| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | University of South Florida | Bulls | 20–5 | |
| 2 | Eckerd College | Tritons | 19–6 | |
| 3 | Jacksonville University | Fins | 16–9 | |
| 4 | Cornell University | Big Red | 14–11 | |
| 5 | Salve Regina University | Seahawks | 4–21 | |
| 6 | University of Miami | Hurricanes | 2–23 |
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 7,359 team race matches sailed before 2017-02-25, using the line-ups that actually raced. It called 51 of 60 matches (85%) with a log-loss of 0.369 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.03 ± 0.24: a typical event, more orderly than 45% 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) |
|---|---|---|---|---|---|---|---|---|
| 2 | Eckerd College | 8.70 | 9.69 | 19–6 | 15.0 | +0.99 | 2.8 | 4% |
| 1 | University of South Florida | 9.51 | 10.01 | 17–3 | 15.8 | +0.49 | 0.4 | 35% |
| 6 | University of Miami | 5.27 | 5.59 | 2–23 | 1.5 | +0.32 | 0.1 | 47% |
| 5 | Salve Regina University | 6.58 | 6.00 | 4–16 | 5.0 | −0.59 | 0.4 | 88% |
| 3 | Jacksonville University | 8.70 | 7.73 | 6–4 | 7.4 | −0.97 | 0.9 | 94% |
| 4 | Cornell University | 9.36 | 8.26 | 12–8 | 15.2 | −1.11 | 2.6 | 99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Jason D'Agostino | Eckerd College | 2.84 | 3.83 | 19–6 | 15.0 | +0.99 | 2.8 | 4% |
| Andrew Schoene | Eckerd College | 2.75 | 3.74 | 19–6 | 15.0 | +0.99 | 2.8 | 4% |
| Karl Rasmus Sayre | Eckerd College | 2.68 | 3.67 | 19–6 | 15.0 | +0.99 | 2.8 | 4% |
| Sean Cornell | University of South Florida | 3.80 | 4.29 | 17–3 | 15.8 | +0.49 | 0.4 | 35% |
| Brendan Feeney | University of South Florida | 2.66 | 3.15 | 17–3 | 15.8 | +0.49 | 0.4 | 35% |
| Michael Trebilcock | University of South Florida | 2.70 | 3.19 | 17–3 | 15.8 | +0.49 | 0.4 | 35% |
| Sean Beaulieu | Salve Regina University | 2.42 | 1.83 | 4–16 | 5.0 | −0.59 | 0.4 | 88% |
| Sam Shannon | Salve Regina University | 2.45 | 1.86 | 4–16 | 5.0 | −0.59 | 0.4 | 88% |
| Jennifer Killian | Salve Regina University | 1.64 | 1.06 | 4–16 | 5.0 | −0.59 | 0.4 | 88% |
| Daniel Lawless | Jacksonville University | 2.81 | 1.84 | 6–4 | 7.4 | −0.97 | 0.9 | 94% |
| Stephan Verhulst | Jacksonville University | 2.93 | 1.96 | 6–4 | 7.4 | −0.97 | 0.9 | 94% |
| Clark Uhl | Cornell University | 3.08 | 1.97 | 12–8 | 15.2 | −1.11 | 2.6 | 99% |
| Alex Woloshyn | Cornell University | 2.87 | 1.76 | 12–8 | 15.2 | −1.11 | 2.6 | 99% |
| Connor Kelter | Cornell University | 3.15 | 2.05 | 12–8 | 15.2 | −1.11 | 2.6 | 99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Bulls | Tritons | Fins | Red | Seahawks | Hurricanes | |
|---|---|---|---|---|---|---|---|---|
| University of South Florida Bulls | 4–1 | ✕ | L | W | W | W | W | |
| Eckerd College Tritons | 4–1 | W | ✕ | L | W | W | W | |
| Jacksonville University Fins | 3–2 | L | W | ✕ | L | W | W | |
| Cornell University Big Red | 3–2 | L | L | W | ✕ | W | W | |
| Salve Regina University Seahawks | 1–4 | L | L | L | L | ✕ | W | |
| University of Miami Hurricanes | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Bulls | Tritons | Fins | Red | Seahawks | Hurricanes | |
|---|---|---|---|---|---|---|---|---|
| University of South Florida Bulls | 4–1 | ✕ | W | L | W | W | W | |
| Eckerd College Tritons | 3–2 | L | ✕ | W | L | W | W | |
| Jacksonville University Fins | 4–1 | W | L | ✕ | W | W | W | |
| Cornell University Big Red | 3–2 | L | W | L | ✕ | W | W | |
| Salve Regina University Seahawks | 0–5 | L | L | L | L | ✕ | L | |
| University of Miami Hurricanes | 1–4 | L | L | L | L | W | ✕ |
| Team | Rec. | Bulls | Tritons | Fins | Red | Seahawks | Hurricanes | |
|---|---|---|---|---|---|---|---|---|
| University of South Florida Bulls | 5–0 | ✕ | W | W | W | W | W | |
| Eckerd College Tritons | 3–2 | L | ✕ | W | L | W | W | |
| Jacksonville University Fins | 3–2 | L | L | ✕ | W | W | W | |
| Cornell University Big Red | 3–2 | L | W | L | ✕ | W | W | |
| Salve Regina University Seahawks | 1–4 | L | L | L | L | ✕ | W | |
| University of Miami Hurricanes | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Bulls | Tritons | Fins | Red | Seahawks | Hurricanes | |
|---|---|---|---|---|---|---|---|---|
| University of South Florida Bulls | 2–3 | ✕ | L | L | L | W | W | |
| Eckerd College Tritons | 5–0 | W | ✕ | W | W | W | W | |
| Jacksonville University Fins | 4–1 | W | L | ✕ | W | W | W | |
| Cornell University Big Red | 2–3 | W | L | L | ✕ | L | W | |
| Salve Regina University Seahawks | 2–3 | L | L | L | W | ✕ | W | |
| University of Miami Hurricanes | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Bulls | Tritons | Fins | Red | Seahawks | Hurricanes | |
|---|---|---|---|---|---|---|---|---|
| University of South Florida Bulls | 5–0 | ✕ | W | W | W | W | W | |
| Eckerd College Tritons | 4–1 | L | ✕ | W | W | W | W | |
| Jacksonville University Fins | 2–3 | L | L | ✕ | L | W | W | |
| Cornell University Big Red | 3–2 | L | L | W | ✕ | W | W | |
| Salve Regina University Seahawks | 0–5 | L | L | L | L | ✕ | L | |
| University of Miami Hurricanes | 1–4 | L | L | L | L | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Fins | 1-2-5 | def. | Hurricanes | 3-4-6 | ||
| 2 | Tritons | 1-3-5 | def. | Seahawks | 2-4-6 | ||
| 3 | Bulls | 2-3-4 | def. | Big Red | 1-5-6 | ||
| 4 | Fins | 1-2-3 | def. | Tritons | 4-5-6 | ||
| 5 | Bulls | 1-2-4 | def. | Hurricanes | 3-5-6 | ||
| 6 | Big Red | 1-2-5 | def. | Seahawks | 3-4-6 | ||
| 7 | Tritons | 1-2-5 | def. | Bulls | 3-4-6 | ||
| 8 | Fins | 1-2-4 | def. | Seahawks | 3-5-6 | ||
| 9 | Big Red | 1-2-6 | def. | Hurricanes | 3-4-5 | ||
| 10 | Bulls | 1-2-5 | def. | Seahawks | 3-4-6 | ||
| 11 | Tritons | 1-2-5 | def. | Hurricanes | 3-4-6 | ||
| 12 | Big Red | 1-2-5 | def. | Fins | 3-4-6 | ||
| 13 | Seahawks | 1-3-5 | def. | Hurricanes | 2-4-6 | ||
| 14 | Bulls | 1-2-6 | def. | Fins | 3-4-5 | ||
| 15 | Tritons | 2-3-4 | def. | Big Red | 1-5-6 | ||
| 16 | Hurricanes | 1-2-6 | def. | Seahawks | 3-4-5 | ||
| 17 | Fins | 2-3-5 | def. | Bulls | 1-4-6 | ||
| 18 | Big Red | 1-2-6 | def. | Tritons | 3-4-5 | ||
| 19 | Fins | 1-2-5 | def. | Hurricanes | 3-4-6 | ||
| 20 | Big Red | 1-2-4 | def. | Seahawks | 3-5-6 | ||
| 21 | Bulls | 1-2-5 | def. | Tritons | 3-4-6 | ||
| 22 | Fins | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 23 | Bulls | 1-2-5 | def. | Hurricanes | 3-4-6 | ||
| 24 | Tritons | 1-2-5 | def. | Seahawks | 3-4-6 | ||
| 25 | Bulls | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 26 | Fins | 1-2-6 | def. | Seahawks | 3-4-5 | ||
| 27 | Tritons | 1-2-4 | def. | Hurricanes | 3-5-6 | ||
| 28 | Bulls | 1-2-5 | def. | Seahawks | 3-4-6 | ||
| 29 | Big Red | 1-2-4 | def. | Hurricanes | 3-5-6 | ||
| 30 | Tritons | 1-2-6 | def. | Fins | 3-4-5 | ||
| 31 | Bulls | 1-2-3 | def. | Seahawks | 4-5-6 | ||
| 32 | Big Red | 1-2-3 | def. | Hurricanes | 4-5-6 | ||
| 33 | Tritons | 1-3-5 | def. | Fins | 2-4-6 | ||
| 34 | Seahawks | 1-3-6 | def. | Hurricanes | 2-4-5 | ||
| 35 | Bulls | 1-3-6 | def. | Tritons | 2-4-5 | ||
| 36 | Fins | 2-3-4 | def. | Big Red | 1-5-6 | ||
| 37 | Tritons | 1-2-3 | def. | Hurricanes | 4-5-6 | ||
| 38 | Big Red | 1-2-5 | def. | Seahawks | 3-4-6 | ||
| 39 | Bulls | 1-2-5 | def. | Fins | 3-4-6 | ||
| 40 | Big Red | 1-2-4 | def. | Tritons | 3-5-6 | ||
| 41 | Bulls | 1-2-5 | def. | Hurricanes | 3-4-6 | ||
| 42 | Fins | 1-2-6 | def. | Seahawks | 3-4-5 | ||
| 43 | Bulls | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 44 | Tritons | 1-2-3 | def. | Seahawks | 4-5-6 | ||
| 45 | Fins | 1-2-4 | def. | Hurricanes | 3-5-6 | ||
| 46 | Big Red | 1-2-4 | def. | Bulls | 3-5-6 | ||
| 47 | Tritons | 2-3-4 | def. | Seahawks | 1-5-6 | ||
| 48 | Fins | 2-3-4 | def. | Hurricanes | 1-5-6 | ||
| 49 | Bulls | 2-3-4 | def. | Seahawks | 1-5-6 | ||
| 50 | Fins | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 51 | Tritons | 1-2-4 | def. | Hurricanes | 3-5-6 | ||
| 52 | Fins | 1-2-6 | def. | Seahawks | 3-4-5 | ||
| 53 | Tritons | 1-2-5 | def. | Bulls | 3-4-6 | ||
| 54 | Big Red | 1-2-4 | def. | Hurricanes | 3-5-6 | ||
| 55 | Tritons | 1-3-4 | def. | Fins | 2-5-6 | ||
| 56 | Seahawks | 2-3-5 | def. | Big Red | 1-4-6 | ||
| 57 | Bulls | 1-2-4 | def. | Hurricanes | 3-5-6 | ||
| 58 | Tritons | 2-3-4 | def. | Big Red | 1-5-6 | ||
| 59 | Fins | 2-3-4 | def. | Bulls | 1-5-6 | ||
| 60 | Seahawks | 1-4-5 | def. | Hurricanes | 2-3-6 | ||
| 61 | Tritons | 1-4-5 | def. | Big Red | 2-3-6 | ||
| 62 | Bulls | 1-2-5 | def. | Fins | 3-4-6 | ||
| 63 | Hurricanes | 1-3-6 | def. | Seahawks | 2-4-5 | ||
| 64 | Bulls | 1-2-5 | def. | Big Red | 3-4-6 | ||
| 65 | Tritons | 1-2-5 | def. | Hurricanes | 3-4-6 | ||
| 66 | Fins | 1-2-6 | def. | Seahawks | 3-4-5 | ||
| 67 | Bulls | 1-2-5 | def. | Hurricanes | 3-4-6 | ||
| 68 | Big Red | 1-3-5 | def. | Fins | 2-4-6 | ||
| 69 | Tritons | 1-2-4 | def. | Seahawks | 3-5-6 | ||
| 70 | Fins | 2-3-4 | def. | Hurricanes | 1-5-6 | ||
| 71 | Bulls | 1-3-6 | def. | Tritons | 2-4-5 | ||
| 72 | Big Red | 1-2-3 | def. | Seahawks | 4-5-6 | ||
| 73 | Tritons | 1-2-5 | def. | Fins | 3-4-6 | ||
| 74 | Big Red | 1-2-3 | def. | Hurricanes | 4-5-6 | ||
| 75 | Bulls | 1-2-6 | def. | Seahawks | 3-4-5 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| University of South Florida | Bulls | Brendan Feeney '18 Michael Trebilcock '17 Sean Cornell '18 |
Darby Capellin '19 Lizette Arnold '17 Kristen Walker '17 |
|
| Eckerd College | Tritons | Andrew Schoene '18 Jason D'Agostino '17 Karl Rasmus Sayre '19 |
Kim Kusminsky '19 Sabine Zinserling '20 Delphine Carroll '19 |
|
| Jacksonville University | Fins | Daniel Lawless '17 Ethan Lounsbury '17 Stephan Verhulst '19 |
Hannah Knighton '17 Anna Palmer '17 Kelsy Waack '18 |
|
| Cornell University | Big Red | Alex Woloshyn '17 Clark Uhl '19 Connor Kelter '18 |
Lindsay Gimple '17 Tara Bergstrom '18 Julie Barbera '17 |
|
| Salve Regina University | Seahawks | Jennifer Killian '19 Sam Shannon '19 Sean Beaulieu '18 |
Madeline Lark '20 Stephanie Clancy '17 Jennifer Ryan '19 |
|
| University of Miami | Hurricanes | Kyle Magno '18 Max Thompson '19 Remi Hutchins '20 |
Olivia Gassner '18 Kaitlyn Delisser '20 Andrew Scotti '20 |
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.