MIT C	L	65	160	0	4	3	20	3.25	4	40	10.00
2	Bowdoin B	L	75	190	0	5	5	20	3.75	5	50	10.00
3	Columbia A	L	55	405	1	3	6	20	2.75	4	40	10.00
5	Harvard B	L	70	380	0	3	2	20	3.50	3	50	16.67
6	Amherst A	L	35	480	1	1	2	20	1.75	2	20	10.00
7	NYU D	L	155	165	0	9	1	20	7.75	9	70	7.78
8	Rutgers C	W	165	130	0	8	3	20	8.25	8	100	12.50
9	Columbia D	L	80	175	0	5	4	20	4.00	5	50	10.00
10	Rutgers D	L	25	260	0	3	5	20	1.25	3	20	6.67


Aidan Garrity	9	180	0	9	3	0.00	1.00	0.33	0.00	3.00	5%	75	8.33
Alex Palvinski	9	180	0	0	0	0.00	0.00	0.00	0.00	0.00	0%	0	0.00
Jake Karetsky	9	180	1	11	13	0.11	1.22	1.44	0.08	0.92	7%	60	6.67
Ron LaMonica	9	180	1	21	15	0.11	2.33	1.67	0.07	1.47	12%	150	16.67

Yale A


2	Amherst C	L	155	185	0	7	3	20	7.75	7	100	14.29
3	NYU A	L	105	350	0	6	1	20	5.25	6	50	8.33
3	Rutgers C	W	295	80	2	12	2	20	14.75	14	155	11.07
5	Harvard C	L	205	345	1	6	0	20	10.25	7	130	18.57
6	MIT A	L	110	420	0	5	2	20	5.50	5	70	14.00
7	Columbia B	L	100	255	0	6	2	20	5.00	6	50	8.33
8	NYU D	W	145	30	0	8	1	20	7.25	8	70	8.75
9	UConn A	L	135	160	0	6	1	20	6.75	6	80	13.33
10	Amherst B	W	210	155	0	11	0	20	10.50	11	100	9.09


David Rubin	5	100	1	14	2	0.20	2.80	0.40	0.50	7.50	15%	145	29.00
Matt Pecoraro	4	80	0	19	2	0.00	4.75	0.50	0.00	9.50	24%	180	45.00
Nathaniel Miller	4	80	0	6	0	0.00	1.50	0.00	0.00	0.00	8%	60	15.00
Shreyas Raman	4	80	0	6	2	0.00	1.50	0.50	0.00	3.00	8%	50	12.50
Varun Sikand	5	100	2	17	6	0.40	3.40	1.20	0.33	3.17	19%	170	34.00
Zach Alvarez	5	100	0	5	0	0.00	1.00	0.00	0.00	0.00	5%	50	10.00