| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Jacksonville University | Fins | 9–1 | |
| 2 | University of South Florida | Bulls | 7–3 | |
| 3 | University of South Florida | Bulls Women | 6–4 | |
| 4 | Jacksonville University | Dolphins | 5–5 | |
| 5 | Rollins College | Gold | 2–8 | |
| 6 | Rollins College | Blue | 1–9 |
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 21,728 team race matches sailed before 2023-10-14, using the line-ups that actually raced. It called 2 of 2 matches (100%) with a log-loss of 0.450 (a coin flip scores 0.693), so the event went well for the forecast. vs forecast is a team's wins minus the wins the model expected from the matches it sailed: positive means it beat its rating.
| Place | School | Pred. | Strength | Boats (skipper / crew, boat value) | Pred. win % | Record | vs forecast |
|---|---|---|---|---|---|---|---|
| 2 | University of South Florida Bulls | 1 | 4.65 school −0.09 | Luke Justin / Colin Molnar Humberto Porrata / Dana Aljasir 2.14 No Show / Garrett Floerchinger | 64% | 2–0 (100%) | +0.7 |
| 3 | University of South Florida Bulls Women | 2 | 4.08 school −0.09 | Heidi Hicks / Madisen Hamai 1.65 Marina Dreyfuss / Saleta Powell No Show / Ochithya Fernando | 36% | 0–2 (0%) | −0.7 |
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) |
|---|---|---|---|---|---|---|---|---|
| 2 | University of South Florida Bulls | 4.65 | 7.65 | 2–0 | 1.3 | ≥+3.00 | 1.2 | 41% |
| 3 | University of South Florida Bulls Women | 4.08 | 1.08 | 0–2 | 0.7 | ≤−3.00 | 1.2 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| No Show | University of South Florida | 1.27 | 1.27 | 2–2 | 2.0 | −0.00 | 0.0 | 70% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Rd | # | Winner | Loser | P(winner) | |
|---|---|---|---|---|---|
| 1 | 11 | University of South Florida Bulls | University of South Florida Bulls Women | 63% | |
| 2 | 19 | University of South Florida Bulls | University of South Florida Bulls Women | 64% |
| Team | Rec. | Fins | Bulls | Women | Dolphins | Gold | Blue | |
|---|---|---|---|---|---|---|---|---|
| Jacksonville University Fins | 7–3 | ✕ | W | W | ✕ | W | W | |
| University of South Florida Bulls | 7–3 | L | ✕ | ✕ | L | W | W | |
| University of South Florida Bulls Women | 7–3 | L | ✕ | ✕ | L | W | W | |
| Jacksonville University Dolphins | 7–3 | ✕ | W | W | ✕ | W | W | |
| Rollins College Gold | 1–9 | L | L | L | L | ✕ | ✕ | |
| Rollins College Blue | 1–9 | L | L | L | L | ✕ | ✕ |
| Team | Rec. | Fins | Bulls | Women | Dolphins | Gold | Blue | |
|---|---|---|---|---|---|---|---|---|
| Jacksonville University Fins | 7–3 | ✕ | W | W | ✕ | L | L | |
| University of South Florida Bulls | 6–4 | L | ✕ | ✕ | L | W | W | |
| University of South Florida Bulls Women | 6–4 | L | ✕ | ✕ | L | W | W | |
| Jacksonville University Dolphins | 7–3 | ✕ | W | W | ✕ | L | L | |
| Rollins College Gold | 2–8 | W | L | L | W | ✕ | ✕ | |
| Rollins College Blue | 2–8 | W | L | L | W | ✕ | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Bulls Women | 1-2-5 | def. | Dolphins | 3-4-6 | ||
| 2 | Bulls | 1-2-5 | def. | Gold | 3-4-6 | ||
| 3 | Fins | 2-3-5 | def. | Blue | 1-4-6 | ||
| 4 | Bulls | 1-2-5 | def. | Dolphins | 3-4-6 | ||
| 5 | Bulls Women | 1-2-5 | def. | Blue | 3-4-6 | ||
| 6 | Fins | 1-2-5 | def. | Gold | 3-4-6 | ||
| 7 | Bulls | 1-2-5 | def. | Blue | 3-4-6 | ||
| 8 | Dolphins | 2-3-5 | def. | Gold | 1-4-6 | ||
| 9 | Fins | 1-2-5 | def. | Bulls Women | 3-4-6 | ||
| 10 | Gold | 1-2-5 | def. | Blue | 3-4-6 | ||
| 11 | Bulls | 1-2-5 | def. | Bulls Women | 3-4-6 | ||
| 12 | Fins | 1-2-5 | def. | Dolphins | 3-4-6 | ||
| 13 | Bulls Women | 2-3-5 | def. | Gold | 1-4-6 | ||
| 14 | Dolphins | 1-2-5 | def. | Blue | 3-4-6 | ||
| 15 | Fins | 1-3-5 | def. | Bulls | 2-4-6 | ||
| 16 | Bulls Women | 1-2-5 | def. | Dolphins | 3-4-6 | ||
| 17 | Bulls | 1-2-5 | def. | Gold | 3-4-6 | ||
| 18 | Fins | 1-2-5 | def. | Blue | 3-4-6 | ||
| 19 | Bulls | 1-2-5 | def. | Bulls Women | 3-4-6 | ||
| 20 | Dolphins | 1-2-5 | def. | Blue | 3-4-6 | ||
| 21 | Fins | 1-3-5 | def. | Gold | 2-4-6 | ||
| 22 | Bulls | 1-2-5 | def. | Blue | 3-4-6 | ||
| 23 | Bulls Women | 1-3-5 | def. | Gold | 2-4-6 | ||
| 24 | Dolphins | 2-3-5 | def. | Fins | 1-4-6 | ||
| 25 | Blue | 2-3-5 | def. | Gold | 1-4-6 | ||
| 26 | Dolphins | 1-3-5 | def. | Bulls | 2-4-6 | ||
| 27 | Fins | 1-2-5 | def. | Bulls Women | 3-4-6 | ||
| 28 | Gold | 1-2-5 | def. | Dolphins | 3-4-6 | ||
| 29 | Bulls Women | 1-2-5 | def. | Blue | 3-4-6 | ||
| 30 | Fins | 2-3-5 | def. | Bulls | 1-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Jacksonville University | Fins | Brent Penwarden '24 Stefanos Pappas '25 |
Hank Seum '27 Cole Schweda '27 |
|
| University of South Florida | Bulls | Humberto Porrata '25 Luke Justin '25 No Show |
Dana Aljasir '27 Colin Molnar '25 Garrett Floerchinger '26 |
|
| University of South Florida | Bulls Women | Heidi Hicks '25 Marina Dreyfuss '27 No Show |
Madisen Hamai '26 Saleta Powell '25 Ochithya Fernando '25 |
|
| Jacksonville University | Dolphins | Joe Seiffert '25 Patrick Barney '25 |
Allison Deptula '26 Lauren Turner '26 |
|
| Rollins College | Gold | Hilton Kamps '25 Jackson Mcgeough '25 |
Jane Mckenzie '27 Maggie Burnham '26 |
|
| Rollins College | Blue | Julia Scott '27 Ka Hamner '26 |
Angelina Khourisader '23 Henry Campbell '25 |
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 ±0.04 means a rating gap counts about 3% 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.