| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | University of Victoria | Vikes | 8–1 | |
| 2 | University of Washington | Huskies | 6–3 | |
| 3 | Western Washington University | Vikings 1 | 6–3 | |
| 4 | Western Washington University | Vikings 2 | 6–3 | |
| 5 | Portland State University | Vikings | 1–8 | |
| 6 | University of Oregon | Ducks | 0–9 |
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 18,595 team race matches sailed before 2022-04-16, using the line-ups that actually raced. It called 7 of 11 matches (64%) with a log-loss of 0.427 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.29 ± 0.58: a typical event, more orderly than 74% 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 |
|---|---|---|---|---|---|---|---|
| 2 | University of Washington Huskies | 3 | 1.66 school −0.06 | Henry Stier / Kaia Armas Jaxon Gordon / Malcolm Renney Samuel Delasanta / Duncan Weiner 1.04 | 55% | 4–1 (80%) | +1.2 |
| 3 | Western Washington University Vikings 1 | 2 | 2.14 school −0.34, home +0.37 | Anna Morrow / Kira Davis Leopold Sabharwal / Maya Giss Lucas Burzycki / Fiona Mcbride 0.93 | 65% | 4–2 (67%) | +0.1 |
| 4 | Western Washington University Vikings 2 | 1 | 2.50 school −0.34, home +0.37 | Tyler Nolasco / Oliver Tanaka 1.25 Cooper Snell / Aliyah Dodge Maxwell Dodd / Mason Dunbar 0.43 3–0 Maxwell Dodd / Christa Robertson 0.46 0–2 | 73% | 3–2 (60%) | −0.7 |
| 5 | Portland State University Vikings | 4 | -0.04 | Christopher Sloggett / Yoko Kinoshita Alexx Johnson / Kelly Pompermayer 0–4 Benjamin Nelson / Thomas Moore 0–4 Alexx Johnson / Bailey Deets 0–2 Axcelle Bell / Karlie Bonds 0–2 | 12% | 0–6 (0%) | −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) |
|---|---|---|---|---|---|---|---|---|
| 2 | University of Washington Huskies | 1.66 | 3.09 | 4–1 | 2.7 | +1.43 | 1.2 | 22% |
| 3 | Western Washington University Vikings 1 | 2.14 | 2.23 | 4–2 | 3.9 | +0.09 | 0.0 | 65% |
| 4 | Western Washington University Vikings 2 | 2.50 | 1.78 | 3–2 | 3.7 | −0.72 | 0.4 | 90% |
| 5 | Portland State University Vikings | -0.04 | -3.04 | 0–6 | 0.7 | ≤−3.00 | 1.0 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Samuel Delasanta | University of Washington | 1.04 | 2.48 | 4–1 | 2.7 | +1.43 | 1.2 | 22% |
| Anna Morrow | Western Washington University | 0.06 | 0.16 | 4–2 | 3.9 | +0.09 | 0.0 | 65% |
| Leopold Sabharwal | Western Washington University | 0.80 | 0.90 | 4–2 | 3.9 | +0.09 | 0.0 | 65% |
| Lucas Burzycki | Western Washington University | 0.93 | 1.02 | 4–2 | 3.9 | +0.09 | 0.0 | 65% |
| Maxwell Dodd | Western Washington University | 0.43 | -0.29 | 3–2 | 3.7 | −0.72 | 0.4 | 90% |
| Cooper Snell | Western Washington University | 0.65 | -0.07 | 3–2 | 3.7 | −0.72 | 0.4 | 90% |
| Alexx Johnson | Portland State University | 0.12 | -2.88 | 0–6 | 0.7 | ≤−3.00 | 1.0 | >99% |
| Benjamin Nelson | Portland State University | -0.07 | -3.07 | 0–4 | 0.4 | ≤−3.00 | 0.5 | >99% |
| Christopher Sloggett | Portland State University | -0.45 | -3.44 | 0–6 | 0.7 | ≤−3.00 | 1.0 | >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 | 2 | Western Washington University Vikings 1 | Portland State University Vikings | 90% | |
| 1 | 4 | University of Washington Huskies | Portland State University Vikings | 85% | |
| 1 | 7 | Western Washington University Vikings 2 | Portland State University Vikings | 92% | |
| 1 | 8 | University of Washington Huskies | Western Washington University Vikings 1 | 40% | upset |
| 1 | 10 | Western Washington University Vikings 1 | Western Washington University Vikings 2 | 42% | upset |
| 1 | 14 | Western Washington University Vikings 2 | University of Washington Huskies | 70% | |
| 2 | 17 | Western Washington University Vikings 1 | Portland State University Vikings | 90% | |
| 2 | 19 | University of Washington Huskies | Portland State University Vikings | 83% | |
| 2 | 22 | Western Washington University Vikings 2 | Portland State University Vikings | 91% | |
| 2 | 23 | University of Washington Huskies | Western Washington University Vikings 1 | 36% | upset |
| 2 | 25 | Western Washington University Vikings 1 | Western Washington University Vikings 2 | 44% | upset |
| Team | Rec. | Vikes | Huskies | 1 | 2 | Vikings | Ducks | |
|---|---|---|---|---|---|---|---|---|
| University of Victoria Vikes | 5–0 | ✕ | W | W | W | W | W | |
| University of Washington Huskies | 3–2 | L | ✕ | L | L | W | W | |
| Western Washington University Vikings 1 | 6–4 | L | W | ✕ | ✕ | W | W | |
| Western Washington University Vikings 2 | 6–4 | L | W | ✕ | ✕ | W | W | |
| Portland State University Vikings | 1–4 | L | L | L | L | ✕ | W | |
| University of Oregon Ducks | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Vikes | Huskies | 1 | 2 | Vikings | Ducks | |
|---|---|---|---|---|---|---|---|---|
| University of Victoria Vikes | 3–1 | ✕ | W | L | L | W | W | |
| University of Washington Huskies | 3–1 | L | ✕ | W | W | W | W | |
| Western Washington University Vikings 1 | 6–2 | W | L | ✕ | ✕ | W | W | |
| Western Washington University Vikings 2 | 6–2 | W | L | ✕ | ✕ | W | W | |
| Portland State University Vikings | 0–4 | L | L | L | L | ✕ | – | |
| University of Oregon Ducks | 0–4 | L | L | L | L | – | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Vikes | 1-2-4 | def. | Huskies | 3-5-6 | ||
| 2 | Vikings 1 | 1-2-3 | def. | Vikings | 4-5-6 | ||
| 3 | Vikings 2 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 4 | Huskies | 1-2-4 | def. | Vikings | 3-5-6 | ||
| 5 | Vikes | 1-2-5 | def. | Vikings 2 | 3-4-6 | ||
| 6 | Vikings 1 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 7 | Vikings 2 | 1-3-4 | def. | Vikings | 2-5-6 | ||
| 8 | Huskies | 1-3-6 | def. | Vikings 1 | 2-4-5 | ||
| 9 | Vikes | 1-2-5 | def. | Ducks | 3-4-6 | ||
| 10 | Vikings 1 | 2-3-5 | def. | Vikings 2 | 1-4-6 | ||
| 11 | Vikes | 1-2-3 | def. | Vikings | 4-5-6 | ||
| 12 | Huskies | 1-2-6 | def. | Ducks | 3-4-5 | ||
| 13 | Vikes | 1-2-5 | def. | Vikings 1 | 3-4-6 | ||
| 14 | Vikings 2 | 1-3-6 | def. | Huskies | 2-4-5 | ||
| 15 | Vikings | 1-2-6 | def. | Ducks | 3-4-5 | ||
| 16 | Vikes | 1-3-5 | def. | Huskies | 2-4-6 | ||
| 17 | Vikings 1 | 1-2-3 | def. | Vikings | 4-5-6 | ||
| 18 | Vikings 2 | 2-3-4 | def. | Ducks | 1-5-6 | ||
| 19 | Huskies | 1-4-5 | def. | Vikings | 2-3-6 | ||
| 20 | Vikings 2 | 1-3-6 | def. | Vikes | 2-4-5 | ||
| 21 | Vikings 1 | 1-2-6 | def. | Ducks | 3-4-5 | ||
| 22 | Vikings 2 | 1-2-5 | def. | Vikings | 3-4-6 | ||
| 23 | Huskies | 1-2-6 | def. | Vikings 1 | 3-4-5 | ||
| 24 | Vikes | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 25 | Vikings 1 | 1-2-6 | def. | Vikings 2 | 3-4-5 | ||
| 26 | Vikes | 1-2-5 | def. | Vikings | 3-4-6 | ||
| 27 | Huskies | 2-3-4 | def. | Ducks | 1-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| University of Washington | Huskies | Henry Stier '23 Jaxon Gordon '25 Samuel Delasanta '24 |
Kaia Armas '25 Malcolm Renney '24 Duncan Weiner '24 |
|
| Western Washington University | Vikings 1 | Anna Morrow '23 Leopold Sabharwal '25 Lucas Burzycki '23 |
Kira Davis '25 Maya Giss '24 Fiona Mcbride '21 |
|
| Western Washington University | Vikings 2 | Cooper Snell '23 Maxwell Dodd '23 Tyler Nolasco '23 |
Aliyah Dodge '25 Mason Dunbar '24 Christa Robertson '24 Oliver Tanaka '24 |
|
| Portland State University | Vikings | Alexx Johnson '23 Axcelle Bell '24 Benjamin Nelson '23 Christopher Sloggett '24 |
Bailey Deets '23 Kelly Pompermayer '22 Karlie Bonds '23 Thomas Moore '24 Yoko Kinoshita '24 |
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 ±0.03 means a rating gap counts about 3% 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.