| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | St. Mary's College of Maryland | Seahawks | 14–2 | |
| 2 | Georgetown University | Hoyas | 13–3 | |
| 3 | Old Dominion University | Monarchs | 7–9 | |
| 4 | University of Virginia | Wahoos | 4–12 | |
| 5 | Hampton University | Pirates | 2–14 |
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 6,654 team race matches sailed before 2016-03-26, using the line-ups that actually raced. It called 33 of 40 matches (82%) with a log-loss of 0.395 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness −0.16 ± 0.27: a typical event, more orderly than 26% 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.
| Place | School | Pred. | Strength | Boats (skipper / crew, boat value) | Pred. win % | Record | vs forecast |
|---|---|---|---|---|---|---|---|
| 1 | St. Mary's College of Maryland Seahawks | 2 | 9.36 school +0.65 | Jonathan Lutz / Elizabeth Dennison 3.02 Liam Mccarthy / Kaisey Mccallion Carolyn Smith / Kate Bjerregaard 2.76 | 69% | 14–2 (88%) | +2.9 |
| 2 | Georgetown University Hoyas | 1 | 10.73 | Andy Reiter / Hollis Dana 3.43 Roger Dorr / Maggie Kelly 3.42 Campbell D'Eliscu / Mary Kate Mezzetti 3.81 | 92% | 13–3 (81%) | −1.7 |
| 3 | Old Dominion University Monarchs | 3 | 8.62 school −0.29 | Jeremy Herrin / Abigail Lockler 3.02 Jack Elkin / Stephen Guglielmo 3.19 Alec Chicoine / Dane Pedersen 2.58 | 55% | 7–9 (44%) | −1.8 |
| 4 | University of Virginia Wahoos | 4 | 6.98 school −0.12 | Christopher Craven / Callie Hern 2.39 Alexander Singh / Eliza Schuett Colin Suvak / Waverlee Harvey | 26% | 4–12 (25%) | −0.2 |
| 5 | Hampton University Pirates | 5 | 5.77 school −0.14 | Maximilian Kuester / Giuditta Di Laghi 3.03 Luca Taglialegne / Elisabeth Kuester Jela-Ni Mccarthy / Miles Braden 0.23 | 8% | 2–14 (12%) | +0.7 |
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 | St. Mary's College of Maryland | 9.36 | 11.15 | 14–2 | 11.1 | +1.79 | 3.6 | 3% |
| 5 | Hampton University | 5.77 | 6.33 | 2–14 | 1.3 | +0.56 | 0.3 | 38% |
| 4 | University of Virginia | 6.98 | 6.89 | 4–12 | 4.2 | −0.09 | 0.0 | 69% |
| 3 | Old Dominion University | 8.62 | 7.71 | 7–9 | 8.8 | −0.91 | 1.2 | 95% |
| 2 | Georgetown University | 10.73 | 9.68 | 13–3 | 14.7 | −1.05 | 1.4 | 97% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Carolyn Smith | St. Mary's College of Maryland | 2.76 | 4.55 | 14–2 | 11.1 | +1.79 | 3.6 | 3% |
| Maximilian Kuester | Hampton University | 3.03 | 3.58 | 2–14 | 1.3 | +0.56 | 0.3 | 38% |
| Luca Taglialegne | Hampton University | 2.26 | 2.82 | 2–14 | 1.3 | +0.56 | 0.3 | 38% |
| Jela-Ni Mccarthy | Hampton University | 0.23 | 0.79 | 2–14 | 1.3 | +0.56 | 0.3 | 38% |
| Christopher Craven | University of Virginia | 2.39 | 2.30 | 4–12 | 4.2 | −0.09 | 0.0 | 69% |
| Alexander Singh | University of Virginia | 2.28 | 2.19 | 4–12 | 4.2 | −0.09 | 0.0 | 69% |
| Colin Suvak | University of Virginia | 1.94 | 1.85 | 4–12 | 4.2 | −0.09 | 0.0 | 69% |
| Jeremy Herrin | Old Dominion University | 3.02 | 2.11 | 7–9 | 8.8 | −0.91 | 1.2 | 95% |
| Alec Chicoine | Old Dominion University | 2.58 | 1.67 | 7–9 | 8.8 | −0.91 | 1.2 | 95% |
| Andy Reiter | Georgetown University | 3.43 | 2.38 | 13–3 | 14.7 | −1.05 | 1.4 | 97% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Seahawks | Hoyas | Monarchs | Wahoos | Pirates | |
|---|---|---|---|---|---|---|---|
| St. Mary's College of Maryland Seahawks | 3–1 | ✕ | L | W | W | W | |
| Georgetown University Hoyas | 4–0 | W | ✕ | W | W | W | |
| Old Dominion University Monarchs | 2–2 | L | L | ✕ | W | W | |
| University of Virginia Wahoos | 1–3 | L | L | L | ✕ | W | |
| Hampton University Pirates | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Seahawks | Hoyas | Monarchs | Wahoos | Pirates | |
|---|---|---|---|---|---|---|---|
| St. Mary's College of Maryland Seahawks | 3–1 | ✕ | L | W | W | W | |
| Georgetown University Hoyas | 3–1 | W | ✕ | L | W | W | |
| Old Dominion University Monarchs | 2–2 | L | W | ✕ | L | W | |
| University of Virginia Wahoos | 2–2 | L | L | W | ✕ | W | |
| Hampton University Pirates | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Seahawks | Hoyas | Monarchs | Wahoos | Pirates | |
|---|---|---|---|---|---|---|---|
| St. Mary's College of Maryland Seahawks | 4–0 | ✕ | W | W | W | W | |
| Georgetown University Hoyas | 3–1 | L | ✕ | W | W | W | |
| Old Dominion University Monarchs | 1–3 | L | L | ✕ | L | W | |
| University of Virginia Wahoos | 1–3 | L | L | W | ✕ | L | |
| Hampton University Pirates | 1–3 | L | L | L | W | ✕ |
| Team | Rec. | Seahawks | Hoyas | Monarchs | Wahoos | Pirates | |
|---|---|---|---|---|---|---|---|
| St. Mary's College of Maryland Seahawks | 4–0 | ✕ | W | W | W | W | |
| Georgetown University Hoyas | 3–1 | L | ✕ | W | W | W | |
| Old Dominion University Monarchs | 2–2 | L | L | ✕ | W | W | |
| University of Virginia Wahoos | 0–4 | L | L | L | ✕ | L | |
| Hampton University Pirates | 1–3 | L | L | L | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Monarchs | 2-3-4 | def. | Pirates | 1-5-6 | ||
| 2 | Hoyas | 1-2-5 | def. | Seahawks | 3-4-6 | ||
| 3 | Wahoos | 1-2-6 | def. | Pirates | 3-4-5 | ||
| 4 | Hoyas | 1-2-6 | def. | Monarchs | 3-4-5 | ||
| 5 | Seahawks | 2-3-4 | def. | Wahoos | 1-5-6 | ||
| 6 | Hoyas | 1-2-5 | def. | Pirates | 3-4-6 | ||
| 7 | Seahawks | 1-3-5 | def. | Monarchs | 2-4-6 | ||
| 8 | Hoyas | 1-2-3 | def. | Wahoos | 4-5-6 | ||
| 9 | Seahawks | 1-2-4 | def. | Pirates | 3-5-6 | ||
| 10 | Monarchs | 1-2-5 | def. | Wahoos | 3-4-6 | ||
| 11 | Hoyas | 1-2-3 | def. | Pirates | 4-5-6 | ||
| 12 | Wahoos | 1-2-6 | def. | Monarchs | 3-4-5 | ||
| 13 | Hoyas | 1-2-5 | def. | Seahawks | 3-4-6 | ||
| 14 | Wahoos | 1-2-6 | def. | Pirates | 3-4-5 | ||
| 15 | Seahawks | 2-3-5 | def. | Monarchs | 1-4-6 | ||
| 16 | Hoyas | 1-2-5 | def. | Wahoos | 3-4-6 | ||
| 17 | Monarchs | 1-3-4 | def. | Pirates | 2-5-6 | ||
| 18 | Seahawks | 1-2-5 | def. | Wahoos | 3-4-6 | ||
| 19 | Monarchs | 2-3-5 | def. | Hoyas | 1-4-6 | ||
| 20 | Seahawks | 1-2-4 | def. | Pirates | 3-5-6 | ||
| 21 | Hoyas | 1-3-4 | def. | Wahoos | 2-5-6 | ||
| 22 | Seahawks | 1-2-3 | def. | Pirates | 4-5-6 | ||
| 23 | Wahoos | 1-3-5 | def. | Monarchs | 2-4-6 | ||
| 24 | Seahawks | 3-4-5 | def. | Hoyas | 1-2-6 DSQ,DSQ | ||
| 25 | Monarchs | 2-3-5 | def. | Pirates | 1-4-6 | ||
| 26 | Seahawks | 1-3-6 | def. | Wahoos | 2-4-5 | ||
| 27 | Hoyas | 1-2-3 | def. | Pirates | 4-5-6 | ||
| 28 | Seahawks | 1-3-6 | def. | Monarchs | 2-4-5 | ||
| 29 | Pirates | 1-3-6 | def. | Wahoos | 2-4-5 | ||
| 30 | Hoyas | 1-2-5 | def. | Monarchs | 3-4-6 | ||
| 31 | Seahawks | 1-2-4 | def. | Wahoos | 3-5-6 | ||
| 32 | Hoyas | 1-3-6 | def. | Monarchs | 2-4-5 | ||
| 33 | Seahawks | 2-3-4 | def. | Pirates | 1-5-6 | ||
| 34 | Monarchs | 1-3-5 | def. | Wahoos | 2-4-6 | ||
| 35 | Hoyas | 2-3-4 | def. | Pirates | 1-5-6 | ||
| 36 | Seahawks | 1-2-4 | def. | Monarchs | 3-5-6 | ||
| 37 | Hoyas | 1-2-6 | def. | Wahoos | 3-4-5 | ||
| 38 | Monarchs | 2-3-4 | def. | Pirates | 1-5-6 | ||
| 39 | Seahawks | 1-2-5 | def. | Hoyas | 3-4-6 | ||
| 40 | Pirates | 2-3-5 | def. | Wahoos | 1-4-6 DNF | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| St. Mary's College of Maryland | Seahawks | Carolyn Smith '17 Jonathan Lutz '17 Liam Mccarthy '19 |
Kate Bjerregaard '19 Elizabeth Dennison '17 Kaisey Mccallion '18 |
|
| Georgetown University | Hoyas | Andy Reiter '19 Campbell D'Eliscu '19 Roger Dorr '18 |
Hollis Dana '16 Mary Kate Mezzetti '16 Maggie Kelly '17 |
|
| Old Dominion University | Monarchs | Alec Chicoine '18 Jack Elkin '19 Jeremy Herrin '18 |
Dane Pedersen '19 Stephen Guglielmo '19 Abigail Lockler '18 |
|
| University of Virginia | Wahoos | Alexander Singh '19 Christopher Craven '16 Colin Suvak '19 |
Eliza Schuett '17 Callie Hern '18 Waverlee Harvey '18 |
|
| Hampton University | Pirates | Jela-Ni Mccarthy '16 Luca Taglialegne '20 Maximilian Kuester '18 |
Miles Braden '17 Elisabeth Kuester '20 Giuditta Di Laghi '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 ±0.06 means a rating gap counts about 5% 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.