| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Tufts University | Jumbos | 8–1 | |
| 2 | Roger Williams University | Hawks | 6–3 | |
| 3 | University of Rhode Island | Rams | 3–6 | |
| 4 | University of Vermont | Catamounts | 1–8 |
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 23,468 team race matches sailed before 2024-03-30, using the line-ups that actually raced. It called 14 of 18 matches (78%) with a log-loss of 0.487 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness −0.15 ± 0.41: a typical event, more orderly than 27% 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 | Tufts University Jumbos | 2 | 6.90 school +0.18 | Ella Hubbard / Lilah Parker 2.55 Samantha Jensen / Lilly Ladd 2.13 Meredith Broadus / Maisie Macgillivray 2.01 | 64% | 8–1 (89%) | +2.2 |
| 2 | Roger Williams University Hawks | 1 | 7.67 school +0.32, home +0.41 | Katherine Mcgagh / Maren Matthews 1.93 Tavia Smith / Elyssa Franklin 2.38 Lucy Meagher / Maggie Fleming 2.64 5–1 Lucy Meagher / Katharine Benagh 2.56 1–2 | 82% | 6–3 (67%) | −1.4 |
| 3 | University of Rhode Island Rams | 3 | 6.10 school −0.14 | Kytalin Hendrickson / Emaline Ouellette 2.41 Leah Rickard / Ursula Budd 2.00 Katie Coughlin / Kaylee Good 1.79 | 46% | 3–6 (33%) | −1.1 |
| 4 | University of Vermont Catamounts | 4 | 4.38 school −0.31 | Audrey Commerford / Alex Forrest 1.76 Elizabeth Amelotte / Maddy Saffer 1.62 Caitlin Derby / Lane Kaeyer 1.49 0–6 Jordynn Johnson / Lane Kaeyer 0.89 1–2 | 8% | 1–8 (11%) | +0.3 |
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 | Tufts University | 6.90 | 8.71 | 8–1 | 5.8 | +1.82 | 2.6 | 8% |
| 4 | University of Vermont | 4.38 | 4.75 | 1–8 | 0.7 | +0.37 | 0.1 | 53% |
| 3 | University of Rhode Island | 6.10 | 5.19 | 3–6 | 4.1 | −0.91 | 0.7 | 93% |
| 2 | Roger Williams University | 7.67 | 6.72 | 6–3 | 7.4 | −0.95 | 1.0 | 95% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Meredith Broadus | Tufts University | 2.01 | 3.83 | 8–1 | 5.8 | +1.82 | 2.6 | 8% |
| Jordynn Johnson | University of Vermont | 0.89 | 2.32 | 1–2 | 0.3 | +1.44 | 0.8 | 29% |
| Audrey Commerford | University of Vermont | 1.76 | 2.14 | 1–8 | 0.7 | +0.37 | 0.1 | 53% |
| Elizabeth Amelotte | University of Vermont | 1.62 | 1.99 | 1–8 | 0.7 | +0.37 | 0.1 | 53% |
| Katie Coughlin | University of Rhode Island | 1.79 | 0.89 | 3–6 | 4.1 | −0.91 | 0.7 | 93% |
| Lucy Meagher | Roger Williams University | 2.64 | 1.69 | 6–3 | 7.4 | −0.95 | 1.0 | 95% |
| Katherine Mcgagh | Roger Williams University | 1.93 | 0.98 | 6–3 | 7.4 | −0.95 | 1.0 | 95% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Jumbos | Hawks | Rams | Catamounts | |
|---|---|---|---|---|---|---|
| Tufts University Jumbos | 3–0 | ✕ | W | W | W | |
| Roger Williams University Hawks | 2–1 | L | ✕ | W | W | |
| University of Rhode Island Rams | 1–2 | L | L | ✕ | W | |
| University of Vermont Catamounts | 0–3 | L | L | L | ✕ |
| Team | Rec. | Jumbos | Hawks | Rams | Catamounts | |
|---|---|---|---|---|---|---|
| Tufts University Jumbos | 3–0 | ✕ | W | W | W | |
| Roger Williams University Hawks | 1–2 | L | ✕ | L | W | |
| University of Rhode Island Rams | 2–1 | L | W | ✕ | W | |
| University of Vermont Catamounts | 0–3 | L | L | L | ✕ |
| Team | Rec. | Jumbos | Hawks | Rams | Catamounts | |
|---|---|---|---|---|---|---|
| Tufts University Jumbos | 2–1 | ✕ | L | W | W | |
| Roger Williams University Hawks | 3–0 | W | ✕ | W | W | |
| University of Rhode Island Rams | 0–3 | L | L | ✕ | L | |
| University of Vermont Catamounts | 1–2 | L | L | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Jumbos | 1-2-6 | def. | Rams | 3-4-5 | ||
| 2 | Hawks | 1-2-3 | def. | Catamounts | 4-5-6 | ||
| 3 | Jumbos | 1-2-3 | def. | Catamounts | 4-5-6 | ||
| 4 | Hawks | 1-3-6 | def. | Rams | 2-4-5 | ||
| 5 | Rams | 2-3-4 | def. | Catamounts | 1-5-6 | ||
| 6 | Jumbos | 1-4-5 | def. | Hawks | 2-3-6 | ||
| 7 | Jumbos | 1-3-4 | def. | Rams | 2-5-6 | ||
| 8 | Hawks | 1-2-5 | def. | Catamounts | 3-4-6 | ||
| 9 | Jumbos | 1-2-3 | def. | Catamounts | 4-5-6 | ||
| 10 | Rams | 1-2-6 | def. | Hawks | 3-4-5 | ||
| 11 | Rams | 1-3-4 | def. | Catamounts | 2-5-6 | ||
| 12 | Jumbos | 1-2-5 | def. | Hawks | 3-4-6 | ||
| 13 | Jumbos | 1-2-6 | def. | Rams | 3-4-5 | ||
| 14 | Hawks | 1-2-3 | def. | Catamounts | 4-5-6 | ||
| 15 | Jumbos | 1-2-4 | def. | Catamounts | 3-5-6 | ||
| 16 | Hawks | 1-2-4 | def. | Rams | 3-5-6 | ||
| 17 | Catamounts | 1-2-4 | def. | Rams | 3-5-6 | ||
| 18 | Hawks | 1-2-4 | def. | Jumbos | 3-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Tufts University | Jumbos | Ella Hubbard '26 Meredith Broadus '25 Samantha Jensen '24 |
Lilah Parker '26 Maisie Macgillivray '25 Lilly Ladd '26 |
|
| Roger Williams University | Hawks | Katherine Mcgagh '26 Lucy Meagher '27 Tavia Smith '27 |
Maren Matthews '26 Katharine Benagh '24 Maggie Fleming '27 Elyssa Franklin '26 |
|
| University of Rhode Island | Rams | Katie Coughlin '24 Kytalin Hendrickson '26 Leah Rickard '26 |
Kaylee Good '26 Emaline Ouellette '28 Ursula Budd '27 |
|
| University of Vermont | Catamounts | Audrey Commerford '25 Caitlin Derby '26 Elizabeth Amelotte '24 Jordynn Johnson '27 |
Alex Forrest '26 Lane Kaeyer '27 Maddy Saffer '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 ±0.06 means a rating gap counts about 5% 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.