| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | University of Washington | Huskies | 8–1 | |
| 2 | University of Victoria | Thunder | 5–4 | |
| 3 | Oregon State University | Beavers | 3–6 | |
| 4 | Western Washington University | Vikings | 2–7 |
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 3,412 team race matches sailed before 2014-04-05, using the line-ups that actually raced. It called 13 of 18 matches (72%) with a log-loss of 0.641 (a coin flip scores 0.693), so the event went poorly for the forecast. Orderliness −0.78 ± 0.39: an upset-heavy event, more orderly than 5% 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 | University of Washington Huskies | 1 | 7.97 school +0.28 | Kris Thompson / Molly Utter 2.54 Sam Parish / Melissa Hickenbottom 1.79 Karl Haelsig / Sarah Redmond 3.21 | 93% | 8–1 (89%) | −0.4 |
| 2 | University of Victoria Thunder | 2 | 5.80 | Geoff Abel / Adele Horbulyk David Berry / Jordan Pow Reid Cannon / Nicki Le Baron | 52% | 5–4 (56%) | +0.3 |
| 3 | Oregon State University Beavers | 4 | 3.61 school −0.42 | Brian Hickman / Cragan Smith 1.52 Cody Odou / Aike Burger Austin Sandifer / Kyle Peterzã©N 1.26 2–4 Austin Sandifer / Erin Morrison 1.27 1–2 | 8% | 3–6 (33%) | +2.3 |
| 4 | Western Washington University Vikings | 3 | 5.51 school +1.06 | Jake Fetterman / Rachael Mccrady 1.55 Taylor Martin / Elsa Balton Gabe Hill / Kalli Light 1.41 | 47% | 2–7 (22%) | −2.2 |
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 | Oregon State University | 3.61 | 5.54 | 3–6 | 0.7 | +1.93 | 3.7 | 3% |
| 2 | University of Victoria | 5.80 | 6.04 | 5–4 | 4.7 | +0.24 | 0.1 | 57% |
| 1 | University of Washington | 7.97 | 7.38 | 8–1 | 8.4 | −0.59 | 0.2 | 89% |
| 4 | Western Washington University | 5.51 | 3.74 | 2–7 | 4.2 | −1.78 | 2.7 | 99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Brian Hickman | Oregon State University | 1.52 | 3.45 | 3–6 | 0.7 | +1.93 | 3.7 | 3% |
| Cody Odou | Oregon State University | 1.07 | 3.00 | 3–6 | 0.7 | +1.93 | 3.7 | 3% |
| Austin Sandifer | Oregon State University | 1.26 | 3.19 | 3–6 | 0.7 | +1.93 | 3.7 | 3% |
| Geoff Abel | University of Victoria | 1.91 | 2.16 | 5–4 | 4.7 | +0.24 | 0.1 | 57% |
| David Berry | University of Victoria | 1.73 | 1.97 | 5–4 | 4.7 | +0.24 | 0.1 | 57% |
| Reid Cannon | University of Victoria | 1.56 | 1.80 | 5–4 | 4.7 | +0.24 | 0.1 | 57% |
| Kris Thompson | University of Washington | 2.54 | 1.95 | 8–1 | 8.4 | −0.59 | 0.2 | 89% |
| Sam Parish | University of Washington | 1.79 | 1.20 | 8–1 | 8.4 | −0.59 | 0.2 | 89% |
| Jake Fetterman | Western Washington University | 1.55 | -0.22 | 2–7 | 4.2 | −1.78 | 2.7 | 99% |
| Taylor Martin | Western Washington University | 1.14 | -0.64 | 2–7 | 4.2 | −1.78 | 2.7 | 99% |
| Gabe Hill | Western Washington University | 1.41 | -0.36 | 2–7 | 4.2 | −1.78 | 2.7 | 99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Huskies | Thunder | Beavers | Vikings | |
|---|---|---|---|---|---|---|
| University of Washington Huskies | 3–0 | ✕ | W | W | W | |
| University of Victoria Thunder | 2–1 | L | ✕ | W | W | |
| Oregon State University Beavers | 1–2 | L | L | ✕ | W | |
| Western Washington University Vikings | 0–3 | L | L | L | ✕ |
| Team | Rec. | Huskies | Thunder | Beavers | Vikings | |
|---|---|---|---|---|---|---|
| University of Washington Huskies | 3–0 | ✕ | W | W | W | |
| University of Victoria Thunder | 1–2 | L | ✕ | L | W | |
| Oregon State University Beavers | 2–1 | L | W | ✕ | W | |
| Western Washington University Vikings | 0–3 | L | L | L | ✕ |
| Team | Rec. | Huskies | Thunder | Beavers | Vikings | |
|---|---|---|---|---|---|---|
| University of Washington Huskies | 2–1 | ✕ | L | W | W | |
| University of Victoria Thunder | 2–1 | W | ✕ | W | L | |
| Oregon State University Beavers | 0–3 | L | L | ✕ | L | |
| Western Washington University Vikings | 2–1 | L | W | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Thunder | 1-2-5 | def. | Vikings | 3-4-6 | ||
| 2 | Huskies | 1-2-6 | def. | Beavers | 3-4-5 | ||
| 3 | Beavers | 2-3-4 | def. | Vikings | 1-5-6 DSQ | ||
| 4 | Huskies | 1-2-5 | def. | Vikings | 3-4-6 | ||
| 5 | Huskies | 1-2-4 | def. | Thunder | 3-5-6 | ||
| 6 | Thunder | 2-4-6 | def. | Beavers | 1-3-5 DSQ | ||
| 7 | Thunder | 1-3-4 | def. | Vikings | 2-5-6 | ||
| 8 | Huskies | 1-2-3 | def. | Beavers | 4-5-6 | ||
| 9 | Beavers | 1-2-6 | def. | Vikings | 3-4-5 | ||
| 10 | Huskies | 1-2-3 | def. | Vikings | 4-5-6 | ||
| 11 | Huskies | 1-3-5 | def. | Thunder | 2-4-6 | ||
| 12 | Beavers | 2-3-5 | def. | Thunder | 1-4-6 | ||
| 13 | Vikings | 1-2-5 | def. | Thunder | 3-4-6 | ||
| 14 | Huskies | 1-2-4 | def. | Beavers | 3-5-6 | ||
| 15 | Vikings | 2-3-4 | def. | Beavers | 1-5-6 | ||
| 16 | Huskies | 1-2-5 | def. | Vikings | 3-4-6 | ||
| 17 | Thunder | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 18 | Thunder | 1-2-5 | def. | Beavers | 3-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| University of Washington | Huskies | Karl Haelsig '14 Kris Thompson '16 Sam Parish '15 |
Sarah Redmond '15 Molly Utter '14 Melissa Hickenbottom '16 |
|
| University of Victoria | Thunder | David Berry '16 Geoff Abel '14 Reid Cannon '15 |
Jordan Pow '17 Adele Horbulyk '16 Nicki Le Baron '15 |
|
| Oregon State University | Beavers | Austin Sandifer '16 Brian Hickman '15 Cody Odou '17 |
Kyle Peterzã©N '16 Erin Morrison '15 Cragan Smith '14 Aike Burger '16 |
|
| Western Washington University | Vikings | Gabe Hill '16 Jake Fetterman '15 Taylor Martin '16 |
Kalli Light '17 Rachael Mccrady '14 Elsa Balton '17 |
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 ±0.09 means a rating gap counts about 8% less 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.