| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Stanford University | Cardinal | 14–1 | |
| 2 | University of California at Santa Barbara | Gauchos | 11–4 | |
| 3 | California Maritime Academy | Keelhaulers | 3–12 | |
| 4 | University of California at Berkeley | Bears | 2–13 |
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 16,026 team race matches sailed before 2022-02-26, using the line-ups that actually raced. It called 27 of 30 matches (90%) with a log-loss of 0.210 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.09 ± 0.38: a typical event, more orderly than 52% 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 | Stanford University Cardinal | 1 | 11.15 school +0.42, home +0.34 | Jack Parkin / Sammy Pickell 3.89 Wiley Rogers / Anaclare Sole 3.45 Justin Lim / Mathew Hogan 3.02 | 95% | 14–1 (93%) | −0.3 |
| 2 | University of California at Santa Barbara Gauchos | 2 | 9.29 school −0.19 | David Eastwood / Sydney Aguirre 3.34 Chris Kayda / Kyla Murphy 3.12 Sidney Gathrid / Julia Roudebush 2.99 | 70% | 11–4 (73%) | +0.5 |
| 3 | California Maritime Academy Keelhaulers | 3 | 5.45 school +0.21 | Jacob Fisker-Andersen / Safari Frisell 2.65 Etienne Quille / Madeline Rivera Charles Bedford / Garrett Wymer | 18% | 3–12 (20%) | +0.2 |
| 4 | University of California at Berkeley Bears | 4 | 5.35 | Will Cornell / Beck Boyea 2.23 Katherine Olsen / Mackenzie Berwick 1.65 Nate Ingebritson / Jessica Stewart 1.29 | 16% | 2–13 (13%) | −0.5 |
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 California at Santa Barbara | 9.29 | 9.90 | 11–4 | 10.5 | +0.61 | 0.2 | 44% |
| 3 | California Maritime Academy | 5.45 | 5.62 | 3–12 | 2.8 | +0.17 | 0.0 | 59% |
| 4 | University of California at Berkeley | 5.35 | 5.00 | 2–13 | 2.5 | −0.35 | 0.1 | 79% |
| 1 | Stanford University | 11.15 | 10.74 | 14–1 | 14.3 | −0.41 | 0.1 | 85% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Sidney Gathrid | University of California at Santa Barbara | 2.99 | 3.60 | 11–4 | 10.5 | +0.61 | 0.2 | 44% |
| Jacob Fisker-Andersen | California Maritime Academy | 2.65 | 2.81 | 3–12 | 2.8 | +0.17 | 0.0 | 59% |
| Charles Bedford | California Maritime Academy | 1.42 | 1.59 | 3–12 | 2.8 | +0.17 | 0.0 | 59% |
| Katherine Olsen | University of California at Berkeley | 1.65 | 1.30 | 2–13 | 2.5 | −0.35 | 0.1 | 79% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Cardinal | Gauchos | Keelhaulers | Bears | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 2–1 | ✕ | L | W | W | |
| University of California at Santa Barbara Gauchos | 3–0 | W | ✕ | W | W | |
| California Maritime Academy Keelhaulers | 1–2 | L | L | ✕ | W | |
| University of California at Berkeley Bears | 0–3 | L | L | L | ✕ |
| Team | Rec. | Cardinal | Gauchos | Keelhaulers | Bears | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 3–0 | ✕ | W | W | W | |
| University of California at Santa Barbara Gauchos | 2–1 | L | ✕ | W | W | |
| California Maritime Academy Keelhaulers | 1–2 | L | L | ✕ | W | |
| University of California at Berkeley Bears | 0–3 | L | L | L | ✕ |
| Team | Rec. | Cardinal | Gauchos | Keelhaulers | Bears | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 3–0 | ✕ | W | W | W | |
| University of California at Santa Barbara Gauchos | 2–1 | L | ✕ | W | W | |
| California Maritime Academy Keelhaulers | 1–2 | L | L | ✕ | W | |
| University of California at Berkeley Bears | 0–3 | L | L | L | ✕ |
| Team | Rec. | Cardinal | Gauchos | Keelhaulers | Bears | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 3–0 | ✕ | W | W | W | |
| University of California at Santa Barbara Gauchos | 2–1 | L | ✕ | W | W | |
| California Maritime Academy Keelhaulers | 0–3 | L | L | ✕ | L | |
| University of California at Berkeley Bears | 1–2 | L | L | W | ✕ |
| Team | Rec. | Cardinal | Gauchos | Keelhaulers | Bears | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 3–0 | ✕ | W | W | W | |
| University of California at Santa Barbara Gauchos | 2–1 | L | ✕ | W | W | |
| California Maritime Academy Keelhaulers | 0–3 | L | L | ✕ | L | |
| University of California at Berkeley Bears | 1–2 | L | L | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Cardinal | 1-2-3 | def. | Keelhaulers | 4-5-6 | ||
| 2 | Gauchos | 1-2-6 | def. | Bears | 3-4-5 | ||
| 3 | Gauchos | 1-2-4 | def. | Keelhaulers | 3-5-6 | ||
| 4 | Cardinal | 1-2-4 | def. | Bears | 3-5-6 | ||
| 5 | Gauchos | 2-3-4 | def. | Cardinal | 1-5-6 | ||
| 6 | Keelhaulers | 1-3-4 | def. | Bears | 2-5-6 | ||
| 7 | Cardinal | 1-2-3 | def. | Keelhaulers | 4-5-6 | ||
| 8 | Gauchos | 1-2-3 | def. | Bears | 4-5-6 | ||
| 9 | Gauchos | 1-2-3 | def. | Keelhaulers | 4-5-6 | ||
| 10 | Cardinal | 1-2-3 | def. | Bears | 4-5-6 | ||
| 11 | Cardinal | 2-3-4 | def. | Gauchos | 1-5-6 | ||
| 12 | Keelhaulers | 2-3-5 | def. | Bears | 1-4-6 | ||
| 13 | Cardinal | 1-2-3 | def. | Keelhaulers | 4-5-6 | ||
| 14 | Gauchos | 1-2-3 | def. | Bears | 4-5-6 | ||
| 15 | Gauchos | 1-2-3 | def. | Keelhaulers | 4-5-6 | ||
| 16 | Cardinal | 1-2-5 | def. | Bears | 3-4-6 | ||
| 17 | Cardinal | 1-2-3 | def. | Gauchos | 4-5-6 | ||
| 18 | Keelhaulers | 1-2-3 | def. | Bears | 4-5-6 | ||
| 19 | Cardinal | 1-2-4 | def. | Keelhaulers | 3-5-6 | ||
| 20 | Gauchos | 1-2-3 | def. | Bears | 4-5-6 | ||
| 21 | Cardinal | 1-2-3 | def. | Bears | 4-5-6 | ||
| 22 | Gauchos | 1-2-5 | def. | Keelhaulers | 3-4-6 | ||
| 23 | Bears | 1-2-6 | def. | Keelhaulers | 3-4-5 | ||
| 24 | Cardinal | 1-2-6 | def. | Gauchos | 3-4-5 | ||
| 25 | Cardinal | 1-2-3 | def. | Keelhaulers | 4-5-6 | ||
| 26 | Gauchos | 1-2-3 | def. | Bears | 4-5-6 | ||
| 27 | Cardinal | 1-2-4 | def. | Bears | 3-5-6 | ||
| 28 | Gauchos | 1-2-3 | def. | Keelhaulers | 4-5-6 | ||
| 29 | Bears | 1-2-4 | def. | Keelhaulers | 3-5-6 | ||
| 30 | Cardinal | 1-2-5 | def. | Gauchos | 3-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Stanford University | Cardinal | Jack Parkin '21 Justin Lim '23 Wiley Rogers '22 |
Sammy Pickell '22 Mathew Hogan '21 Anaclare Sole '23 |
|
| University of California at Santa Barbara | Gauchos | Chris Kayda '23 David Eastwood '22 Sidney Gathrid '22 |
Kyla Murphy '23 Sydney Aguirre '22 Julia Roudebush '23 |
|
| California Maritime Academy | Keelhaulers | Charles Bedford '24 Etienne Quille '25 Jacob Fisker-Andersen '21 |
Garrett Wymer '22 Madeline Rivera '22 Safari Frisell '25 |
|
| University of California at Berkeley | Bears | Katherine Olsen '25 Nate Ingebritson '25 Will Cornell '25 |
Mackenzie Berwick '22 Jessica Stewart '23 Beck Boyea '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 ±0.13 means a rating gap counts about 11% 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.