| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Yale University | Bulldogs | 9–1 | |
| 2 | Brown University | Bears | 7–3 | |
| 2 | Harvard University | Crimson | 7–3 | |
| 4 | Dartmouth College | Big Green | 4–6 | |
| 5 | Roger Williams University | Hawks | 4–3 | |
| 6 | U. S. Naval Academy | Midshipmen | 1–6 | |
| 7 | Bowdoin College | Polar Bears | 1–6 | |
| 8 | Old Dominion University | Monarchs | 1–6 |
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 27,096 team race matches sailed before 2025-04-05, using the line-ups that actually raced. It called 30 of 35 matches (86%) with a log-loss of 0.379 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.31 ± 0.32: a typical event, more orderly than 77% 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 | Harvard University | 9.55 | 10.44 | 7–3 | 5.7 | +0.89 | 0.9 | 25% |
| 5 | Roger Williams University | 8.35 | 8.92 | 4–4 | 3.2 | +0.57 | 0.3 | 38% |
| 4 | Dartmouth College | 8.79 | 9.02 | 5–6 | 4.6 | +0.23 | 0.1 | 52% |
| 2 | Brown University | 10.24 | 10.22 | 7–3 | 7.0 | −0.03 | 0.0 | 69% |
| 1 | Yale University | 11.51 | 11.41 | 9–1 | 9.1 | −0.10 | 0.0 | 77% |
| 8 | Old Dominion University | 7.22 | 6.91 | 1–6 | 1.3 | −0.31 | 0.1 | 77% |
| 6 | U. S. Naval Academy | 7.52 | 6.77 | 1–6 | 1.7 | −0.75 | 0.3 | 88% |
| 7 | Bowdoin College | 8.25 | 6.70 | 1–6 | 2.6 | −1.55 | 1.6 | 98% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Cordelia Burn | Harvard University | 3.36 | 4.25 | 7–3 | 5.7 | +0.89 | 0.9 | 25% |
| Lucy Meagher | Roger Williams University | 3.13 | 3.70 | 4–4 | 3.2 | +0.57 | 0.3 | 38% |
| Katherine Mcgagh | Roger Williams University | 2.18 | 2.75 | 4–4 | 3.2 | +0.57 | 0.3 | 38% |
| Bella Casaretto | Dartmouth College | 3.25 | 3.48 | 5–6 | 4.6 | +0.23 | 0.1 | 52% |
| Carmen Cowles | Yale University | 3.70 | 3.60 | 9–1 | 9.1 | −0.10 | 0.0 | 77% |
| Emma Cowles | Yale University | 3.90 | 3.81 | 9–1 | 9.1 | −0.10 | 0.0 | 77% |
| Marina Conde | Old Dominion University | 2.58 | 2.26 | 1–6 | 1.3 | −0.31 | 0.1 | 77% |
| Eva Blauvelt | U. S. Naval Academy | 3.25 | 2.50 | 1–6 | 1.7 | −0.75 | 0.3 | 88% |
| Ava Farley | U. S. Naval Academy | 2.42 | 1.68 | 1–6 | 1.7 | −0.75 | 0.3 | 88% |
| Kate Zurinskas | U. S. Naval Academy | 1.66 | 0.91 | 1–6 | 1.7 | −0.75 | 0.3 | 88% |
| Lauren Russler | Bowdoin College | 2.94 | 1.39 | 1–6 | 2.6 | −1.55 | 1.6 | 98% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Bulldogs | Bears | Crimson | Green | Hawks | Midshipmen | Bears | Monarchs | |
|---|---|---|---|---|---|---|---|---|---|---|
| Yale University Bulldogs | 6–1 | ✕ | L | W | W | W | W | W | W | |
| Brown University Bears | 6–1 | W | ✕ | W | L | W | W | W | W | |
| Harvard University Crimson | 5–2 | L | L | ✕ | W | W | W | W | W | |
| Dartmouth College Big Green | 5–3 | L | W | L | ✕ | W | W | W | W | |
| Roger Williams University Hawks | 4–4 | L | L | L | L | ✕ | W | W | W | |
| U. S. Naval Academy Midshipmen | 1–6 | L | L | L | L | L | ✕ | L | W | |
| Bowdoin College Polar Bears | 1–6 | L | L | L | L | L | W | ✕ | L | |
| Old Dominion University Monarchs | 1–6 | L | L | L | L | L | L | W | ✕ |
| Team | Rec. | Bulldogs | Bears | Crimson | Green | |
|---|---|---|---|---|---|---|
| Yale University Bulldogs | 3–0 | ✕ | W | W | W | |
| Brown University Bears | 1–2 | L | ✕ | L | W | |
| Harvard University Crimson | 2–1 | L | W | ✕ | W | |
| Dartmouth College Big Green | 0–3 | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Crimson | 1-2-3 | def. | Midshipmen | 4-5-6 | ||
| 2 | Bulldogs | 1-2-4 | def. | Polar Bears | 3-5-6 | ||
| 3 | Big Green | 1-2-5 | def. | Monarchs | 3-4-6 | ||
| 4 | Bears | 1-2-3 | def. | Hawks | 4-5-6 | ||
| 5 | Monarchs | 2-3-4 | def. | Polar Bears | 1-5-6 | ||
| 6 | Bulldogs | 2-3-4 | def. | Big Green | 1-5-6 | ||
| 7 | Bears | 1-3-5 | def. | Crimson | 2-4-6 | ||
| 8 | Bulldogs | 1-2-5 | def. | Midshipmen | 3-4-6 | ||
| 9 | Hawks | 1-3-5 | def. | Big Green | 2-4-6 | ||
| 10 | Crimson | 1-2-4 | def. | Polar Bears | 3-5-6 | ||
| 11 | Bears | 1-2-3 | def. | Midshipmen | 4-5-6 | ||
| 12 | Hawks | 1-2-4 | def. | Monarchs | 3-5-6 | ||
| 13 | Polar Bears | 2-3-4 | def. | Midshipmen | 1-5-6 | ||
| 14 | Crimson | 2-3-4 | def. | Big Green | 1-5-6 | ||
| 15 | Bulldogs | 1-2-3 | def. | Monarchs | 4-5-6 | ||
| 16 | Big Green | 1-2-6 | def. | Polar Bears | 3-4-5 | ||
| 17 | Bears | 1-2-5 | def. | Monarchs | 3-4-6 | ||
| 18 | Bulldogs | 1-2-3 | def. | Hawks | 4-5-6 | ||
| 19 | Big Green | 2-3-5 | def. | Bears | 1-4-6 | ||
| 20 | Bulldogs | 1-3-5 | def. | Crimson | 2-4-6 | ||
| 21 | Hawks | 1-2-4 | def. | Midshipmen | 3-5-6 | ||
| 22 | Bears | 1-4-5 | def. | Bulldogs | 2-3-6 | ||
| 23 | Hawks | 1-2-3 | def. | Polar Bears | 4-5-6 | ||
| 24 | Midshipmen | 1-2-3 | def. | Monarchs | 4-5-6 | ||
| 25 | Crimson | 1-2-3 | def. | Hawks | 4-5-6 | ||
| 26 | Big Green | 1-2-5 | def. | Midshipmen | 3-4-6 | ||
| 27 | Bears | 1-3-5 | def. | Polar Bears | 2-4-6 | ||
| 28 | Crimson | 2-3-4 | def. | Monarchs | 1-5-6 | ||
| 29 | Big Green | 2-3-4 | def. | Hawks | 1-5-6 | ||
| 30 | Bulldogs | 1-2-3 | def. | Crimson | 4-5-6 | ||
| 31 | Bears | 1-2-5 | def. | Big Green | 3-4-6 | ||
| 32 | Bulldogs | 1-2-3 | def. | Big Green | 4-5-6 | ||
| 33 | Crimson | 2-3-4 | def. | Bears | 1-5-6 | ||
| 34 | Crimson | 1-2-3 | def. | Big Green | 4-5-6 | ||
| 35 | Bulldogs | 1-2-3 | def. | Bears | 4-5-6 | ||
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 ±0.14 means a rating gap counts about 12% 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.