CCYC Spring Opener

# SchoolTeam A B TOT
1 Texas A&M University Texas A&M University Aggies 1 14 26 40
2 Texas A&M University at Galveston Texas A&M University at Galveston Sea Aggies 1 31 28 59
3 Rice University Rice University Owls 29 35 64
4 Texas A&M University at Corpus Christi Texas A&M University at Corpus Christi Islanders 31 34 65
5 Texas A&M University Texas A&M University Aggies 2 35 60 95
6 Texas A&M University at Galveston Texas A&M University at Galveston Sea Aggies 2 57 48 105
7 University of Texas University of Texas Longhorns 2 66 MRP 47 MRP 113 MRP
8 University of Texas University of Texas Longhorns 1 72 MRP 51 MRP 123 MRP
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Texas A&M University Texas A&M University Aggies 1 1 1 3 1 2 1 1 4 14 Scott Mather '27
Evelyn Dubois '27
Rice University Rice University Owls DNF DNF 1 4 1 2 2 1 29 Joe Slipper '28
Oliver Zhu '28
Texas A&M University at Corpus Christi Texas A&M University at Corpus Christi Islanders 2 4 6 5 3 6 3 2 31 Nicholas Carew '27 [1-8]
Noah Aycock '26 [1-2]
Oliver Anderson '28 [3-8]
Texas A&M University at Galveston Texas A&M University at Galveston Sea Aggies 1 3 2 4 2 5 4 5 6 31 Jacob Granberry '26
Isabella Mattison '25
Texas A&M University Texas A&M University Aggies 2 DNF 5 2 3 6 3 4 3 35 Drew Gourley '27
Caden Gerhart '27
Texas A&M University at Galveston Texas A&M University at Galveston Sea Aggies 2 5 7 8 7 8 8 7 7 57 Jack Meyer '27
Eduardo Lastra '28
University of Texas University of Texas Longhorns 2 4 6 7 6 4 5 6 8 66 MRP Mark Carella '27
Pascal Stevens '27
University of Texas University of Texas Longhorns 1 DNF 3 5 8 7 7 8 5 72 MRP Oliver Fenner '26
Luke Thistlethwaite '25
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Texas A&M University Texas A&M University Aggies 1 4 2 4 1 6 4 1 4 26 Zachary Aronson '27
Menya Bird '26
Texas A&M University at Galveston Texas A&M University at Galveston Sea Aggies 1 3 7 1 3 5 1 6 2 28 Ethan Polsen '27 [1-8]
Stetson Mcdonald '28 [1-4]
Colton Oliver '28 [5-8]
Texas A&M University at Corpus Christi Texas A&M University at Corpus Christi Islanders OCS 4 6 6 1 5 2 1 34 Maddy Lee '27
Destini Sanchez-Warren '27
Rice University Rice University Owls 2 3 5 4 7 7 4 3 35 Arthur Unger '25 [1-8]
Aidan Murphy '25 [1-2, 5-8]
Lindsey Frost '26 [3-4]
University of Texas University of Texas Longhorns 2 5 5 2 2 3 2 3 5 47 MRP Dennis Kostjuhin '27
Reema Nannapaneni '27
Texas A&M University at Galveston Texas A&M University at Galveston Sea Aggies 2 6 6 3 7 4 6 8 8 48 Macie Bettis '28
Grace Mamaloukas '26
University of Texas University of Texas Longhorns 1 1 1 8 5 2 3 5 6 51 MRP Kate Lyon '28
Rohit Rajan '26
Texas A&M University Texas A&M University Aggies 2 7 8 7 8 8 8 7 7 60 Canaan Cortes '26
Zachary Angerman '26
Boat Speed Analyzer
SlowExpected boat effectFast
−0.120+0.12
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 Fall 2019 (3 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

Team1A2A3A4A5A6A7A8A
Rice UniversityRice University Owls1155991111
University of TexasUniversity of Texas Longhorns 11111115599
University of TexasUniversity of Texas Longhorns 2121233881010
Texas A&M UniversityTexas A&M University Aggies 1338810101212
Texas A&M UniversityTexas A&M University Aggies 25599111111
Texas A&M University at Corpus ChristiTexas A&M University at Corpus Christi Islanders881010121233
Texas A&M University at GalvestonTexas A&M University at Galveston Sea Aggies 19911111155
Texas A&M University at GalvestonTexas A&M University at Galveston Sea Aggies 2101012123388

Division B

Team1B2B3B4B5B6B7B8B
Rice UniversityRice University Owls338810101212
University of TexasUniversity of Texas Longhorns 1121233881010
University of TexasUniversity of Texas Longhorns 21155991111
Texas A&M UniversityTexas A&M University Aggies 15599111111
Texas A&M UniversityTexas A&M University Aggies 2881010121233
Texas A&M University at Corpus ChristiTexas A&M University at Corpus Christi Islanders9911111155
Texas A&M University at GalvestonTexas A&M University at Galveston Sea Aggies 1101012123388
Texas A&M University at GalvestonTexas A&M University at Galveston Sea Aggies 21111115599

Conditions — 02/22/2025 (8am–6pm)

🌦️Light drizzle
Humidity 80%  ·  Pressure 1027.7 hPa

Temperature

41°F
↑ 44°F   ↓ 37°F
Feels like 33°F

Wind

● from   ▲ toward
9.7 kn
avg  ·  max 11.1 kn
Gusts to 24.5 kn
From NNW (348°)

Sky & Precipitation

Cloud cover100% Sunshine0.0 hrs Humidity80% Pressure1027.7 hPa Rain0.11 in

Orderliness — underdogs or favourites?

Breeze: N 13 kn · N 6 kn (scorer’s report)
In this breeze at Texas A&M C. Christ: a strongly favourites’ day (+0.10)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.09 (a softer or greener fleet makes the ratings stick) · combined forecast +0.19
Actual: about typical, within noise (+0.23 ± 0.20)

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 ±0.10 means a rating gap counts about 9% 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 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 →