Thompson Trophy

Scores for Division C

TeamTotalSailors
1StanfordStanford University65Russell Clarida '19
CardinalJohn Cannistraro '17
2BowdoinBowdoin College95Erin Mullins '16
Polar BearsOlivia Diserio '16
3YaleYale University102Nicolas Hernandez '19
BulldogsChristopher Champa '181-2
Caroline Colwell '183-16
4TuftsTufts University116Casey Gowrie '16
JumbosSam Gates '171-10
Leah Fletcher '1711-16
5MITMassachusetts Institute of Technology128David Larson '161-10
Joseph Paggi '1611-16
EngineersTy Ingram '181-2
Lisa Sukharev-Chuyan '163-10
Sameena Shaffeeullah '1911-16
6Roger WilliamsRoger Williams University138Michael Gemperline '17
HawksHallie Repeta '19
*7Rhode IslandUniversity of Rhode Island141Caleb Armstrong '16
RamsEllis Havelock '181-6,9
Fiona Christie '177-8,10-16
*8St. Mary'sSt. Mary's College of Maryland141Liam McCarthy '19
SeahawksKate Bjerregaard '191-6
Lydia McPherson-Shambarger '197-14
Kira Allen '1815-16
*9HarvardHarvard University143Nick Sertl '18
CrimsonNomin-Erdene Jagdagdorj '17
*10Coast GuardU. S. Coast Guard Academy143Kayla Ellis '16
BearsAndrew Britton '16
11Hobart & William SmHobart and William Smith Colleges153Charles Miller '19
StatesmenHaley Okun '18
12George WashingtonGeorge Washington University161Wade Wagner '19
ColonialsHenry Young '161-6,9-10
Gabriella Malek '177-8,11-16
13EckerdEckerd College163Karl Rasmus Sayre '19
TritonsShaughnessy Lindquist '16
14Old DominionOld Dominion University173Lee Dumaliang '17
MonarchsAbigail Lockler '18
*15Connecticut CollegeConnecticut College184Emilia Clementi '18
CamelsElaina Lambright '191-12
Albert Rodiger '1813-16
*16Boston UniversityBoston University184Charles Welsh '18
TerriersDanielle Stonely '17
17NY MaritimeSUNY Maritime College228James Keegan '16
PrivateersJames Broyles '19
Sym.Explanation
*Number of high-place (1) finishes

Score history

The following chart shows the relative rank of the teams as of the race indicated.

The first place team as of a given race will always be at the top of the chart. The spacing from one team to the next shows relative gains/losses made from one race to the next. You may hover over the data points to display the total score as of that race.

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