MWT at Waterloo

January 11, 2020


Columbia G

1Toronto AL2702954722212.271115013.64
2Waterloo BW2402251912310.431014014.00
3McMaster AW30512511222213.861318013.85
4Waterloo AL2452553742211.141015015.00
5Conrad GrebelW32520521012214.771220016.67
6McGill BW31521521012214.321219015.83
7McGill AL2302601832210.45915016.67
8Toronto EL100420054224.5557014.00
9Toronto DW26521511022212.051116014.55
10Toronto CW30020031002213.641315511.92
11Toronto BL115390065225.2368013.33

Gareth Thorlakson112201894251.648.552.270.724.4851%108598.64


Conrad Grebel

1Toronto BL2203604542210.00913014.44
2Toronto AL140405151226.3668013.33
3Waterloo BW32014021322214.551517011.33
4McMaster AW28510041032212.951414010.00
5Columbia GL205325263229.32813016.25
6Waterloo AL150320072226.8279012.86
7McGill BL100435050224.5555010.00
8McGill AL185295271228.4199010.00
9Toronto EL120405143225.4558016.00
10Toronto DL210295080229.55813016.25
11Toronto CL189295171228.59810913.63

Amy Wang11220439130.363.551.180.313.3120%38535.00
Marcell Maitinsky11220133871.183.450.641.867.2923%54049.09


McGill A

1Toronto DW28525501112212.951118016.36
2Toronto CL125405154225.6868013.33
3Toronto BL210270270229.55911012.22
4Toronto AL2503302722211.36916017.78
5Waterloo BL200335084229.09814017.50
6McMaster AW4702021542221.361731018.24
7Columbia GW2602303632211.82917018.89
8Conrad GrebelW2951852932213.411119017.27
9McGill BL2552652832211.591016016.00
10Waterloo AW36014031102216.361420514.64
11Toronto EL2252651822210.23914015.56

Akhil Garg1020084260.804.200.601.338.3325%51051.00
Allan Wei71400300.000.430.000.000.002%304.29
Hannah Billings81602110.250.130.132.003.002%354.38
Minh-Tuan Phung9180325140.332.781.560.212.0016%22525.00
Simone Valade1020052450.502.400.501.005.8015%29029.00


McGill B

1Toronto CL200390252229.09713018.57
2Toronto BL195350164228.86714020.00
3Toronto AL3003652822213.641020020.00
4Waterloo BW2702303732212.271017017.00
5McMaster AW37010021242216.821424017.14
6Columbia GL215315073229.77716022.86
7Conrad GrebelW4351005922219.771428020.00
8Waterloo AW43510551022219.771527018.00
9McGill AW2652554612212.051015015.00
10Toronto EL2353203722210.681013013.00
11Toronto DW41510041152218.861527018.00

Kevin Fan11220721110.641.911.000.642.5513%26023.64
Minh-Huy Phung112201330151.182.731.360.872.8720%42038.18
Sheena Li1122062620.552.360.183.0016.0015%34030.91
Timothy Kwan1122051120.451.000.182.508.007%17515.91


McMaster A

1Waterloo BL120315074225.4577010.00
2Waterloo AL65385134222.9544010.00
3Columbia GL125305063225.6868013.33
4Conrad GrebelL100285062224.556508.33
5McGill BL100370153224.556508.33
6McGill AL20470024220.9122010.00
7Toronto EL90385131224.0945012.50
8Toronto DL155285253227.0579012.86
9Toronto CL90465311224.0944010.00
10Toronto BL-541500122-0.23000.00
11Toronto AL115385152225.2366010.00

Mohammed Jalloh112202850.180.730.450.402.005%857.73
Murad Taher11220215140.181.361.270.141.218%11010.00
Tomas Jakovac1122052090.451.820.820.562.7811%23020.91


Toronto A

1Columbia GW2952703822213.411118016.36
2Conrad GrebelW40514041112218.411524016.00
3McGill BW3653003902216.591223019.17
4McGill AW33025031012215.001319014.62
5Toronto EW38517011222217.501326020.00
6Toronto DW42513531222219.321527018.00
7Toronto CW2852751922212.951019019.00
8Toronto BW2902502902213.181117015.45
9Waterloo AW40010541022218.181425017.86
10Waterloo BW38013021322217.271523015.33
11McMaster AW38511511322217.501425017.86

Raymond Chen1122083170.732.820.641.145.5718%39535.91
Sam Hauer11220134061.183.640.552.178.8324%56551.36
Sky Li1122064530.554.090.272.0017.0023%52547.73


Toronto B

1Conrad GrebelW3602204902216.361321016.15
2McGill BW35019521002215.911222018.33
3McGill AW2702102942212.271117015.45
4Toronto EW38520521232217.501425017.86
5Toronto DW40514031122218.411426018.57
6Toronto CW2752253742212.501018018.00
7Waterloo AW42517021332219.321528018.67
8Toronto AL2502902722211.36916017.78
9Waterloo BW43015021302219.551527018.00
10McMaster AW415-531422218.861724014.12
11Columbia GW39011541002217.731423016.43

Colin Veevers112201162111.005.641.001.006.6433%73066.36
Joshua Lane1122052370.452.090.640.714.0013%27024.55
Ryan Hamilton11220133021.182.730.186.5021.5020%48544.09


Toronto C

1McGill BW39020041122217.731523015.33
2McGill AW40512531222218.411525016.67
3Toronto EW2952754732213.411118016.36
4Toronto DW2302003752210.451014014.00
5Waterloo AW30524521032213.861219015.83
6Toronto BL2252750932210.23915016.67
7Toronto AL27528511162212.501218015.00
8Waterloo BW2651502952212.051117015.45
9McMaster AW4659041312221.141728016.47
10Columbia GL200300175229.09814017.50
11Conrad GrebelW29518911162213.411220016.67

Luc Foster11220630170.552.731.550.352.1216%30527.73
Lucas Smith11220734100.643.090.910.704.1019%39535.91
Spandan Sengupta1122051990.451.730.820.562.6711%22020.00
Wenying Wu1122072450.642.180.451.406.2014%32029.09


Toronto D

1McGill AL2552856532211.591113011.82
2Toronto EL115325152225.2366010.00
3Waterloo AW24015511032210.911114012.73
4Toronto CL200230193229.091011011.00
5Toronto BL140405165226.3679012.86
6Toronto AL135425053226.14510020.00
7Waterloo BL2303001812210.45914015.56
8McMaster AW2851553822212.951117015.45
9Columbia GL215265463229.771011011.00
10Conrad GrebelW29521031022213.411316012.31
11McGill BL100415141224.5555010.00

Amy Zhang1122041990.361.730.820.442.5610%20518.64
Angus Paterson11220102450.912.180.452.006.8015%36533.18
Marcus Forbes-Green1122031350.271.180.450.603.207%15013.64
Wentao Cui1122052090.451.820.820.562.7811%23020.91


Toronto E

1Waterloo AW28515031042212.951316012.31
2Toronto DW3251154912214.771318013.85
3Toronto CL2752952832212.501018018.00
4Toronto BL205385261229.32812015.00
5Toronto AL170385332227.73610517.50
6Waterloo BL160365074227.27711015.71
7McMaster AW3859001452217.501427019.29
8Columbia GW42010041102219.091525016.67
9Conrad GrebelW40512031322218.411624015.00
10McGill BW32023521002214.551219015.83
11McGill AW26522521032212.051215012.50

Ian Chow1122073670.643.270.641.006.1420%43039.09
Qaasim Karim1122091850.821.640.451.805.4012%29026.36
Samir Mechel11220635120.553.181.090.503.4219%38034.55
Vikram Nijhawan1122031210.271.090.093.0015.007%16014.55


Waterloo A

1Toronto EL150285173226.8288010.00
2McMaster AW3856501612316.741623014.38
3Toronto DL155240073227.05710014.29
4Columbia GW25524511102211.591213010.83
5Toronto CL2453052812211.141014014.00
6Conrad GrebelW32015021242214.551419013.57
7Toronto BL170425161227.73710014.29
8McGill BL105435063224.7766010.00
9Toronto AL105400073224.777507.14
10McGill AL140360242226.3668013.33
11Waterloo BL130250074225.9178011.43

Daniel Song112200420.000.360.180.002.002%302.73
Kaveen Makumbura1122002590.002.270.820.002.7811%20518.64
Thomas Mennill1122053470.453.090.640.715.5718%38034.55
Tim He1122042870.362.550.640.574.5715%30527.73


Waterloo B

1McMaster AW31512031122214.321417012.14
2Columbia GL2252401922210.231013013.00
3Conrad GrebelL140320161226.3677010.00
4McGill BL2302703612210.45913014.44
5McGill AW3352004812215.231220016.67
6Toronto EW36516021212216.591422015.71
7Toronto DW30023011122213.641218515.42
8Toronto CL150265161226.8278011.43
9Toronto BL150430242226.8269015.00
10Toronto AL130380141225.9158016.00
11Waterloo AW2501304722211.361113011.82

Aidan Wilson112200950.000.820.450.001.804%655.91
Leo Ortega112205520.450.450.182.505.005%11510.45
Peter Wang11220176781.556.090.732.1310.5038%88580.45
Steven Sirard112201310.090.270.091.004.002%403.64