2022 NAQT Collegiate Novice at Toronto

September 24, 2022


Queen's A

1Toronto CL195205182209.75911012.22
2Waterloo AL160360161208.0079012.86
3Toronto AL130270141206.5058016.00
4Toronto BW2401902722012.00915016.67
5Waterloo BL115510130205.7547017.50
6Waterloo CL135335140206.7558016.00
7Toronto EW2501950902012.50916017.78
8Waterloo DL140170062207.0069015.00
9Toronto DL180195070209.00711015.71

Charlie Botterell714022340.293.290.570.506.2518%24034.29
Elliot Norman816021400.251.750.000.000.0010%17021.25
Harry Shalit71400420.000.570.290.002.003%304.29
James McCarron71401920.141.290.290.505.007%9513.57
Lauren MacDonnell71402400.290.570.000.000.004%7010.00


Toronto A

1Toronto DL2102951712010.50813016.25
2Waterloo DL160180070208.0079012.86
3Queen'sW27013011012013.501116014.55
4Waterloo AL2502554702012.501112010.91
5Waterloo CL130345060206.5067011.67
6Toronto CW2151751822010.75913014.44
7Toronto BL110290141205.5056012.00
8Waterloo BL120445321206.0056012.00
9Toronto EW2251953522011.25814017.50

Jason Leung918011520.111.670.220.508.009%15517.22
Joshua Sangary918073450.783.780.561.408.2023%42046.67
Kate Howden91806710.670.780.116.0013.007%15517.22


Toronto B

1Waterloo AL165335160208.2579012.86
2Toronto EL165245150208.25610016.67
3Waterloo CL110255220205.5046015.00
4Queen'sL190240270209.5099010.00
5Toronto DL2052200812010.25813016.25
6Waterloo DW23513511002011.751112010.91
7Toronto AW2901102902014.501117015.45
8Toronto CL2102402602010.50812015.00
9Waterloo BL155505140207.75510020.00

Allison McQueen91800400.000.440.000.000.002%404.44
Mandelina Fagundes918062310.672.560.116.0029.0016%31535.00
Owen Zhang918051400.561.560.000.000.0011%21523.89
Simon Ormerod918011600.111.780.000.000.009%17519.44


Toronto C

1Queen'sW2051952632010.25813016.25
2Waterloo BL110565131205.5047017.50
3Waterloo DW245453802012.251112010.91
4Toronto EW36512031122018.251422015.71
5Waterloo AW2902053712014.501018018.00
6Toronto AL175215263208.75810012.50
7Toronto DL170230173208.50810012.50
8Toronto BW2402103612012.00914015.56
9Waterloo CL190290252209.50712017.14

Alex Lau918061380.671.440.890.752.3811%18020.00
Ben Wismath918031440.331.560.440.754.259%16518.33
Christopher Nash9180113241.223.560.442.7510.7524%46551.67


Toronto D

1Toronto AW2952102912014.751118016.36
2Waterloo CL140345234207.00510020.00
3Waterloo AL155165352207.758708.75
4Waterloo DW3358531102016.751418012.86
5Toronto BW2202052642011.00815018.75
6Waterloo BL125445132206.2549022.50
7Toronto CW2301702602011.50814017.50
8Toronto EL165180073208.25711015.71
9Queen'sW195180075209.75715021.43

Anatoly Zavyalov91804930.441.000.331.334.337%13515.00
Daniel Charters4800000.000.000.000.000.000%00.00
Dayala Singh918061040.671.110.441.504.009%17018.89
Sarah Khan9180538140.564.221.560.363.0724%38542.78


Toronto E

1Waterloo CL145315071207.2578011.43
2Toronto BW2451652812012.251014014.00
3Waterloo BL75515130203.754307.50
4Toronto CL120365210206.0038026.67
5Waterloo DL175235172208.75810012.50
6Waterloo AL95315041204.7546015.00
7Queen'sL195250352209.75811013.75
8Toronto DW180165361209.009808.89
9Toronto AL195225170209.75811013.75

Andy Zheng918011760.111.890.670.173.0010%15517.22
Franklin Wu9180102021.112.220.225.0015.0017%34037.78
Yihong Chen918021100.221.220.000.000.007%14015.56


Waterloo A

1Toronto BW3351656532016.751121019.09
2Queen'sW3601605652018.001125022.73
3Toronto DW165155164208.25711015.71
4Toronto AW2552504512012.75915016.67
5Toronto CL2052901762010.25815018.75
6Toronto EW315953942015.751220016.67
7Waterloo BL2404104342012.00717024.29
8Waterloo CL2052952612010.25812015.00
9Waterloo DW3451104932017.251321016.15

Eric Wang91804720.440.780.222.005.506%12013.33
Mattias Ehatamm91802545282.785.003.110.892.5039%68576.11
Richard Wang91801210.110.220.111.003.002%303.33
Terrance Chen91800200.000.220.000.000.001%202.22


Waterloo B

1Waterloo DW525908712026.251534022.67
2Toronto CW56511061012028.251638023.75
3Toronto EW515759722025.751632020.00
4Waterloo CW3602509112018.001022022.00
5Queen'sW5101158802025.501631019.38
6Toronto DW44512511442022.251526017.33
7Waterloo AW41024021122020.501328021.54
8Toronto AW44512021232022.251431022.14
9Toronto BW5051557822025.251533022.00
10Waterloo CW3352803722016.751023023.00

Caleb Ott102003243123.204.301.202.676.2538%85085.00
Keane Moraes102008430.800.400.302.674.006%14514.50
Micah Colman10200252832.502.800.308.3317.6727%64064.00


Waterloo C

1Toronto EW3151454632015.751021021.00
2Toronto DW3451404912017.251320015.38
3Toronto BW2551106332012.75915016.67
4Waterloo BL2503607212012.50913014.44
5Toronto AW3451304812017.251221017.50
6Queen'sW3351355642016.751122020.00
7Waterloo DW3151803742015.751022022.00
8Waterloo AW2952055522014.751018018.00
9Toronto CW2901903612014.50919021.11
10Waterloo BL2803354522014.00918020.00

Caitlyn Morgenstern102001200.100.200.000.000.002%353.50
Matthew Woodward1020081730.801.700.302.678.3313%27527.50
Michael Du102003335183.303.501.801.833.7834%75575.50
Paul Shen102003310.300.300.103.006.003%707.00


Waterloo D

1Waterloo BL90525313204.5045012.50
2Toronto AW180160264209.00811013.75
3Toronto CL45245306202.2533010.00
4Toronto DL85335326204.2555010.00
5Toronto EW2351752732011.75915016.67
6Toronto BL135235425206.7568013.33
7Waterloo CL180315252209.00711015.71
8Queen'sW170140363208.509808.89
9Waterloo AL110345141205.5056012.00

Cendikiawan Suryaatmadja9180616210.671.782.330.291.0512%14516.11
Daniel Silverberg91801110.110.110.111.002.001%202.22
Mark Song91806720.670.780.223.006.507%15016.67
Ricky Zhuang918010991.111.001.001.112.1111%19521.67