| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Tufts University | Jumbos | 11–1 | |
| 2 | Massachusetts Maritime Academy | Buccaneers | 8–4 | |
| 3 | Northeastern University | Huskies | 6–6 | |
| 4 | Bates College | Bobcats | 5–7 | |
| 5 | University of New Hampshire | Wildcats | 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 988 team race matches sailed before 2013-03-30, using the line-ups that actually raced. It called 27 of 30 matches (90%) with a log-loss of 0.323 (a coin flip scores 0.693), so the event went well for the forecast. 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 | 1 | 6.48 school +0.16 | Solomon Krevans / Chrisanthe Salemis 1.55 Rolfe Glover / Kate Wasynczuk 2.01 James Moody / Eliza White 2.50 | 89% | 11–1 (92%) | +0.3 |
| 2 | Massachusetts Maritime Academy Buccaneers | 2 | 4.86 home +0.52 | Daniel Barry / Kaitlyn Nanartowich Michael Reney / Leah Saunders Sean Mclaughlin / Matthew Ferlotti | 57% | 8–4 (67%) | +1.2 |
| 3 | Northeastern University Huskies | 4 | 4.37 | Matteo Alampi / Zach Shapiro Victoria Mcgruer / Evan Gregory Becker Awqatty / Emily Robinson | 46% | 6–6 (50%) | +0.5 |
| 4 | Bates College Bobcats | 3 | 4.84 | Tommy Holmberg / Edward Moan Samuel Scribner / Katlyn Flynn Mackenzie Macrae / Michela Moscufo | 56% | 5–7 (42%) | −1.8 |
| 5 | University of New Hampshire Wildcats | 5 | 0.81 | Ann Sager / Amelia Connell 0.94 David Mazotas / Kayla Wagner Zachary Karakouzian / Eva Golden -0.03 | 2% | 0–12 (0%) | −0.2 |
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) |
|---|---|---|---|---|---|---|---|---|
| 2 | Massachusetts Maritime Academy | 4.86 | 5.48 | 8–4 | 6.8 | +0.62 | 0.5 | 31% |
| 1 | Tufts University | 6.48 | 6.80 | 11–1 | 10.7 | +0.32 | 0.1 | 61% |
| 3 | Northeastern University | 4.37 | 4.61 | 6–6 | 5.6 | +0.24 | 0.1 | 50% |
| 4 | Bates College | 4.84 | 3.87 | 5–7 | 6.7 | −0.97 | 1.2 | 95% |
| 5 | University of New Hampshire | 0.81 | -2.19 | 0–12 | 0.2 | ≤−3.00 | 0.3 | >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 | Buccaneers | Huskies | Bobcats | Wildcats | |
|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 4–0 | ✕ | W | W | W | W | |
| Massachusetts Maritime Academy Buccaneers | 2–2 | L | ✕ | L | W | W | |
| Northeastern University Huskies | 2–2 | L | W | ✕ | L | W | |
| Bates College Bobcats | 2–2 | L | L | W | ✕ | W | |
| University of New Hampshire Wildcats | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Jumbos | Buccaneers | Huskies | Bobcats | Wildcats | |
|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 4–0 | ✕ | W | W | W | W | |
| Massachusetts Maritime Academy Buccaneers | 3–1 | L | ✕ | W | W | W | |
| Northeastern University Huskies | 2–2 | L | L | ✕ | W | W | |
| Bates College Bobcats | 1–3 | L | L | L | ✕ | W | |
| University of New Hampshire Wildcats | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Jumbos | Buccaneers | Huskies | Bobcats | Wildcats | |
|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 3–1 | ✕ | W | L | W | W | |
| Massachusetts Maritime Academy Buccaneers | 3–1 | L | ✕ | W | W | W | |
| Northeastern University Huskies | 2–2 | W | L | ✕ | L | W | |
| Bates College Bobcats | 2–2 | L | L | W | ✕ | W | |
| University of New Hampshire Wildcats | 0–4 | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Huskies | 1-2-4 | def. | Buccaneers | 3-5-6 | ||
| 2 | Jumbos | 1-2-3 | def. | Wildcats | 4-5-6 | ||
| 3 | Jumbos | 1-2-3 | def. | Buccaneers | 4-5-6 | ||
| 4 | Bobcats | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 5 | Jumbos | 2-3-4 | def. | Huskies | 1-5-6 | ||
| 6 | Bobcats | 1-2-6 | def. | Wildcats | 3-4-5 | ||
| 7 | Jumbos | 1-3-4 | def. | Bobcats | 2-5-6 | ||
| 8 | Buccaneers | 1-3-5 | def. | Wildcats | 2-4-6 | ||
| 9 | Huskies | 1-2-5 | def. | Wildcats | 3-4-6 | ||
| 10 | Buccaneers | 1-3-6 | def. | Bobcats | 2-4-5 | ||
| 11 | Buccaneers | 1-3-6 | def. | Bobcats | 2-4-5 | ||
| 12 | Huskies | 1-2-5 | def. | Wildcats | 3-4-6 | ||
| 13 | Buccaneers | 1-2-4 | def. | Wildcats | 3-5-6 | ||
| 14 | Jumbos | 1-2-6 | def. | Bobcats | 3-4-5 | ||
| 15 | Bobcats | 1-2-3 | def. | Wildcats | 4-5-6 | ||
| 16 | Jumbos | 1-4-5 | def. | Huskies | 2-3-6 | ||
| 17 | Huskies | 1-2-3 | def. | Bobcats | 4-5-6 | ||
| 18 | Jumbos | 1-4-5 | def. | Buccaneers | 2-3-6 | ||
| 19 | Jumbos | 1-2-3 | def. | Wildcats | 4-5-6 | ||
| 20 | Buccaneers | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 21 | Buccaneers | 1-3-6 | def. | Huskies | 2-4-5 | ||
| 22 | Jumbos | 1-2-4 | def. | Wildcats | 3-5-6 | ||
| 23 | Jumbos | 1-2-5 | def. | Buccaneers | 3-4-6 | ||
| 24 | Bobcats | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 25 | Huskies | 2-3-4 | def. | Jumbos | 1-5-6 | ||
| 26 | Bobcats | 1-2-3 | def. | Wildcats | 4-5-6 | ||
| 27 | Jumbos | 1-2-6 | def. | Bobcats | 3-4-5 | ||
| 28 | Buccaneers | 2-3-4 | def. | Wildcats | 1-5-6 | ||
| 29 | Huskies | 2-3-4 | def. | Wildcats | 1-5-6 | ||
| 30 | Buccaneers | 1-4-5 | def. | Bobcats | 2-3-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Tufts University | Jumbos | James Moody '16 Rolfe Glover '16 Solomon Krevans '14 |
Eliza White '14 Kate Wasynczuk '16 Chrisanthe Salemis '16 |
|
| Massachusetts Maritime Academy | Buccaneers | Daniel Barry '15 Michael Reney '13 Sean Mclaughlin '15 |
Kaitlyn Nanartowich '14 Leah Saunders '16 Matthew Ferlotti '15 |
|
| Northeastern University | Huskies | Becker Awqatty '14 Matteo Alampi '17 Victoria Mcgruer '17 |
Emily Robinson '17 Zach Shapiro '15 Evan Gregory '16 |
|
| Bates College | Bobcats | Mackenzie Macrae '16 Samuel Scribner '15 Tommy Holmberg '13 |
Michela Moscufo '16 Katlyn Flynn '15 Edward Moan '14 |
|
| University of New Hampshire | Wildcats | Ann Sager '13 David Mazotas '16 Zachary Karakouzian '16 |
Amelia Connell '16 Kayla Wagner '15 Eva Golden '16 |
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 ±0.08 means a rating gap counts about 7% 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.