2022 MRNA VACCINE at McMaster

March 12, 2022

McGill A


1	Toronto BioNTech	W	420	140	7	7	1	20	21.00	14	250	17.86
2	Toronto Moderna	W	290	230	2	9	4	20	14.50	11	190	17.27
3	Waterloo	W	300	200	3	8	3	20	15.00	11	190	17.27
4	UBC	W	325	200	1	10	2	20	16.25	11	220	20.00
5	McMaster	W	375	70	2	12	3	20	18.75	14	240	17.14
6	Toronto Pfizer	W	290	280	3	8	3	20	14.50	11	180	16.36
7	McGill B	W	390	120	4	9	2	20	19.50	13	250	19.23
8	Toronto Moderna	L	175	375	4	3	5	20	8.75	7	110	15.71
9	UBC	W	300	235	4	8	4	20	15.00	12	180	15.00
10	Toronto Pfizer	W	440	130	7	8	1	20	22.00	15	260	17.33


Cormac Beirne	10	200	20	31	14	2.00	3.10	1.40	1.43	3.64	26%	540	54.00
Devan Greevy	10	200	4	19	4	0.40	1.90	0.40	1.00	5.75	12%	230	23.00
Kais Jessa	10	200	9	16	1	0.90	1.60	0.10	9.00	25.00	13%	290	29.00
Minh-Tuan Phung	10	200	4	16	9	0.40	1.60	0.90	0.44	2.22	10%	175	17.50

McGill B


1	UBC	L	165	400	3	3	4	20	8.25	6	110	18.33
2	Waterloo	L	205	265	1	8	2	20	10.25	9	120	13.33
3	McMaster	W	405	85	0	14	1	20	20.25	14	270	19.29
4	Toronto Pfizer	L	255	260	2	8	1	20	12.75	10	150	15.00
5	Toronto BioNTech	L	190	270	1	6	1	20	9.50	7	120	17.14
6	Toronto Moderna	W	325	135	7	6	2	20	16.25	13	170	13.08
7	McGill A	L	120	390	2	4	2	20	6.00	6	60	10.00
8	Toronto BioNTech	W	285	145	1	10	4	20	14.25	11	190	17.27
9	Waterloo	W	230	180	1	8	1	20	11.50	9	140	15.56
10	McMaster	W	345	135	1	13	0	20	17.25	14	200	14.29


Kevin Fan	10	200	16	61	12	1.60	6.10	1.20	1.33	6.42	39%	790	79.00
Nadia Dakdouki	10	200	3	7	1	0.30	0.70	0.10	3.00	10.00	5%	110	11.00
Nicolas Edwards	10	200	0	12	5	0.00	1.20	0.50	0.00	2.40	6%	95	9.50

McMaster A


1	Toronto Moderna	L	45	515	2	1	5	20	2.25	3	30	10.00
2	Toronto BioNTech	L	90	270	1	5	5	20	4.50	6	50	8.33
3	McGill B	L	85	405	1	4	6	20	4.25	5	60	12.00
4	Waterloo	L	165	280	2	5	5	20	8.25	7	110	15.71
5	McGill A	L	70	375	2	2	4	20	3.50	4	40	10.00
6	UBC	L	195	260	3	5	4	20	9.75	8	120	15.00
7	Toronto Pfizer	L	215	335	3	6	4	20	10.75	9	130	14.44
8	Waterloo	L	160	215	1	7	3	20	8.00	8	90	11.25
9	Toronto BioNTech	L	130	290	1	5	5	20	6.50	6	90	15.00
10	McGill B	L	135	345	1	5	0	20	6.75	6	70	11.67


Jananan Arulseelan	8	160	8	11	22	1.00	1.38	2.75	0.36	0.86	12%	120	15.00
Kane Nguyen	6	120	4	23	11	0.67	3.83	1.83	0.36	2.45	23%	235	39.17
Tomas Jakovac	7	140	5	11	8	0.71	1.57	1.14	0.63	2.00	11%	145	20.71

Toronto BioNTech


1	McGill A	L	140	420	2	4	2	20	7.00	6	80	13.33
2	McMaster	W	270	90	1	11	3	20	13.50	12	160	13.33
3	Toronto Pfizer	L	165	350	2	5	3	20	8.25	7	100	14.29
4	Toronto Moderna	L	120	430	2	3	4	20	6.00	5	80	16.00
5	McGill B	W	270	190	2	9	6	20	13.50	11	180	16.36
6	Waterloo	L	130	275	1	6	3	20	6.50	7	70	10.00
7	UBC	L	220	320	1	8	1	20	11.00	9	130	14.44
8	McGill B	L	145	285	1	6	2	20	7.25	7	80	11.43
9	McMaster	W	290	130	2	10	2	20	14.50	12	170	14.17
10	Waterloo	L	165	210	4	4	5	20	8.25	8	90	11.25


Cole Franklin	10	200	4	15	2	0.40	1.50	0.20	2.00	9.50	10%	200	20.00
Joey Sun	10	200	3	15	9	0.30	1.50	0.90	0.33	2.00	9%	150	15.00
Parth Jagtap	10	200	10	30	11	1.00	3.00	1.10	0.91	3.64	20%	395	39.50
Wilson Sy	10	200	1	6	9	0.10	0.60	0.90	0.11	0.78	4%	30	3.00

Toronto Moderna


1	McMaster	W	515	45	3	14	0	20	25.75	17	330	19.41
2	McGill A	L	230	290	3	6	3	20	11.50	9	140	15.56
3	UBC	W	315	240	3	7	4	20	15.75	10	220	22.00
4	Toronto BioNTech	W	430	120	2	13	2	20	21.50	15	280	18.67
5	Toronto Pfizer	L	255	300	3	6	4	20	12.75	9	170	18.89
6	McGill B	L	135	325	1	4	4	20	6.75	5	100	20.00
7	Waterloo	W	315	160	2	10	3	20	15.75	12	200	16.67
8	McGill A	W	375	175	1	12	2	20	18.75	13	250	19.23
9	Toronto Pfizer	W	465	115	3	13	0	20	23.25	16	290	18.13
10	UBC	W	295	240	2	9	1	20	14.75	11	180	16.36


Benjamin Chapman	10	200	12	35	9	1.20	3.50	0.90	1.33	5.22	24%	485	48.50
Frank Qiao	10	200	4	7	3	0.40	0.70	0.30	1.33	3.67	6%	115	11.50
Ian Chow	10	200	6	46	10	0.60	4.60	1.00	0.60	5.20	26%	500	50.00
Martin Profant	6	120	1	6	1	0.17	1.00	0.17	1.00	7.00	6%	70	11.67

Toronto Pfizer


1	Waterloo	W	295	180	5	7	0	20	14.75	12	150	12.50
2	UBC	W	310	225	3	8	1	20	15.50	11	190	17.27
3	Toronto BioNTech	W	350	165	4	8	2	20	17.50	12	220	18.33
4	McGill B	W	260	255	2	8	2	20	13.00	10	160	16.00
5	Toronto Moderna	W	300	255	2	8	0	20	15.00	10	190	19.00
6	McGill A	L	280	290	5	5	1	20	14.00	10	160	16.00
7	McMaster	W	335	215	1	10	4	20	16.75	11	240	21.82
8	UBC	W	285	240	3	7	4	20	14.25	10	190	19.00
9	Toronto Moderna	L	115	465	1	3	4	20	5.75	4	90	22.50
10	McGill A	L	130	440	0	5	4	20	6.50	5	100	20.00


Jesse Ward-Bond	10	200	0	1	1	0.00	0.10	0.10	0.00	1.00	1%	5	0.50
Raymond Chen	10	200	15	21	7	1.50	2.10	0.70	2.14	5.14	18%	400	40.00
Sky Li	10	200	11	47	14	1.10	4.70	1.40	0.79	4.14	29%	565	56.50

UBC A


1	McGill B	W	400	165	4	10	0	20	20.00	14	240	17.14
2	Toronto Pfizer	L	225	310	3	5	2	20	11.25	8	140	17.50
3	Toronto Moderna	L	240	315	2	7	0	20	12.00	9	140	15.56
4	McGill A	L	200	325	1	8	7	20	10.00	9	140	15.56
5	Waterloo	W	260	235	2	8	4	20	13.00	10	170	17.00
6	McMaster	W	260	195	1	10	1	20	13.00	11	150	13.64
7	Toronto BioNTech	W	320	220	1	10	3	20	16.00	11	220	20.00
8	Toronto Pfizer	L	240	285	3	6	5	20	12.00	9	160	17.78
9	McGill A	L	235	300	2	6	1	20	11.75	8	150	18.75
10	Toronto Moderna	L	240	295	1	8	1	20	12.00	9	150	16.67


Max Gedajlovic	10	200	6	29	12	0.60	2.90	1.20	0.50	2.92	18%	320	32.00
Russell Nip	10	200	0	8	3	0.00	0.80	0.30	0.00	2.67	4%	65	6.50
Sam Hauer	10	200	14	41	9	1.40	4.10	0.90	1.56	6.11	28%	575	57.50

Waterloo A


1	Toronto Pfizer	L	180	295	1	7	1	20	9.00	8	100	12.50
2	McGill B	W	265	205	4	6	1	20	13.25	10	150	15.00
3	McGill A	L	200	300	0	9	0	20	10.00	9	110	12.22
4	McMaster	W	280	165	0	11	2	20	14.00	11	180	16.36
5	UBC	L	235	260	0	9	1	20	11.75	9	150	16.67
6	Toronto BioNTech	W	275	130	2	10	1	20	13.75	12	150	12.50
7	Toronto Moderna	L	160	315	0	7	0	20	8.00	7	90	12.86
8	McMaster	W	215	160	3	6	2	20	10.75	9	120	13.33
9	McGill B	L	180	230	1	8	3	20	9.00	9	100	11.11
10	Toronto BioNTech	W	210	165	0	10	0	20	10.50	10	110	11.00


James Ah Yong	10	200	1	15	4	0.10	1.50	0.40	0.25	4.00	8%	145	14.50
Liam Kusalik	10	200	8	42	5	0.80	4.20	0.50	1.60	10.00	25%	515	51.50
Tim He	9	180	2	26	2	0.22	2.89	0.22	1.00	14.00	16%	280	31.11