| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Florida State University | Seminoles | 13–3 | |
| 2 | Rollins College | Tars | 13–3 | |
| 3 | The Citadel | Bulldogs | 10–6 | |
| 4 | Clemson University | Tigers | 10–6 | |
| 5 | University of Central Florida | Knights | 4–12 | |
| 6 | Florida Institute of Technology | Panthers | 5–13 | |
| 7 | Duke University | Blue Devils | 3–15 |
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 25,440 team race matches sailed before 2025-03-08, using the line-ups that actually raced. It called 34 of 40 matches (85%) with a log-loss of 0.349 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.11 ± 0.30: a typical event, more orderly than 55% 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) |
|---|---|---|---|---|---|---|---|---|
| 2 | Rollins College | 5.40 | 6.13 | 11–3 | 9.5 | +0.72 | 0.8 | 25% |
| 3 | The Citadel | 4.60 | 4.98 | 8–6 | 7.2 | +0.38 | 0.2 | 40% |
| 5 | University of Central Florida | 1.77 | 2.10 | 2–12 | 1.7 | +0.33 | 0.1 | 55% |
| 4 | Clemson University | 4.76 | 4.47 | 8–6 | 8.6 | −0.30 | 0.1 | 79% |
| 1 | Florida State University | 6.09 | 5.56 | 11–3 | 11.9 | −0.54 | 0.4 | 88% |
| 7 | Duke University | 1.33 | -1.67 | 0–10 | 1.0 | ≤−3.00 | 1.8 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| William Avery | Clemson University | 0.76 | 1.99 | 6–2 | 5.1 | +1.24 | 0.8 | 28% |
| Jackson Mcgeough | Rollins College | 1.74 | 2.46 | 11–3 | 9.5 | +0.72 | 0.8 | 25% |
| Kenneth Buck | The Citadel | 1.68 | 2.06 | 8–6 | 7.2 | +0.38 | 0.2 | 40% |
| Andrew Tollefson | The Citadel | 1.68 | 2.06 | 8–6 | 7.2 | +0.38 | 0.2 | 40% |
| Henry Parker | The Citadel | 1.04 | 1.42 | 8–6 | 7.2 | +0.38 | 0.2 | 40% |
| Julian Larsen | University of Central Florida | 0.73 | 1.06 | 2–12 | 1.7 | +0.33 | 0.1 | 55% |
| Rain Hong | University of Central Florida | -0.25 | 0.08 | 2–12 | 1.7 | +0.33 | 0.1 | 55% |
| Brady Parks | Florida State University | 1.65 | 1.11 | 11–3 | 11.9 | −0.54 | 0.4 | 88% |
| Kamron Kaiser | Florida State University | 1.47 | 0.93 | 11–3 | 11.9 | −0.54 | 0.4 | 88% |
| Jack Wigmore | Duke University | 0.32 | -2.68 | 0–10 | 1.0 | ≤−3.00 | 1.8 | >99% |
| Ryan Froeb | Duke University | 0.36 | -2.64 | 0–10 | 1.0 | ≤−3.00 | 1.8 | >99% |
| Kay Lyon | Duke University | 0.18 | -2.82 | 0–10 | 1.0 | ≤−3.00 | 1.8 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Seminoles | Tars | Bulldogs | Tigers | Knights | Panthers | Devils | |
|---|---|---|---|---|---|---|---|---|---|
| Florida State University Seminoles | 6–0 | ✕ | W | W | W | W | W | W | |
| Rollins College Tars | 5–1 | L | ✕ | W | W | W | W | W | |
| The Citadel Bulldogs | 4–2 | L | L | ✕ | W | W | W | W | |
| Clemson University Tigers | 3–3 | L | L | L | ✕ | W | W | W | |
| University of Central Florida Knights | 2–4 | L | L | L | L | ✕ | W | W | |
| Florida Institute of Technology Panthers | 1–6 | L | L | L | L | L | ✕ | L | |
| Duke University Blue Devils | 1–6 | L | L | L | L | L | W | ✕ |
| Team | Rec. | Seminoles | Tars | Bulldogs | Tigers | Knights | Panthers | Devils | |
|---|---|---|---|---|---|---|---|---|---|
| Florida State University Seminoles | 5–1 | ✕ | W | W | L | W | W | W | |
| Rollins College Tars | 4–2 | L | ✕ | W | L | W | W | W | |
| The Citadel Bulldogs | 3–3 | L | L | ✕ | L | W | W | W | |
| Clemson University Tigers | 6–0 | W | W | W | ✕ | W | W | W | |
| University of Central Florida Knights | 2–4 | L | L | L | L | ✕ | W | W | |
| Florida Institute of Technology Panthers | 1–6 | L | L | L | L | L | ✕ | W | |
| Duke University Blue Devils | 1–6 | L | L | L | L | L | L | ✕ |
| Team | Rec. | Panthers | Devils | |
|---|---|---|---|---|
| Florida Institute of Technology Panthers | 1–0 | ✕ | W | |
| Duke University Blue Devils | 0–1 | L | ✕ |
| Team | Rec. | Panthers | Devils | |
|---|---|---|---|---|
| Florida Institute of Technology Panthers | 1–0 | ✕ | W | |
| Duke University Blue Devils | 0–1 | L | ✕ |
| Team | Rec. | Seminoles | Tars | Bulldogs | Tigers | Knights | Panthers | Devils | |
|---|---|---|---|---|---|---|---|---|---|
| Florida State University Seminoles | 2–2 | ✕ | L | L | W | W | – | – | |
| Rollins College Tars | 4–0 | W | ✕ | W | W | W | – | – | |
| The Citadel Bulldogs | 3–1 | W | L | ✕ | W | W | – | – | |
| Clemson University Tigers | 1–3 | L | L | L | ✕ | W | – | – | |
| University of Central Florida Knights | 0–4 | L | L | L | L | ✕ | – | – | |
| Florida Institute of Technology Panthers | 1–0 | – | – | – | – | – | ✕ | W | |
| Duke University Blue Devils | 0–1 | – | – | – | – | – | L | ✕ |
| Team | Rec. | Panthers | Devils | |
|---|---|---|---|---|
| Florida Institute of Technology Panthers | 0–1 | ✕ | L | |
| Duke University Blue Devils | 1–0 | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Tars | 1-2-3 | def. | Blue Devils | 4-5-6 | ||
| 2 | Tigers | 1-2-4 | def. | Knights | 3-5-6 | ||
| 3 | Seminoles | 1-2-3 | def. | Panthers | 4-5-6 | ||
| 4 | Bulldogs | 1-2-6 | def. | Blue Devils | 3-4-5 | ||
| 5 | Tars | 1-3-6 | def. | Tigers | 2-4-5 | ||
| 6 | Knights | 1-4-5 | def. | Panthers | 2-3-6 | ||
| 7 | Seminoles | 1-2-6 | def. | Bulldogs | 3-4-5 | ||
| 8 | Tigers | 1-2-3 | def. | Blue Devils | 4-5-6 | ||
| 9 | Tars | 1-2-5 | def. | Panthers | 3-4-6 | ||
| 10 | Seminoles | 1-2-5 | def. | Knights | 3-4-6 | ||
| 11 | Bulldogs | 1-2-5 | def. | Tigers | 3-4-6 | ||
| 12 | Panthers | 1-2-6 DNF | def. | Blue Devils | 3-4-5 | ||
| 13 | Seminoles | 1-2-5 | def. | Tars | 3-4-6 | ||
| 14 | Bulldogs | 1-2-4 | def. | Knights | 3-5-6 | ||
| 15 | Tigers | 1-2-6 | def. | Panthers | 3-4-5 | ||
| 16 | Seminoles | 1-2-4 | def. | Blue Devils | 3-5-6 | ||
| 17 | Tars | 1-2-3 | def. | Knights | 4-5-6 | ||
| 18 | Bulldogs | 1-2-6 | def. | Panthers | 3-4-5 | ||
| 19 | Seminoles | 1-2-6 | def. | Tigers | 3-4-5 | ||
| 20 | Knights | 1-3-4 | def. | Blue Devils | 2-5-6 DNF | ||
| 21 | Tars | 1-2-6 | def. | Bulldogs | 3-4-5 | ||
| 53 | Blue Devils | 2-3-5 | def. | Panthers | 1-4-6 | ||
| 22 | Tars | 1-2-5 | def. | Blue Devils | 3-4-6 | ||
| 23 | Tigers | 1-2-4 | def. | Knights | 3-5-6 | ||
| 24 | Seminoles | 1-2-4 | def. | Panthers | 3-5-6 | ||
| 25 | Bulldogs | 1-2-6 DNF | def. | Blue Devils | 3-4-5 | ||
| 26 | Tigers | 1-2-5 | def. | Tars | 3-4-6 | ||
| 27 | Knights | 1-3-6 | def. | Panthers | 2-4-5 | ||
| 28 | Seminoles | 2-3-4 | def. | Bulldogs | 1-5-6 | ||
| 29 | Tigers | 1-2-4 | def. | Blue Devils | 3-5-6 | ||
| 30 | Tars | 2-3-4 | def. | Panthers | 1-5-6 | ||
| 31 | Seminoles | 1-4-5 | def. | Knights | 2-3-6 | ||
| 32 | Tigers | 1-2-5 | def. | Bulldogs | 3-4-6 | ||
| 33 | Blue Devils | 1-3-4 | def. | Panthers | 2-5-6 | ||
| 34 | Seminoles | 1-3-5 | def. | Tars | 2-4-6 | ||
| 35 | Bulldogs | 1-2-4 | def. | Knights | 3-5-6 | ||
| 36 | Tigers | 1-2-6 | def. | Panthers | 3-4-5 | ||
| 37 | Seminoles | 1-2-5 | def. | Blue Devils | 3-4-6 | ||
| 38 | Tars | 1-2-5 | def. | Knights | 3-4-6 | ||
| 39 | Bulldogs | 1-3-4 | def. | Panthers | 2-5-6 | ||
| 40 | Tigers | 1-3-5 | def. | Seminoles | 2-4-6 | ||
| 41 | Knights | 1-2-3 | def. | Blue Devils | 4-5-6 | ||
| 42 | Tars | 1-2-5 | def. | Bulldogs | 3-4-6 | ||
| 54 | Panthers | 2-3-4 | def. | Blue Devils | 1-5-6 DNF | ||
| 55 | Panthers | 1-2-3 | def. | Blue Devils | 4-5-6 | ||
| 56 | Panthers | 2-3-4 | def. | Blue Devils | 1-5-6 | ||
| 43 | Tars | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 44 | Bulldogs | 1-3-6 | def. | Seminoles | 2-4-5 | ||
| 45 | Tigers | 1-2-6 | def. | Knights | 3-4-5 | ||
| 46 | Tars | 1-3-5 | def. | Seminoles | 2-4-6 | ||
| 47 | Bulldogs | 1-2-6 | def. | Knights | 3-4-5 | ||
| 48 | Seminoles | 2-3-5 | def. | Tigers | 1-4-6 | ||
| 49 | Tars | 2-3-4 | def. | Bulldogs | 1-5-6 | ||
| 50 | Seminoles | 2-3-4 | def. | Knights | 1-5-6 | ||
| 51 | Bulldogs | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 52 | Tars | 1-2-4 | def. | Knights | 3-5-6 | ||
| 57 | Panthers | 2-3-4 | def. | Blue Devils | 1-5-6 | ||
| 58 | Blue Devils | 1-2-4 | def. | Panthers | 3-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Florida State University | Seminoles | Brady Parks '25 Kamron Kaiser '28 Peter Foley '26 |
Matthew Aguilera '26 Patrick Parker '25 Avery Harris '25 Niah Ford '26 |
|
| Rollins College | Tars | Hilton Kamps '25 Jackson Mcgeough '25 Shay Bridge '28 |
Jane Mckenzie '27 Maggie Burnham '26 Julia Scott '27 |
|
| The Citadel | Bulldogs | Andrew Tollefson '26 Henry Parker '26 Kenneth Buck '26 |
Luke Pennisi '28 Carolyn Staples '25 Alana Hantz '27 |
|
| Clemson University | Tigers | Luke Adams '28 Mason Baird '26 Mitchell Hnatt '28 William Avery '27 |
Jonathan Caruso '25 Hannah Glavin '28 Bryson Eaton '28 |
|
| University of Central Florida | Knights | Charlie Eckert '27 Julian Larsen '26 Rain Hong '28 |
Nathan Crovatto '25 Brianna Nardelli '25 Gianna Gagliardi '28 Kayla Doering '25 |
|
| Duke University | Blue Devils | Jack Wigmore '27 Kay Lyon '27 Ryan Froeb '27 |
Ava Wietlisbach '28 Debbie Spam '28 Jake Tirado '27 |
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 ±0.01 means a rating gap counts about 1% 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.