| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Cornell University | Big Red | 13–2 | |
| 2 | George Washington University | Colonials | 10–5 | |
| 3 | U. S. Naval Academy | Midshipmen | 10–5 | |
| 4 | Fordham University | Rams | 8–7 | |
| 5 | University of Pennsylvania | Quakers | 3–12 | |
| 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 7,725 team race matches sailed before 2017-03-18, using the line-ups that actually raced. It called 33 of 45 matches (73%) with a log-loss of 0.496 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness +0.24 ± 0.31: a typical event, more orderly than 70% 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) |
|---|---|---|---|---|---|---|---|---|
| 4 | Fordham University | 6.70 | 7.96 | 8–7 | 4.2 | +1.26 | 3.6 | 2% |
| 3 | U. S. Naval Academy | 7.88 | 8.45 | 10–5 | 8.3 | +0.57 | 0.7 | 25% |
| 1 | Cornell University | 9.08 | 9.47 | 13–2 | 12.3 | +0.39 | 0.2 | 47% |
| 2 | George Washington University | 8.42 | 8.32 | 10–5 | 10.3 | −0.10 | 0.0 | 69% |
| 5 | University of Pennsylvania | 7.08 | 6.12 | 3–12 | 5.5 | −0.96 | 1.6 | 96% |
| 6 | Washington College | 6.84 | 4.90 | 1–14 | 4.5 | −1.94 | 4.0 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Spencer Nora | U. S. Naval Academy | 1.68 | 2.89 | 8–1 | 6.3 | +1.22 | 1.3 | 20% |
| Maxwell Brill | U. S. Naval Academy | 2.75 | 3.32 | 10–5 | 8.3 | +0.57 | 0.7 | 25% |
| Alex Woloshyn | Cornell University | 2.83 | 3.21 | 13–2 | 12.3 | +0.39 | 0.2 | 47% |
| Connor Kelter | Cornell University | 3.12 | 3.50 | 13–2 | 12.3 | +0.39 | 0.2 | 47% |
| Clark Uhl | Cornell University | 2.86 | 3.25 | 13–2 | 12.3 | +0.39 | 0.2 | 47% |
| Colin Kennedy | George Washington University | 2.65 | 2.55 | 10–5 | 10.3 | −0.10 | 0.0 | 69% |
| William Gallagher | University of Pennsylvania | 1.90 | 0.94 | 3–12 | 5.5 | −0.96 | 1.6 | 96% |
| Caroline Garth | University of Pennsylvania | 1.58 | 0.62 | 3–12 | 5.5 | −0.96 | 1.6 | 96% |
| Alexander Smith | Washington College | 1.94 | 0.00 | 1–14 | 4.5 | −1.94 | 4.0 | >99% |
| Hannah Schmidt | Washington College | 2.00 | 0.06 | 1–14 | 4.5 | −1.94 | 4.0 | >99% |
| Matthew Mcdermaid | Washington College | 2.41 | 0.47 | 1–14 | 4.5 | −1.94 | 4.0 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Red | Colonials | Midshipmen | Rams | Quakers | Shoremen | |
|---|---|---|---|---|---|---|---|---|
| Cornell University Big Red | 5–0 | ✕ | W | W | W | W | W | |
| George Washington University Colonials | 4–1 | L | ✕ | W | W | W | W | |
| U. S. Naval Academy Midshipmen | 3–2 | L | L | ✕ | W | W | W | |
| Fordham University Rams | 2–3 | L | L | L | ✕ | W | W | |
| University of Pennsylvania Quakers | 1–4 | L | L | L | L | ✕ | W | |
| Washington College Shoremen | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Red | Colonials | Midshipmen | Rams | Quakers | Shoremen | |
|---|---|---|---|---|---|---|---|---|
| Cornell University Big Red | 5–0 | ✕ | W | W | W | W | W | |
| George Washington University Colonials | 2–3 | L | ✕ | L | L | W | W | |
| U. S. Naval Academy Midshipmen | 3–2 | L | W | ✕ | L | W | W | |
| Fordham University Rams | 4–1 | L | W | W | ✕ | W | W | |
| University of Pennsylvania Quakers | 0–5 | L | L | L | L | ✕ | L | |
| Washington College Shoremen | 1–4 | L | L | L | L | W | ✕ |
| Team | Rec. | Red | Colonials | Midshipmen | Rams | Quakers | Shoremen | |
|---|---|---|---|---|---|---|---|---|
| Cornell University Big Red | 3–2 | ✕ | L | L | W | W | W | |
| George Washington University Colonials | 4–1 | W | ✕ | W | L | W | W | |
| U. S. Naval Academy Midshipmen | 4–1 | W | L | ✕ | W | W | W | |
| Fordham University Rams | 2–3 | L | W | L | ✕ | L | W | |
| University of Pennsylvania Quakers | 2–3 | L | L | L | W | ✕ | W | |
| Washington College Shoremen | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Colonials | 1-2-5 | def. | Midshipmen | 3-4-6 | ||
| 2 | Rams | 1-2-3 | def. | Quakers | 4-5-6 DNF,DNF,DNF | ||
| 3 | Big Red | 1-3-4 | def. | Shoremen | 2-5-6 | ||
| 4 | Colonials | 1-2-3 | def. | Rams | 4-5-6 | ||
| 5 | Midshipmen | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 6 | Big Red | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 7 | Rams | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 8 | Colonials | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 9 | Big Red | 1-2-6 | def. | Midshipmen | 3-4-5 | ||
| 10 | Quakers | 1-2-6 | def. | Shoremen | 3-4-5 | ||
| 11 | Midshipmen | 1-3-5 | def. | Rams | 2-4-6 | ||
| 12 | Big Red | 1-2-3 | def. | Colonials | 4-5-6 | ||
| 13 | Midshipmen | 1-2-4 | def. | Quakers | 3-5-6 | ||
| 14 | Colonials | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 15 | Big Red | 1-2-4 | def. | Rams | 3-5-6 | ||
| 16 | Midshipmen | 1-3-4 | def. | Colonials | 2-5-6 | ||
| 17 | Rams | 1-2-4 | def. | Quakers | 3-5-6 | ||
| 18 | Big Red | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 19 | Rams | 1-2-6 | def. | Colonials | 3-4-5 | ||
| 20 | Midshipmen | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 21 | Big Red | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 22 | Rams | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 23 | Colonials | 2-3-4 | def. | Quakers | 1-5-6 | ||
| 24 | Big Red | 2-3-4 | def. | Midshipmen | 1-5-6 | ||
| 25 | Shoremen | 2-3-5 | def. | Quakers | 1-4-6 | ||
| 26 | Rams | 1-2-3 | def. | Midshipmen | 4-5-6 | ||
| 27 | Big Red | 1-4-5 | def. | Colonials | 2-3-6 | ||
| 28 | Midshipmen | 2-3-4 | def. | Quakers | 1-5-6 | ||
| 29 | Colonials | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 30 | Big Red | 1-3-6 | def. | Rams | 2-4-5 | ||
| 31 | Colonials | 1-2-5 | def. | Midshipmen | 3-4-6 | ||
| 32 | Quakers | 1-2-5 | def. | Rams | 3-4-6 | ||
| 33 | Big Red | 1-3-5 | def. | Shoremen | 2-4-6 | ||
| 34 | Rams | 2-3-6 | def. | Colonials | 1-4-5 DSQ | ||
| 35 | Midshipmen | 1-2-6 | def. | Shoremen | 3-4-5 | ||
| 36 | Big Red | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 37 | Rams | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 38 | Colonials | 1-2-4 | def. | Quakers | 3-5-6 | ||
| 39 | Midshipmen | 1-2-6 | def. | Big Red | 3-4-5 | ||
| 40 | Quakers | 1-2-6 | def. | Shoremen | 3-4-5 | ||
| 41 | Midshipmen | 2-3-4 | def. | Rams | 1-5-6 | ||
| 42 | Colonials | 1-3-5 | def. | Big Red | 2-4-6 | ||
| 43 | Midshipmen | 2-3-4 | def. | Quakers | 1-5-6 | ||
| 44 | Colonials | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 45 | Big Red | 1-2-4 | def. | Rams | 3-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Cornell University | Big Red | Alex Woloshyn '17 Clark Uhl '19 Connor Kelter '18 |
Lindsay Gimple '17 Diana Otis '19 Julie Barbera '17 |
|
| George Washington University | Colonials | Colin Kennedy '17 Rhodes Garner '20 Wade Wagner '19 |
Mercedes Mcphee '19 Gabriella Marki '17 Gabriella Malek '17 |
|
| U. S. Naval Academy | Midshipmen | Maxwell Brill '20 Parker Loftus '20 Spencer Nora '17 Tyler Fleig '19 |
Hannah Hughes '17 Kent Mathes '20 Karma Richards '20 Emma Remis '20 |
|
| Fordham University | Rams | Brad Seferian '19 Grace Howie '20 Tucker Hersam '20 |
Emma Archard '18 Cortney Rielly '20 William Dumke '20 |
|
| University of Pennsylvania | Quakers | Caroline Garth '17 Nicholas Floyd '19 William Gallagher '20 |
Max Slosburg '19 Laura Whelan '20 Daniel Pfeffer '19 |
|
| Washington College | Shoremen | Alexander Smith '17 Hannah Schmidt '17 Matthew Mcdermaid '17 |
Allison Cochran '18 Griffin Rodrigue '18 Lindsey Arnstein '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 ±0.05 means a rating gap counts about 4% 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.