2019 EFT at Toronto

October 5, 2019


McGill A

1Toronto HW3851206812019.251422015.71
2Toronto CW29021511132014.501218015.00
3Toronto EW33019011132016.501222018.33
4Toronto DW3002153752015.001021021.00
5McMaster AW4903031312024.501632020.00
6Waterloo AW46016041042023.001432022.86
7McGill CW5101551212025.501732018.82
8Toronto GW33511521132016.751321016.15
9Toronto FW37018021122018.501324018.46
10UTS AW3302406522016.501120018.18
11Toronto BL2453352732012.25916017.78
12Toronto BL2603003732013.001016016.00

Henry Atkins122402257151.834.751.251.475.2733%82568.75
Minh-Huy Phung1224031870.251.500.580.433.009%19015.83
Sheena Li1224092150.751.750.421.806.0013%32026.67
Simone Valade1224041740.331.420.331.005.259%21017.50


McGill B

1Toronto BL105425142205.2556012.00
2Westmount AL190230173209.50812015.00
3Western Ontario AW2152001942010.751013013.00
4Toronto GL190210262209.50811013.75
5Waterloo BW280402922014.001117015.45
6UTS AL180210082209.00811013.75
7Toronto FL2202651832011.00914015.56
8Waterloo AL110210234205.5057014.00
9McMaster AW2852604732014.251117015.45
10McGill CW2051450912010.25912013.33
11Toronto HL185225352209.25810012.50

Andrew Bi1122046110.360.551.000.360.915%655.91
Gareth Adamson1122012250.092.000.450.204.6010%21019.09
Kevin Fan10200113281.103.200.801.385.3822%44544.50
Sam Perrault1122011540.091.360.360.254.007%14513.18


McGill C

1Toronto EL70380133203.5044010.00
2Toronto HL75225041203.7544010.00
3Toronto DL30385036201.5033010.00
4McMaster AL90205153204.506406.67
5Waterloo AL65310031203.2534013.33
6Toronto CL45480021202.2523015.00
7McGill AL15510023200.752105.00
8Westmount AL125225073206.2577010.00
9Western Ontario AL30390034201.503206.67
10McGill BL145205152207.2569015.00
11Waterloo BL145270170207.258607.50

Allan Wei1122011420.091.270.180.507.507%14513.18
Ekin Kiziltan11220310210.270.911.910.140.626%403.64
Hannah Billings112200920.000.820.180.004.504%807.27
Nadia Dakdouki816001120.001.380.250.005.507%10012.50


McMaster A

1Toronto CL2253352532011.25716022.86
2Toronto DW2851953822014.251117015.45
3Waterloo AW29515001212014.751218015.00
4McGill CW205901862010.25914015.56
5McGill AL30490125201.503206.67
6Toronto HL195200263209.75812015.00
7Toronto EL160290254208.00710014.29
8Waterloo BW190120274209.50911012.22
9McGill BL2602850922013.00918020.00
10Western Ontario AL175220162208.75711015.71
11Westmount AL185195182218.81910011.11

Adrian Wong1121173850.643.450.451.409.0021%46041.82
Jananan Arulseelan11201310180.270.911.640.170.726%555.00
Kane Nguyen5702910.401.800.202.0011.0016%11523.00
Murad Taher112012680.180.550.730.251.004%504.55
Tomas Jakovac1119111320.091.180.180.507.007%13512.27


Toronto B

1McGill BW42510531122021.251428020.00
2Waterloo BW43510021232021.751430021.43
3Toronto GW3251753842016.251122020.00
4Westmount AW3551853842017.751125022.73
5UTS AW43510041112021.751527018.00
6Toronto FW4509041122022.501529019.33
7Western Ontario AW43513531122021.751429020.71
8Toronto EW42510511422021.251528018.67
9Toronto DW2702352842013.501018018.00
10Toronto CW3751803922018.751225020.83
11McGill AW3352455602016.751120018.18
12McGill AW3002603732015.001020020.00

Colin Veevers122401146180.923.831.500.613.1724%53544.58
Raymond Chen1224072340.581.920.331.757.5013%31526.25
Ryan Hamilton12240152341.251.920.333.759.5016%43536.25
Sky Li1224032430.252.000.251.009.0011%27022.50


Toronto C

1McMaster AW3352255722016.751220016.67
2McGill AL2152901722010.75814017.50
3Toronto HW3501303932017.501223019.17
4Waterloo AW385954812019.251225020.83
5Toronto EW3106021022015.501219015.83
6McGill CW4804541202024.001630018.75
7Toronto DL160340254208.00710014.29
8Toronto FW25515001112012.751115013.64
9Toronto GW38514021232019.251425017.86
10Toronto BL180375161209.00711015.71
11UTS AW32022511012016.001121019.09

Josh Lane1122081740.731.550.362.006.2511%27024.55
Lucas Smith11220231100.182.820.910.203.3015%29026.36
Sam Hauer11220103710.913.360.0910.0047.0021%51546.82
Wentao Cui1122051250.451.090.451.003.408%17015.45


Toronto D

1Waterloo AW3002106642015.001217014.17
2McMaster AL195285174209.75813016.25
3McGill CW3853011302019.251424017.14
4McGill AL2153002632010.75814017.50
5Toronto HW2851304612014.251017017.00
6Toronto EW30515521012015.251218015.00
7Toronto CW34016001222017.001223019.17
8UTS AL2152402712010.75912013.33
9Toronto GW2751353642013.75919021.11
9Toronto BL2352702712011.75914015.56
11Toronto FL2452853622012.25915016.67

Luc Foster11220636110.553.271.000.553.8219%39535.91
Qaasim Karim1122061040.550.910.361.504.007%17015.45
Spandan Sengupta1122061960.551.730.551.004.1711%25022.73
Wenying Wu1122082120.731.910.184.0014.5013%32029.09


Toronto E

1McGill CW3807041022019.001423016.43
2Waterloo AL170210161208.50710014.29
3McGill AL190330252209.50712017.14
4Toronto HW2501253632012.50916017.78
5Toronto CL60310135203.0044010.00
6Toronto DL155305075207.75711015.71
7McMaster AW29016001222014.501218015.00
8Toronto BL105425142205.2556012.00
9UTS AW29017511132014.501218015.00
10Toronto FL190255080209.50811013.75
11Toronto GW2151653722010.751011011.00

Albert Cheng1122062060.551.820.551.004.3312%26023.64
Arif Aulakh1020021750.201.700.500.403.8010%17517.50
Gabriel Beiner1122051770.451.550.640.713.1410%21019.09
Malhaar Moharir1020032590.302.500.900.333.1114%25025.00


Toronto F

1Waterloo BW33511521032016.751222018.33
2Toronto GW3255011322016.251419013.57
3UTS AL2052202732010.25912013.33
4Western Ontario AW2252052732011.25914015.56
5Westmount AL2152200932010.75914015.56
6Toronto BL90450224204.5046015.00
7McGill BW2652201902013.251016016.00
8Toronto CL150255353207.508708.75
9McGill AL180370254209.00712017.14
10Toronto EW2551901942012.751017017.00
11Toronto DW2852452932014.251118016.36

Ian Chow1122012540.092.270.360.256.5012%24522.27
Jacky Liu11220317110.271.551.000.271.829%16014.55
Jade Goh-McMillen112204710.360.640.094.0011.005%12511.36
Kevin Downey112201036160.913.271.450.632.8821%43039.09


Toronto G

1UTS AL195215271209.75910011.11
2Toronto FL50325034202.5034013.33
3Toronto BL175325172208.75810012.50
4McGill BW2101902822010.501011011.00
5Western Ontario AW2001952602010.00811013.75
6Westmount AW30012011112015.001218015.00
7Waterloo BW2501601912012.501015015.00
8McGill AL115335152205.7566010.00
9Toronto DL135275162206.7577010.00
9Toronto CL140385323207.0059018.00
11Toronto EL165215172208.2589011.25

Amy Zhang1122061800.551.640.000.000.0011%27024.55
Angus Paterson1122042050.361.820.450.804.8011%23521.36
Samir Mechel11220533150.453.001.360.332.5317%33030.00


Toronto H

1McGill AL120385232206.0057014.00
2McGill CW2257511042011.251113011.82
3Toronto CL130350074206.5078011.43
4Toronto EL125250063206.2568013.33
5Toronto DL130285163206.5077010.00
6McMaster AW2001950922010.00912013.33
7Waterloo AL105205154205.2566010.00
8Western Ontario AL160355056208.00514028.00
9Westmount AW35517011202017.751322016.92
10Waterloo BW24512501232012.251214011.67
11McGill BW2251851922011.251013013.00

Marcus Forbes-Green1122012380.092.090.730.133.0011%20518.64
Michelle Prunier1122011370.091.180.640.142.006%11010.00
Vikram Nijhawan1122021340.181.180.360.503.757%14012.73
Zhongtian Wang11220335140.273.181.270.212.7117%32529.55


UTS A

1Toronto GW2151952812010.751011011.00
2Western Ontario AL125190083206.258607.50
3Toronto FW2202051912011.001012012.00
4Waterloo BW16075165208.00711015.71
5Toronto BL100435210205.0036020.00
6McGill BW2101801832010.50913014.44
7Westmount AW33020511012016.501122020.00
8Toronto DW2402153612012.00914015.56
9Toronto EL175290166208.75713018.57
10McGill AL2403301812012.00915016.67
11Toronto CL2253202712011.25913014.44

Jerry Wang112201044110.914.001.000.914.9125%53548.64
Nathan Kim112201950.090.820.450.202.005%807.27
Oliver Weizel612042470.674.001.170.574.0023%26544.17
Siddath Dagar4800000.000.000.000.000.000%00.00


Waterloo A

1Toronto DL2103001612010.50714020.00
2Toronto EW21017001122010.501111010.00
3McMaster AL150295161207.5078011.43
4Toronto CL95385041204.7546015.00
5McGill CW3106511132015.501220016.67
6McGill AL160460060208.00610016.67
7Toronto HW2051051922010.251011011.00
8McGill BW21011001002010.501011011.00
9Waterloo BW29011521022014.501217014.17
10Westmount AL160175084208.00810012.50
11Western Ontario AL140160082207.008708.75

Akash Narshana112201450.090.360.450.201.002%302.73
Desmond Ng1122012940.092.640.360.257.5014%28525.91
Thomas Mennill1122034660.274.180.550.508.1722%47543.18
Vincent Yeh1122011030.090.910.270.333.675%1009.09


Waterloo B

1Toronto FL115335061205.7566010.00
2Toronto BL100435143205.0056012.00
3Westmount AL105285154205.2566010.00
4UTS AL75160053203.755408.00
5McGill BL40280044202.004205.00
6Western Ontario AL180230080209.00810012.50
7Toronto GL160250072208.00710014.29
8McMaster AL120190062206.0067011.67
9Waterloo AL115290061205.7566010.00
10Toronto HL125245150206.2566010.00
11McGill CW2701452942013.501117015.45

Bailey Gardien112201420.090.360.180.502.502%454.09
Jose Bularan1122022540.182.270.360.506.7512%26023.64
Zach Bernstein11220236180.183.271.640.112.1117%30027.27


Western Ontario A

1Westmount AW24524011022012.251114012.73
2UTS AW190125094209.50912013.33
3McGill BL2002151832010.00912013.33
4Toronto FL2052251722010.25813016.25
5Toronto GL195200095209.75913014.44
6Waterloo BW2301801952011.501015015.00
7Toronto BL135435150206.7567011.67
8Toronto HW35516011402017.751520013.33
9McGill CW3903031312019.501622013.75
10McMaster AW22017501022011.001013013.00
11Waterloo AW160140284208.0010707.00

Peter Cordeiro11220838140.733.451.270.573.2921%43039.09
Tony Chen11220364140.275.821.270.214.7930%61555.91


Westmount A

1Western Ontario AL2402453612012.00914015.56
2McGill BW23019001122011.501113011.82
3Waterloo BW28510501412014.251415010.71
4Toronto BL185355172209.25811013.75
5Toronto FW2202151912011.001012012.00
6Toronto GL120300054206.0059018.00
7UTS AL2053302712010.25911012.22
8McGill CW2251250932011.25915016.67
9Toronto HL170355163208.50711015.71
10Waterloo AW175160182208.7599010.00
11McMaster AW195185192219.291010010.00

Amy Wang11221351110.274.641.000.274.9124%50045.45
Leif Olsen-Phillips61200500.000.830.000.000.004%508.33
Marcell Maitinsky1122142570.362.270.640.574.1413%27525.00
Neil Lin51001410.200.800.201.005.005%5010.00
Phillip Darley61212630.331.000.500.672.677%7512.50
Talia Fan51010000.000.000.000.000.000%00.00