| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Tufts University | Jumbos | 10–2 | |
| 2 | Roger Williams University | Hawks | 8–4 | |
| 3 | Bowdoin College | Polar Bears | 8–4 | |
| 4 | Northeastern University | Huskies | 4–8 | |
| 5 | Massachusetts Maritime Academy | Buccaneers | 0–12 |
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 8,592 team race matches sailed before 2017-04-02, using the line-ups that actually raced. It called 25 of 30 matches (83%) with a log-loss of 0.417 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.00 ± 0.33: a typical event, more orderly than 42% 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 | Tufts University Jumbos | 2 | 8.39 school +0.07 | Florian Eenkema Van Dijk / Sarah Bunney Samuel Shea / Emma Clutterbuck Jackson Mccoy / Emily Calandrella 2.79 | 75% | 10–2 (83%) | +1.0 |
| 2 | Roger Williams University Hawks | 1 | 8.54 school +0.09 | Preston Duclos / Kylie Freitas 2.77 Kelsey Shakin / Tyler Killion 2.61 Peter Neal / Kristi Dolan 2.99 | 79% | 8–4 (67%) | −1.5 |
| 3 | Bowdoin College Polar Bears | 3 | 7.65 school +0.22 | Michael Kann / Caitlin Tardio 1.92 Christian Filter / Marie Bergsund 2.88 Matt Safford / Hannah Konkel 2.42 | 61% | 8–4 (67%) | +0.7 |
| 4 | Northeastern University Huskies | 4 | 5.71 | Kyle Riggs / Romain Astie Carolyn Corbet / Julia Boll Zachary Bresnick / Jon Ewing | 22% | 4–8 (33%) | +1.4 |
| 5 | Massachusetts Maritime Academy Buccaneers | 5 | 5.23 school +0.06, home +0.38 | Adam Bilodeau / Maya Stephani Alexander Bowen / Sergio Gratta Braden Foster / Megan Laurie | 14% | 0–12 (0%) | −1.6 |
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 | Northeastern University | 5.71 | 6.61 | 4–8 | 2.6 | +0.90 | 1.0 | 21% |
| 1 | Tufts University | 8.39 | 9.01 | 10–2 | 9.0 | +0.62 | 0.4 | 37% |
| 3 | Bowdoin College | 7.65 | 8.05 | 8–4 | 7.3 | +0.40 | 0.2 | 43% |
| 2 | Roger Williams University | 8.54 | 7.73 | 8–4 | 9.5 | −0.82 | 0.9 | 94% |
| 5 | Massachusetts Maritime Academy | 5.23 | 2.23 | 0–12 | 1.6 | ≤−3.00 | 2.7 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Kyle Riggs | Northeastern University | 1.85 | 2.75 | 4–8 | 2.6 | +0.90 | 1.0 | 21% |
| Carolyn Corbet | Northeastern University | 1.47 | 2.37 | 4–8 | 2.6 | +0.90 | 1.0 | 21% |
| Zachary Bresnick | Northeastern University | 1.69 | 2.59 | 4–8 | 2.6 | +0.90 | 1.0 | 21% |
| Samuel Shea | Tufts University | 2.39 | 3.01 | 10–2 | 9.0 | +0.62 | 0.4 | 37% |
| Michael Kann | Bowdoin College | 1.92 | 2.32 | 8–4 | 7.3 | +0.40 | 0.2 | 43% |
| Adam Bilodeau | Massachusetts Maritime Academy | 1.38 | -1.62 | 0–12 | 1.6 | ≤−3.00 | 2.7 | >99% |
| Alexander Bowen | Massachusetts Maritime Academy | 1.93 | -1.07 | 0–12 | 1.6 | ≤−3.00 | 2.7 | >99% |
| Braden Foster | Massachusetts Maritime Academy | 1.09 | -1.91 | 0–12 | 1.6 | ≤−3.00 | 2.7 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Jumbos | Hawks | Bears | Huskies | Buccaneers | |
|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 4–0 | ✕ | W | W | W | W | |
| Roger Williams University Hawks | 2–2 | L | ✕ | W | L | W | |
| Bowdoin College Polar Bears | 2–2 | L | L | ✕ | W | W | |
| Northeastern University Huskies | 2–2 | L | W | L | ✕ | W | |
| Massachusetts Maritime Academy Buccaneers | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Jumbos | Hawks | Bears | Huskies | Buccaneers | |
|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 4–0 | ✕ | W | W | W | W | |
| Roger Williams University Hawks | 2–2 | L | ✕ | L | W | W | |
| Bowdoin College Polar Bears | 3–1 | L | W | ✕ | W | W | |
| Northeastern University Huskies | 1–3 | L | L | L | ✕ | W | |
| Massachusetts Maritime Academy Buccaneers | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Jumbos | Hawks | Bears | Huskies | Buccaneers | |
|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 2–2 | ✕ | L | L | W | W | |
| Roger Williams University Hawks | 4–0 | W | ✕ | W | W | W | |
| Bowdoin College Polar Bears | 3–1 | W | L | ✕ | W | W | |
| Northeastern University Huskies | 1–3 | L | L | L | ✕ | W | |
| Massachusetts Maritime Academy Buccaneers | 0–4 | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Polar Bears | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 2 | Huskies | 1-4-5 | def. | Hawks | 2-3-6 | ||
| 3 | Jumbos | 1-4-5 | def. | Polar Bears | 2-3-6 | ||
| 4 | Huskies | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 5 | Polar Bears | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 6 | Jumbos | 1-2-6 | def. | Hawks | 3-4-5 | ||
| 7 | Jumbos | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 8 | Hawks | 2-3-4 | def. | Polar Bears | 1-5-6 | ||
| 9 | Jumbos | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 10 | Hawks | 1-2-4 | def. | Buccaneers | 3-5-6 | ||
| 11 | Jumbos | 1-2-6 | def. | Polar Bears | 3-4-5 | ||
| 12 | Huskies | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 13 | Jumbos | 2-3-4 | def. | Hawks | 1-5-6 | ||
| 14 | Polar Bears | 1-2-6 | def. | Buccaneers | 3-4-5 | ||
| 15 | Jumbos | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 16 | Hawks | 1-3-4 | def. | Huskies | 2-5-6 | ||
| 17 | Polar Bears | 1-2-6 | def. | Hawks | 3-4-5 | ||
| 18 | Jumbos | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 19 | Hawks | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 20 | Polar Bears | 2-3-4 | def. | Huskies | 1-5-6 | ||
| 21 | Hawks | 1-2-6 | def. | Jumbos | 3-4-5 | ||
| 22 | Polar Bears | 1-2-6 | def. | Buccaneers | 3-4-5 | ||
| 23 | Hawks | 1-2-3 | def. | Huskies | 4-5-6 | ||
| 24 | Polar Bears | 1-2-6 | def. | Jumbos | 3-4-5 | ||
| 25 | Hawks | 1-2-4 | def. | Polar Bears | 3-5-6 | ||
| 26 | Huskies | 2-3-5 | def. | Buccaneers | 1-4-6 | ||
| 27 | Jumbos | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 28 | Hawks | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 29 | Polar Bears | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 30 | Jumbos | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Tufts University | Jumbos | Florian Eenkema Van Dijk '19 Jackson Mccoy '19 Samuel Shea '19 |
Sarah Bunney '19 Emily Calandrella '20 Emma Clutterbuck '20 |
|
| Roger Williams University | Hawks | Kelsey Shakin '19 Peter Neal '20 Preston Duclos '19 |
Tyler Killion '18 Kristi Dolan '20 Kylie Freitas '20 |
|
| Bowdoin College | Polar Bears | Christian Filter '20 Matt Safford '20 Michael Kann '19 |
Marie Bergsund '20 Hannah Konkel '20 Caitlin Tardio '19 |
|
| Northeastern University | Huskies | Carolyn Corbet '21 Kyle Riggs '21 Zachary Bresnick '21 |
Julia Boll '21 Romain Astie '20 Jon Ewing '21 |
|
| Massachusetts Maritime Academy | Buccaneers | Adam Bilodeau '20 Alexander Bowen '20 Braden Foster '19 |
Maya Stephani '20 Sergio Gratta '18 Megan Laurie '20 |
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% 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.