2016 EFT at Maryland

October 8, 2016

Georgia Tech A


1	Maryland B	L	205	295	5	2	0	20	10.25	7	110	15.71
2	Maryland A	L	155	575	1	4	0	20	7.75	5	100	20.00
3	Johns Hopkins B	L	175	200	2	5	3	20	8.75	7	110	15.71
4	Maryland D	L	170	330	1	6	1	20	8.50	7	100	14.29
5	Johns Hopkins A	L	85	450	2	2	1	20	4.25	4	40	10.00
6	Gettysburg A	W	215	200	5	4	2	20	10.75	9	110	12.22
7	Maryland C	L	130	430	1	4	1	20	6.50	5	80	16.00
8	Johns Hopkins B	W	285	200	2	8	1	20	14.25	10	180	18.00
9	Gettysburg A	W	290	250	3	8	1	20	14.50	11	170	15.45
10	Maryland D	L	225	240	3	7	0	20	11.25	10	110	11.00
11	Johns Hopkins B	W	195	150	1	7	2	20	9.75	8	120	15.00
12	Gettysburg A	L	235	280	4	5	1	20	11.75	9	130	14.44
13	Maryland D	W	220	215	2	7	0	20	11.00	9	120	13.33


Naveed Chowdhury	13	260	32	69	13	2.46	5.31	1.00	2.46	7.77	39%	1105	85.00

Gettysburg A


1	Maryland C	L	220	270	2	7	2	20	11.00	9	130	14.44
2	Maryland B	L	210	335	2	7	2	20	10.50	9	120	13.33
3	Johns Hopkins A	L	180	375	3	4	3	20	9.00	7	110	15.71
4	Johns Hopkins B	W	365	135	3	11	0	20	18.25	14	210	15.00
5	Maryland A	L	90	595	0	4	0	20	4.50	4	50	12.50
6	Georgia Tech A	L	200	215	3	5	3	20	10.00	8	120	15.00
7	Maryland D	W	365	160	2	11	1	20	18.25	13	230	17.69
8	Maryland D	L	170	260	0	8	4	20	8.50	8	110	13.75
9	Georgia Tech A	L	250	290	1	8	3	20	12.50	9	170	18.89
10	Johns Hopkins B	W	320	190	3	8	1	20	16.00	11	200	18.18
11	Maryland D	L	210	225	2	8	2	20	10.50	10	110	11.00
12	Georgia Tech A	W	280	235	1	9	3	20	14.00	10	190	19.00
13	Johns Hopkins B	W	335	125	4	7	1	20	16.75	11	210	19.09


Alex Xie	13	260	0	0	0	0.00	0.00	0.00	0.00	0.00	0%	0	0.00
Danny Greenblatt	13	260	1	14	10	0.08	1.08	0.77	0.10	1.50	6%	105	8.08
Ryan Bilger	13	260	21	72	10	1.62	5.54	0.77	2.10	9.30	36%	985	75.77
Zach Wesley	13	260	4	11	5	0.31	0.85	0.38	0.80	3.00	6%	145	11.15

Johns Hopkins A


1	Maryland A	L	265	450	3	5	0	20	13.25	8	170	21.25
2	Maryland D	W	360	220	3	8	3	20	18.00	11	250	22.73
3	Gettysburg A	W	375	180	3	9	4	20	18.75	12	260	21.67
4	Maryland B	L	260	285	0	9	2	20	13.00	9	180	20.00
5	Georgia Tech A	W	450	85	6	10	0	20	22.50	16	260	16.25
6	Maryland C	W	325	240	5	6	2	20	16.25	11	200	18.18
7	Johns Hopkins B	W	410	130	6	7	4	20	20.50	13	270	20.77
8	Maryland C	W	290	200	3	7	3	20	14.50	10	190	19.00
9	Maryland A	L	185	505	3	3	0	20	9.25	6	110	18.33
10	Maryland B	L	255	290	2	8	1	20	12.75	10	150	15.00
11	Maryland C	W	260	210	2	7	8	20	13.00	9	200	22.22
12	Maryland A	L	55	595	2	0	1	20	2.75	2	30	15.00
13	Maryland B	L	265	320	4	5	3	20	13.25	9	170	18.89


Eric Bobrow	13	260	25	37	14	1.92	2.85	1.08	1.79	4.43	24%	675	51.92
Forrest Hammel	13	260	8	21	6	0.62	1.62	0.46	1.33	4.83	11%	300	23.08
Walter Zhao	13	260	9	23	11	0.69	1.77	0.85	0.82	2.91	12%	310	23.85
Wenzer Qin	13	260	0	3	0	0.00	0.23	0.00	0.00	0.00	1%	30	2.31

Johns Hopkins B


1	Maryland D	L	170	315	0	8	0	20	8.50	8	90	11.25
2	Maryland C	L	225	245	1	7	0	20	11.25	8	140	17.50
3	Georgia Tech A	W	200	175	2	9	0	20	10.00	11	80	7.27
4	Gettysburg A	L	135	365	2	4	1	20	6.75	6	70	11.67
5	Maryland B	L	110	405	0	5	2	20	5.50	5	70	14.00
6	Maryland A	L	45	700	1	1	0	20	2.25	2	20	10.00
7	Johns Hopkins A	L	130	410	1	4	1	20	6.50	5	80	16.00
8	Georgia Tech A	L	200	285	1	7	1	20	10.00	8	120	15.00
9	Maryland D	L	195	355	0	8	1	20	9.75	8	120	15.00
10	Gettysburg A	L	190	320	3	5	1	20	9.50	8	100	12.50
11	Georgia Tech A	L	150	195	0	8	2	20	7.50	8	80	10.00
12	Maryland D	L	125	245	0	6	1	20	6.25	6	70	11.67
13	Gettysburg A	L	125	335	2	5	1	20	6.25	7	50	7.14


Audrey Chang	13	260	3	12	1	0.23	0.92	0.08	3.00	15.00	6%	160	12.31
Bibhav Poudel	13	260	4	31	8	0.31	2.38	0.62	0.50	4.38	13%	330	25.38
Michael Shang	13	260	6	34	2	0.46	2.62	0.15	3.00	20.00	15%	420	32.31

Maryland A


1	Johns Hopkins A	W	450	265	6	6	4	20	22.50	12	320	26.67
2	Georgia Tech A	W	575	155	10	5	3	20	28.75	15	390	26.00
3	Maryland D	W	425	220	8	3	1	20	21.25	11	280	25.45
4	Maryland C	W	580	85	11	5	3	20	29.00	16	380	23.75
5	Gettysburg A	W	595	90	10	6	3	20	29.75	16	400	25.00
6	Johns Hopkins B	W	700	45	15	3	1	20	35.00	18	450	25.00
7	Maryland B	W	540	130	7	8	3	20	27.00	15	370	24.67
8	Maryland B	W	605	60	11	6	2	20	30.25	17	390	22.94
9	Johns Hopkins A	W	505	185	8	6	3	20	25.25	14	340	24.29
10	Maryland C	W	710	15	12	7	0	20	35.50	19	460	24.21
11	Maryland B	W	580	105	13	3	3	20	29.00	16	370	23.13
12	Johns Hopkins A	W	595	55	10	7	1	20	29.75	17	380	22.35
13	Maryland C	W	540	95	11	3	5	20	27.00	14	370	26.43


Jordan Brownstein	13	260	98	39	16	7.54	3.00	1.23	6.13	8.56	53%	1780	136.92
Sam Rombro	13	260	11	15	8	0.85	1.15	0.62	1.38	3.25	10%	275	21.15
Tanay Wakhare	13	260	6	9	5	0.46	0.69	0.38	1.20	3.00	6%	155	11.92
Weijia Cheng	13	260	17	5	3	1.31	0.38	0.23	5.67	7.33	8%	290	22.31

Maryland B


1	Georgia Tech A	W	295	205	2	10	1	20	14.75	12	170	14.17
2	Gettysburg A	W	335	210	1	10	0	20	16.75	11	220	20.00
3	Maryland C	W	345	175	3	9	2	20	17.25	12	220	18.33
4	Johns Hopkins A	W	285	260	3	8	0	20	14.25	11	160	14.55
5	Johns Hopkins B	W	405	110	6	8	1	20	20.25	14	240	17.14
6	Maryland D	W	315	155	3	9	2	20	15.75	12	190	15.83
7	Maryland A	L	130	540	0	5	2	20	6.50	5	90	18.00
8	Maryland A	L	60	605	1	1	1	20	3.00	2	40	20.00
9	Maryland C	W	305	225	2	10	3	20	15.25	12	190	15.83
10	Johns Hopkins A	W	290	255	4	6	2	20	14.50	10	180	18.00
11	Maryland A	L	105	580	1	2	0	20	5.25	3	70	23.33
12	Maryland C	W	390	155	3	11	1	20	19.50	14	240	17.14
13	Johns Hopkins A	W	320	265	1	10	1	20	16.00	11	210	19.09


Ani Perumalla	13	260	13	36	10	1.00	2.77	0.77	1.30	4.90	19%	505	38.85
Jason Shi	13	260	3	6	2	0.23	0.46	0.15	1.50	4.50	3%	95	7.31
Justin Hawkins	13	260	4	40	4	0.31	3.08	0.31	1.00	11.00	17%	440	33.85
Will Kunkel	13	260	10	17	0	0.77	1.31	0.00	0.00	0.00	10%	320	24.62

Maryland C


1	Gettysburg A	W	270	220	1	10	1	20	13.50	11	160	14.55
2	Johns Hopkins B	W	245	225	2	7	3	20	12.25	9	160	17.78
3	Maryland B	L	175	345	1	6	2	20	8.75	7	110	15.71
4	Maryland A	L	85	580	0	4	1	20	4.25	4	50	12.50
5	Maryland D	W	300	195	2	11	0	20	15.00	13	160	12.31
6	Johns Hopkins A	L	240	325	4	5	2	20	12.00	9	140	15.56
7	Georgia Tech A	W	430	130	4	11	2	20	21.50	15	270	18.00
8	Johns Hopkins A	L	200	290	3	5	1	20	10.00	8	110	13.75
9	Maryland B	L	225	305	1	7	2	20	11.25	8	150	18.75
10	Maryland A	L	15	710	0	1	1	20	0.75	1	10	10.00
11	Johns Hopkins A	L	210	260	0	10	2	20	10.50	10	120	12.00
12	Maryland B	L	155	390	1	4	2	20	7.75	5	110	22.00
13	Maryland A	L	95	540	1	3	0	20	4.75	4	50	12.50


Anders Alilo	13	260	2	1	1	0.15	0.08	0.08	2.00	3.00	1%	35	2.69
Dash Yeatts-Lonske	13	260	8	28	8	0.62	2.15	0.62	1.00	4.50	14%	360	27.69
Vivien Zhu	13	260	2	7	1	0.15	0.54	0.08	2.00	9.00	3%	95	7.31
Yu Lu	13	260	8	48	9	0.62	3.69	0.69	0.89	6.22	22%	555	42.69

Maryland D


1	Johns Hopkins B	W	315	170	2	10	3	20	15.75	12	200	16.67
2	Johns Hopkins A	L	220	360	2	6	2	20	11.00	8	140	17.50
3	Maryland A	L	220	425	3	5	1	20	11.00	8	130	16.25
4	Georgia Tech A	W	330	170	3	10	1	20	16.50	13	190	14.62
5	Maryland C	L	195	300	2	5	3	20	9.75	7	130	18.57
6	Maryland B	L	155	315	0	7	5	20	7.75	7	110	15.71
7	Gettysburg A	L	160	365	0	7	2	20	8.00	7	100	14.29
8	Gettysburg A	W	260	170	2	8	2	20	13.00	10	160	16.00
9	Johns Hopkins B	W	355	195	1	11	0	20	17.75	12	230	19.17
10	Georgia Tech A	W	240	225	3	7	1	20	12.00	10	130	13.00
11	Gettysburg A	W	225	210	1	8	2	20	11.25	9	140	15.56
12	Johns Hopkins B	W	245	125	1	10	4	20	12.25	11	150	13.64
13	Georgia Tech A	L	215	220	0	9	5	20	10.75	9	150	16.67


Emma Stevens	13	260	12	43	8	0.92	3.31	0.62	1.50	6.88	21%	570	43.85
Jack Nolan	13	260	4	27	6	0.31	2.08	0.46	0.67	5.17	12%	300	23.08
Sarang Yeola	13	260	3	28	13	0.23	2.15	1.00	0.23	2.38	12%	260	20.00
Shayan Sadegh	7	140	1	5	4	0.14	0.71	0.57	0.25	1.50	4%	45	6.43