Lone Star Regatta

Analysis
# SchoolTeam TOT
1 Tulane University Tulane University Green Wave 38
2 Texas A&M University Texas A&M University Aggies 72
3 Texas A&M University at Corpus Christi Texas A&M University at Corpus Christi Islanders 102
4 University of Texas University of Texas Longhorns 174
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Tulane University Tulane University Green Wave B 2 2 2 2 3 1 1 1 1 3 18 Merritt Sellers '30 [1-5]
Perrin Mueller '30 [6-10]
Maura Mcpartlin '29 [1-5]
Martha Hughes '28 [6-10]
Tulane University Tulane University Green Wave A 1 1 1 1 1 2 4 4 3 2 20 Eliza Corral '29 [1-5]
Paloma Arrigo '30 [6-10]
Jonah Wozniak '29 [1-5]
Texas A&M University Texas A&M University Aggies A 3 3 3 6 4 4 6 2 2 1 34 Korbin Bendele '29 [1-10]
Elisabeth Ritenour '27 [1-4]
Madisen Oberg '29 [5-10]
Texas A&M University Texas A&M University Aggies B 4 4 4 3 2 5 3 3 4 6 38 Drew Gourley '27 [1-10]
Jeffrey Souto '27 [1-8]
Elisabeth Ritenour '27 [9-10]
Texas A&M University at Corpus Christi Texas A&M University at Corpus Christi Islanders A 5 5 5 4 6 3 2 5 5 4 44 Sophia Koester '30
Kaley Kisiah '27
Texas A&M University at Corpus Christi Texas A&M University at Corpus Christi Islanders B 7 7 6 5 5 6 5 6 6 5 58 Lilyana Moody '30 [1-10]
Roe Chandler '29 [1-3]
Destini Sanchez-Warren '27 [4-10]
University of Texas University of Texas Longhorns A 6 6 DNF DNS DNS DNS DNS DNS DNS DNS 84 Mark Carella '27
Laura Cytrynowicz '30
University of Texas University of Texas Longhorns B DNS DNS DNS DNS DNS DNS DNS DNS DNS DNS 90 Karina Davis '29
Lara Bertelsmann '29
Boat Speed Analyzer
SlowExpected boat effectFast
−0.080+0.08
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 (10 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
University of TexasUniversity of Texas Longhorns4444444444
Texas A&M UniversityTexas A&M University Aggies1111111111
Texas A&M University at Corpus ChristiTexas A&M University at Corpus Christi Islanders2222222222
Tulane UniversityTulane University Green Wave3333333333

Division B

Team1B2B3B4B5B6B7B8B9B10B
University of TexasUniversity of Texas Longhorns8888888888
Texas A&M UniversityTexas A&M University Aggies5555555555
Texas A&M University at Corpus ChristiTexas A&M University at Corpus Christi Islanders6666666666
Tulane UniversityTulane University Green Wave7777777777
School / Team SkipperCrew
Texas A&M University Texas A&M University Korbin Bendele '29 [1-10] Elisabeth Ritenour '27 [1-4]
Madisen Oberg '29 [5-10]
Aggies Drew Gourley '27 [1-10] Jeffrey Souto '27 [1-8]
Elisabeth Ritenour '27 [9-10]
Texas A&M University at Corpus Christi Texas A&M University at Corpus Christi Sophia Koester '30 Kaley Kisiah '27
Islanders Lilyana Moody '30 [1-10] Roe Chandler '29 [1-3]
Destini Sanchez-Warren '27 [4-10]
Tulane University Tulane University Eliza Corral '29 [1-5]
Paloma Arrigo '30 [6-10]
Jonah Wozniak '29 [1-5]
Green Wave Merritt Sellers '30 [1-5]
Perrin Mueller '30 [6-10]
Maura Mcpartlin '29 [1-5]
Martha Hughes '28 [6-10]
University of Texas University of Texas Mark Carella '27 Laura Cytrynowicz '30
Longhorns Karina Davis '29 Lara Bertelsmann '29

Conditions — 09/12/2026 (8am–6pm)

🌤️Mainly clear
Humidity 65%  ·  Pressure 1012.0 hPa

Temperature

90°F
↑ 92°F   ↓ 83°F
Feels like 97°F

Wind

● from   ▲ toward
11.9 kn
avg  ·  max 13.8 kn
Gusts to 31.7 kn
From SSE (156°)

Sky & Precipitation

Cloud cover50% Sunshine10.6 hrs Humidity65% Pressure1012.0 hPa

What this breeze does at Texas A&M C. Christ — from fleet racing

Breeze: SE about 13 kn (weather reanalysis in the scorer’s units)
In fleet races at Texas A&M C. Christ in this breeze: a strongly favourites’ day (+0.16)
Favourites’ conditions: in fleet racing here the results follow the ratings more closely than usual, and the top seeds hold their places.

Orderliness is how tightly a fleet race’s finishing order follows the pre-regatta ratings, relative to a typical event (0): positive is the favourites’ day, negative the underdogs’. A value of ±0.16 means a rating gap counts about 14% more than on a typical day. This event is not a fleet race the rating model scores, so there is no actual value for it: this is what this venue’s fleet racing history says about the breeze on the day, read off the chart at the star. How this is estimated · compare venues.

Orderliness beyond the fleet at Texas A&M C. Christ by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 11 labelled days at Texas A&M C. Christ, 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 →