| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Bowdoin College | Polar Bears | 8–1 | |
| 2 | Roger Williams University | Hawks | 6–3 | |
| 3 | University of South Florida | Bulls | 4–5 | |
| 4 | University of California at Berkeley | Bears | 0–9 |
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 22,767 team race matches sailed before 2024-03-16, using the line-ups that actually raced. It called 13 of 18 matches (72%) with a log-loss of 0.468 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness −0.50 ± 0.41: an upset-heavy event, more orderly than 11% 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 | Bowdoin College Polar Bears | 1 | 9.36 | Thomas Hall / Kaile Olson 3.12 Thibault Antonietti / Isabelle Tsuchitori 3.04 Sam Bonauto / Timmy Gee 3.11 | 94% | 8–1 (89%) | −0.5 |
| 2 | Roger Williams University Hawks | 2 | 7.65 school +0.29 | Lucy Meagher / Maggie Fleming 2.44 Tavia Smith / Maren Matthews 2.42 William Bailey / Addyson Fisher 2.45 | 67% | 6–3 (67%) | −0.0 |
| 3 | University of South Florida Bulls | 4 | 4.79 school −0.12 | Andreas Keswater / Melissa Janes 2.27 Jordan Byrd / Dana Aljasir 2.07 Garrett Floerchinger / Emmy Digiacomo | 15% | 4–5 (44%) | +2.6 |
| 4 | University of California at Berkeley Bears | 3 | 5.26 school +0.28 | Wilton Lawton / Aliyah Al-Khafaji 1.55 Will Cornell / Emerson Marquez 1.75 Katherine Olsen / Alyssa Cunningham Barkus 1.59 | 24% | 0–9 (0%) | −2.1 |
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) |
|---|---|---|---|---|---|---|---|---|
| 3 | University of South Florida | 4.79 | 7.12 | 4–5 | 1.4 | +2.33 | 4.7 | 1% |
| 2 | Roger Williams University | 7.65 | 7.59 | 6–3 | 6.0 | −0.06 | 0.0 | 77% |
| 1 | Bowdoin College | 9.36 | 8.61 | 8–1 | 8.5 | −0.76 | 0.3 | 91% |
| 4 | University of California at Berkeley | 5.26 | 2.26 | 0–9 | 2.1 | ≤−3.00 | 4.2 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Andreas Keswater | University of South Florida | 2.27 | 4.60 | 4–5 | 1.4 | +2.33 | 4.7 | 1% |
| Jordan Byrd | University of South Florida | 2.07 | 4.40 | 4–5 | 1.4 | +2.33 | 4.7 | 1% |
| Garrett Floerchinger | University of South Florida | 0.54 | 2.87 | 4–5 | 1.4 | +2.33 | 4.7 | 1% |
| Lucy Meagher | Roger Williams University | 2.44 | 2.38 | 6–3 | 6.0 | −0.06 | 0.0 | 77% |
| Thibault Antonietti | Bowdoin College | 3.04 | 2.29 | 8–1 | 8.5 | −0.76 | 0.3 | 91% |
| Katherine Olsen | University of California at Berkeley | 1.59 | -1.41 | 0–9 | 2.1 | ≤−3.00 | 4.2 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Bears | Hawks | Bulls | Bears | |
|---|---|---|---|---|---|---|
| Bowdoin College Polar Bears | 3–0 | ✕ | W | W | W | |
| Roger Williams University Hawks | 2–1 | L | ✕ | W | W | |
| University of South Florida Bulls | 1–2 | L | L | ✕ | W | |
| University of California at Berkeley Bears | 0–3 | L | L | L | ✕ |
| Team | Rec. | Bears | Hawks | Bulls | Bears | |
|---|---|---|---|---|---|---|
| Bowdoin College Polar Bears | 3–0 | ✕ | W | W | W | |
| Roger Williams University Hawks | 1–2 | L | ✕ | L | W | |
| University of South Florida Bulls | 2–1 | L | W | ✕ | W | |
| University of California at Berkeley Bears | 0–3 | L | L | L | ✕ |
| Team | Rec. | Bears | Hawks | Bulls | Bears | |
|---|---|---|---|---|---|---|
| Bowdoin College Polar Bears | 2–1 | ✕ | L | W | W | |
| Roger Williams University Hawks | 3–0 | W | ✕ | W | W | |
| University of South Florida Bulls | 1–2 | L | L | ✕ | W | |
| University of California at Berkeley Bears | 0–3 | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Hawks | 1-2-5 | def. | Bears | 3-4-6 | ||
| 2 | Polar Bears | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 3 | Bulls | 2-3-4 | def. | Bears | 1-5-6 | ||
| 4 | Polar Bears | 1-2-3 | def. | Hawks | 4-5-6 | ||
| 5 | Hawks | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 6 | Polar Bears | 1-2-3 | def. | Bears | 4-5-6 | ||
| 7 | Polar Bears | 2-3-4 | def. | Hawks | 1-5-6 | ||
| 8 | Bulls | 1-2-5 | def. | Bears | 3-4-6 | ||
| 9 | Bulls | 1-2-6 | def. | Hawks | 3-4-5 | ||
| 10 | Polar Bears | 1-2-6 | def. | Bears | 3-4-5 | ||
| 11 | Polar Bears | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 12 | Hawks | 1-2-6 | def. | Bears | 3-4-5 | ||
| 13 | Hawks | 1-2-5 | def. | Polar Bears | 3-4-6 | ||
| 14 | Bulls | 1-2-6 | def. | Bears | 3-4-5 | ||
| 15 | Hawks | 1-2-3 | def. | Bulls | 4-5-6 | ||
| 16 | Polar Bears | 1-2-6 | def. | Bears | 3-4-5 | ||
| 17 | Polar Bears | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 18 | Hawks | 1-2-6 | def. | Bears | 3-4-5 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Bowdoin College | Polar Bears | Sam Bonauto '25 Thibault Antonietti '24 Thomas Hall '25 |
Timmy Gee '25 Isabelle Tsuchitori '26 Kaile Olson '27 |
|
| Roger Williams University | Hawks | Lucy Meagher '27 Tavia Smith '27 William Bailey '24 |
Maggie Fleming '27 Maren Matthews '26 Addyson Fisher '27 |
|
| University of South Florida | Bulls | Andreas Keswater '24 Garrett Floerchinger '26 Jordan Byrd '24 |
Melissa Janes '26 Emmy Digiacomo '24 Dana Aljasir '27 |
|
| University of California at Berkeley | Bears | Katherine Olsen '25 Will Cornell '25 Wilton Lawton '26 |
Alyssa Cunningham Barkus '26 Emerson Marquez '27 Aliyah Al-Khafaji '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 ±0.03 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.