| # | School | Team | A | TOT | |
|---|---|---|---|---|---|
| 1 | Tulane University | Green Wave | 1 | 1 | |
| 2 | University of Texas | Longhorns | 2 | 2 |
| School | Team | R1 | TOT | |
|---|---|---|---|---|
| Tulane University | Green Wave | 1 | 1 | |
| University of Texas | Longhorns | 2 | 2 |
| School | Team | Sailors | |
|---|---|---|---|
| Tulane University | Green Wave | SkipperCameron Giblin '23 CrewAbigail Borggaard '24 CrewMia Hanes '24 CrewWilliam Keenan '23 |
|
| University of Texas | Longhorns | SkipperKarina Bertelsmann '22 CrewTheresa McComiskey '22 CrewThomas Norman '23 CrewWarren Wegener '23 |
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 ±0.09 means a rating gap counts about 7% 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.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.