| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Stanford University | Cardinal | 15–0 | |
| 2 | Tulane University | Green Wave | 11–4 | |
| 3 | U. S. Coast Guard Academy | Bears | 7–8 | |
| 4 | College of Charleston | Cougars | 6–9 | |
| 5 | University of South Florida | Bulls | 4–11 | |
| 6 | Jacksonville University | Fins | 2–13 |
Each side is the sum of its three boats (the skipper's fleet rating times 0.72 plus a team race offset learned from their past matches, plus the crew's offset and a small experience term) plus the school's team race strength and a home-water edge for the host. The win probability is a logistic function of the difference. The forecast was made before the event: the model was refitted on every match sailed before the first day, with fleet ratings as of the week before.
Fitted on the 19,057 team race matches sailed before 2023-03-04, using the line-ups that actually raced. It called 38 of 45 matches (84%) with a log-loss of 0.382 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.05 ± 0.27: a typical event, more orderly than 48% of college team race events (temperature of the forecast log-odds that best fits the results, relative to the league average; nothing about the field, venue or wind predicts it, see the Weather tab). vs forecast is a team's wins minus the wins the model expected from the matches it sailed: positive means it beat its rating.
For each side, the performance strength is the value that would have made its record least surprising: the strength at which the model's expected wins over exactly these opponents equal the actual wins, with every opponent fixed at its pre-event strength. For a skipper, the same shift is applied only to their boat in the matches they sailed, with team-mates and opponents fixed; team-mates who sailed every match together therefore get the same number. Surprise is in bits: -log2 of the probability of the record at the pre-event strength minus the same at the performance strength. P(this good or better) treats matches as independent coin flips at the model's pre-event probabilities, so it ignores form within the day; read it as a rough guide.
Pre-event strength against the strength that would have made each record least surprising, everything else fixed. Δ is in the model's logit units, the same scale as the boat values above (a side is three boats plus the school term); green is a clear over-performance, red a clear under-performance. Skippers need three or more matches.
| Place | School | Strength | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| 1 | Stanford University | 11.03 | 14.03 | 15–0 | 14.5 | ≥+3.00 | 0.7 | 61% |
| 3 | U. S. Coast Guard Academy | 6.76 | 7.74 | 7–8 | 4.7 | +0.98 | 1.6 | 12% |
| 2 | Tulane University | 8.47 | 9.20 | 11–4 | 9.7 | +0.73 | 0.6 | 30% |
| 5 | University of South Florida | 6.39 | 6.59 | 4–11 | 3.6 | +0.19 | 0.1 | 50% |
| 6 | Jacksonville University | 6.32 | 5.60 | 2–13 | 3.3 | −0.71 | 0.6 | 90% |
| 4 | College of Charleston | 8.25 | 6.90 | 6–9 | 9.2 | −1.35 | 3.2 | 99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Hannah Freeman | Stanford University | 3.34 | 6.34 | 15–0 | 14.5 | ≥+3.00 | 0.7 | 61% |
| Conneely Julia | U. S. Coast Guard Academy | 1.28 | 2.26 | 7–8 | 4.7 | +0.98 | 1.6 | 12% |
| Mia Hanes | Tulane University | 2.32 | 3.05 | 11–4 | 9.7 | +0.73 | 0.6 | 30% |
| Ciara Rodriguez-Horan | Tulane University | 3.32 | 4.06 | 11–4 | 9.7 | +0.73 | 0.6 | 30% |
| Agija Elerte | Jacksonville University | 1.84 | 1.13 | 2–13 | 3.3 | −0.71 | 0.6 | 90% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Cardinal | Wave | Bears | Cougars | Bulls | Fins | |
|---|---|---|---|---|---|---|---|---|
| Stanford University Cardinal | 5–0 | ✕ | W | W | W | W | W | |
| Tulane University Green Wave | 4–1 | L | ✕ | W | W | W | W | |
| U. S. Coast Guard Academy Bears | 2–3 | L | L | ✕ | L | W | W | |
| College of Charleston Cougars | 2–3 | L | L | W | ✕ | L | W | |
| University of South Florida Bulls | 1–4 | L | L | L | W | ✕ | L | |
| Jacksonville University Fins | 1–4 | L | L | L | L | W | ✕ |
| Team | Rec. | Cardinal | Wave | Bears | Cougars | Bulls | Fins | |
|---|---|---|---|---|---|---|---|---|
| Stanford University Cardinal | 5–0 | ✕ | W | W | W | W | W | |
| Tulane University Green Wave | 4–1 | L | ✕ | W | W | W | W | |
| U. S. Coast Guard Academy Bears | 2–3 | L | L | ✕ | W | W | L | |
| College of Charleston Cougars | 2–3 | L | L | L | ✕ | W | W | |
| University of South Florida Bulls | 1–4 | L | L | L | L | ✕ | W | |
| Jacksonville University Fins | 1–4 | L | L | W | L | L | ✕ |
| Team | Rec. | Cardinal | Wave | Bears | Cougars | Bulls | Fins | |
|---|---|---|---|---|---|---|---|---|
| Stanford University Cardinal | 5–0 | ✕ | W | W | W | W | W | |
| Tulane University Green Wave | 3–2 | L | ✕ | W | W | L | W | |
| U. S. Coast Guard Academy Bears | 3–2 | L | L | ✕ | W | W | W | |
| College of Charleston Cougars | 2–3 | L | L | L | ✕ | W | W | |
| University of South Florida Bulls | 2–3 | L | W | L | L | ✕ | W | |
| Jacksonville University Fins | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Cardinal | 1-2-3 | def. | Fins | 4-5-6 | ||
| 2 | Green Wave | 1-2-3 | def. | Cougars | 4-5-6 | ||
| 3 | Bears | 2-3-5 | def. | Bulls | 1-4-6 | ||
| 4 | Cougars | 1-2-5 | def. | Fins | 3-4-6 | ||
| 5 | Cardinal | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 6 | Green Wave | 1-2-4 | def. | Bears | 3-5-6 | ||
| 7 | Bulls | 1-3-6 | def. | Cougars | 2-4-5 | ||
| 8 | Green Wave | 1-2-5 | def. | Fins | 3-4-6 | ||
| 9 | Cardinal | 1-2-4 | def. | Bears | 3-5-6 | ||
| 10 | Green Wave | 1-3-4 | def. | Bulls | 2-5-6 | ||
| 11 | Cardinal | 1-2-5 | def. | Cougars | 3-4-6 | ||
| 12 | Bears | 1-2-6 | def. | Fins | 3-4-5 | ||
| 13 | Cardinal | 1-3-5 | def. | Green Wave | 2-4-6 | ||
| 14 | Fins | 1-2-6 | def. | Bulls | 3-4-5 | ||
| 15 | Cougars | 2-3-4 | def. | Bears | 1-5-6 | ||
| 16 | Cardinal | 1-2-5 | def. | Fins | 3-4-6 | ||
| 17 | Green Wave | 2-3-4 | def. | Cougars | 1-5-6 | ||
| 18 | Bears | 2-3-4 | def. | Bulls | 1-5-6 | ||
| 19 | Cougars | 1-2-3 | def. | Fins | 4-5-6 | ||
| 20 | Cardinal | 1-2-5 | def. | Bulls | 3-4-6 | ||
| 21 | Green Wave | 1-2-3 | def. | Bears | 4-5-6 | ||
| 22 | Cougars | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 23 | Green Wave | 1-2-3 | def. | Fins | 4-5-6 | ||
| 24 | Cardinal | 2-3-4 | def. | Bears | 1-5-6 | ||
| 25 | Green Wave | 1-2-5 | def. | Bulls | 3-4-6 | ||
| 26 | Cardinal | 1-2-3 | def. | Cougars | 4-5-6 | ||
| 27 | Fins | 2-3-4 | def. | Bears | 1-5-6 | ||
| 28 | Cardinal | 1-2-5 | def. | Green Wave | 3-4-6 | ||
| 29 | Bulls | 1-3-5 | def. | Fins | 2-4-6 | ||
| 30 | Bears | 2-3-5 | def. | Cougars | 1-4-6 | ||
| 31 | Cardinal | 1-2-3 | def. | Fins | 4-5-6 | ||
| 32 | Cougars | 1-2-6 | def. | Bulls | 3-4-5 | ||
| 33 | Green Wave | 2-3-4 | def. | Bears | 1-5-6 | ||
| 34 | Cardinal | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 35 | Bears | 1-3-5 | def. | Fins | 2-4-6 | ||
| 36 | Green Wave | 1-2-4 | def. | Cougars | 3-5-6 | ||
| 37 | Cardinal | 1-2-4 | def. | Bears | 3-5-6 | ||
| 38 | Bulls | 1-2-5 | def. | Green Wave | 3-4-6 | ||
| 39 | Cougars | 1-2-4 | def. | Fins | 3-5-6 | ||
| 40 | Bears | 1-3-4 | def. | Bulls | 2-5-6 | ||
| 41 | Green Wave | 1-3-4 | def. | Fins | 2-5-6 | ||
| 42 | Cardinal | 1-2-5 | def. | Cougars | 3-4-6 | ||
| 43 | Bulls | 1-2-5 | def. | Fins | 3-4-6 | ||
| 44 | Bears | 2-3-4 | def. | Cougars | 1-5-6 | ||
| 45 | Cardinal | 1-2-6 | def. | Green Wave | 3-4-5 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Stanford University | Cardinal | Hannah Freeman '24 Michelle Lahrkamp '23 Vanessa Lahrkamp '26 |
Patricia Gerli '23 Ellie Harned '26 Abigail Tindall '23 |
|
| Tulane University | Green Wave | Caroline Benson '23 Ciara Rodriguez-Horan '22 Mia Hanes '24 |
Ellie Spearman '25 Lydia Brown '23 Abigail Borggaard '24 |
|
| U. S. Coast Guard Academy | Bears | Conneely Julia '26 Emily Bornarth '24 Emma Snead '23 |
Leonora Krajewski '23 Mia Quinlan '24 Lauren O'Neill '24 Laura Slovensky '25 |
|
| College of Charleston | Cougars | Emily Alfortish '25 Emma Tallman '25 Grace Squires '24 |
Chloe Hudgins '24 Roxanne Snyder '23 Kalea Woodard '24 |
|
| University of South Florida | Bulls | Emma Shakespeare '24 Heidi Hicks '25 Kay Brunsvold '25 Sydney Monahan '23 |
Jewel "Min Min" Kelly '24 Saleta Powell '25 Olivia Smith '23 |
|
| Jacksonville University | Fins | Agija Elerte '26 Emily Allen '25 Kaitlyn Liebel '26 |
Ella Bilow '26 Reagan Carris '26 Kayla Putzke '24 |
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 ±0.00 means a rating gap counts about 1% less 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.