35th Yale Women's Intersectional

Scores for Division B

TeamTotalSailors
1YaleYale University83Marly Isler '16
BulldogsCharlotte Belling '16
2Coast GuardU. S. Coast Guard Academy85Dana Rohde '18
BearsSavannah Kuntz '171-8
Clara Robertson (Yale PR14c) '17 *9-14
3StanfordStanford University91Elena VandenBerg '18
CardinalSarah Lucas '18
4VermontUniversity of Vermont92Amina Brown '17
CatamountsLauren Jones '15
5HarvardHarvard University94Sophie Bermudez '16
CrimsonAshleigh Inglis '15
6BrownBrown University96Kelly McGlynn '15
BearsOlivia Lord '171-8
Ragna Eide '169-14
7DartmouthDartmouth College125Margaret Kilvert '18
Big GreenHope Wilson '16
8Rhode IslandUniversity of Rhode Island129Mackenzie Needham '151-12
Sarah Hermus '1813-14
RamsNellie Hamilton '161-10
Sarah Leonard '1711-14
9St. Mary'sSt. Mary's College of Maryland130Carolyn Smith '17
SeahawksJulia Monro '17
10GeorgetownGeorgetown University131Mary Kate Mezzetti '16
HoyasKatie Olsen '15
11MITMassachusetts Institute of Technology149Laura Dunphy '15
EngineersLisa Sukharev-Chuyan '161-10
Jamila Smith-Dell '1611-14
12George WashingtonGeorge Washington University151India Johnstone '18
ColonialsShira Golub '18
13Boston CollegeBoston College158Fiona Walsh '17
EaglesEmily Schalka '15
14BowdoinBowdoin College159Courtney Koos '16
Polar BearsFrances Jimenez '161-10
Sydney Avitia-Jacques '1811-14
*15Connecticut CollegeConnecticut College171Alexandra Romagnoli '151-6
Emilia Clementi '187-14
CamelsLea Bushnell '151-6
Alexandra Maurillo '187-14
*16South FloridaUniversity of South Florida171Alison Knoles '17
BullsKayla Burrows '17
17Old DominionOld Dominion University190Sarah Streater '18
MonarchsCady Johnson '16
18Boston UniversityBoston University192Lindsey Kennett '15
TerriersMargaret Swanson '161-8
Sym.Explanation
*Head-to-head tiebreaker

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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