| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Boston College | Eagles | 9–1 | |
| 2 | Tufts University | Jumbos | 8–2 | |
| 3 | Roger Williams University | Hawks | 6–4 | |
| 4 | Fordham University | Rams | 4–6 | |
| 5 | Hobart and William Smith Colleges | Statesmen | 3–7 | |
| 6 | Harvard University | Crimson | 0–10 |
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 4,801 team race matches sailed before 2015-03-28, using the line-ups that actually raced. It called 22 of 30 matches (73%) with a log-loss of 0.463 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness +0.27 ± 0.36: a typical event, more orderly than 73% 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 | Boston College | 9.72 | 10.60 | 9–1 | 8.0 | +0.88 | 0.6 | 37% |
| 4 | Fordham University | 7.33 | 8.14 | 4–6 | 2.5 | +0.80 | 0.9 | 21% |
| 3 | Roger Williams University | 8.38 | 8.91 | 6–4 | 5.0 | +0.53 | 0.4 | 35% |
| 2 | Tufts University | 9.54 | 9.79 | 8–2 | 7.6 | +0.25 | 0.1 | 57% |
| 5 | Hobart and William Smith Colleges | 7.56 | 7.55 | 3–7 | 3.0 | −0.01 | 0.0 | 64% |
| 6 | Harvard University | 7.92 | 4.92 | 0–10 | 3.9 | ≤−3.00 | 7.4 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Domenic Bove | Boston College | 2.99 | 3.86 | 9–1 | 8.0 | +0.88 | 0.6 | 37% |
| Harry Koeppel | Boston College | 3.26 | 4.14 | 9–1 | 8.0 | +0.88 | 0.6 | 37% |
| Henry Dumke | Boston College | 3.10 | 3.98 | 9–1 | 8.0 | +0.88 | 0.6 | 37% |
| Adam Keally | Fordham University | 2.50 | 3.30 | 4–6 | 2.5 | +0.80 | 0.9 | 21% |
| Anders Ekholm | Fordham University | 2.17 | 2.98 | 4–6 | 2.5 | +0.80 | 0.9 | 21% |
| Adelaide Ferguson | Fordham University | 2.60 | 3.40 | 4–6 | 2.5 | +0.80 | 0.9 | 21% |
| Michael Gemperline | Roger Williams University | 2.67 | 3.20 | 6–4 | 5.0 | +0.53 | 0.4 | 35% |
| James Kennedy | Roger Williams University | 2.66 | 3.19 | 6–4 | 5.0 | +0.53 | 0.4 | 35% |
| Scott Barbano | Tufts University | 3.22 | 3.46 | 8–2 | 7.6 | +0.25 | 0.1 | 57% |
| Casey Gowrie | Tufts University | 3.03 | 3.27 | 8–2 | 7.6 | +0.25 | 0.1 | 57% |
| John Rolander | Tufts University | 2.99 | 3.24 | 8–2 | 7.6 | +0.25 | 0.1 | 57% |
| Noah Barrengos Barrengos | Hobart and William Smith Colleges | 2.32 | 2.31 | 3–7 | 3.0 | −0.01 | 0.0 | 64% |
| Taylor Ladd | Harvard University | 2.54 | -0.46 | 0–10 | 3.9 | ≤−3.00 | 7.4 | >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 | Hawks | Rams | Statesmen | Crimson | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 4–1 | ✕ | L | W | W | W | W | |
| Tufts University Jumbos | 4–1 | W | ✕ | L | W | W | W | |
| Roger Williams University Hawks | 3–2 | L | W | ✕ | L | W | W | |
| Fordham University Rams | 2–3 | L | L | W | ✕ | L | W | |
| Hobart and William Smith Colleges Statesmen | 2–3 | L | L | L | W | ✕ | W | |
| Harvard University Crimson | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Eagles | Jumbos | Hawks | Rams | Statesmen | Crimson | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 5–0 | ✕ | W | W | W | W | W | |
| Tufts University Jumbos | 4–1 | L | ✕ | W | W | W | W | |
| Roger Williams University Hawks | 3–2 | L | L | ✕ | W | W | W | |
| Fordham University Rams | 2–3 | L | L | L | ✕ | W | W | |
| Hobart and William Smith Colleges Statesmen | 1–4 | L | L | L | L | ✕ | W | |
| Harvard University Crimson | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Statesmen | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 2 | Rams | 1-2-6 | def. | Hawks | 3-4-5 | ||
| 3 | Jumbos | 2-3-5 | def. | Eagles | 1-4-6 | ||
| 4 | Rams | 1-2-6 DNF | def. | Crimson | 3-4-5 | ||
| 5 | Jumbos | 1-3-4 | def. | Statesmen | 2-5-6 | ||
| 6 | Eagles | 1-2-3 | def. | Hawks | 4-5-6 | ||
| 7 | Jumbos | 2-3-4 | def. | Rams | 1-5-6 DNS | ||
| 8 | Hawks | 1-3-4 | def. | Crimson | 2-5-6 | ||
| 9 | Eagles | 1-2-5 | def. | Statesmen | 3-4-6 | ||
| 10 | Hawks | 1-2-5 | def. | Jumbos | 3-4-6 | ||
| 11 | Statesmen | 1-2-5 | def. | Rams | 3-4-6 DNS | ||
| 12 | Eagles | 1-2-3 | def. | Crimson | 4-5-6 | ||
| 13 | Hawks | 1-2-4 | def. | Statesmen | 3-5-6 | ||
| 14 | Jumbos | 1-2-3 | def. | Crimson | 4-5-6 | ||
| 15 | Eagles | 1-2-3 | def. | Rams | 4-5-6 DNS,DNS,DNS | ||
| 16 | Statesmen | 1-3-4 | def. | Crimson | 2-5-6 | ||
| 17 | Hawks | 1-2-6 | def. | Rams | 3-4-5 | ||
| 18 | Eagles | 1-2-3 | def. | Jumbos | 4-5-6 | ||
| 19 | Rams | 1-2-4 | def. | Crimson | 3-5-6 | ||
| 20 | Jumbos | 1-2-5 | def. | Statesmen | 3-4-6 | ||
| 21 | Eagles | 1-3-5 | def. | Hawks | 2-4-6 | ||
| 22 | Jumbos | 1-2-4 | def. | Rams | 3-5-6 | ||
| 23 | Hawks | 2-3-4 | def. | Crimson | 1-5-6 | ||
| 24 | Eagles | 1-2-5 | def. | Statesmen | 3-4-6 | ||
| 25 | Jumbos | 1-2-4 | def. | Hawks | 3-5-6 | ||
| 26 | Rams | 1-2-5 | def. | Statesmen | 3-4-6 | ||
| 27 | Eagles | 1-2-3 | def. | Crimson | 4-5-6 | ||
| 28 | Hawks | 1-2-6 | def. | Statesmen | 3-4-5 | ||
| 29 | Jumbos | 1-2-5 | def. | Crimson | 3-4-6 | ||
| 30 | Eagles | 2-3-4 | def. | Rams | 1-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Boston College | Eagles | Domenic Bove '15 Harry Koeppel '17 Henry Dumke '17 |
Brooke Hensley '18 Kaitlin Driscoll '16 Emily Schalka '15 |
|
| Tufts University | Jumbos | Casey Gowrie '16 John Rolander '17 Scott Barbano '17 |
Leah Fletcher '17 Natalie Danziger '17 Caroline Atwood '16 |
|
| Roger Williams University | Hawks | James Kennedy '17 Michael Gemperline '17 Stewart Draheim '16 |
Beatrice Bellacosa '17 Morgan Wheeler '15 James Bartlein '15 |
|
| Fordham University | Rams | Adam Keally '15 Adelaide Ferguson '17 Anders Ekholm '17 |
Katherine Jones '18 Lauren Holderman '18 Gabrielle Mascio '18 |
|
| Hobart and William Smith Colleges | Statesmen | Connor Swikart '18 Noah Barrengos Barrengos '18 Parker Trepton '18 |
Elizabeth Mccabe '18 Christine Moloney '17 Adam Schaefer '17 |
|
| Harvard University | Crimson | Dylan Farrell '18 Nick Sertl '18 Taylor Ladd '18 |
Olivia Kjorlien '17 Nomin-Erdene Jagdagdorj '17 Kristina Jakobson '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 ±0.02 means a rating gap counts about 1% 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.