| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Brown University | Bears | 8–0 | |
| 2 | University of Massachusetts at Amherst | Minutemen | 5–3 | |
| 3 | Massachusetts Maritime Academy | Buccaneers | 4–4 | |
| 4 | University of New Hampshire | Wildcats 1 | 3–5 | |
| 5 | University of New Hampshire | Wildcats 2 | 0–8 |
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 21,427 team race matches sailed before 2023-04-16, using the line-ups that actually raced. It called 8 of 10 matches (80%) with a log-loss of 0.393 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.20 ± 0.59: a typical event, more orderly than 66% 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 | Brown University Bears | 1 | 4.84 school +0.25 | Keller Morrison / Spencer Dellenbaugh 1.62 Daniel Van Heeckeren / Anna Steffen 1.29 Lucian Sharpe / William Salerno | 84% | 6–0 (100%) | +1.0 |
| 2 | University of Massachusetts at Amherst Minutemen | 3 | 3.07 school +0.07 | Marshall Rodes / Angelina Papa Tiernan O'Kane / Ozel Yilmazel Charlie Fairfax / Angelina Papa | 22% | 2–2 (50%) | +1.1 |
| 3 | Massachusetts Maritime Academy Buccaneers | 2 | 4.01 home +0.43 | Tyler Egeli / Luke Dubois 1.97 Caleb Burt / Addison Stead John Divelbiss / Jillian Harrington | 62% | 2–4 (33%) | −1.7 |
| 4 | University of New Hampshire Wildcats 1 | 4 | 2.34 | Sam Harris / Scott Senatore Jake Lacoche / Henry Poynter James Sullivan / Devyn Weed | 17% | 0–2 (0%) | −0.3 |
| 5 | University of New Hampshire Wildcats 2 | 5 | 0.94 | Sean Lund / Abigail Forcier Sonja Krajewski / Amelia Fisher Robert Caldwell / Julia Cotsonas | 2% | 0–2 (0%) | −0.0 |
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 | Brown University Bears | 4.84 | 7.84 | 6–0 | 5.0 | ≥+3.00 | 1.5 | 33% |
| 2 | University of Massachusetts at Amherst Minutemen | 3.07 | 4.42 | 2–2 | 0.9 | +1.35 | 1.2 | 20% |
| 3 | Massachusetts Maritime Academy Buccaneers | 4.01 | 2.57 | 2–4 | 3.7 | −1.44 | 1.8 | 98% |
| 4 | University of New Hampshire Wildcats 1 | 2.34 | -0.66 | 0–2 | 0.3 | ≤−3.00 | 0.5 | >99% |
| 5 | University of New Hampshire Wildcats 2 | 0.94 | -2.06 | 0–2 | 0.0 | ≤−3.00 | 0.1 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Marshall Rodes | University of Massachusetts at Amherst | 0.53 | 1.87 | 2–2 | 0.9 | +1.35 | 1.2 | 20% |
| John Divelbiss | Massachusetts Maritime Academy | 0.70 | -0.73 | 2–4 | 3.7 | −1.44 | 1.8 | 98% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Rd | # | Winner | Loser | P(winner) | |
|---|---|---|---|---|---|
| 1 | 3 | Brown University Bears | University of Massachusetts at Amherst Minutemen | 87% | |
| 1 | 4 | Massachusetts Maritime Academy Buccaneers | University of New Hampshire Wildcats 1 | 83% | |
| 1 | 5 | Brown University Bears | University of New Hampshire Wildcats 2 | 98% | |
| 1 | 6 | University of Massachusetts at Amherst Minutemen | Massachusetts Maritime Academy Buccaneers | 29% | upset |
| 1 | 8 | Brown University Bears | Massachusetts Maritime Academy Buccaneers | 69% | |
| 2 | 13 | Brown University Bears | University of Massachusetts at Amherst Minutemen | 85% | |
| 2 | 14 | Massachusetts Maritime Academy Buccaneers | University of New Hampshire Wildcats 1 | 83% | |
| 2 | 15 | Brown University Bears | University of New Hampshire Wildcats 2 | 98% | |
| 2 | 16 | University of Massachusetts at Amherst Minutemen | Massachusetts Maritime Academy Buccaneers | 29% | upset |
| 2 | 18 | Brown University Bears | Massachusetts Maritime Academy Buccaneers | 68% |
| Team | Rec. | Bears | Minutemen | Buccaneers | 1 | 2 | |
|---|---|---|---|---|---|---|---|
| Brown University Bears | 4–0 | ✕ | W | W | W | W | |
| University of Massachusetts at Amherst Minutemen | 2–2 | L | ✕ | W | W | W | |
| Massachusetts Maritime Academy Buccaneers | 2–2 | L | L | ✕ | W | W | |
| University of New Hampshire Wildcats 1 | 2–6 | L | L | L | ✕ | ✕ | |
| University of New Hampshire Wildcats 2 | 2–6 | L | L | L | ✕ | ✕ |
| Team | Rec. | Bears | Minutemen | Buccaneers | 1 | 2 | |
|---|---|---|---|---|---|---|---|
| Brown University Bears | 4–0 | ✕ | W | W | W | W | |
| University of Massachusetts at Amherst Minutemen | 3–1 | L | ✕ | W | W | W | |
| Massachusetts Maritime Academy Buccaneers | 2–2 | L | L | ✕ | W | W | |
| University of New Hampshire Wildcats 1 | 1–7 | L | L | L | ✕ | ✕ | |
| University of New Hampshire Wildcats 2 | 1–7 | L | L | L | ✕ | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Bears | 1-2-3 | def. | Wildcats 1 | 4-5-6 | ||
| 2 | Buccaneers | 1-2-3 | def. | Wildcats 2 | 4-5-6 | ||
| 3 | Bears | 1-2-6 | def. | Minutemen | 3-4-5 | ||
| 4 | Buccaneers | 2-3-6 | def. | Wildcats 1 | 1-4-5 DSQ | ||
| 5 | Bears | 1-2-5 | def. | Wildcats 2 | 3-4-6 | ||
| 6 | Minutemen | 1-2-6 | def. | Buccaneers | 3-4-5 | ||
| 7 | Wildcats 1 | 1-3-6 | def. | Minutemen | 2-4-5 | ||
| 8 | Bears | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 9 | Wildcats 1 | 1-2-3 | def. | Wildcats 2 | 4-5-6 | ||
| 10 | Minutemen | 1-2-6 | def. | Wildcats 2 | 3-4-5 | ||
| 11 | Bears | 1-2-5 | def. | Wildcats 1 | 3-4-6 | ||
| 12 | Buccaneers | 2-3-4 | def. | Wildcats 2 | 1-5-6 | ||
| 13 | Bears | 1-2-6 | def. | Minutemen | 3-4-5 | ||
| 14 | Buccaneers | 1-3-6 | def. | Wildcats 1 | 2-4-5 | ||
| 15 | Bears | 1-2-4 | def. | Wildcats 2 | 3-5-6 | ||
| 16 | Minutemen | 1-3-6 | def. | Buccaneers | 2-4-5 | ||
| 17 | Minutemen | 2-3-4 | def. | Wildcats 1 | 1-5-6 | ||
| 18 | Bears | 1-2-4 | def. | Buccaneers | 3-5-6 | ||
| 19 | Wildcats 1 | 1-2-4 | def. | Wildcats 2 | 3-5-6 | ||
| 20 | Minutemen | 1-2-5 | def. | Wildcats 2 | 3-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Brown University | Bears | Daniel Van Heeckeren '26 Keller Morrison '25 Lucian Sharpe '24 |
Anna Steffen '25 Spencer Dellenbaugh '23 William Salerno '25 |
|
| University of Massachusetts at Amherst | Minutemen | Charlie Fairfax '26 Marshall Rodes '26 Tiernan O'Kane '26 |
Angelina Papa '26 Ozel Yilmazel '25 |
|
| Massachusetts Maritime Academy | Buccaneers | Caleb Burt '25 John Divelbiss '24 Tyler Egeli '24 |
Addison Stead '23 Jillian Harrington '23 Luke Dubois '26 |
|
| University of New Hampshire | Wildcats 1 | Jake Lacoche '26 James Sullivan '25 Sam Harris '26 |
Henry Poynter '26 Devyn Weed '25 Scott Senatore '26 |
|
| University of New Hampshire | Wildcats 2 | Robert Caldwell '25 Sean Lund '26 Sonja Krajewski '26 |
Julia Cotsonas '26 Abigail Forcier '25 Amelia Fisher '26 |
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% 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.