| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Boston College | Eagles | 13–2 | |
| 2 | Tufts University | Jumbos | 12–3 | |
| 3 | Boston University | Terriers | 10–5 | |
| 4 | Brown University | Bears | 7–8 | |
| 5 | Harvard University | Crimson | 3–12 | |
| 6 | Northeastern University | Huskies | 0–15 |
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 4,064 team race matches sailed before 2014-11-08, using the line-ups that actually raced. It called 31 of 45 matches (69%) with a log-loss of 0.477 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness +0.11 ± 0.30: a typical event, more orderly than 54% 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) |
|---|---|---|---|---|---|---|---|---|
| 2 | Tufts University | 7.63 | 9.49 | 12–3 | 7.0 | +1.86 | 6.4 | <1% |
| 3 | Boston University | 7.70 | 8.65 | 10–5 | 7.3 | +0.94 | 1.9 | 9% |
| 1 | Boston College | 9.14 | 9.58 | 13–2 | 12.2 | +0.44 | 0.3 | 43% |
| 4 | Brown University | 8.46 | 7.43 | 7–8 | 10.0 | −1.02 | 2.2 | 98% |
| 5 | Harvard University | 7.78 | 5.94 | 3–12 | 7.5 | −1.84 | 5.4 | >99% |
| 6 | Northeastern University | 5.51 | 2.51 | 0–15 | 1.2 | ≤−3.00 | 1.7 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Rolfe Glover | Tufts University | 2.83 | 4.69 | 12–3 | 7.0 | +1.86 | 6.4 | <1% |
| Casey Gowrie | Tufts University | 2.61 | 4.47 | 12–3 | 7.0 | +1.86 | 6.4 | <1% |
| Kate Shaner | Tufts University | 1.86 | 3.72 | 12–3 | 7.0 | +1.86 | 6.4 | <1% |
| Hannah Polster | Boston University | 2.89 | 3.83 | 10–5 | 7.3 | +0.94 | 1.9 | 9% |
| Ryan Schmitz | Boston College | 3.06 | 3.50 | 13–2 | 12.2 | +0.44 | 0.3 | 43% |
| Domenic Bove | Boston College | 2.99 | 3.43 | 13–2 | 12.2 | +0.44 | 0.3 | 43% |
| Allyson Donahue | Boston College | 2.98 | 3.42 | 13–2 | 12.2 | +0.44 | 0.3 | 43% |
| Timothy Harding | Brown University | 2.92 | 1.90 | 7–8 | 10.0 | −1.02 | 2.2 | 98% |
| Megan Grapengeter-Rudnick | Brown University | 2.85 | 1.83 | 7–8 | 10.0 | −1.02 | 2.2 | 98% |
| Reid Secondo | Brown University | 1.84 | 0.81 | 7–8 | 10.0 | −1.02 | 2.2 | 98% |
| Sophie Bermudez | Harvard University | 2.65 | 0.81 | 3–12 | 7.5 | −1.84 | 5.4 | >99% |
| Taylor Ladd | Harvard University | 2.16 | 0.32 | 3–12 | 7.5 | −1.84 | 5.4 | >99% |
| Bennett Capozzi | Harvard University | 2.52 | 0.67 | 3–12 | 7.5 | −1.84 | 5.4 | >99% |
| Luke Orchardo | Northeastern University | 1.53 | -1.47 | 0–15 | 1.2 | ≤−3.00 | 1.7 | >99% |
| Stephen Fletcher | Northeastern University | 1.12 | -1.88 | 0–15 | 1.2 | ≤−3.00 | 1.7 | >99% |
| Camille Matile | Northeastern University | 2.02 | -0.98 | 0–15 | 1.2 | ≤−3.00 | 1.7 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Eagles | Jumbos | Terriers | Bears | Crimson | Huskies | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 5–0 | ✕ | W | W | W | W | W | |
| Tufts University Jumbos | 4–1 | L | ✕ | W | W | W | W | |
| Boston University Terriers | 2–3 | L | L | ✕ | L | W | W | |
| Brown University Bears | 3–2 | L | L | W | ✕ | W | W | |
| Harvard University Crimson | 1–4 | L | L | L | L | ✕ | W | |
| Northeastern University Huskies | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Eagles | Jumbos | Terriers | Bears | Crimson | Huskies | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 4–1 | ✕ | L | W | W | W | W | |
| Tufts University Jumbos | 4–1 | W | ✕ | L | W | W | W | |
| Boston University Terriers | 4–1 | L | W | ✕ | W | W | W | |
| Brown University Bears | 2–3 | L | L | L | ✕ | W | W | |
| Harvard University Crimson | 1–4 | L | L | L | L | ✕ | W | |
| Northeastern University Huskies | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Eagles | Jumbos | Terriers | Bears | Crimson | Huskies | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 4–1 | ✕ | W | L | W | W | W | |
| Tufts University Jumbos | 4–1 | L | ✕ | W | W | W | W | |
| Boston University Terriers | 4–1 | W | L | ✕ | W | W | W | |
| Brown University Bears | 2–3 | L | L | L | ✕ | W | W | |
| Harvard University Crimson | 1–4 | L | L | L | L | ✕ | W | |
| Northeastern University Huskies | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Terriers | 1-3-5 | def. | Crimson | 2-4-6 | ||
| 2 | Bears | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 3 | Eagles | 1-2-6 | def. | Jumbos | 3-4-5 | ||
| 4 | Bears | 2-3-5 | def. | Terriers | 1-4-6 DNF | ||
| 5 | Jumbos | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 6 | Eagles | 1-2-3 | def. | Huskies | 4-5-6 | ||
| 7 | Jumbos | 1-2-4 | def. | Bears | 3-5-6 | ||
| 8 | Terriers | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 9 | Eagles | 2-3-5 | def. | Crimson | 1-4-6 | ||
| 10 | Jumbos | 2-3-4 | def. | Huskies | 1-5-6 | ||
| 11 | Bears | 1-3-6 | def. | Crimson | 2-4-5 | ||
| 12 | Eagles | 1-2-6 | def. | Terriers | 3-4-5 | ||
| 13 | Crimson | 2-3-4 | def. | Huskies | 1-5-6 | ||
| 14 | Jumbos | 1-3-4 | def. | Terriers | 2-5-6 | ||
| 15 | Eagles | 1-2-3 | def. | Bears | 4-5-6 | ||
| 16 | Terriers | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 17 | Bears | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 18 | Jumbos | 1-2-5 | def. | Eagles | 3-4-6 | ||
| 19 | Terriers | 1-2-6 | def. | Bears | 3-4-5 | ||
| 20 | Jumbos | 1-2-5 | def. | Crimson | 3-4-6 | ||
| 21 | Eagles | 1-2-3 | def. | Huskies | 4-5-6 | ||
| 22 | Jumbos | 2-3-5 | def. | Bears | 1-4-6 | ||
| 23 | Terriers | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 24 | Eagles | 1-2-4 | def. | Crimson | 3-5-6 | ||
| 25 | Jumbos | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 26 | Bears | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 27 | Eagles | 1-2-4 | def. | Terriers | 3-5-6 | ||
| 28 | Crimson | 2-3-4 | def. | Huskies | 1-5-6 | ||
| 29 | Terriers | 1-3-4 | def. | Jumbos | 2-5-6 | ||
| 30 | Eagles | 1-2-3 | def. | Bears | 4-5-6 | ||
| 31 | Bears | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 32 | Terriers | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 33 | Eagles | 1-2-5 | def. | Jumbos | 3-4-6 | ||
| 34 | Terriers | 1-4-5 | def. | Bears | 2-3-6 | ||
| 35 | Jumbos | 1-2-3 | def. | Crimson | 4-5-6 | ||
| 36 | Eagles | 1-2-5 | def. | Huskies | 3-4-6 | ||
| 37 | Jumbos | 2-3-5 | def. | Terriers | 1-4-6 | ||
| 38 | Bears | 1-2-6 | def. | Huskies | 3-4-5 | ||
| 39 | Eagles | 1-2-3 | def. | Crimson | 4-5-6 | ||
| 40 | Jumbos | 1-3-4 | def. | Huskies | 2-5-6 | ||
| 41 | Terriers | 1-2-5 | def. | Crimson | 3-4-6 | ||
| 42 | Eagles | 1-2-5 | def. | Bears | 3-4-6 | ||
| 43 | Crimson | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 44 | Jumbos | 1-2-6 | def. | Bears | 3-4-5 | ||
| 45 | Terriers | 1-3-5 | def. | Eagles | 2-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Boston College | Eagles | Allyson Donahue '17 Domenic Bove '15 Ryan Schmitz '15 |
Emily Schalka '15 Fiona Walsh '17 Kaitlin Driscoll '16 |
|
| Tufts University | Jumbos | Casey Gowrie '16 Kate Shaner '16 Rolfe Glover '16 |
Sadie Woolf '17 Julia Fuller '17 Leah Fletcher '17 |
|
| Boston University | Terriers | Hannah Polster '17 Nicholas Arabia '16 Reed Lorimer '18 |
Anna Booras '16 Katherine Bienkowski '17 Lily Lichtenstein '18 |
|
| Brown University | Bears | Megan Grapengeter-Rudnick '17 Reid Secondo '16 Timothy Harding '15 |
Katherine Sudol '16 Elizabeth Sturr '15 Olivia Lord '17 |
|
| Harvard University | Crimson | Bennett Capozzi '17 Sophie Bermudez '16 Taylor Ladd '18 |
Cara Kennedy Cuomo '17 Ashleigh Inglis '15 Kristina Jakobson '16 |
|
| Northeastern University | Huskies | Camille Matile '17 Luke Orchardo '16 Stephen Fletcher '17 |
Eleanor Grams '18 Alexandra Zhmakina '16 Lindsay Martinez '18 |
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 ±0.01 means a rating gap counts about 1% 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.