| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Connecticut College | Camels | 19–1 | |
| 2 | U. S. Coast Guard Academy | Bears | 16–4 | |
| 3 | University of Vermont | Catamounts | 10–10 | |
| 4 | University of Rhode Island | Rams | 10–10 | |
| 5 | Northeastern University | Huskies | 5–15 | |
| 6 | Massachusetts Maritime Academy | Buccaneers | 0–20 |
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 10,346 team race matches sailed before 2018-03-24, using the line-ups that actually raced. It called 52 of 60 matches (87%) with a log-loss of 0.326 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.42 ± 0.24: an orderly event, more orderly than 86% 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) |
|---|---|---|---|---|---|---|---|---|
| 1 | Connecticut College | 9.86 | 11.15 | 19–1 | 17.1 | +1.28 | 1.5 | 17% |
| 3 | University of Vermont | 7.42 | 8.11 | 10–10 | 7.6 | +0.69 | 1.2 | 15% |
| 2 | U. S. Coast Guard Academy | 9.02 | 9.64 | 16–4 | 14.1 | +0.62 | 0.8 | 23% |
| 4 | University of Rhode Island | 8.17 | 8.08 | 10–10 | 10.3 | −0.09 | 0.0 | 67% |
| 5 | Northeastern University | 7.90 | 6.38 | 5–15 | 9.7 | −1.53 | 4.9 | >99% |
| 6 | Massachusetts Maritime Academy | 5.42 | 2.42 | 0–20 | 1.2 | ≤−3.00 | 1.6 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Walter Florio | Connecticut College | 2.99 | 4.27 | 19–1 | 17.1 | +1.28 | 1.5 | 17% |
| Vincent Yannelli | University of Vermont | 2.10 | 2.78 | 10–10 | 7.6 | +0.69 | 1.2 | 15% |
| Austin Lettengarver | U. S. Coast Guard Academy | 2.96 | 3.58 | 16–4 | 14.1 | +0.62 | 0.8 | 23% |
| Kurran Singh | Northeastern University | 2.40 | 0.87 | 5–15 | 9.7 | −1.53 | 4.9 | >99% |
| Kyle Riggs | Northeastern University | 2.33 | 0.80 | 5–15 | 9.7 | −1.53 | 4.9 | >99% |
| Braden Foster | Massachusetts Maritime Academy | 1.25 | -1.75 | 0–20 | 1.2 | ≤−3.00 | 1.6 | >99% |
| Alexander Bowen | Massachusetts Maritime Academy | 1.98 | -1.02 | 0–20 | 1.2 | ≤−3.00 | 1.6 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Camels | Bears | Catamounts | Rams | Huskies | Buccaneers | |
|---|---|---|---|---|---|---|---|---|
| Connecticut College Camels | 4–1 | ✕ | L | W | W | W | W | |
| U. S. Coast Guard Academy Bears | 4–1 | W | ✕ | W | L | W | W | |
| University of Vermont Catamounts | 3–2 | L | L | ✕ | W | W | W | |
| University of Rhode Island Rams | 3–2 | L | W | L | ✕ | W | W | |
| Northeastern University Huskies | 1–4 | L | L | L | L | ✕ | W | |
| Massachusetts Maritime Academy Buccaneers | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Camels | Bears | Catamounts | Rams | Huskies | Buccaneers | |
|---|---|---|---|---|---|---|---|---|
| Connecticut College Camels | 5–0 | ✕ | W | W | W | W | W | |
| U. S. Coast Guard Academy Bears | 4–1 | L | ✕ | W | W | W | W | |
| University of Vermont Catamounts | 1–4 | L | L | ✕ | L | L | W | |
| University of Rhode Island Rams | 3–2 | L | L | W | ✕ | W | W | |
| Northeastern University Huskies | 2–3 | L | L | W | L | ✕ | W | |
| Massachusetts Maritime Academy Buccaneers | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Camels | Bears | Catamounts | Rams | Huskies | Buccaneers | |
|---|---|---|---|---|---|---|---|---|
| Connecticut College Camels | 5–0 | ✕ | W | W | W | W | W | |
| U. S. Coast Guard Academy Bears | 4–1 | L | ✕ | W | W | W | W | |
| University of Vermont Catamounts | 3–2 | L | L | ✕ | W | W | W | |
| University of Rhode Island Rams | 2–3 | L | L | L | ✕ | W | W | |
| Northeastern University Huskies | 1–4 | L | L | L | L | ✕ | W | |
| Massachusetts Maritime Academy Buccaneers | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Camels | Bears | Catamounts | Rams | Huskies | Buccaneers | |
|---|---|---|---|---|---|---|---|---|
| Connecticut College Camels | 5–0 | ✕ | W | W | W | W | W | |
| U. S. Coast Guard Academy Bears | 4–1 | L | ✕ | W | W | W | W | |
| University of Vermont Catamounts | 3–2 | L | L | ✕ | W | W | W | |
| University of Rhode Island Rams | 2–3 | L | L | L | ✕ | W | W | |
| Northeastern University Huskies | 1–4 | L | L | L | L | ✕ | W | |
| Massachusetts Maritime Academy Buccaneers | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Camels | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 2 | Rams | 1-2-3 | def. | Huskies | 4-5-6 | ||
| 3 | Bears | 1-2-3 | def. | Catamounts | 4-5-6 | ||
| 4 | Camels | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 5 | Catamounts | 2-3-4 | def. | Buccaneers | 1-5-6 | ||
| 6 | Rams | 2-3-4 | def. | Bears | 1-5-6 | ||
| 7 | Catamounts | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 8 | Camels | 2-3-4 | def. | Rams | 1-5-6 | ||
| 9 | Bears | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 10 | Catamounts | 1-2-6 | def. | Rams | 3-4-5 | ||
| 11 | Huskies | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 12 | Bears | 1-2-4 | def. | Camels | 3-5-6 | ||
| 13 | Rams | 1-2-4 | def. | Buccaneers | 3-5-6 | ||
| 14 | Camels | 1-2-5 | def. | Catamounts | 3-4-6 | ||
| 15 | Bears | 2-3-5 | def. | Huskies | 1-4-6 | ||
| 16 | Camels | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 17 | Rams | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 18 | Bears | 1-2-5 | def. | Catamounts | 3-4-6 | ||
| 19 | Camels | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 20 | Catamounts | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 21 | Bears | 1-2-4 | def. | Rams | 3-5-6 | ||
| 22 | Huskies | 1-2-6 | def. | Catamounts | 3-4-5 | ||
| 23 | Camels | 1-2-3 | def. | Rams | 4-5-6 | ||
| 24 | Bears | 1-2-4 | def. | Buccaneers | 3-5-6 | ||
| 25 | Rams | 1-3-4 | def. | Catamounts | 2-5-6 | ||
| 26 | Huskies | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 27 | Camels | 1-2-5 | def. | Bears | 3-4-6 | ||
| 28 | Rams | 1-2-4 | def. | Buccaneers | 3-5-6 | ||
| 29 | Camels | 1-2-4 | def. | Catamounts | 3-5-6 | ||
| 30 | Bears | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 31 | Camels | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 32 | Rams | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 33 | Bears | 1-2-4 | def. | Catamounts | 3-5-6 | ||
| 34 | Camels | 1-2-3 | def. | Huskies | 4-5-6 | ||
| 35 | Catamounts | 2-3-4 | def. | Buccaneers | 1-5-6 | ||
| 36 | Bears | 1-3-4 | def. | Rams | 2-5-6 | ||
| 37 | Catamounts | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 38 | Camels | 1-2-5 | def. | Rams | 3-4-6 | ||
| 39 | Bears | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 40 | Catamounts | 1-2-6 | def. | Rams | 3-4-5 | ||
| 41 | Huskies | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 42 | Camels | 1-2-5 | def. | Bears | 3-4-6 | ||
| 43 | Rams | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 44 | Camels | 1-2-5 | def. | Catamounts | 3-4-6 | ||
| 45 | Bears | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 46 | Camels | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 47 | Rams | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 48 | Bears | 1-2-3 | def. | Catamounts | 4-5-6 | ||
| 49 | Camels | 1-2-3 | def. | Huskies | 4-5-6 | ||
| 50 | Catamounts | 1-2-4 | def. | Buccaneers | 3-5-6 | ||
| 51 | Bears | 1-2-5 | def. | Rams | 3-4-6 | ||
| 52 | Catamounts | 1-4-5 | def. | Huskies | 2-3-6 | ||
| 53 | Camels | 2-3-4 | def. | Rams | 1-5-6 | ||
| 54 | Bears | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 55 | Catamounts | 1-3-4 | def. | Rams | 2-5-6 | ||
| 56 | Huskies | 1-3-5 | def. | Buccaneers | 2-4-6 | ||
| 57 | Camels | 1-2-6 | def. | Bears | 3-4-5 | ||
| 58 | Rams | 1-2-6 | def. | Buccaneers | 3-4-5 | ||
| 59 | Camels | 1-2-3 | def. | Catamounts | 4-5-6 | ||
| 60 | Bears | 1-2-3 | def. | Huskies | 4-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Connecticut College | Camels | Carter Pemberton '20 Hugh Macgillivray '18 Walter Florio '18 |
Cecilia Moreira '20 Elizabeth Davis '21 Albert Rodiger '18 |
|
| U. S. Coast Guard Academy | Bears | Austin Lettengarver '19 Dana Rohde '18 Mack Fox '20 Shane Riera '21 |
Maddie Ekin '20 Brian Nelson '21 Anna Morin '19 |
|
| University of Vermont | Catamounts | Colin Richards '20 Jan Kite-Powell '19 Vincent Yannelli '19 |
Amanda Engeman '20 Nellie Stidham '21 Lilla Salvesen '18 Isabella Arnaboldi '21 |
|
| University of Rhode Island | Rams | Brendan Read '19 Dakota Northrup '19 Luke Ingalls '21 |
Lauren Richards '19 Kathryn Nota '19 Caitlin Abel '21 |
|
| Northeastern University | Huskies | Jackson Hamilton '19 Kurran Singh '19 Kyle Riggs '21 |
Jacqueline Berlin '19 John Hughes '18 Jon Ewing '21 Marika Van Dusen '21 |
|
| Massachusetts Maritime Academy | Buccaneers | Alexander Bowen '20 Braden Foster '19 Frank Reeg '19 |
Megan Laurie '20 Maya Stephani '20 Sydney Clays '21 |
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 ±0.09 means a rating gap counts about 8% 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.