| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Western Washington University | Vikings 5 | 7–1 | |
| 2 | Western Washington University | Vikings 7 | 6–1 | |
| 3 | Western Washington University | Vikings 1 | 5–2 | |
| 4 | University of Washington | Huskies 3 | 5–2 | |
| 5 | Western Washington University | Vikings 4 | 5–3 | |
| 6 | Western Washington University | Vikings 2 | 4–3 | |
| 7 | University of Washington | Huskies 1 | 2–5 | |
| 8 | University of Washington | Huskies 2 | 1–6 | |
| 9 | Western Washington University | Vikings 3 | 1–7 | |
| 10 | Western Washington University | Vikings 6 | 1–7 |
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 26,645 team race matches sailed before 2025-03-29, using the line-ups that actually raced. It called 11 of 12 matches (92%) with a log-loss of 0.333 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.35 ± 0.52: a typical event, more orderly than 80% 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) |
|---|---|---|---|---|---|---|---|---|
| 3 | Western Washington University Vikings 1 | 5.71 | 8.71 | 4–0 | 3.3 | ≥+3.00 | 1.2 | 41% |
| 4 | University of Washington Huskies 3 | 4.24 | 5.73 | 3–1 | 2.1 | +1.50 | 1.0 | 27% |
| 7 | University of Washington Huskies 1 | 3.05 | 3.68 | 1–2 | 0.8 | +0.62 | 0.1 | 66% |
| 8 | University of Washington Huskies 2 | 2.78 | 3.21 | 1–2 | 0.8 | +0.43 | 0.1 | 66% |
| 6 | Western Washington University Vikings 2 | 5.40 | 4.09 | 3–2 | 4.0 | −1.31 | 1.0 | 97% |
| 9 | Western Washington University Vikings 3 | 2.56 | -0.44 | 0–5 | 1.1 | ≤−3.00 | 1.9 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Alexander Turloff | Western Washington University | 1.78 | 4.78 | 4–0 | 3.3 | ≥+3.00 | 1.2 | 41% |
| Benjamin Stone | University of Washington | 2.30 | 3.79 | 3–1 | 2.1 | +1.50 | 1.0 | 27% |
| Maxwell Miller | University of Washington | 1.91 | 2.53 | 1–2 | 0.8 | +0.62 | 0.1 | 66% |
| Stephanie Seto | University of Washington | 0.69 | 1.12 | 1–2 | 0.8 | +0.43 | 0.1 | 66% |
| Mary D’Arcy | Western Washington University | 2.06 | 0.75 | 3–2 | 4.0 | −1.31 | 1.0 | 97% |
| Anna Morrow | Western Washington University | 0.68 | -0.63 | 3–2 | 4.0 | −1.31 | 1.0 | 97% |
| Adam Turloff | Western Washington University | 2.15 | 0.84 | 3–2 | 4.0 | −1.31 | 1.0 | 97% |
| Jack Beeson | Western Washington University | 0.55 | -2.46 | 0–5 | 1.1 | ≤−3.00 | 1.9 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Rd | # | Winner | Loser | P(winner) | |
|---|---|---|---|---|---|
| 1 | 1 | Western Washington University Vikings 2 | Western Washington University Vikings 3 | 94% | |
| 1 | 6 | Western Washington University Vikings 1 | Western Washington University Vikings 2 | 56% | |
| 1 | 7 | University of Washington Huskies 3 | Western Washington University Vikings 3 | 83% | |
| 1 | 11 | Western Washington University Vikings 1 | University of Washington Huskies 3 | 81% | |
| 1 | 12 | Western Washington University Vikings 2 | University of Washington Huskies 2 | 94% | |
| 1 | 16 | University of Washington Huskies 3 | University of Washington Huskies 2 | 82% | |
| 1 | 25 | University of Washington Huskies 1 | Western Washington University Vikings 3 | 61% | |
| 1 | 29 | Western Washington University Vikings 1 | Western Washington University Vikings 3 | 96% | |
| 1 | 30 | Western Washington University Vikings 2 | University of Washington Huskies 1 | 92% | |
| 1 | 33 | University of Washington Huskies 2 | Western Washington University Vikings 3 | 55% | |
| 1 | 34 | University of Washington Huskies 3 | Western Washington University Vikings 2 | 24% | upset |
| 1 | 35 | Western Washington University Vikings 1 | University of Washington Huskies 1 | 94% |
| Team | Rec. | 5 | 7 | 1 | 3 | 4 | 2 | 1 | 2 | 3 | 6 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Western Washington University Vikings 5 | 34–29 | ✕ | ✕ | ✕ | W | ✕ | ✕ | W | W | ✕ | ✕ | |
| Western Washington University Vikings 7 | 34–29 | ✕ | ✕ | ✕ | W | ✕ | ✕ | W | W | ✕ | ✕ | |
| Western Washington University Vikings 1 | 34–29 | ✕ | ✕ | ✕ | W | ✕ | ✕ | W | W | ✕ | ✕ | |
| University of Washington Huskies 3 | 11–16 | L | L | L | ✕ | L | L | ✕ | ✕ | L | L | |
| Western Washington University Vikings 4 | 34–29 | ✕ | ✕ | ✕ | W | ✕ | ✕ | W | W | ✕ | ✕ | |
| Western Washington University Vikings 2 | 34–29 | ✕ | ✕ | ✕ | W | ✕ | ✕ | W | W | ✕ | ✕ | |
| University of Washington Huskies 1 | 11–16 | L | L | L | ✕ | L | L | ✕ | ✕ | L | L | |
| University of Washington Huskies 2 | 11–16 | L | L | L | ✕ | L | L | ✕ | ✕ | L | L | |
| Western Washington University Vikings 3 | 34–29 | ✕ | ✕ | ✕ | W | ✕ | ✕ | W | W | ✕ | ✕ | |
| Western Washington University Vikings 6 | 34–29 | ✕ | ✕ | ✕ | W | ✕ | ✕ | W | W | ✕ | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Vikings 2 | 1-4-5 | def. | Vikings 3 | 2-3-6 | ||
| 2 | Vikings 4 | 1-3-6 | def. | Vikings 1 | 2-4-5 | ||
| 3 | Vikings 5 | 2-3-4 | def. | Huskies 3 | 1-5-6 | ||
| 4 | Vikings 6 | 1-3-4 | def. | Huskies 2 | 2-5-6 | ||
| 5 | Vikings 7 | 1-2-4 | def. | Huskies 1 | 3-5-6 | ||
| 6 | Vikings 1 | 1-3-5 | def. | Vikings 2 | 2-4-6 | ||
| 7 | Huskies 3 | 1-2-6 | def. | Vikings 3 | 3-4-5 | ||
| 8 | Vikings 4 | 1-3-5 | def. | Huskies 2 | 2-4-6 | ||
| 9 | Vikings 5 | 1-2-6 | def. | Vikings 7 | 3-4-5 | ||
| 10 | Huskies 1 | 2-3-5 | def. | Vikings 6 | 1-4-6 | ||
| 11 | Vikings 1 | 1-2-5 | def. | Huskies 3 | 3-4-6 | ||
| 12 | Vikings 2 | 1-4-5 | def. | Huskies 2 | 2-3-6 | ||
| 13 | Vikings 7 | 1-2-3 | def. | Vikings 3 | 4-5-6 | ||
| 14 | Vikings 4 | 1-2-3 | def. | Vikings 6 | 4-5-6 | ||
| 15 | Vikings 5 | 2-3-4 | def. | Huskies 1 | 1-5-6 | ||
| 16 | Huskies 3 | 1-2-3 | def. | Huskies 2 | 4-5-6 | ||
| 17 | Vikings 7 | 1-2-4 | def. | Vikings 1 | 3-5-6 | ||
| 18 | Vikings 2 | 1-2-3 | def. | Vikings 6 | 4-5-6 | ||
| 19 | Vikings 5 | 2-3-4 | def. | Vikings 3 | 1-5-6 | ||
| 20 | Vikings 4 | 1-2-5 | def. | Huskies 1 | 3-4-6 | ||
| 21 | Vikings 7 | 1-2-4 | def. | Huskies 2 | 3-5-6 | ||
| 22 | Huskies 3 | 1-2-3 | def. | Vikings 6 | 4-5-6 | ||
| 23 | Vikings 1 | 1-2-4 | def. | Vikings 5 | 3-5-6 | ||
| 24 | Vikings 4 | 1-3-5 | def. | Vikings 2 | 2-4-6 | ||
| 25 | Huskies 1 | 1-2-6 | def. | Vikings 3 | 3-4-5 | ||
| 26 | Vikings 7 | 1-2-3 | def. | Vikings 6 | 4-5-6 | ||
| 27 | Vikings 5 | 1-2-3 | def. | Huskies 2 | 4-5-6 | ||
| 28 | Huskies 3 | 2-3-4 | def. | Vikings 4 | 1-5-6 | ||
| 29 | Vikings 1 | 1-2-3 | def. | Vikings 3 | 4-5-6 | ||
| 30 | Vikings 2 | 1-2-6 | def. | Huskies 1 | 3-4-5 | ||
| 31 | Vikings 5 | 1-2-3 | def. | Vikings 6 | 4-5-6 | ||
| 32 | Vikings 7 | 1-2-5 | def. | Vikings 4 | 3-4-6 | ||
| 33 | Huskies 2 | 2-3-5 | def. | Vikings 3 | 1-4-6 | ||
| 34 | Huskies 3 | 1-3-6 | def. | Vikings 2 | 2-4-5 | ||
| 35 | Vikings 1 | 1-2-4 | def. | Huskies 1 | 3-5-6 | ||
| 36 | Vikings 5 | 1-2-3 | def. | Vikings 4 | 4-5-6 | ||
| 37 | Vikings 3 | 1-2-5 | def. | Vikings 6 | 3-4-6 | ||
| 38 | Vikings 7 | def. | Vikings 2 | ||||
| 39 | Huskies 2 | def. | Vikings 1 | ||||
| 40 | Huskies 3 | def. | Huskies 1 | ||||
| 41 | Vikings 4 | def. | Vikings 3 | ||||
| 42 | Vikings 5 | def. | Vikings 2 | ||||
| 43 | Vikings 6 | def. | Vikings 1 | ||||
| 44 | Vikings 7 | def. | Huskies 3 | ||||
| 45 | Huskies 2 | def. | Huskies 1 | ||||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Western Washington University | Vikings 1 | Alexander Turloff '27 Caroline Hurley '25 Leif Hauge '28 |
Erica Stavnem '28 Cora Gunderson '27 Yuri Berebitsky '27 |
|
| University of Washington | Huskies 3 | Benjamin Stone '27 Kieran Lyons '26 Liam Boettcher '28 |
Jaya Wirth '27 Ayana Owen '28 Brianne Abbott-Rogge '25 |
|
| Western Washington University | Vikings 2 | Adam Turloff '27 Anna Morrow '25 Mary D’Arcy '26 |
Kerry Wier '25 Addison Dunn '28 Faith Burton '26 |
|
| University of Washington | Huskies 1 | Kirin Dhaka '27 Lauren Mcclintock '25 Maxwell Miller '25 |
Jeffrey Kriegh '27 Allegra Mcalpin '27 Tillie Jane Leroy '27 |
|
| University of Washington | Huskies 2 | Jaxon Gordon '25 Sammy Farkas '27 Stephanie Seto '27 |
Jessica Rehmann '25 Julia Oglevie '26 Renee Chien '25 |
|
| Western Washington University | Vikings 3 | Ellie Blakemore '27 Jack Beeson '26 Sofia Brown Patricio '28 |
Morgan Walden '26 Hans Scheyer '28 |
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 ±0.02 means a rating gap counts about 2% 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.