| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Yale University | Bulldogs | 4–1 | |
| 2 | Roger Williams University | Hawks | 3–2 | |
| 3 | Harvard University | Crimson | 2–3 | |
| 4 | U. S. Coast Guard Academy | Bears | 2–3 | |
| 5 | Dartmouth College | Big Green | 2–3 | |
| 6 | Tufts University | Jumbos | 2–3 | |
| 7 | Boston University | Terriers | 4–1 | |
| 8 | Brown University | Bears | 3–2 | |
| 9 | Massachusetts Institute of Technology | Engineers | 3–2 | |
| 10 | Connecticut College | Camels | 2–3 | |
| 11 | Bowdoin College | Polar Bears | 2–3 | |
| 12 | Boston College | Eagles | 1–4 |
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 20,956 team race matches sailed before 2023-04-08, using the line-ups that actually raced. It called 14 of 21 matches (67%) with a log-loss of 0.667 (a coin flip scores 0.693), so the event went poorly for the forecast. Orderliness −0.55 ± 0.45: an upset-heavy event, more orderly than 9% 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) |
|---|---|---|---|---|---|---|---|---|
| 4 | U. S. Coast Guard Academy | 9.72 | 10.64 | 4–4 | 2.5 | +0.92 | 1.0 | 20% |
| 1 | Yale University | 11.31 | 11.91 | 4–1 | 3.5 | +0.60 | 0.2 | 52% |
| 6 | Tufts University | 8.92 | 9.50 | 2–6 | 1.3 | +0.58 | 0.3 | 40% |
| 2 | Roger Williams University | 10.83 | 10.91 | 3–2 | 2.9 | +0.09 | 0.0 | 66% |
| 3 | Harvard University | 11.29 | 10.74 | 5–3 | 5.8 | −0.54 | 0.3 | 87% |
| 5 | Dartmouth College | 10.83 | 9.61 | 3–5 | 4.9 | −1.22 | 1.7 | 98% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Ben Mueller | Tufts University | 3.08 | 3.81 | 2–5 | 1.2 | +0.73 | 0.4 | 35% |
| Patrick Mulcahy | Tufts University | 2.62 | 3.22 | 1–5 | 0.6 | +0.60 | 0.2 | 47% |
| Aidan Hoogland | Roger Williams University | 3.52 | 3.60 | 3–2 | 2.9 | +0.09 | 0.0 | 66% |
| Carlos De Castro | Roger Williams University | 3.55 | 3.64 | 3–2 | 2.9 | +0.09 | 0.0 | 66% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Crimson | Bears | Green | Jumbos | |
|---|---|---|---|---|---|---|
| Harvard University Crimson | 3–0 | ✕ | W | W | W | |
| U. S. Coast Guard Academy Bears | 2–1 | L | ✕ | W | W | |
| Dartmouth College Big Green | 1–2 | L | L | ✕ | W | |
| Tufts University Jumbos | 0–3 | L | L | L | ✕ |
| Team | Rec. | Bulldogs | Hawks | Crimson | Bears | Green | Jumbos | Terriers | Bears | Engineers | Camels | Bears | Eagles | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yale University Bulldogs | 4–1 | ✕ | W | W | L | W | W | – | – | – | – | – | – | |
| Roger Williams University Hawks | 3–2 | L | ✕ | L | W | W | W | – | – | – | – | – | – | |
| Harvard University Crimson | 2–3 | L | W | ✕ | L | L | W | – | – | – | – | – | – | |
| U. S. Coast Guard Academy Bears | 2–3 | W | L | W | ✕ | L | L | – | – | – | – | – | – | |
| Dartmouth College Big Green | 2–3 | L | L | W | W | ✕ | L | – | – | – | – | – | – | |
| Tufts University Jumbos | 2–3 | L | L | L | W | W | ✕ | – | – | – | – | – | – | |
| Boston University Terriers | 4–1 | – | – | – | – | – | – | ✕ | W | L | W | W | W | |
| Brown University Bears | 4–2 | – | – | – | – | – | – | L | ✕ | W | L | W | W | |
| Massachusetts Institute of Technology Engineers | 3–3 | – | – | – | – | – | – | W | L | ✕ | L | W | W | |
| Connecticut College Camels | 3–3 | – | – | – | – | – | – | L | W | W | ✕ | W | L | |
| Bowdoin College Polar Bears | 2–4 | – | – | – | – | – | – | L | L | L | L | ✕ | W | |
| Boston College Eagles | 1–4 | – | – | – | – | – | – | L | L | L | W | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 31 | Crimson | 1-2-4 | def. | Jumbos | 3-5-6 | ||
| 32 | Bears | 2-4-5 | def. | Big Green | 1-3-6 DSQ | ||
| 33 | Crimson | 1-2-6 | def. | Big Green | 3-4-5 | ||
| 34 | Bears | 1-2-5 | def. | Jumbos | 3-4-6 | ||
| 35 | Big Green | 1-2-5 | def. | Jumbos | 3-4-6 | ||
| 36 | Crimson | 1-2-5 | def. | Bears | 3-4-6 | ||
| 1 | Crimson | 1-2-3 | def. | Hawks | 4-5-6 | ||
| 2 | Bulldogs | 2-3-4 | def. | Big Green | 1-5-6 | ||
| 3 | Jumbos | 1-2-5 | def. | Bears | 3-4-6 | ||
| 4 | Terriers | 2-3-4 | def. | Bears | 1-5-6 | ||
| 5 | Engineers | 2-3-4 | def. | Eagles | 1-5-6 | ||
| 6 | Polar Bears | 1-2-5 | def. | Camels | 3-4-6 | ||
| 7 | Crimson | 1-2-3 | def. | Jumbos | 4-5-6 | ||
| 8 | Bulldogs | 1-2-5 | def. | Hawks | 3-4-6 | ||
| 9 | Big Green | 1-3-5 | def. | Bears | 2-4-6 | ||
| 10 | Engineers | 2-3-4 | def. | Terriers | 1-5-6 | ||
| 11 | Terriers | 2-3-4 | def. | Camels | 1-5-6 | ||
| 12 | Bears | 1-2-5 | def. | Polar Bears | 3-4-6 | ||
| 13 | Big Green | 1-2-5 | def. | Crimson | 3-4-6 | ||
| 14 | Bears | 1-2-6 | def. | Bulldogs | 3-4-5 | ||
| 15 | Hawks | 1-2-5 | def. | Jumbos | 3-4-6 | ||
| 16 | Eagles | 1-2-4 | def. | Camels | 3-5-6 | ||
| 17 | Bears | 1-3-5 | def. | Engineers | 2-4-6 | ||
| 18 | Polar Bears | 2-3-4 | def. | Eagles | 1-5-6 | ||
| 19 | Bears | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 20 | Hawks | 1-2-4 | def. | Big Green | 3-5-6 | ||
| 21 | Bulldogs | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 22 | Camels | 1-3-4 | def. | Engineers | 2-5-6 | ||
| 23 | Bears | 1-2-4 | def. | Eagles | 3-5-6 | ||
| 24 | Terriers | 1-2-5 | def. | Polar Bears | 3-4-6 | ||
| 25 | Jumbos | 1-4-5 | def. | Big Green | 2-3-6 | ||
| 26 | Hawks | 1-3-4 | def. | Bears | 2-5-6 | ||
| 27 | Bulldogs | 2-3-4 | def. | Jumbos | 1-5-6 | ||
| 28 | Camels | 1-2-5 | def. | Bears | 3-4-6 | ||
| 29 | Terriers | 2-3-4 | def. | Eagles | 1-5-6 | ||
| 30 | Engineers | 1-2-4 | def. | Polar Bears | 3-5-6 | ||
| 37 | Camels | 1-3-5 | def. | Polar Bears | 2-4-6 | ||
| 38 | Bears | 2-3-4 | def. | Engineers | 1-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Yale University | Bulldogs | Jack Egan '25 Stephan Baker '26 Teddy Nicolosi '24 |
Catherine Webb '23 Meredith Ryan '23 Anisha Arcot '23 |
|
| Roger Williams University | Hawks | Aidan Hoogland '24 Cameron Wood '22 Carlos De Castro '26 |
Molly Matthews '23 Michaela Odonnell '24 Carly Kiss '25 |
|
| Harvard University | Crimson | Justin Callahan '26 Lachlain Mcgranahan '24 Mitchell Callahan '26 |
Marbella Marlo '24 Christopher Wang '23 Kennedy Leehealey '26 |
|
| U. S. Coast Guard Academy | Bears | Colman Schofield '25 Daniel Unangst '24 Matthew Kickhafer '23 |
Lauren O'Neill '24 Jack Farrell '23 Charles Pohl '26 |
|
| Dartmouth College | Big Green | Maddie Hawkins '24 Robert Bragg '23 William Michels '25 |
Aisling Sullivan '22 Yumi Yoshiyasu '24 Reese Bragg '25 |
|
| Tufts University | Jumbos | Ben Mueller '26 John Eastman '25 Patrick Mulcahy '23 Trevor Davis '24 |
Henry Tindall '25 William Eykyn '25 Amelia Carlson '24 Caroline Kelly '23 Celia Byrne '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 ±0.05 means a rating gap counts about 4% 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.