Jeremy A. Pinkerton Memorial Regatta

# SchoolTeam A B TOT
1 University of Virginia University of Virginia Wahoos 14 11 25
2 University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 24 50 74
3 American University American University Eagles 47 35 82
4 University of Maryland University of Maryland Terps 39 44 83
5 Penn State University Penn State University Nittany Lions 43 48 91
6 Virginia Tech Virginia Tech Hokies 67 36 103
7 William and Mary William and Mary Tribe 50 62 112
8 University of Delaware University of Delaware Blue Hens 90 90 180
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
University of Virginia University of Virginia Wahoos 1 1 1 1 4 1 1 1 2 1 14 Anna Groszkowski '26
Colin Miedler '26
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 2 2 3 2 1 2 2 3 4 3 24 Henry Powell '26 [1-10]
Kayla Smith '17 [1-2, 5-6]
Vaughan Hood '24 [3-4, 7-10]
University of Maryland University of Maryland Terps 5 5 5 4 6 6 3 2 1 2 39 Carter Saunders '25 [1-6]
Eric Garvey '23 [7-10]
Umd Test '25 [1-6]
Charlie Bullock '25 [7-10]
Penn State University Penn State University Nittany Lions 3 4 4 5 3 5 5 5 5 4 43 Joaquin Merino '26
John Murray Iii '27
American University American University Eagles 6 7 2 3 2 3 6 6 6 6 47 Thomas Clauson '26 [1-2, 7-8]
Karl Wagerson '24 [3-6]
Julia Kane '25 [9-10]
Julia Mitchell '23 [1-6]
Valentina Palma '26 [7-10]
William and Mary William and Mary Tribe 4 3 7 7 DNF 4 4 4 3 5 50 Alexa Bodor '26 [1-10]
Meredith Endres '26 [1-4]
Mason Guerster '26 [5-10]
Virginia Tech Virginia Tech Hokies DNF 6 6 6 5 7 7 7 7 7 67 Sam Springer '24 [1-6]
Ben Heller '26 [7-10]
Matt Averyt '24 [1-6]
Alexander Read '26 [7-10]
University of Delaware University of Delaware Blue Hens DNS DNS DNS DNS DNS DNS DNS DNS DNS DNS 90 No Show
No Show
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
University of Virginia University of Virginia Wahoos 1 1 1 2 1 1 1 1 1 1 11 Connor Lothrop '24 [1-2, 5-6, 9-10]
Lydia Sweeney '25 [3-4, 7-8]
Jonas Mendes '23 [1-2, 5-6, 9-10]
American University American University Eagles 2 2 6 3 5 5 2 3 3 4 35 Ryan Curtis '26 [1-6]
Anika Liner '25 [7-10]
Julia Kane '25 [1-6]
Virginia Tech Virginia Tech Hokies 4 3 2 1 3 4 4 4 6 5 36 Malik Deslauriers '24 [1-2, 9-10]
Elizabeth Heckler '26 [3-6]
Adam Ginsburg '25 [7-8]
Alexander Read '26 [1-2]
Cassie Brisbin '25 [3-6]
Daniel Langdon '26 [7-10]
University of Maryland University of Maryland Terps 5 5 3 4 6 3 6 6 4 2 44 Emma Retzlaff '25 [1-2]
Eric Garvey '23 [3-6]
Ethan Fox '23 [7-10]
Sage Leone '23 [1-2]
Umd Test '25 [3-6]
Naitik Gupta '25 [7-10]
Penn State University Penn State University Nittany Lions DNS DNS 5 5 4 6 3 2 2 3 48 Makenna Labor '25
Phyllip Gwozdz '25
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 3 4 DNS 7 2 2 7 5 5 6 50 Zachary Vance '23 [1-2, 5-6]
John Tis '24 [3-4, 7-10]
Hunter Sugg '23 [1-2]
Grace Hartman '24 [3-10]
William and Mary William and Mary Tribe 6 6 4 6 7 7 5 7 7 7 62 Shelby Woodward '25 [1-10]
Mason Guerster '26 [1-2]
Ava Pezzimenti '25 [3-8]
Meredith Endres '26 [9-10]
University of Delaware University of Delaware Blue Hens DNS DNS DNS DNS DNS DNS DNS DNS DNS DNS 90 No Show
No Show
Boat Speed Analyzer
SlowExpected boat effectFast
−0.060+0.06
Places per race a team should expect to gain or lose in this boat against what its sailors' ratings predict, from a model of this fleet fitted on every regatta sailed here since Spring 2016 (9 regattas). Shown at the 40% that holds up on regattas the model never saw; hover a sail for its value and uncertainty. Grey = boat not in the fit. How this is estimated.

Division A

Team1A2A3A4A5A6A7A8A9A10A
American UniversityAmerican University Eagles1133557711
University of DelawareUniversity of Delaware Blue Hens3355771133
University of MarylandUniversity of Maryland Terps4466882244
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers5577113355
Penn State UniversityPenn State University Nittany Lions2244668822
University of VirginiaUniversity of Virginia Wahoos6688224466
Virginia TechVirginia Tech Hokies7711335577
William and MaryWilliam and Mary Tribe8822446688

Division B

Team1B2B3B4B5B6B7B8B9B10B
American UniversityAmerican University Eagles2244668822
University of DelawareUniversity of Delaware Blue Hens4466882244
University of MarylandUniversity of Maryland Terps5577113355
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers6688224466
Penn State UniversityPenn State University Nittany Lions3355771133
University of VirginiaUniversity of Virginia Wahoos7711335577
Virginia TechVirginia Tech Hokies8822446688
William and MaryWilliam and Mary Tribe1133557711
School / Team SkipperCrew
American University American University Thomas Clauson '26 [1-2, 7-8]
Karl Wagerson '24 [3-6]
Julia Kane '25 [9-10]
Julia Mitchell '23 [1-6]
Valentina Palma '26 [7-10]
Eagles Ryan Curtis '26 [1-6]
Anika Liner '25 [7-10]
Julia Kane '25 [1-6]
Penn State University Penn State University Joaquin Merino '26 John Murray Iii '27
Nittany Lions Makenna Labor '25 Phyllip Gwozdz '25
University of Delaware University of Delaware No Show No Show
Blue Hens No Show No Show
University of Maryland University of Maryland Carter Saunders '25 [1-6]
Eric Garvey '23 [7-10]
Umd Test '25 [1-6]
Charlie Bullock '25 [7-10]
Terps Emma Retzlaff '25 [1-2]
Eric Garvey '23 [3-6]
Ethan Fox '23 [7-10]
Sage Leone '23 [1-2]
Umd Test '25 [3-6]
Naitik Gupta '25 [7-10]
University of Maryland/Baltimore County University of Maryland/Baltimore County Henry Powell '26 [1-10] Kayla Smith '17 [1-2, 5-6]
Vaughan Hood '24 [3-4, 7-10]
Retrievers Zachary Vance '23 [1-2, 5-6]
John Tis '24 [3-4, 7-10]
Hunter Sugg '23 [1-2]
Grace Hartman '24 [3-10]
University of Virginia University of Virginia Anna Groszkowski '26 Colin Miedler '26
Wahoos Connor Lothrop '24 [1-2, 5-6, 9-10]
Lydia Sweeney '25 [3-4, 7-8]
Jonas Mendes '23 [1-2, 5-6, 9-10]
Virginia Tech Virginia Tech Sam Springer '24 [1-6]
Ben Heller '26 [7-10]
Matt Averyt '24 [1-6]
Alexander Read '26 [7-10]
Hokies Malik Deslauriers '24 [1-2, 9-10]
Elizabeth Heckler '26 [3-6]
Adam Ginsburg '25 [7-8]
Alexander Read '26 [1-2]
Cassie Brisbin '25 [3-6]
Daniel Langdon '26 [7-10]
William and Mary William and Mary Alexa Bodor '26 [1-10] Meredith Endres '26 [1-4]
Mason Guerster '26 [5-10]
Tribe Shelby Woodward '25 [1-10] Mason Guerster '26 [1-2]
Ava Pezzimenti '25 [3-8]
Meredith Endres '26 [9-10]

Conditions — 04/08/2023 (8am–6pm)

☁️Overcast
Humidity 41%  ·  Pressure 1032.6 hPa

Temperature

49°F
↑ 52°F   ↓ 43°F
Feels like 41°F

Wind

● from   ▲ toward
6.2 kn
avg  ·  max 8.1 kn
Gusts to 16.7 kn
From ENE (60°)

Sky & Precipitation

Cloud cover100% Sunshine5.7 hrs Humidity41% Pressure1032.6 hPa

Orderliness — underdogs or favourites?

Breeze: NE 9 kn · E 7 kn (weather reanalysis in the scorer’s units)
In this breeze at Maryland: a favourites’ day (+0.05)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.13 (a softer or greener fleet makes the ratings stick) · combined forecast +0.18
Actual: about typical, within noise (+0.16 ± 0.17)

Orderliness is how tightly the finishing order followed the pre-regatta ratings, relative to a typical event (0). Positive is the favourites’ day: the ratings carried more weight than usual and the top seeds finished where expected. Negative is the underdogs’ day: the fleet compressed and the favourites came back to the pack. A value of ±0.05 means a rating gap counts about 4% more than on a typical day.

The breeze reading is the chart’s value at this regatta’s wind direction and speed (the star): this venue’s pattern of which directions bring order and which bring upsets, with breeze generally orderly and light air surprising. The fleet adjustment comes from the entry list: the stronger and more experienced the fleet, the more surprising the racing. How this is estimated · compare venues.

Orderliness beyond the fleet at Maryland by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 2 labelled days at Maryland, so the surface is mostly the all-venue pattern).

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →