2024 ACF Winter at Toronto

November 16, 2024


Guelph A

1Toronto AL75430041203.7544010.00
3Waterloo CL55385031202.7533010.00
4Ottawa AL145225071207.2578011.43
5Toronto IW3253001312016.251320015.38
6McGill DW24015001122012.001114012.73
7McGill BL145230071207.2578011.43
8Guelph BW27013001202013.501215012.50
9Toronto FW170155090208.509808.89
10Toronto DW1901700102209.501010010.00
11McGill DL2002100922010.00912013.33

Dylan Steptoe1020001340.001.300.400.003.257%11011.00
Elijah Mandelbaum1020005850.005.800.500.0011.6029%55555.50
Ibraheem Alkrahgholy102000310.000.300.100.003.002%252.50
Monica Wang1020001110.001.100.100.0011.006%10510.50


Guelph B

1Waterloo DW185130091209.25910011.11
2Waterloo AL60515030203.0033010.00
3Toronto HL180195082209.00811013.75
4Ottawa CL150210072207.5079012.86
6Toronto Metropolitan AL90280052204.5055010.00
7Toronto EL105260051205.2556012.00
8Guelph AL130270072206.5077010.00
9Toronto DL170200092208.5099010.00
10Toronto FW150140080207.508708.75
11Waterloo FW185135091209.25910011.11

Gabriel McMurren1020005160.005.100.600.008.5026%48048.00
Lee Huynh102000500.000.500.000.000.003%505.00
Rachel Wilding102000510.000.500.100.005.003%454.50
Tomas Bertovic102000960.000.900.600.001.505%606.00


McGill A

1Toronto DW495-1501812024.751832017.78
2Western Ontario AW27022501122013.501117015.45
4McMaster BW4556501612022.751630018.75
5Waterloo EW540-1501902027.001935018.42
6Ottawa BW3209001322016.001320015.38
7Toronto CW4457001632022.251630018.75
8Toronto BW37012501422018.501424017.14
9Waterloo AL155415061207.75610016.67
10Toronto AL2053900812010.25813016.25
11Toronto EW34512001332017.251323017.69

Asha Basu1020003940.003.900.400.009.7520%37037.00
Ava Butler1020002140.002.100.400.005.2511%19019.00
Nicolas Edwards1020007480.007.400.800.009.2537%70070.00


McGill B

1Waterloo CL155325073207.75710014.29
2Ottawa AL115250067205.7569015.00
3Toronto IW2359001132011.751114012.73
4McGill DW21018001142010.501112010.91
6Toronto AL160320074208.00711015.71
7Guelph AW23014501042011.501015015.00
8Toronto Metropolitan AL195220083209.75813016.25
9McGill CW25520001212012.751214011.67
10Western Ontario AL90385052204.5055010.00
11McMaster AL1952050103209.751011011.00

Denali Tran-Le1020001660.001.600.600.002.678%13013.00
Henry Olsen1020002580.002.500.800.003.1313%21021.00
Nabhaan Farooqi10200035150.003.501.500.002.3318%27527.50
Rowan Watchmaker1020001150.001.100.500.002.206%858.50


McGill C

1McMaster AW30516001212015.251219015.83
2Toronto GL80460030204.0035016.67
3Queen's AW23510501152011.751115013.64
4Toronto BL2002350922010.00912013.33
5Toronto FW24014501242012.001214011.67
6Waterloo FW26510501112013.251116014.55
8Western Ontario AL2003600822010.00813016.25
9McGill BL2002550722010.00714020.00
10Toronto Metropolitan AL2002500802010.00812015.00
11Ottawa CW24015501122012.001114012.73

Charlotte Bauer1020001840.001.800.400.004.509%16016.00
Ella Tang1020001030.001.000.300.003.335%858.50
James Ferrabee10200043100.004.301.000.004.3022%38038.00
Luke Sloan1020002120.002.100.200.0010.5011%20020.00


McGill D

1Ottawa AL185240091209.25910011.11
2Toronto IW2907501322014.501317013.08
4McGill BL180210082209.00811013.75
5Toronto AL45460033202.2533010.00
6Guelph AL150240084207.5089011.25
7Waterloo CL195270081209.75812015.00
8Toronto HW3706501522018.501523015.33
9Waterloo FW2702001222013.501216013.33
10Waterloo EL110205074205.507608.57
11Guelph AW21020001142010.501112010.91

Charlie Ruff1020004370.004.300.700.006.1422%39539.50
Chloe Delabie102000710.000.700.100.007.004%656.50
Larry Sun1020002090.002.000.900.002.2210%15515.50
Max Gross1020002480.002.400.800.003.0012%20020.00


McMaster A

1McGill CL160305080208.0088010.00
3Toronto GL105445051205.2556012.00
4Queen's AW2756501232013.751217014.17
5Toronto BW26015001102013.001115013.64
6Toronto FW2507501222012.501214011.67
7Waterloo FW3258501412016.251419013.57
8McMaster BL115365061205.7566010.00
9Ottawa AL165225073208.25711015.71
10Ottawa CW26510001212013.251215012.50
11McGill BW20519501032010.251012012.00

Cranmer McGinn1020001750.001.700.500.003.409%14514.50
Halee Carey1020006590.006.500.900.007.2233%60560.50
Jack Longley102000300.000.300.000.000.002%303.00
Lindsay Jackson1020001210.001.200.100.0012.006%11511.50


McMaster B

1Toronto CW2657001332013.251315011.54
2Toronto DW31017001322015.501319014.62
3Western Ontario AL110450052205.5057014.00
4McGill AL65455033203.2535016.67
6Waterloo EL75225067203.756508.33
7Ottawa BL150275060207.5069015.00
8McMaster AW36511501412018.251423016.43
9Ottawa CW2001900942010.00913014.44
10Ottawa AL180220082209.00811013.75
11Western Ontario AL95385053204.7556012.00

Dilen Moodelly1020001030.001.000.300.003.335%858.50
Seth Allen10200027110.002.701.100.002.4514%21521.50
Willow Paraskevas1020001720.001.700.200.008.509%16016.00
Yusuf Baig10200028110.002.801.100.002.5514%22522.50


Ottawa A

1McGill DW24018501022012.001015015.00
2McGill BW25011501342012.501314010.77
3Toronto AL160380060208.00610016.67
4Guelph AW22514501072011.251016016.00
5Waterloo CL180295084209.00812015.00
7Toronto IW3209001222016.001221017.50
8Ottawa CW185105093209.25911012.22
9McMaster AW22516501132011.251113011.82
10McMaster BW22018001142011.001113011.82
11Toronto Metropolitan AL190220094209.50912013.33

Maude-Sophie Lockman10200060240.006.002.400.002.5030%48048.00
Stefan Vlad1020003990.003.900.900.004.3320%34534.50


Ottawa B

1Waterloo EW2609501162013.001118016.36
3Toronto CW3806001522019.001524016.00
4Toronto DW36510501532018.251523015.33
5Western Ontario AW2451900912012.25916017.78
6McGill AL90320054204.5056012.00
7McMaster BW27515001152013.751119017.27
8Toronto GL75510043203.7545012.50
9Toronto EW30014001422015.001417012.14
10Waterloo CW21019001022010.501012012.00
11Toronto AL150370074207.50710014.29

Ian Theysmeyer1020002460.002.400.600.004.0012%21021.00
James Wang10200033120.003.301.200.002.7517%27027.00
Jesse Chusing1020003890.003.800.900.004.2219%33533.50
Sam Montgomery102000650.000.600.500.001.203%353.50


Ottawa C

1Waterloo AL30535024201.5023015.00
2Toronto HW1901850102209.501010010.00
4Guelph BW21015001222010.50121008.33
5Toronto Metropolitan AW170160092208.5099010.00
6Toronto EL140285082207.008708.75
7Waterloo DW190155082209.50812015.00
8Ottawa AL105185063205.2566010.00
9McMaster BL1902000112209.5011908.18
10McMaster AL100265074205.007507.14
11McGill CL155240073207.75710014.29

Daniel Yang10200038110.003.801.100.003.4519%32532.50
Jason Rohfritsch10200042150.004.201.500.002.8021%34534.50


Queen's A

1Toronto FL80135062204.006305.00
2Waterloo FL160175092208.009808.89
3McGill CL105235051205.2556012.00
4McMaster AL65275041203.254307.50
5Toronto GL90460040204.5045012.50
7Toronto BL30450020201.502105.00
8Toronto CL125150061206.2567011.67
9Toronto IL95125071204.757304.29
10Waterloo DL85165053204.2555010.00
11Toronto CW180170090209.0099010.00

Allan Savini1020001220.001.200.200.006.006%11011.00
Brendan Bridle1020004180.004.100.800.005.1321%37037.00
Simon Choist102000410.000.400.100.004.002%353.50


Toronto A

1Guelph AW4307501502021.501528018.67
2Waterloo CL2402900802012.00816020.00
3Ottawa AW38016001322019.001326020.00
4Toronto IW4808001642024.001634021.25
5McGill DW4604501702023.001729017.06
6McGill BW32016001222016.001221017.50
8Waterloo AL2353750712011.75717024.29
9Toronto BW37518501212018.751226021.67
10McGill AW39020501202019.501227022.50
11Ottawa BW37015001202018.501225020.83

Ben Wismath1020005230.005.200.300.0017.3326%50550.50
Jason Zhang1020002430.002.400.300.008.0012%22522.50
Kunaal Chandrashekar1020002400.002.400.000.000.0012%24024.00
Marcus Forbes-Green1020002440.002.400.400.006.0012%22022.00


Toronto B

2Toronto FW4205501622021.001627016.88
3Waterloo FW1901850104209.501011011.00
4McGill CW23520001012011.751014014.00
5McMaster AL150260078207.50712017.14
6Toronto GL130405062206.5068013.33
7Queen's AW4503001702022.501728016.47
8McGill AL125370063206.2568013.33
9Toronto AL185375071209.25712017.14
10Waterloo AL90520040204.5045012.50
11Waterloo CW42012501402021.001428020.00

Franklin Wu1020004030.004.000.300.0013.3320%38538.50
Joey Sun10200028140.002.801.400.002.0014%21021.00
Yihong Chen1020002940.002.900.400.007.2515%27027.00


Toronto C

1McMaster BL70265050203.505204.00
2Waterloo EL125220061206.2567011.67
3Ottawa BL60380050203.005102.00
5Toronto DL150160080207.508708.75
6Western Ontario AL5460011200.25100.00
7McGill AL70445030203.5034013.33
8Queen's AW150125084207.5089011.25
9Waterloo DL45315031202.253206.67
10Toronto IL110145070205.507405.71
11Queen's AL170180090208.509808.89

Ellen Ge1020001230.001.200.300.004.006%10510.50
James Xiao1020002640.002.600.400.006.5013%24024.00
Nameer Qadir1020001700.001.700.000.000.009%17017.00


Toronto D

1McGill AL-1549500320-0.75000.00
2McMaster BL170310070208.50710014.29
3Waterloo EW2357501112011.751113011.82
4Ottawa BL105365051205.2556012.00
5Toronto CW160150082208.0089011.25
7Western Ontario AL60495020203.0024020.00
8Toronto FL120190082206.008506.25
9Guelph BW20017001022010.001011011.00
10Guelph AL170190092208.5099010.00
11Waterloo EL165175081208.2589011.25

Athan Juritsch10200051130.005.101.300.003.9226%44544.50
Olivia Parisotto102000300.000.300.000.000.002%303.00
Zannatul Isaque1020001410.001.400.100.0014.007%13513.50


Toronto E

1Toronto Metropolitan AL2402750922012.00916017.78
3Waterloo DW3259001332016.251321016.15
4Waterloo AL140400070207.0077010.00
5Toronto HW28015501222014.001217014.17
6Ottawa CW28514001212014.251217014.17
7Guelph BW26010501222013.001215012.50
8Waterloo CW26519001132013.251117015.45
9Ottawa BL140300052207.00510020.00
10Toronto GL50585020202.5023015.00
11McGill AL120345064206.0068013.33

Amir Dolansky10200040120.004.001.200.003.3320%34034.00
Chris Wang1020001410.001.400.100.0014.007%13513.50
Stephen Ottewell1020002060.002.000.600.003.3310%17017.00
Victor Xu1020001500.001.500.000.000.008%15015.00


Toronto F

1Queen's AW13580083206.758708.75
2Toronto BL55420021202.7524020.00
4Waterloo FW175125091208.7599010.00
5McGill CL145240071207.2578011.43
6McMaster AL75250063203.756305.00
7Toronto GL95355051204.7555010.00
8Toronto DW190120092209.50911012.22
9Guelph AL1551700101207.7510606.00
10Guelph BL140150092207.009606.67
11Toronto HL1752050101208.7510808.00

Arjun Dixit1020001440.001.400.400.003.507%12012.00
Imtiaz Kidwai1020001420.001.400.200.007.007%13013.00
Kevin Gan1020003190.003.100.900.003.4416%26526.50
Samuel Zheng1020001610.001.600.100.0016.008%15515.50


Toronto G

1Waterloo FW5751001912028.751939020.53
2McGill CW4608001722023.001730017.65
3McMaster AW44510501532022.251531020.67
5Queen's AW4609001442023.001434024.29
6Toronto BW40513001332020.251329022.31
7Toronto FW3559501352017.751325019.23
8Ottawa BW5107501622025.501636022.50
9Waterloo CW5607001722028.001740023.53
10Toronto EW5855001812029.251841022.78
11Waterloo AL2154200752010.75717024.29

Gareth Thorlakson1020004410.004.400.100.0044.0022%43543.50
Martin Profant102000730.000.700.300.002.334%555.50
Parth Jagtap10200042130.004.201.300.003.2321%35535.50
Tony Chen10200056110.005.601.100.005.0928%50550.50


Toronto H

2Ottawa CL185190091209.25910011.11
3Guelph BW195180091209.75911012.22
4Toronto Metropolitan AL140295080207.008607.50
5Toronto EL155280081207.7588010.00
6Waterloo DL115170071205.757507.14
7Waterloo AL70565030203.5034013.33
8McGill DL65370043203.2544010.00
9Waterloo EL55230041202.754205.00
10Waterloo FW24012001202012.001212010.00
11Toronto FW2051750912010.25912013.33

Henry Siegler1020002520.002.500.200.0012.5013%24024.00
James Fan1020001250.001.200.500.002.406%959.50
Jason Panusopone102000510.000.500.100.005.003%454.50
Nathaniel Hall Godfrey1020003110.003.100.100.0031.0016%30530.50


Toronto I am grateful for my youthful years at OPPO, as its persistence in delivering products in th

2McGill DL75290053203.755408.00
3McGill BL90235052204.5055010.00
4Toronto AL80480030204.0035016.67
5Guelph AL30325034201.503206.67
6Waterloo CL15420021200.75200.00
7Ottawa AL90320050204.505408.00
8Waterloo DL105185073205.257507.14
9Queen's AW12595083206.258607.50
10Toronto CW145110071207.2578011.43
11Waterloo DW160140090208.009707.78

Banff Gu1020001630.001.600.300.005.338%14514.50
Jeremy Kim102000810.000.800.100.008.004%757.50
Will Marcotte10200030130.003.001.300.002.3115%23523.50


Toronto Metropolitan A

1Toronto EW27524001032013.751019019.00
2Waterloo DW32512501412016.251419013.57
3Waterloo AL90460052204.5055010.00
4Toronto HW29514001152014.751121019.09
5Ottawa CL160170086208.00811013.75
6Guelph BW2809001322014.001316012.31
8McGill BW22019501142011.001113011.82
9Western Ontario AW25022001122012.501115013.64
10McGill CW25020001222012.501214011.67
11Ottawa AW22019001042011.001014014.00

Ishan Joshi10200043170.004.301.700.002.5322%34534.50
Jack van Nostrand10200062140.006.201.400.004.4331%55055.00


Waterloo A

1Ottawa CW5353001632026.751639024.38
2Guelph BW5156001732025.751736021.18
3Toronto Metropolitan AW4609001502023.001531020.67
4Toronto EW40014001322020.001328021.54
5Waterloo DW5357001732026.751738022.35
7Toronto HW5657001712028.251740023.53
8Toronto AW37523501332018.751326020.00
9McGill AW41515501332020.751330023.08
10Toronto BW5209001602026.001636022.50
11Toronto GW42021501322021.001330023.08

Caleb Ott1020005560.005.500.600.009.1728%52052.00
Jared He1020001930.001.900.300.006.3310%17517.50
Micah Colman1020002940.002.900.400.007.2515%27027.00
Michael Du1020004770.004.700.700.006.7124%43543.50


Waterloo C

1McGill BW32515501312016.251320015.38
2Toronto AW29024001222014.501218015.00
3Guelph AW3855501512019.251524016.00
5Ottawa AW29518001212014.751218015.00
6Toronto IW4201501702021.001725014.71
7McGill DW27019501122013.501117015.45
8Toronto EL190265084209.50813016.25
9Toronto GL70560030203.5034013.33
10Ottawa BL190210080209.50811013.75
11Toronto BL125420055206.25510020.00

Dawson Teu1020001110.001.100.100.0011.006%10510.50
James Ah Yong1020003770.003.700.700.005.2919%33533.50
Rayton Lin1020004250.004.200.500.008.4021%39539.50
Xavier Spano714001430.002.000.430.004.6710%12517.86


Waterloo D

1Guelph BL130185074206.5078011.43
2Toronto Metropolitan AL125325061206.2567011.67
3Toronto EL90325050204.505408.00
5Waterloo AL70535030203.5034013.33
6Toronto HW170115090208.509808.89
7Ottawa CL155190081207.7588010.00
8Toronto IW185105083209.25812015.00
9Toronto CW3154501412015.751418012.86
10Queen's AW16585093208.2599010.00
11Toronto IL140160082207.008708.75

Aleksa Misic102000430.000.400.300.001.332%252.50
Jason Wang918001320.001.440.220.006.507%12013.33
Mari Montoya1020002870.002.800.700.004.0014%24524.50
Susanna Liao1020003230.003.200.300.0010.6716%30530.50


Waterloo E

1Ottawa BL95260051204.7555010.00
2Toronto CW22012501022011.001013013.00
3Toronto DL75235043203.7545012.50
4Western Ontario AL120295062206.0067011.67
5McGill AL-1554000320-0.75000.00
6McMaster BW2257501112011.251112010.91
8Waterloo FL155160091207.759707.78
9Toronto HW2305501222011.501212010.00
10McGill DW2051100912010.25912013.33
11Toronto DW1751650103208.7510909.00

Evan Chan10200041120.004.101.200.003.4221%35035.00
Maya Vardag1020001220.001.200.200.006.006%11011.00
Nina Chen102000930.000.900.300.003.005%757.50
William Kennedy1020001420.001.400.200.007.007%13013.00


Waterloo F

1Toronto GL10575010200.50100.00
2Queen's AW175160091208.7599010.00
3Toronto BL185190081209.25811013.75
4Toronto FL125175063206.2568013.33
6McGill CL105265061205.256508.33
7McMaster AL85325041204.2545012.50
8Waterloo EW160155082208.0089011.25
9McGill DL20270024201.0022010.00
10Toronto HL120240052206.0058016.00
11Guelph BL135185071206.7577010.00

James Tang1020002580.002.500.800.003.1313%21021.00
Prabhjot Chopra1020001970.001.900.700.002.7110%15515.50
Zack Wiffen1020001210.001.200.100.0012.006%11511.50


Western Ontario A

2McGill AL2252700912011.25914015.56
3McMaster BW45011001502022.501530020.00
4Waterloo EW29512001332014.751318013.85
5Ottawa BL1902450104209.501011011.00
6Toronto CW460501802023.001828015.56
7Toronto DW4956001812024.751832017.78
8McGill CW36020001222018.001225020.83
9Toronto Metropolitan AL2202500822011.00815018.75
10McGill BW3859001512019.251524016.00
11McMaster BW3859501432019.251426018.57

Arjun Stenger1020001240.001.200.400.003.006%10010.00
Ian Chow102000114110.0011.401.100.0010.3657%1085108.50
Nicholas Kwan102000610.000.600.100.006.003%555.50
Owen Rivere102000010.000.000.100.000.000%-5-0.50