2018 SCT at Waterloo, Division II

February 3, 2018

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.


McGill B

1Toronto EW3202105532214.551021021.00
2Toronto DW4252255842219.321329022.31
3Toronto CW4801857932221.821630018.75
4Toronto BW4653106712221.141331023.85
5Waterloo AW5255041432223.861834018.89
6McMaster AW49514031322222.501633020.63
7McGill CW56010551112225.451638023.75
8McMaster AW4601658522220.911330023.08
9Toronto CW4101756842218.641426018.57
10Toronto BL3104104542214.09922024.44
11McMaster AW5351508812224.321634021.25
12Toronto CL2453302612211.14816020.00
13Toronto BL2254803422210.23715021.43

Austen Friesacher132862327101.772.080.772.305.0017%56543.46
Gareth Adamson1328661410.461.080.086.0020.007%22517.31
Henry Atkins132862843112.153.310.852.556.4525%79561.15
Nikko Ong1328691990.691.460.691.003.1110%28021.54


McGill C

1Toronto DL120390244225.4567011.67
2Toronto EW22518001132210.231113011.82
3Toronto BL2754254612212.501016016.00
4Toronto CL29031501202213.181217014.17
5McMaster AL140325070226.3677010.00
6Waterloo AW195145081228.86812015.00
7McGill BL105560051224.7756012.00
8Toronto EW2852704732212.951117015.45
9Toronto DL105385142224.7756012.00
10Waterloo AL160220072227.27710014.29
11Toronto EL2452903502211.14815018.75
12Toronto DL145190152226.5969015.00
13Waterloo AW225802992210.231115013.64

Jonathan Ong1328653590.382.690.690.564.4414%38029.23
Magda Mroz132861046130.773.541.000.774.3120%54541.92
Sam Zhou132862960.150.690.460.331.834%906.92


McMaster A

1Toronto CL2903354602213.181017017.00
2Toronto BL175410251227.95710014.29
3Toronto EW4151854812218.861228023.33
4Toronto DL2302902642210.45816020.00
5McGill CW32514011122214.771221017.50
6McGill BL140495141226.3659018.00
7Waterloo AW34015521002215.451221017.50
8McGill BL165460332227.50610016.67
9Toronto BL215465433229.77714020.00
10Toronto CL200335444229.09812015.00
11McGill BL150535232226.82510020.00
12Toronto BL155480320227.0559018.00
13Toronto CL100320315224.5547017.50

Emmet Neheli1328691840.691.380.312.256.759%29522.69
Jacob132864330.310.230.231.332.332%755.77
Jonah Halili132861113100.851.000.771.102.408%24518.85
Peter Cordeiro13286113280.852.460.621.385.3815%44534.23


Toronto B

1Waterloo AW53015051132224.091636022.50
2McMaster AW41017521042218.641230025.00
3McGill CW4252758432219.321228023.33
4McGill BL3104655432214.09921023.33
5Toronto EW6504051412229.551944023.16
6Toronto DW59513051222227.051741024.12
7Toronto CW4652106712221.141331023.85
8Toronto CW4952106812222.501433023.57
9McMaster AW4652157702221.141429020.71
10McGill BW4103105732218.641228023.33
11Toronto CW46523541032221.141432022.86
12McMaster AW48015541122221.821532021.33
13McGill BW4802254922221.821334026.15

Chris Sims13286203471.542.620.542.867.7119%60546.54
Paul Kasinski132861831151.382.381.151.203.2717%50538.85
Raymond Chen1328672130.541.620.232.339.3310%30023.08
Zhenglin Liu13286212831.622.150.237.0016.3317%58044.62


Toronto C

1McMaster AW3352903702215.231022022.00
2Waterloo AW3251503922214.771220016.67
3McGill BL185480241228.41612020.00
4McGill CW3152903702214.321020020.00
5Toronto DW3501505712215.911221017.50
6Toronto EW2652101922212.051017017.00
7Toronto BL210465260229.55812015.00
8Toronto BL210495420229.55613021.67
9McGill BL175410251227.95710014.29
10McMaster AW3352003922215.231221017.50
11Toronto BL2354652612210.68815018.75
12McGill BW3302457412215.001119017.27
13McMaster AW3201004802214.551218015.00

Lucas Grande13286122720.922.080.156.0019.5014%44033.85
Sam Hauer13286203181.542.380.622.506.3818%57043.85
Simone Valade1328692510.691.920.089.0034.0012%38029.23


Toronto D

1McGill CW39012041002217.731423016.43
2McGill BL2254253602210.23912013.33
3Waterloo AW225952832210.231013013.00
4McMaster AW29023011132213.181218015.00
5Toronto CL150350254226.8279012.86
6Toronto BL130595230225.9157014.00
7Toronto EL2202253532210.00814017.50
8Waterloo AW4556041012220.681430021.43
9McGill CW38510541012217.501423016.43
10Toronto EL185195172228.41811013.75
11Waterloo AW2501603832211.361114012.73
12McGill CW190145082228.64812015.00
13Toronto EL130175155225.9169015.00

Joshua Lane132861446161.083.541.230.883.7521%59045.38
Milan Fernandez1328651650.381.230.381.004.207%21016.15
Spandan Sengupta13286113460.852.620.461.837.5016%47536.54


Toronto E

1McGill BL210320181229.55912013.33
2McGill CL180225367228.18911012.22
3McMaster AL185415364228.41910011.11
4Waterloo AW40011521122218.181327020.77
5Toronto BL40650034221.8233010.00
6Toronto CL210265365229.55913014.44
7Toronto DW2252203622210.23913014.44
8McGill CL2702855432212.27917018.89
9Waterloo AW200175262229.09812015.00
10Toronto DW195185277228.86913014.44
11McGill CW2902455632213.181117015.45
12Waterloo AW27519521132212.501315011.54
13Toronto DW175130194227.9510909.00

Luc Foster132861341231.003.151.770.572.3519%49037.69
Uzair Chudhary13286618110.461.380.850.552.188%21516.54
Wentao Cui132861330131.002.311.001.003.3115%43033.08


Waterloo A

1Toronto BL150530232226.82510020.00
2Toronto CL150325430226.827608.57
3Toronto DL95225144224.3256012.00
4Toronto EL115400344225.237507.14
5McGill BL50525121222.273206.67
6McGill CL145195172226.598708.75
7McMaster AL155340152227.05610016.67
8Toronto DL60455123222.7334013.33
9Toronto EL175200251227.95710014.29
10McGill CW2201601912210.001012012.00
11Toronto DL160250161227.2779012.86
12Toronto EL195275253228.86713018.57
13McGill CL80225050223.645306.00

Lauren Hankins132861450.080.310.380.201.002%302.31
Luke Scollard1124281090.730.910.820.892.007%17515.91
Zach Bernstein132861146100.853.540.771.105.7020%57544.23