| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Old Dominion University | Monarchs | 14–4 | |
| 2 | Jacksonville University | Fins | 11–7 | |
| 3 | University of South Florida | Bulls | 10–8 | |
| 4 | University of Wisconsin | Badgers | 1–17 |
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 18,964 team race matches sailed before 2023-02-25, using the line-ups that actually raced. It called 22 of 36 matches (61%) with a log-loss of 0.619 (a coin flip scores 0.693), so the event went poorly for the forecast. Orderliness −0.44 ± 0.30: an upset-heavy event, more orderly than 12% 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.
| Place | School | Pred. | Strength | Boats (skipper / crew, boat value) | Pred. win % | Record | vs forecast |
|---|---|---|---|---|---|---|---|
| 1 | Old Dominion University Monarchs | 3 | 5.73 school +0.17 | Elizabeth Gildea / Isabelle Kanach 2.17 Emma Friedauer / Allison Volk Megan Geith / Cadence Goodnight 1.85 | 51% | 14–4 (78%) | +4.9 |
| 2 | Jacksonville University Fins | 2 | 5.77 | Emily Allen / Reagan Carris 2.58 Kaitlyn Liebel / Mary Mann Agija Elerte / Ella Bilow | 52% | 11–7 (61%) | +1.6 |
| 3 | University of South Florida Bulls | 1 | 7.06 home +0.38 | Emma Shakespeare / Olivia Smith 2.27 Heidi Hicks / Jewel "Min Min" Kelly 1.92 Sydney Monahan / Ochithya Fernando 2.41 | 84% | 10–8 (56%) | −5.2 |
| 4 | University of Wisconsin Badgers | 4 | 4.14 school −0.42 | Marissa Tegeder / Carmen Lineer 1.56 Mary Castellini / Emma Komis 1.80 Sydney Mandell / Lauren Salmi | 13% | 1–17 (6%) | −1.3 |
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 | Old Dominion University | 5.73 | 7.29 | 14–4 | 9.1 | +1.56 | 5.3 | 1% |
| 2 | Jacksonville University | 5.77 | 6.26 | 11–7 | 9.4 | +0.49 | 0.6 | 27% |
| 4 | University of Wisconsin | 4.14 | 3.21 | 1–17 | 2.3 | −0.93 | 0.8 | 92% |
| 3 | University of South Florida | 7.06 | 5.48 | 10–8 | 15.2 | −1.58 | 6.4 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Agija Elerte | Jacksonville University | 1.44 | 1.93 | 11–7 | 9.4 | +0.49 | 0.6 | 27% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Monarchs | Fins | Bulls | Badgers | |
|---|---|---|---|---|---|---|
| Old Dominion University Monarchs | 2–1 | ✕ | L | W | W | |
| Jacksonville University Fins | 3–0 | W | ✕ | W | W | |
| University of South Florida Bulls | 1–2 | L | L | ✕ | W | |
| University of Wisconsin Badgers | 0–3 | L | L | L | ✕ |
| Team | Rec. | Monarchs | Fins | Bulls | Badgers | |
|---|---|---|---|---|---|---|
| Old Dominion University Monarchs | 3–0 | ✕ | W | W | W | |
| Jacksonville University Fins | 2–1 | L | ✕ | W | W | |
| University of South Florida Bulls | 1–2 | L | L | ✕ | W | |
| University of Wisconsin Badgers | 0–3 | L | L | L | ✕ |
| Team | Rec. | Monarchs | Fins | Bulls | Badgers | |
|---|---|---|---|---|---|---|
| Old Dominion University Monarchs | 2–1 | ✕ | W | L | W | |
| Jacksonville University Fins | 1–2 | L | ✕ | L | W | |
| University of South Florida Bulls | 2–1 | W | W | ✕ | L | |
| University of Wisconsin Badgers | 1–2 | L | L | W | ✕ |
| Team | Rec. | Monarchs | Fins | Bulls | Badgers | |
|---|---|---|---|---|---|---|
| Old Dominion University Monarchs | 2–1 | ✕ | W | L | W | |
| Jacksonville University Fins | 2–1 | L | ✕ | W | W | |
| University of South Florida Bulls | 2–1 | W | L | ✕ | W | |
| University of Wisconsin Badgers | 0–3 | L | L | L | ✕ |
| Team | Rec. | Monarchs | Fins | Bulls | Badgers | |
|---|---|---|---|---|---|---|
| Old Dominion University Monarchs | 3–0 | ✕ | W | W | W | |
| Jacksonville University Fins | 1–2 | L | ✕ | L | W | |
| University of South Florida Bulls | 2–1 | L | W | ✕ | W | |
| University of Wisconsin Badgers | 0–3 | L | L | L | ✕ |
| Team | Rec. | Monarchs | Fins | Bulls | Badgers | |
|---|---|---|---|---|---|---|
| Old Dominion University Monarchs | 2–1 | ✕ | W | L | W | |
| Jacksonville University Fins | 2–1 | L | ✕ | W | W | |
| University of South Florida Bulls | 2–1 | W | L | ✕ | W | |
| University of Wisconsin Badgers | 0–3 | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Fins | 2-3-4 | def. | Bulls | 1-5-6 | ||
| 2 | Monarchs | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 3 | Fins | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 4 | Monarchs | 2-3-5 | def. | Bulls | 1-4-6 | ||
| 5 | Fins | 1-2-4 | def. | Monarchs | 3-5-6 | ||
| 6 | Bulls | 1-2-5 | def. | Badgers | 3-4-6 | ||
| 7 | Fins | 2-3-4 | def. | Bulls | 1-5-6 | ||
| 8 | Monarchs | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 9 | Fins | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 10 | Monarchs | 1-2-3 | def. | Bulls | 4-5-6 | ||
| 11 | Monarchs | 1-2-6 | def. | Fins | 3-4-5 | ||
| 12 | Bulls | 1-2-5 | def. | Badgers | 3-4-6 | ||
| 13 | Bulls | 1-3-6 | def. | Fins | 2-4-5 | ||
| 14 | Monarchs | 1-2-6 | def. | Badgers | 3-4-5 | ||
| 15 | Fins | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 16 | Bulls | 1-2-6 | def. | Monarchs | 3-4-5 | ||
| 17 | Monarchs | 1-3-6 | def. | Fins | 2-4-5 | ||
| 18 | Badgers | 1-2-6 | def. | Bulls | 3-4-5 | ||
| 19 | Fins | 2-3-4 | def. | Bulls | 1-5-6 | ||
| 20 | Monarchs | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 21 | Fins | 1-2-5 | def. | Badgers | 3-4-6 | ||
| 22 | Bulls | 2-3-4 | def. | Monarchs | 1-5-6 | ||
| 23 | Monarchs | 1-3-4 | def. | Fins | 2-5-6 | ||
| 24 | Bulls | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 25 | Bulls | 1-2-6 | def. | Fins | 3-4-5 | ||
| 26 | Monarchs | 1-2-6 | def. | Badgers | 3-4-5 | ||
| 27 | Fins | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 28 | Monarchs | 2-3-4 | def. | Bulls | 1-5-6 | ||
| 29 | Monarchs | 2-3-4 | def. | Fins | 1-5-6 | ||
| 30 | Bulls | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 31 | Fins | 2-3-4 | def. | Bulls | 1-5-6 | ||
| 32 | Monarchs | 2-3-5 | def. | Badgers | 1-4-6 | ||
| 33 | Fins | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 34 | Bulls | 1-2-4 | def. | Monarchs | 3-5-6 | ||
| 35 | Monarchs | 2-3-4 | def. | Fins | 1-5-6 | ||
| 36 | Bulls | 1-2-5 | def. | Badgers | 3-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Old Dominion University | Monarchs | Elizabeth Gildea '24 Emma Friedauer '26 Megan Geith '24 |
Isabelle Kanach '25 Allison Volk '25 Cadence Goodnight '26 |
|
| Jacksonville University | Fins | Agija Elerte '26 Emily Allen '25 Kaitlyn Liebel '26 |
Ella Bilow '26 Reagan Carris '26 Mary Mann '23 |
|
| University of South Florida | Bulls | Emma Shakespeare '24 Heidi Hicks '25 Sydney Monahan '23 |
Olivia Smith '23 Jewel "Min Min" Kelly '24 Ochithya Fernando '25 |
|
| University of Wisconsin | Badgers | Marissa Tegeder '25 Mary Castellini '25 Sydney Mandell '26 |
Carmen Lineer '26 Emma Komis '26 Lauren Salmi '26 |
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% 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.