2022 SCT at MIT, Division II

February 5, 2022

These results are NAQT's property, provided for research purposes only, and are not to be posted elsewhere without NAQT's permission. Results may also be accessed on NAQT's website here.

Bates A


1	Northeastern A	L	175	385	1	7	2	22	7.95	8	100	12.50
2	Brown B	L	20	675	1	0	1	22	0.91	1	10	10.00
3	Yale B	L	50	530	0	3	2	22	2.27	3	30	10.00
4	Northeastern C	L	145	305	0	7	1	22	6.59	7	80	11.43
5	Northeastern B	W	140	120	0	7	0	22	6.36	7	70	10.00
6	Brown C	L	35	465	0	2	1	22	1.59	2	20	10.00
7	Vassar A	L	70	425	2	2	0	22	3.18	4	20	5.00
8	Vassar B	W	130	70	0	7	0	22	5.91	7	60	8.57
9	MIT A	L	140	320	0	7	0	22	6.36	7	70	10.00
10	Vassar C	L	130	295	1	6	1	22	5.91	7	60	8.57
11	Harvard C	L	30	390	0	2	0	22	1.36	2	10	5.00


Nick Pruitt	11	242	5	50	8	0.45	4.55	0.73	0.63	6.88	23%	535	48.64

Brown B


1	Northeastern B	W	610	45	8	10	2	22	27.73	18	400	22.22
2	Bates A	W	675	20	7	13	0	22	30.68	20	440	22.00
4	Yale B	L	135	600	3	1	2	22	6.14	4	90	22.50
5	Harvard C	L	345	465	6	3	1	22	15.68	9	230	25.56
6	Northeastern A	W	670	15	6	14	0	22	30.45	20	440	22.00
7	Northeastern C	W	460	145	8	5	4	22	20.91	13	310	23.85
8	MIT A	W	365	275	4	7	5	22	16.59	11	260	23.64
9	Vassar B	W	700	-20	8	12	0	22	31.82	20	460	23.00
10	Vassar A	W	545	125	7	9	2	22	24.77	16	360	22.50
11	Brown C	W	585	75	7	12	0	22	26.59	19	360	18.95


Cerulean Ozarow	10	220	18	29	8	1.80	2.90	0.80	2.25	5.88	21%	520	52.00
Ketan Pamurthy	10	220	30	28	6	3.00	2.80	0.60	5.00	9.67	26%	700	70.00
Louis Li	10	220	14	26	2	1.40	2.60	0.20	7.00	20.00	18%	460	46.00
Sameerah Munshi	10	220	2	3	0	0.20	0.30	0.00	0.00	0.00	2%	60	6.00

Brown C


1	Yale B	L	175	420	2	4	3	22	7.95	6	120	20.00
2	Harvard C	L	215	380	2	7	1	22	9.77	9	120	13.33
3	Northeastern A	W	290	260	2	10	2	22	13.18	12	170	14.17
4	Northeastern B	W	360	70	1	13	5	22	16.36	14	240	17.14
6	Bates A	W	465	35	3	12	4	22	21.14	15	320	21.33
7	MIT A	L	120	465	1	4	3	22	5.45	5	80	16.00
8	Northeastern C	W	245	165	0	9	3	22	11.14	9	170	18.89
9	Vassar A	L	210	340	3	6	1	22	9.55	9	110	12.22
10	Vassar B	W	325	-15	0	13	1	22	14.77	13	200	15.38
11	Brown B	L	75	585	1	2	0	22	3.41	3	40	13.33


Ariel Stein	10	220	4	10	6	0.40	1.00	0.60	0.67	2.33	6%	130	13.00
Christopher Pawul	10	220	0	14	2	0.00	1.40	0.20	0.00	7.00	6%	130	13.00
Grant Cooper	10	220	5	16	5	0.50	1.60	0.50	1.00	4.20	10%	210	21.00
Ian Rackow	10	220	6	40	10	0.60	4.00	1.00	0.60	4.60	21%	440	44.00

Harvard C


2	Brown C	W	380	215	3	9	1	22	17.27	12	250	20.83
3	Northeastern B	W	555	45	4	14	1	22	25.23	18	360	20.00
4	MIT A	L	300	385	3	6	3	22	13.64	9	210	23.33
5	Brown B	W	465	345	5	8	0	22	21.14	13	310	23.85
6	Yale B	L	220	495	3	5	1	22	10.00	8	130	16.25
7	Vassar B	W	420	55	7	6	3	22	19.09	13	270	20.77
8	Vassar A	W	500	105	3	12	3	22	22.73	15	350	23.33
9	Northeastern C	W	540	185	4	12	0	22	24.55	16	360	22.50
10	Northeastern A	W	470	125	8	7	4	22	21.36	15	300	20.00
11	Bates A	W	390	30	4	8	6	22	17.73	12	280	23.33


Annie Ruperto	10	220	1	11	2	0.10	1.10	0.20	0.50	6.00	5%	115	11.50
Arjun Nageswaran	10	220	39	62	17	3.90	6.20	1.70	2.29	5.94	46%	1120	112.00
Daniel Villani	10	220	0	5	0	0.00	0.50	0.00	0.00	0.00	2%	50	5.00
Danny Laughary	10	220	4	9	3	0.40	0.90	0.30	1.33	4.33	6%	135	13.50

MIT A


2	Northeastern B	W	495	60	8	8	3	22	22.50	16	310	19.38
3	Northeastern C	W	480	130	6	8	4	22	21.82	14	330	23.57
4	Harvard C	W	385	300	6	5	3	22	17.50	11	260	23.64
5	Northeastern A	W	480	60	4	11	2	22	21.82	15	320	21.33
7	Brown C	W	465	120	8	6	1	22	21.14	14	290	20.71
8	Brown B	L	275	365	2	7	3	22	12.50	9	190	21.11
9	Bates A	W	320	140	5	6	7	22	14.55	11	220	20.00
10	Yale B	L	165	520	1	5	2	22	7.50	6	110	18.33
11	Vassar C	W	415	100	7	8	2	22	18.86	15	240	16.00


Jonathan Huang	9	198	7	16	9	0.78	1.78	1.00	0.78	2.56	12%	220	24.44
Judson Lam	9	198	5	6	5	0.56	0.67	0.56	1.00	2.20	6%	110	12.22
Nathan Sheffield	9	198	32	25	9	3.56	2.78	1.00	3.56	6.33	29%	685	76.11
Ragulan Sivakumar	9	198	3	17	4	0.33	1.89	0.44	0.75	5.00	10%	195	21.67

Northeastern A


1	Bates A	W	385	175	2	10	1	22	17.50	12	260	21.67
3	Brown C	L	260	290	3	7	1	22	11.82	10	150	15.00
5	MIT A	L	60	480	1	2	1	22	2.73	3	30	10.00
6	Brown B	L	15	670	0	1	3	22	0.68	1	20	20.00
7	Vassar C	W	295	225	0	13	1	22	13.41	13	170	13.08
8	Yale B	L	60	665	1	1	3	22	2.73	2	50	25.00
9	Northeastern B	W	300	90	3	10	1	22	13.64	13	160	12.31
10	Harvard C	L	125	470	1	4	2	22	5.68	5	80	16.00
11	Northeastern C	W	250	210	3	6	1	22	11.36	9	150	16.67


Alan Zhang	9	198	3	13	8	0.33	1.44	0.89	0.38	2.00	8%	135	15.00
Derek Kaplan	9	198	3	10	4	0.33	1.11	0.44	0.75	3.25	7%	125	13.89
Isabelle Papa	9	198	7	24	1	0.78	2.67	0.11	7.00	31.00	16%	340	37.78
Kenny Nguyen	9	198	1	7	1	0.11	0.78	0.11	1.00	8.00	4%	80	8.89

Northeastern B


1	Brown B	L	45	610	0	2	1	22	2.05	2	30	15.00
2	MIT A	L	60	495	0	3	0	22	2.73	3	30	10.00
3	Harvard C	L	45	555	0	4	3	22	2.05	4	20	5.00
4	Brown C	L	70	360	0	4	0	22	3.18	4	30	7.50
5	Bates A	L	120	140	1	6	1	22	5.45	7	50	7.14
7	Yale B	L	105	530	2	4	1	22	4.77	6	40	6.67
8	Vassar C	L	40	270	0	2	0	22	1.82	2	20	10.00
9	Northeastern A	L	90	300	2	3	2	22	4.09	5	40	8.00
10	Northeastern C	L	120	295	0	5	0	22	5.45	5	70	14.00
11	Vassar A	L	95	465	1	3	0	22	4.32	4	50	12.50


Bridget Leary	7	154	3	5	0	0.43	0.71	0.00	0.00	0.00	5%	95	13.57
Connor Brown	8	176	0	8	5	0.00	1.00	0.63	0.00	1.60	5%	55	6.88
Hayes Zierden	9	198	0	13	3	0.00	1.44	0.33	0.00	4.33	7%	115	12.78
Mahira Farhin	8	176	1	3	0	0.13	0.38	0.00	0.00	0.00	2%	45	5.63
Suhaib Iqbal	8	176	2	7	0	0.25	0.88	0.00	0.00	0.00	5%	100	12.50

Northeastern C


2	Yale B	L	85	585	2	1	1	22	3.86	3	50	16.67
3	MIT A	L	130	480	0	6	4	22	5.91	6	90	15.00
4	Bates A	W	305	145	0	12	3	22	13.86	12	200	16.67
7	Brown B	L	145	460	2	4	1	22	6.59	6	80	13.33
8	Brown C	L	165	245	1	6	2	22	7.50	7	100	14.29
9	Harvard C	L	185	540	1	5	0	22	8.41	6	120	20.00
10	Northeastern B	W	295	120	3	9	2	22	13.41	12	170	14.17
11	Northeastern A	L	210	250	1	8	1	22	9.55	9	120	13.33


Dylan Black	8	176	0	8	4	0.00	1.00	0.50	0.00	2.00	5%	60	7.50
Eric Nichols	8	176	2	4	2	0.25	0.50	0.25	1.00	3.00	3%	60	7.50
Nicholas Miklaucic	8	176	8	39	8	1.00	4.88	1.00	1.00	5.88	27%	470	58.75

Vassar A


7	Bates A	W	425	70	5	8	2	22	19.32	13	280	21.54
8	Harvard C	L	105	500	0	3	1	22	4.77	3	80	26.67
9	Brown C	W	340	210	2	9	2	22	15.45	11	230	20.91
10	Brown B	L	125	545	1	3	0	22	5.68	4	80	20.00
11	Northeastern B	W	465	95	4	12	1	22	21.14	16	290	18.13


Chauncey Lo	5	110	9	28	4	1.80	5.60	0.80	2.25	9.25	34%	395	79.00
Griffin Trayner	5	110	2	4	2	0.40	0.80	0.40	1.00	3.00	5%	60	12.00
Jack Rogers	5	110	1	0	0	0.20	0.00	0.00	0.00	0.00	1%	15	3.00
Mara Russell	5	110	0	3	0	0.00	0.60	0.00	0.00	0.00	3%	30	6.00

Vassar B


7	Harvard C	L	55	420	0	4	3	22	2.50	4	30	7.50
8	Bates A	L	70	130	0	4	4	22	3.18	4	50	12.50
9	Brown B	L	-20	700	0	0	4	22	-0.91	0	0	0.00
10	Brown C	L	-15	325	0	1	7	22	-0.68	1	10	10.00
11	Yale B	L	90	595	1	3	1	22	4.09	4	50	12.50


Madeline Dean	5	110	1	9	18	0.20	1.80	3.60	0.06	0.56	9%	15	3.00
Peter Nydam	5	110	0	2	1	0.00	0.40	0.20	0.00	2.00	2%	15	3.00
Sufana Noorwez	5	110	0	1	0	0.00	0.20	0.00	0.00	0.00	1%	10	2.00

Vassar C


7	Northeastern A	L	225	295	1	7	0	22	10.23	8	140	17.50
8	Northeastern B	W	270	40	1	10	1	22	12.27	11	160	14.55
9	Yale B	L	140	460	1	5	1	22	6.36	6	80	13.33
10	Bates A	W	295	130	1	11	0	22	13.41	12	170	14.17
11	MIT A	L	100	415	2	2	0	22	4.55	4	50	12.50


Eve Andersen	5	110	0	0	0	0.00	0.00	0.00	0.00	0.00	0%	0	0.00
Jessica Fleischer	5	110	5	17	0	1.00	3.40	0.00	0.00	0.00	20%	245	49.00
Margaret Ryan-Byrne	5	110	0	5	1	0.00	1.00	0.20	0.00	5.00	5%	45	9.00
Tom Doyle	5	110	1	13	1	0.20	2.60	0.20	1.00	14.00	13%	140	28.00

Yale B


1	Brown C	W	420	175	6	6	4	22	19.09	12	290	24.17
2	Northeastern C	W	585	85	7	9	2	22	26.59	16	400	25.00
3	Bates A	W	530	50	8	7	6	22	24.09	15	370	24.67
4	Brown B	W	600	135	7	9	1	22	27.27	16	410	25.63
6	Harvard C	W	495	220	4	10	3	22	22.50	14	350	25.00
7	Northeastern B	W	530	105	8	7	4	22	24.09	15	360	24.00
8	Northeastern A	W	665	60	6	12	3	22	30.23	18	470	26.11
9	Vassar C	W	460	140	5	9	7	22	20.91	14	330	23.57
10	MIT A	W	520	165	6	9	4	22	23.64	15	360	24.00
11	Vassar B	W	595	90	8	10	3	22	27.05	18	390	21.67


Arthur Delot-Vilain	10	220	32	34	16	3.20	3.40	1.60	2.00	4.13	30%	740	74.00
Jordan Davidsen	10	220	4	7	6	0.40	0.70	0.60	0.67	1.83	5%	100	10.00
Matt Pecoraro	10	220	2	7	0	0.20	0.70	0.00	0.00	0.00	4%	100	10.00
Matthew Siff	10	220	27	40	15	2.70	4.00	1.50	1.80	4.47	30%	730	73.00