| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Brown University | Bears | 18–2 | |
| 2 | Boston College | Eagles | 13–7 | |
| 3 | Dartmouth College | Big Green | 11–9 | |
| 4 | Roger Williams University | Hawks | 8–12 | |
| 5 | Boston University | Terriers | 6–14 | |
| 6 | Massachusetts Institute of Technology | Engineers | 4–16 |
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 17,267 team race matches sailed before 2022-03-26, using the line-ups that actually raced. It called 43 of 60 matches (72%) with a log-loss of 0.558 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness −0.03 ± 0.27: a typical event, more orderly than 39% 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) |
|---|---|---|---|---|---|---|---|---|
| 3 | Dartmouth College | 6.19 | 7.27 | 11–9 | 6.6 | +1.08 | 3.5 | 2% |
| 1 | Brown University | 8.16 | 9.01 | 18–2 | 16.0 | +0.84 | 1.1 | 20% |
| 6 | Massachusetts Institute of Technology | 5.70 | 5.59 | 4–16 | 4.3 | −0.11 | 0.0 | 67% |
| 2 | Boston College | 7.57 | 7.45 | 13–7 | 13.4 | −0.12 | 0.0 | 69% |
| 5 | Boston University | 6.49 | 5.95 | 6–14 | 8.1 | −0.54 | 0.8 | 90% |
| 4 | Roger Williams University | 7.19 | 6.32 | 8–12 | 11.6 | −0.87 | 2.2 | 98% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Nicholas Hurley | Dartmouth College | 1.78 | 2.86 | 11–9 | 6.6 | +1.08 | 3.5 | 2% |
| Griffin Lapham | Dartmouth College | 0.92 | 2.00 | 11–9 | 6.6 | +1.08 | 3.5 | 2% |
| Max Katz-Christy | Massachusetts Institute of Technology | 1.88 | 1.77 | 4–16 | 4.3 | −0.11 | 0.0 | 67% |
| Chip Kreuzkamp | Boston College | 1.81 | 1.70 | 13–7 | 13.4 | −0.12 | 0.0 | 69% |
| John (Jack) Plavan | Boston College | 2.47 | 2.35 | 13–7 | 13.4 | −0.12 | 0.0 | 69% |
| William Wiegand | Boston University | 1.43 | 0.89 | 6–14 | 8.1 | −0.54 | 0.8 | 90% |
| Tiare Sierra | Boston University | 2.45 | 1.91 | 6–14 | 8.1 | −0.54 | 0.8 | 90% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Bears | Eagles | Green | Hawks | Terriers | Engineers | |
|---|---|---|---|---|---|---|---|---|
| Brown University Bears | 5–0 | ✕ | W | W | W | W | W | |
| Boston College Eagles | 4–1 | L | ✕ | W | W | W | W | |
| Dartmouth College Big Green | 3–2 | L | L | ✕ | W | W | W | |
| Roger Williams University Hawks | 0–5 | L | L | L | ✕ | L | L | |
| Boston University Terriers | 2–3 | L | L | L | W | ✕ | W | |
| Massachusetts Institute of Technology Engineers | 1–4 | L | L | L | W | L | ✕ |
| Team | Rec. | Bears | Eagles | Green | Hawks | Terriers | Engineers | |
|---|---|---|---|---|---|---|---|---|
| Brown University Bears | 5–0 | ✕ | W | W | W | W | W | |
| Boston College Eagles | 4–1 | L | ✕ | W | W | W | W | |
| Dartmouth College Big Green | 2–3 | L | L | ✕ | W | W | L | |
| Roger Williams University Hawks | 1–4 | L | L | L | ✕ | W | L | |
| Boston University Terriers | 1–4 | L | L | L | L | ✕ | W | |
| Massachusetts Institute of Technology Engineers | 2–3 | L | L | W | W | L | ✕ |
| Team | Rec. | Bears | Eagles | Green | Hawks | Terriers | Engineers | |
|---|---|---|---|---|---|---|---|---|
| Brown University Bears | 3–2 | ✕ | L | L | W | W | W | |
| Boston College Eagles | 3–2 | W | ✕ | L | L | W | W | |
| Dartmouth College Big Green | 4–1 | W | W | ✕ | L | W | W | |
| Roger Williams University Hawks | 4–1 | L | W | W | ✕ | W | W | |
| Boston University Terriers | 1–4 | L | L | L | L | ✕ | W | |
| Massachusetts Institute of Technology Engineers | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Bears | Eagles | Green | Hawks | Terriers | Engineers | |
|---|---|---|---|---|---|---|---|---|
| Brown University Bears | 5–0 | ✕ | W | W | W | W | W | |
| Boston College Eagles | 2–3 | L | ✕ | L | L | W | W | |
| Dartmouth College Big Green | 2–3 | L | W | ✕ | L | L | W | |
| Roger Williams University Hawks | 3–2 | L | W | W | ✕ | L | W | |
| Boston University Terriers | 2–3 | L | L | W | W | ✕ | L | |
| Massachusetts Institute of Technology Engineers | 1–4 | L | L | L | L | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Big Green | 1-2-3 | def. | Terriers | 4-5-6 | ||
| 2 | Bears | 1-2-5 | def. | Engineers | 3-4-6 | ||
| 3 | Eagles | 1-2-4 | def. | Hawks | 3-5-6 | ||
| 4 | Bears | 1-2-3 | def. | Terriers | 4-5-6 | ||
| 5 | Big Green | 1-2-5 | def. | Hawks | 3-4-6 | ||
| 6 | Eagles | 1-2-5 | def. | Engineers | 3-4-6 | ||
| 7 | Bears | 1-2-3 | def. | Hawks | 4-5-6 | ||
| 8 | Terriers | 1-2-3 | def. | Engineers | 4-5-6 | ||
| 9 | Eagles | 1-2-3 | def. | Big Green | 4-5-6 | ||
| 10 | Engineers | 1-2-4 | def. | Hawks | 3-5-6 | ||
| 11 | Bears | 1-2-5 | def. | Big Green | 3-4-6 | ||
| 12 | Eagles | 1-4-5 | def. | Terriers | 2-3-6 | ||
| 13 | Big Green | 1-2-5 | def. | Engineers | 3-4-6 | ||
| 14 | Terriers | 1-3-4 | def. | Hawks | 2-5-6 | ||
| 15 | Bears | 3-4-5 | def. | Eagles | 1-2-6 DSQ | ||
| 16 | Engineers | 1-2-6 | def. | Big Green | 3-4-5 | ||
| 17 | Hawks | 1-2-5 | def. | Terriers | 3-4-6 | ||
| 18 | Bears | 2-3-4 | def. | Eagles | 1-5-6 | ||
| 19 | Big Green | 1-2-5 | def. | Terriers | 3-4-6 | ||
| 20 | Eagles | 1-2-5 | def. | Engineers | 3-4-6 | ||
| 21 | Bears | 1-2-5 | def. | Hawks | 3-4-6 | ||
| 22 | Eagles | 1-2-3 | def. | Terriers | 4-5-6 | ||
| 23 | Big Green | 1-2-5 | def. | Hawks | 3-4-6 | ||
| 24 | Bears | 1-2-6 | def. | Engineers | 3-4-5 | ||
| 25 | Eagles | 1-2-4 | def. | Hawks | 3-5-6 | ||
| 26 | Terriers | 1-2-6 | def. | Engineers | 3-4-5 | ||
| 27 | Bears | 1-2-4 | def. | Big Green | 3-5-6 | ||
| 28 | Engineers | 1-4-5 | def. | Hawks | 2-3-6 | ||
| 29 | Eagles | 1-2-5 | def. | Big Green | 3-4-6 | ||
| 30 | Bears | 1-2-5 | def. | Terriers | 3-4-6 | ||
| 31 | Hawks | 1-3-4 | def. | Engineers | 2-5-6 | ||
| 32 | Big Green | 1-2-6 | def. | Eagles | 3-4-5 | ||
| 33 | Bears | 1-2-6 | def. | Terriers | 3-4-5 | ||
| 34 | Big Green | 2-3-5 | def. | Engineers | 1-4-6 | ||
| 35 | Bears | 1-3-5 | def. | Hawks | 2-4-6 | ||
| 36 | Eagles | 2-3-4 | def. | Terriers | 1-5-6 | ||
| 37 | Big Green | 1-3-5 | def. | Bears | 2-4-6 | ||
| 38 | Eagles | 2-3-4 | def. | Engineers | 1-5-6 | ||
| 39 | Hawks | 2-3-4 | def. | Terriers | 1-5-6 | ||
| 40 | Eagles | 1-2-5 | def. | Bears | 3-4-6 | ||
| 41 | Hawks | 2-3-4 | def. | Big Green | 1-5-6 | ||
| 42 | Terriers | 1-3-6 | def. | Engineers | 2-4-5 | ||
| 43 | Hawks | 1-3-6 | def. | Eagles | 2-4-5 | ||
| 44 | Bears | 1-2-5 | def. | Engineers | 3-4-6 | ||
| 45 | Big Green | 1-3-6 | def. | Terriers | 2-4-5 | ||
| 46 | Hawks | 1-2-4 | def. | Engineers | 3-5-6 | ||
| 47 | Big Green | 1-2-4 | def. | Eagles | 3-5-6 | ||
| 48 | Bears | 1-2-3 | def. | Terriers | 4-5-6 | ||
| 49 | Big Green | 1-4-5 | def. | Engineers | 2-3-6 | ||
| 50 | Bears | 1-2-6 | def. | Hawks | 3-4-5 | ||
| 51 | Eagles | 1-2-6 | def. | Terriers | 3-4-5 | ||
| 52 | Bears | 1-2-6 | def. | Big Green | 3-4-5 | ||
| 53 | Eagles | 1-2-5 | def. | Engineers | 3-4-6 | ||
| 54 | Terriers | 1-3-6 | def. | Hawks | 2-4-5 | ||
| 55 | Bears | 1-2-6 | def. | Eagles | 3-4-5 | ||
| 56 | Hawks | 2-3-4 | def. | Big Green | 1-5-6 | ||
| 57 | Engineers | 1-3-6 | def. | Terriers | 2-4-5 | ||
| 58 | Hawks | 1-2-6 | def. | Eagles | 3-4-5 | ||
| 59 | Bears | 1-2-6 | def. | Engineers | 3-4-5 | ||
| 60 | Terriers | 1-2-4 | def. | Big Green | 3-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Brown University | Bears | Connor Macken '24 Hunter Zonnenberg '23 Leyton Borcherding '25 |
Jacqueline Rice '24 Izzy Cox '23 Menasha Leport '25 |
|
| Boston College | Eagles | Chip Kreuzkamp '24 John (Jack) Plavan '23 Matt Budington '25 |
Grace Beneke '24 Sara Schumann '25 Nick Budington '25 |
|
| Dartmouth College | Big Green | Griffin Lapham '25 Nicholas Hurley '23 Oliver Hurwitz '25 |
Alexandra Pierce '25 Maya Nguyen '24 Madeleine Sharp '22 |
|
| Roger Williams University | Hawks | Chase Reynolds '23 Luke Hosek '24 William Bailey '24 |
Ruby Hope '25 Izaiah Farr '23 Ian Coen '24 |
|
| Boston University | Terriers | Nathan Selian '25 Tiare Sierra '25 William Wiegand '25 |
Carolyn Kravets '25 Matthew Hamelsky '23 Lucy Paskoff '24 |
|
| Massachusetts Institute of Technology | Engineers | Charles Lindsay '21 Matthew Elliott '24 Max Katz-Christy '25 |
Yitian Zhu '25 Elissa Ito '23 Sarah Aaronson '23 |
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 ±0.02 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.