| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Bowdoin College | Polar Bears | 13–2 | |
| 2 | Fordham University | Rams | 10–5 | |
| 2 | Washington College | Shoremen | 10–5 | |
| 4 | Cornell University | Big Red | 7–8 | |
| 5 | SUNY Maritime College | Privateers | 4–11 | |
| 6 | University of Pennsylvania | Quakers | 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 530 team race matches sailed before 2013-03-09, using the line-ups that actually raced. It called 33 of 45 matches (73%) with a log-loss of 0.576 (a coin flip scores 0.693), so the event went about as expected 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.
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 | Fordham University | 6.34 | 7.64 | 10–5 | 6.1 | +1.30 | 3.7 | 2% |
| 2 | Washington College | 7.55 | 7.87 | 10–5 | 9.3 | +0.32 | 0.2 | 44% |
| 4 | Cornell University | 6.19 | 6.19 | 7–8 | 7.0 | +0.00 | 0.0 | 63% |
| 1 | Bowdoin College | 8.91 | 8.88 | 13–2 | 13.0 | −0.02 | 0.0 | 69% |
| 5 | SUNY Maritime College | 5.86 | 5.60 | 4–11 | 4.7 | −0.26 | 0.1 | 76% |
| 6 | University of Pennsylvania | 5.52 | 3.07 | 1–14 | 5.0 | −2.45 | 5.9 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Bears | Rams | Shoremen | Red | Privateers | Quakers | |
|---|---|---|---|---|---|---|---|---|
| Bowdoin College Polar Bears | 4–1 | ✕ | L | W | W | W | W | |
| Fordham University Rams | 4–1 | W | ✕ | L | W | W | W | |
| Washington College Shoremen | 3–2 | L | W | ✕ | L | W | W | |
| Cornell University Big Red | 3–2 | L | L | W | ✕ | W | W | |
| SUNY Maritime College Privateers | 1–4 | L | L | L | L | ✕ | W | |
| University of Pennsylvania Quakers | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Bears | Rams | Shoremen | Red | Privateers | Quakers | |
|---|---|---|---|---|---|---|---|---|
| Bowdoin College Polar Bears | 4–1 | ✕ | W | L | W | W | W | |
| Fordham University Rams | 2–3 | L | ✕ | L | W | W | L | |
| Washington College Shoremen | 4–1 | W | W | ✕ | L | W | W | |
| Cornell University Big Red | 2–3 | L | L | W | ✕ | L | W | |
| SUNY Maritime College Privateers | 2–3 | L | L | L | W | ✕ | W | |
| University of Pennsylvania Quakers | 1–4 | L | W | L | L | L | ✕ |
| Team | Rec. | Bears | Rams | Shoremen | Red | Privateers | Quakers | |
|---|---|---|---|---|---|---|---|---|
| Bowdoin College Polar Bears | 5–0 | ✕ | W | W | W | W | W | |
| Fordham University Rams | 4–1 | L | ✕ | W | W | W | W | |
| Washington College Shoremen | 3–2 | L | L | ✕ | W | W | W | |
| Cornell University Big Red | 2–3 | L | L | L | ✕ | W | W | |
| SUNY Maritime College Privateers | 1–4 | L | L | L | L | ✕ | W | |
| University of Pennsylvania Quakers | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Rams | 1-2-5 | def. | Privateers | 3-4-6 | ||
| 2 | Polar Bears | 1-3-5 | def. | Big Red | 2-4-6 | ||
| 3 | Shoremen | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 4 | Rams | 1-2-6 | def. | Polar Bears | 3-4-5 | ||
| 5 | Big Red | 1-5-6 | def. | Shoremen | 2-3-4 DNF,DNF | ||
| 6 | Privateers | 2-3-4 | def. | Quakers | 1-5-6 | ||
| 7 | Rams | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 8 | Polar Bears | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 9 | Rams | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 10 | Polar Bears | 1-3-5 | def. | Privateers | 2-4-6 | ||
| 11 | Shoremen | 1-2-4 | def. | Rams | 3-5-6 | ||
| 12 | Big Red | 1-2-3 | def. | Privateers | 4-5-6 | ||
| 13 | Polar Bears | 1-2-4 | def. | Quakers | 3-5-6 | ||
| 14 | Shoremen | 2-3-4 | def. | Privateers | 1-5-6 | ||
| 15 | Big Red | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 16 | Rams | 1-2-3 | def. | Privateers | 4-5-6 | ||
| 17 | Polar Bears | 1-3-6 | def. | Big Red | 2-4-5 | ||
| 18 | Shoremen | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 19 | Polar Bears | 1-3-4 | def. | Rams | 2-5-6 | ||
| 20 | Big Red | 3-4-5 | def. | Shoremen | 1-2-6 DNF | ||
| 21 | Privateers | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 22 | Rams | 1-2-4 | def. | Big Red | 3-5-6 | ||
| 23 | Shoremen | 1-2-5 | def. | Polar Bears | 3-4-6 | ||
| 24 | Quakers | 1-2-6 | def. | Rams | 3-4-5 | ||
| 25 | Polar Bears | 1-4-5 | def. | Privateers | 2-3-6 | ||
| 26 | Shoremen | 2-3-4 | def. | Rams | 1-5-6 | ||
| 27 | Privateers | 1-2-4 | def. | Big Red | 3-5-6 | ||
| 28 | Polar Bears | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 29 | Shoremen | 1-3-5 | def. | Privateers | 2-4-6 | ||
| 30 | Big Red | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 31 | Rams | 1-3-4 | def. | Privateers | 2-5-6 | ||
| 32 | Polar Bears | 1-2-4 | def. | Big Red | 3-5-6 | ||
| 33 | Shoremen | 1-2-4 | def. | Quakers | 3-5-6 | ||
| 34 | Polar Bears | 1-2-3 | def. | Rams | 4-5-6 | ||
| 35 | Shoremen | 1-3-5 | def. | Big Red | 2-4-6 | ||
| 36 | Privateers | 1-3-5 | def. | Quakers | 2-4-6 | ||
| 37 | Rams | 1-2-3 | def. | Big Red | 4-5-6 | ||
| 38 | Polar Bears | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 39 | Rams | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 40 | Polar Bears | 1-2-3 | def. | Privateers | 4-5-6 | ||
| 41 | Rams | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 42 | Big Red | 1-3-6 | def. | Privateers | 2-4-5 | ||
| 43 | Polar Bears | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 44 | Shoremen | 1-2-5 | def. | Privateers | 3-4-6 | ||
| 45 | Big Red | 1-2-3 | def. | Quakers | 4-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Bowdoin College | Polar Bears | Kaylee Schwitzer '15 Michael Croteau '15 Tom Peabody '14 |
Mae Speight '13 Charlotte Williamson '15 Ayaka Okawa '14 |
|
| Fordham University | Rams | Adam Keally '15 Connor Godfrey '16 Emma Pfohman '13 Mary Cervin '15 Olin Paine '16 Samuel Peirson '16 |
Emma Pfohman '13 Dan Canziani '14 Mary Cervin '15 |
|
| Washington College | Shoremen | Eric Siegel '16 Sam Fitzgerald '14 Samuel Bedinger '13 |
Matt Lawler '13 Blair Towers '15 Alexandra Crawford '16 |
|
| Cornell University | Big Red | Alden Sonnenfeldt '13 Duncan Howes '15 Michael Rivlin '13 |
Erin Ahlers '13 Devon Furlong '13 Juliet Levine '14 |
|
| SUNY Maritime College | Privateers | Julia Paxton '14 Paige Conlin '14 Scott Lubliner '13 |
Lauren Albano '16 Jonathan O'Connell '15 Andrew Haggerty '14 |
|
| University of Pennsylvania | Quakers | Jack Swikart '15 Michael Russom '13 Roger Garcia Valls '13 |
Monica Wojciechowski '16 Tyler Altenhofen '16 Jose -Maria Barrero '13 |
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 2% 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.