| # | School | Team | A | B | TOT | |
|---|---|---|---|---|---|---|
| 1 | Texas A&M University at Galveston | Aggies | 34 | 15 | 49 | |
| 2 | University of North Texas | North Texas | 12 | 39 | 51 | |
| 3 | Texas A&M University | Aggies | 27 | 27 | 54 | |
| 4 | Tulane University | Green Wave | 23 | 36 | 59 | |
| 5 | University of Texas | Longhorns 1 | 41 | 21 | 62 | |
| 6 | University of Central Oklahoma | Bronchos | 42 | 50 | 92 | |
| 7 | University of Texas | Longhorns 2 | 51 | 41 | 92 | |
| 8 | Loyola University New Orleans | Wolfpack | 55 | 60 | 115 |
| School | Team | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | TOT | Sailors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Texas A&M University at Galveston | Aggies | 2 | 2 | 2 | 2 | 1 | 1 | 3 | 2 | 15 | Andrew Essenburgh '19 Hayden Montoya '21 |
|
| University of Texas | Longhorns 1 | 3 | 1 | 1 | 3 | 2 | 5 | 1 | 5 | 21 | Caroline Bik '19 [1-8] Lillian Andersen '21 [1-2, 5-6] Mariana Caldas '20 [3-4, 7-8] |
|
| Texas A&M University | Aggies | 1 | 3 | DSQ | 1 | 3 | 4 | 5 | 1 | 27 | Meiling Chan Chow '20 [1-4] Alexandra Oyston '18 [5-8] Gabby Spring '20 [1-2, 5-8] Shelby Click '18 [3-4] |
|
| Tulane University | Green Wave | 6 | 6 | 3 | 5 | 6 | 3 | 4 | 3 | 36 | Sean Tichenor '21 [1-2, 5-6] Clementine Furber '21 [3-4, 7-8] Kate Lenhard '21 [1-2, 5-6] William Hoover '20 [3-4, 7-8] |
|
| University of North Texas | North Texas | 4 | 4 | 5 | 4 | 5 | 2 | 8 | 7 | 39 | Emma Cooledge '20 [1-8] Dominique Sarquis Peillard '20 [1-2, 7-8] Michael Coyle '20 [3-4] Adithya Pillai '17 [5-6] |
|
| University of Texas | Longhorns 2 | 5 | 5 | 6 | 6 | 7 | 6 | 2 | 4 | 41 | Carter Young '20 [1-2, 5-6] Aaron Comen '18 [3-4, 7-8] Frederik Winguth '21 [1-2, 5-6] Jordin Perry '20 [3-4, 7-8] |
|
| University of Central Oklahoma | Bronchos | 7 | 8 | 4 | 7 | 4 | 7 | 7 | 6 | 50 | Jordan Johnson '18 Cheyenne Christy '19 |
|
| Loyola University New Orleans | Wolfpack | 8 | 7 | 7 | 8 | 8 | 8 | 6 | 8 | 60 | Amy Waguespack '20 [1-8] Vanessa Tetzlaff '21 [1-2, 5-6] Natalie Kulka '21 [3-4, 7-8] |
| Team | 1A | 2A | 3A | 4A | 5A | 6A | 7A | 8A | |
|---|---|---|---|---|---|---|---|---|---|
| University of Central Oklahoma Bronchos | 6 | 6 | 8 | 8 | 1 | 1 | 3 | 3 | |
| Loyola University New Orleans Wolfpack | 1 | 1 | 3 | 3 | 6 | 6 | 8 | 8 | |
| University of North Texas North Texas | 7 | 7 | 9 | 9 | 2 | 2 | 4 | 4 | |
| University of Texas Longhorns 1 | 8 | 8 | 1 | 1 | 3 | 3 | 6 | 6 | |
| University of Texas Longhorns 2 | 9 | 9 | 2 | 2 | 4 | 4 | 7 | 7 | |
| Texas A&M University Aggies | 2 | 2 | 4 | 4 | 7 | 7 | 9 | 9 | |
| Texas A&M University at Galveston Aggies | 3 | 3 | 6 | 6 | 8 | 8 | 1 | 1 | |
| Tulane University Green Wave | 4 | 4 | 7 | 7 | 9 | 9 | 2 | 2 |
| Team | 1B | 2B | 3B | 4B | 5B | 6B | 7B | 8B | |
|---|---|---|---|---|---|---|---|---|---|
| University of Central Oklahoma Bronchos | 7 | 7 | 9 | 9 | 2 | 2 | 4 | 4 | |
| Loyola University New Orleans Wolfpack | 2 | 2 | 4 | 4 | 7 | 7 | 9 | 9 | |
| University of North Texas North Texas | 8 | 8 | 1 | 1 | 3 | 3 | 6 | 6 | |
| University of Texas Longhorns 1 | 9 | 9 | 2 | 2 | 4 | 4 | 7 | 7 | |
| University of Texas Longhorns 2 | 1 | 1 | 3 | 3 | 6 | 6 | 8 | 8 | |
| Texas A&M University Aggies | 3 | 3 | 6 | 6 | 8 | 8 | 1 | 1 | |
| Texas A&M University at Galveston Aggies | 4 | 4 | 7 | 7 | 9 | 9 | 2 | 2 | |
| Tulane University Green Wave | 6 | 6 | 8 | 8 | 1 | 1 | 3 | 3 |
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 ±0.08 means a rating gap counts about 7% 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.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.