| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | George Washington University | Colonials | 14–1 | |
| 2 | U. S. Merchant Marine Academy | Mariners | 10–5 | |
| 3 | Cornell University | Big Red | 10–5 | |
| 4 | Hobart and William Smith Colleges | Statesmen | 8–7 | |
| 5 | Webb Institute | Clippers | 2–13 | |
| 6 | Washington College | Shoremen | 1–14 |
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 4,579 team race matches sailed before 2015-03-21, using the line-ups that actually raced. It called 38 of 45 matches (84%) with a log-loss of 0.308 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.30 ± 0.28: an orderly event, more orderly than 76% 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) |
|---|---|---|---|---|---|---|---|---|
| 3 | Cornell University | 7.44 | 8.32 | 10–5 | 8.1 | +0.88 | 1.2 | 16% |
| 1 | George Washington University | 9.36 | 9.89 | 14–1 | 13.5 | +0.53 | 0.2 | 52% |
| 4 | Hobart and William Smith Colleges | 6.47 | 6.88 | 8–7 | 7.0 | +0.41 | 0.3 | 37% |
| 2 | U. S. Merchant Marine Academy | 8.15 | 7.63 | 10–5 | 11.1 | −0.52 | 0.4 | 87% |
| 6 | Washington College | 5.00 | 4.17 | 1–14 | 1.9 | −0.83 | 0.5 | 90% |
| 5 | Webb Institute | 5.28 | 4.41 | 2–13 | 3.5 | −0.87 | 0.9 | 93% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| William Fortenbaugh | Hobart and William Smith Colleges | 0.84 | 2.32 | 5–4 | 2.8 | +1.49 | 2.4 | 7% |
| Daniel Birmingham | Cornell University | 1.87 | 2.75 | 10–5 | 8.1 | +0.88 | 1.2 | 16% |
| Matthew Schofield | Cornell University | 2.78 | 3.65 | 10–5 | 8.1 | +0.88 | 1.2 | 16% |
| Brendan Shanahan | George Washington University | 2.85 | 3.39 | 14–1 | 13.5 | +0.53 | 0.2 | 52% |
| Noah Barrengos Barrengos | Hobart and William Smith Colleges | 1.87 | 2.36 | 8–4 | 6.9 | +0.49 | 0.4 | 34% |
| Max Neubelt | U. S. Merchant Marine Academy | 2.58 | 2.60 | 9–3 | 9.0 | +0.01 | 0.0 | 67% |
| Andrew Bates | U. S. Merchant Marine Academy | 2.52 | 2.00 | 10–5 | 11.1 | −0.52 | 0.4 | 87% |
| Charles Lomax | U. S. Merchant Marine Academy | 3.13 | 2.61 | 10–5 | 11.1 | −0.52 | 0.4 | 87% |
| Matthew Mcdermaid | Washington College | 1.64 | 0.81 | 1–14 | 1.9 | −0.83 | 0.5 | 90% |
| Alexander Smith | Washington College | 1.08 | 0.25 | 1–14 | 1.9 | −0.83 | 0.5 | 90% |
| Hannah Schmidt | Washington College | 1.19 | 0.36 | 1–14 | 1.9 | −0.83 | 0.5 | 90% |
| Casey Brown | Webb Institute | 1.85 | 0.98 | 2–13 | 3.5 | −0.87 | 0.9 | 93% |
| James Morrissey | Webb Institute | 1.36 | 0.49 | 2–13 | 3.5 | −0.87 | 0.9 | 93% |
| Ryan Wood | U. S. Merchant Marine Academy | 0.68 | -0.91 | 1–2 | 2.1 | −1.59 | 1.3 | 98% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Colonials | Mariners | Red | Statesmen | Clippers | Shoremen | |
|---|---|---|---|---|---|---|---|---|
| George Washington University Colonials | 5–0 | ✕ | W | W | W | W | W | |
| U. S. Merchant Marine Academy Mariners | 3–2 | L | ✕ | L | W | W | W | |
| Cornell University Big Red | 4–1 | L | W | ✕ | W | W | W | |
| Hobart and William Smith Colleges Statesmen | 2–3 | L | L | L | ✕ | W | W | |
| Webb Institute Clippers | 1–4 | L | L | L | L | ✕ | W | |
| Washington College Shoremen | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Colonials | Mariners | Red | Statesmen | Clippers | Shoremen | |
|---|---|---|---|---|---|---|---|---|
| George Washington University Colonials | 4–1 | ✕ | L | W | W | W | W | |
| U. S. Merchant Marine Academy Mariners | 4–1 | W | ✕ | W | L | W | W | |
| Cornell University Big Red | 3–2 | L | L | ✕ | W | W | W | |
| Hobart and William Smith Colleges Statesmen | 3–2 | L | W | L | ✕ | W | W | |
| Webb Institute Clippers | 0–5 | L | L | L | L | ✕ | L | |
| Washington College Shoremen | 1–4 | L | L | L | L | W | ✕ |
| Team | Rec. | Colonials | Mariners | Red | Statesmen | Clippers | Shoremen | |
|---|---|---|---|---|---|---|---|---|
| George Washington University Colonials | 5–0 | ✕ | W | W | W | W | W | |
| U. S. Merchant Marine Academy Mariners | 3–2 | L | ✕ | W | L | W | W | |
| Cornell University Big Red | 3–2 | L | L | ✕ | W | W | W | |
| Hobart and William Smith Colleges Statesmen | 3–2 | L | W | L | ✕ | W | W | |
| Webb Institute Clippers | 1–4 | L | L | L | L | ✕ | W | |
| Washington College Shoremen | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Mariners | 2-3-4 | def. | Shoremen | 1-5-6 | ||
| 2 | Colonials | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 3 | Statesmen | 1-2-3 | def. | Clippers | 4-5-6 | ||
| 4 | Big Red | 2-3-4 | def. | Mariners | 1-5-6 | ||
| 5 | Statesmen | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 6 | Colonials | 1-2-5 | def. | Clippers | 3-4-6 | ||
| 7 | Big Red | 1-2-6 | def. | Statesmen | 3-4-5 | ||
| 8 | Colonials | 1-3-5 | def. | Mariners | 2-4-6 | ||
| 9 | Clippers | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 10 | Colonials | 1-2-4 | def. | Statesmen | 3-5-6 | ||
| 11 | Big Red | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 12 | Mariners | 1-2-4 | def. | Clippers | 3-5-6 | ||
| 13 | Colonials | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 14 | Mariners | 1-3-4 | def. | Statesmen | 2-5-6 | ||
| 15 | Big Red | 1-2-4 | def. | Clippers | 3-5-6 | ||
| 16 | Mariners | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 17 | Colonials | 1-2-4 | def. | Big Red | 3-5-6 | ||
| 18 | Statesmen | 1-2-4 | def. | Clippers | 3-5-6 | ||
| 19 | Mariners | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 20 | Statesmen | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 21 | Colonials | 1-2-3 | def. | Clippers | 4-5-6 | ||
| 22 | Big Red | 1-2-6 | def. | Statesmen | 3-4-5 | ||
| 23 | Mariners | 1-4-5 | def. | Colonials | 2-3-6 | ||
| 24 | Shoremen | 1-2-5 | def. | Clippers | 3-4-6 | ||
| 25 | Colonials | 1-2-5 | def. | Statesmen | 3-4-6 | ||
| 26 | Big Red | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 27 | Mariners | 2-3-4 | def. | Clippers | 1-5-6 | ||
| 28 | Colonials | 1-2-6 | def. | Shoremen | 3-4-5 | ||
| 29 | Statesmen | 1-2-5 | def. | Mariners | 3-4-6 | ||
| 30 | Big Red | 1-2-4 | def. | Clippers | 3-5-6 | ||
| 31 | Colonials | 2-3-6 | def. | Big Red | 1-4-5 DSQ | ||
| 32 | Clippers | 1-3-6 | def. | Shoremen | 2-4-5 | ||
| 33 | Statesmen | 1-2-4 | def. | Mariners | 3-5-6 | ||
| 34 | Big Red | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 35 | Colonials | 1-2-5 | def. | Statesmen | 3-4-6 | ||
| 36 | Mariners | 1-2-5 | def. | Clippers | 3-4-6 | ||
| 37 | Statesmen | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 38 | Big Red | 1-2-5 | def. | Clippers | 3-4-6 | ||
| 39 | Colonials | 1-2-3 | def. | Mariners | 4-5-6 | ||
| 40 | Statesmen | 1-2-3 | def. | Clippers | 4-5-6 | ||
| 41 | Colonials | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 42 | Mariners | 1-2-6 | def. | Big Red | 3-4-5 | ||
| 43 | Colonials | 2-3-4 | def. | Clippers | 1-5-6 | ||
| 44 | Big Red | 1-3-5 | def. | Statesmen | 2-4-6 | ||
| 45 | Mariners | 1-2-6 | def. | Shoremen | 3-4-5 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| George Washington University | Colonials | Brendan Shanahan '17 Kai Friesecke '18 Roger Dorr '18 |
Gabriella Malek '17 Matthew Homa '18 Shira Golub '18 |
|
| U. S. Merchant Marine Academy | Mariners | Andrew Bates '15 Charles Lomax '18 Max Neubelt '17 Ryan Wood '17 |
Clara Ashton '18 Patrick Scollard '17 Vincent Storino '18 |
|
| Cornell University | Big Red | Daniel Birmingham '17 Matthew Schofield '17 Thomas Balk '18 |
Noelle Crough '18 Lindsay Gimple '17 Ryan Buccellato '17 |
|
| Hobart and William Smith Colleges | Statesmen | Connor Swikart '18 Noah Barrengos Barrengos '18 Parker Trepton '18 William Fortenbaugh '18 |
Christine Moloney '17 Parker Trepton '18 Sarah Warren '18 Erica Oosterhoff '18 |
|
| Webb Institute | Clippers | Casey Brown '16 James Morrissey '17 Sean Walker '18 |
Ian Lawson '17 Kurt Gavel '16 Alex Dzinbal '17 |
|
| Washington College | Shoremen | Alexander Smith '17 Hannah Schmidt '17 Matthew Mcdermaid '17 |
Karlyn Long '17 Allison Cochran '18 Maura Matthews '18 Bridgette Hindt '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.