92nd Street Flying Dolphins · Event leaderboards

Per-event athlete times for the selected course + season. Switch slices below.

50 BK LCM

15 of 25
#AthleteGAgeTime
1Victor Garcia BoryM1832.97
2Sofia Fong-CausoneF1633.37
3Cadie ParkF1634.26
4Luc PelletierM1434.64
5James MasellaM1237.88
6Kavita VarshneyF1138.24
7Caroline KarellasF1738.42
8Lilah MurphyF1340.02
9Naomi YeF1140.46
10Ranran LiF1042.33
11Hailey NgF1042.63
12Leon Wu WuM942.86
13Estlin YuF1242.94
14Reese BubaF1044.00
15Ellie DiamondF1144.07

50 BR LCM

15 of 26
#AthleteGAgeTime
1Tygesen YoonM1732.13
2Nikhil VarshneyM1633.11
3Luc PelletierM1434.25
4Cadie ParkF1636.87
5Luca UhlirM1438.45
6Annri KatohF1639.11
7Sofia Fong-CausoneF1639.67
8Estlin YuF1240.92
9Naomi YeF1141.70
10Kavita VarshneyF1141.99
11James MasellaM1242.49
12Leon Wu WuM944.35
13Ranran LiF1045.56
14Hailey NgF1046.80
15Celine NgF1246.82

50 FL LCM

15 of 24
#AthleteGAgeTime
1Victor Garcia BoryM1828.29
2Tygesen YoonM1728.86
3Annri KatohF1630.35
4Cadie ParkF1631.44
5Sofia Fong-CausoneF1632.49
6Luc DurliatM1332.52
7Caroline KarellasF1733.10
8Naomi YeF1133.16
9Kavita VarshneyF1134.07
10Celine NgF1235.03
11James MasellaM1235.11
12Ranran LiF1036.52
13Hailey NgF1038.32
14Estlin YuF1239.13
15Lilah MurphyF1340.08

50 FR LCM

15 of 43
#AthleteGAgeTime
1Liam Mac CollaM1823.36
2Tygesen YoonM1725.27
3Jago OliverM1726.00
4Nathan LuanM1826.15
5Nikhil VarshneyM1626.36
6Fyodor KlimenkoM1626.62
7Victor Garcia BoryM1726.79
8Aaron WangM1527.13
9Oliver SterlingM1727.60
10Luc PelletierM1428.22
11Annri KatohF1628.88
12Sophia De MendoncaF1728.99
13Suraya MeyerF1629.09
14Ayana AshrafF1429.50
15Sofia Fong-CausoneF1629.70

100 BK LCM

15 of 39
#AthleteGAgeTime
1Liam Mac CollaM181:02.24
2Oliver SterlingM171:05.83
3Jago OliverM171:07.61
4Aaron WangM151:07.83
5Nikhil VarshneyM161:08.18
6Annri KatohF161:08.80
7Sofia Fong-CausoneF161:10.88
8Luc PelletierM141:12.31
9Sophia De MendoncaF171:12.43
10Victor Garcia BoryM181:12.66
11Cadie ParkF161:14.27
12Cailin WongF161:14.74
13Ashlyn KileyF141:16.15
14Carys EglestonF161:18.44
15Suraya MeyerF161:20.10

100 BR LCM

15 of 33
#AthleteGAgeTime
1Tygesen YoonM171:10.68
2Nikhil VarshneyM161:12.13
3Liam Mac CollaM181:14.77
4Ryan LeeM141:15.32
5Luc PelletierM141:16.07
6Cadie ParkF161:18.72
7Aaron WangM151:20.24
8Annri KatohF161:24.16
9Daphne BiekerF171:24.56
10Sofia Fong-CausoneF161:26.77
11Ayana AshrafF141:27.05
12Luca UhlirM141:27.07
13Kavita VarshneyF111:30.37
14James MasellaM121:31.22
15Estlin YuF121:31.29

100 FL LCM

15 of 39
#AthleteGAgeTime
1Liam Mac CollaM1859.99
2Jago OliverM171:01.68
3Vladimir ShibalovM211:01.88
4Oliver SterlingM171:02.51
5Aaron WangM151:03.69
6Victor Garcia BoryM181:04.05
7Nikhil VarshneyM161:04.21
8Tygesen YoonM171:04.93
9Annri KatohF161:07.08
10Cadie ParkF161:08.58
11Cailin WongF161:10.79
12Ayana AshrafF141:11.13
13Cassie CroftF141:12.63
14Luc PelletierM141:13.08
15Sofia Fong-CausoneF161:13.56

100 FR LCM

15 of 36
#AthleteGAgeTime
1Liam Mac CollaM1852.26
2Tygesen YoonM1756.55
3Nathan LuanM1857.22
4Nikhil VarshneyM1658.89
5Aaron WangM151:00.82
6Annri KatohF161:00.84
7Victor Garcia BoryM171:00.87
8Caroline KarellasF171:03.18
9Sofia Fong-CausoneF161:04.03
10Luc PelletierM141:04.04
11Cadie ParkF161:04.39
12Celine NgF121:06.48
13Ayana AshrafF141:08.87
14Daphne BiekerF171:09.57
15James MasellaM121:09.72

200 BK LCM

15 of 28
#AthleteGAgeTime
1Ryan LeeM142:19.96
2Oliver SterlingM172:21.49
3Tygesen YoonM172:22.76
4Annri KatohF162:24.43
5Jago OliverM172:24.71
6Aaron WangM152:25.20
7Nikhil VarshneyM162:26.89
8Sofia Fong-CausoneF162:32.55
9Sophia De MendoncaF172:33.01
10Fyodor KlimenkoM162:35.54
11Luc PelletierM142:37.36
12Cadie ParkF162:39.61
13Cailin WongF162:41.98
14Ashlyn KileyF142:43.05
15Suraya MeyerF162:44.68

200 BR LCM

15 of 27
#AthleteGAgeTime
1Nikhil VarshneyM162:36.78
2Tygesen YoonM172:40.22
3Jago OliverM172:42.68
4Ryan LeeM142:44.45
5Cadie ParkF162:49.61
6Liam Mac CollaM182:50.68
7Luc PelletierM142:50.88
8Aaron WangM152:56.25
9Annri KatohF162:56.30
10Daphne BiekerF173:04.92
11Luca UhlirM143:09.40
12Sofia Fong-CausoneF163:10.05
13Estlin YuF123:14.05
14Fyodor KlimenkoM163:14.21
15Ayana AshrafF143:17.33

200 FL LCM

10 of 10
#AthleteGAgeTime
1Vladimir ShibalovM212:11.85
2Aaron WangM152:27.34
3Annri KatohF162:29.70
4Luc DurliatM132:41.42
5Cadie ParkF162:47.62
6Ayana AshrafF142:54.48
7Naomi YeF113:14.00
8Avery KhoslaF133:14.18
9Audrey SchwartzF113:42.87
10Leon Wu WuM93:48.42

200 FR LCM

15 of 39
#AthleteGAgeTime
1Liam Mac CollaM181:59.32
2Vladimir ShibalovM212:05.27
3Nikhil VarshneyM162:07.58
4Annri KatohF162:09.22
5Tygesen YoonM172:09.26
6Oliver SterlingM172:10.02
7Jago OliverM172:10.57
8Aaron WangM152:14.56
9Sophia De MendoncaF172:17.13
10Luc PelletierM142:19.31
11Carys EglestonF162:19.47
12Sofia Fong-CausoneF162:19.95
13Caroline KarellasF172:21.44
14Cadie ParkF162:21.45
15Victor Garcia BoryM182:23.33

200 IM LCM

15 of 28
#AthleteGAgeTime
1Liam Mac CollaM182:16.44
2Vladimir ShibalovM212:18.04
3Ryan LeeM142:23.93
4Nikhil VarshneyM162:24.42
5Tygesen YoonM172:26.68
6Annri KatohF162:27.46
7Aaron WangM152:31.64
8Sofia Fong-CausoneF162:36.47
9Cadie ParkF162:36.55
10Daphne BiekerF172:44.60
11James MasellaM122:49.05
12Luca UhlirM142:49.29
13Avery KhoslaF132:53.53
14Kavita VarshneyF112:54.33
15Macie MatkovicF122:54.86

400 FR LCM

15 of 16
#AthleteGAgeTime
1Vladimir ShibalovM214:22.29
2Nikhil VarshneyM164:37.25
3Annri KatohF164:37.72
4Ryan LeeM144:46.17
5Jago OliverM174:52.38
6Aaron WangM154:55.49
7Caroline KarellasF174:55.67
8Sophia De MendoncaF174:57.92
9Cadie ParkF165:03.15
10Daphne BiekerF175:16.94
11Luca UhlirM145:19.81
12Macie MatkovicF125:22.63
13Naomi YeF115:26.68
14Gianluca RapleyM115:33.20
15Kavita VarshneyF115:36.35

400 IM LCM

12 of 12
#AthleteGAgeTime
1Vladimir ShibalovM214:47.24
2Oliver SterlingM175:07.55
3Ryan LeeM145:08.14
4Nikhil VarshneyM165:17.41
5Cadie ParkF165:29.97
6Aaron WangM155:34.37
7Daphne BiekerF175:49.62
8Luca UhlirM145:57.78
9Avery KhoslaF136:18.82
10Naomi YeF116:19.26
11Iris ReylF146:19.45
12Kavita VarshneyF116:31.06