Northwestern Invite

Scores for Division A

1WisconsinUniversity of Wisconsin28Andrew Fox '131-4
Michael Lee '145-6
Badgers 2Kirstin Reeser '15
2MinnesotaUniversity of Minnesota35Ryan Grosch '14
Minnesota Women 1Paige Boegeman '14
3UW MilwaukeeUniversity of Wisconsin Milwaukee38Ben Otten '11
PanthersHannah Noll '151-2,5-6
Kendra Lawrence '143-4
4MinnesotaUniversity of Minnesota39Alison Kent '16
Minnesota Women 2Lindsey Puccio '16
*5WisconsinUniversity of Wisconsin42Bridget Murphy '15
Badgers 3Caya McFalls '16
*6WisconsinUniversity of Wisconsin42Whitney Kent '15
Badgers 4Katie Hall '16
*7NorthwesternNorthwestern University49Robert Johnston '151-2
Michael Cornew '133-4
Ryan Anderson '155-6
WildcatsMegan McEvily '141-4
Molly Conroy '135-6
*8IllinoisUniversity of Illinois49Charles Diamond '15
IlliniEmily Slabe '151-4
Alexander Loch '125-6
9MichiganUniversity of Michigan66Rachel Barch '13
WolverinesKendall Witmer '15
**10MarquetteMarquette University67Davis Dolson '14
Golden EaglesCourtney Kronschnabel '15
**11Notre DameUniversity of Notre Dame67Kevin Condit '13
Fighting IrishConnor Burke '161-2,5-6
Bryan Enriquez '153-4
12MichiganUniversity of Michigan68Ryan Davidson '15
MaizeKathryn Ried '15
13WisconsinUniversity of Wisconsin69Peter Grimmer '161-4
Benjamin Reiland '155-6
Badgers 1Benjamin Reiland '151-4
Brendan Walsh '115-6
14MichiganUniversity of Michigan104Charles White '151-5
Tyler Weiss '156
BlueTyler Weiss '151-5
Charles White '156
15PurduePurdue UniversityMRP106Brian Rosensteel '13
BoilermakersMaria Krutikova '16
16CarletonCarleton CollegeMRP107Anders Betglund '15
KnightsRobert Chen '16
17ChicagoUniversity of ChicagoMRP110Melita Aquino '13
MaroonsRachelle Koch '16
*Head-to-head tiebreaker
**Number of high-place (2) 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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