| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Cal Poly University S.L.O. | Mustang | 9–2 | |
| 2 | California State University Monterey Bay | Otters | 7–3 | |
| 3 | University of California at Davis | Aggies | 6–4 | |
| 4 | University of California at Berkeley | Bears 2 | 5–6 | |
| 5 | University of California at Berkeley | Bears 1 | 4–6 | |
| 6 | University of California at Irvine | Anteaters | 0–10 |
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 4,181 team race matches sailed before 2015-02-28, using the line-ups that actually raced. It called 20 of 32 matches (62%) with a log-loss of 0.620 (a coin flip scores 0.693), so the event went poorly for the forecast. Orderliness −0.59 ± 0.36: an upset-heavy event, more orderly than 8% 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 | California State University Monterey Bay Otters | 2.19 | 4.18 | 7–3 | 3.4 | +2.00 | 5.5 | 1% |
| 1 | Cal Poly University S.L.O. Mustang | 3.92 | 4.37 | 9–2 | 8.2 | +0.45 | 0.2 | 44% |
| 3 | University of California at Davis Aggies | 2.71 | 3.13 | 6–4 | 5.2 | +0.42 | 0.2 | 42% |
| 4 | University of California at Berkeley Bears 2 | 3.47 | 2.85 | 6–6 | 7.4 | −0.62 | 0.6 | 90% |
| 5 | University of California at Berkeley Bears 1 | 3.48 | 1.92 | 4–7 | 7.1 | −1.56 | 3.4 | 99% |
| 6 | University of California at Irvine Anteaters | -0.28 | -3.28 | 0–10 | 0.6 | ≤−3.00 | 0.9 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Mustang | Otters | Aggies | 2 | 1 | Anteaters | |
|---|---|---|---|---|---|---|---|---|
| Cal Poly University S.L.O. Mustang | 9–2 | ✕ | L | W | L | L | W | |
| California State University Monterey Bay Otters | 7–3 | W | ✕ | W | L | L | W | |
| University of California at Davis Aggies | 6–4 | L | L | ✕ | W | W | W | |
| University of California at Berkeley Bears 2 | 10–13 | W | W | L | ✕ | ✕ | W | |
| University of California at Berkeley Bears 1 | 10–13 | W | W | L | ✕ | ✕ | W | |
| University of California at Irvine Anteaters | 0–10 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Mustang | 1-2-3 | def. | Otters | 4-5-6 | ||
| 2 | Aggies | 1-2-5 | def. | Bears 2 | 3-4-6 | ||
| 3 | Bears 1 | 1-2-3 | def. | Anteaters | 4-5-6 | ||
| 4 | Mustang | 1-2-6 | def. | Aggies | 3-4-5 | ||
| 5 | Bears 1 | 1-2-3 | def. | Otters | 4-5-6 | ||
| 6 | Bears 2 | 1-4-5 | def. | Anteaters | 2-3-6 | ||
| 7 | Aggies | 1-3-4 | def. | Bears 1 | 2-5-6 | ||
| 8 | Mustang | 2-3-4 | def. | Bears 2 | 1-5-6 | ||
| 9 | Otters | 1-2-3 | def. | Anteaters | 4-5-6 | ||
| 10 | Bears 2 | 1-2-5 | def. | Bears 1 | 3-4-6 | ||
| 11 | Otters | 1-2-4 | def. | Aggies | 3-5-6 | ||
| 12 | Mustang | 1-2-3 | def. | Anteaters | 4-5-6 | ||
| 13 | Otters | 1-2-5 | def. | Bears 2 | 3-4-6 | ||
| 14 | Mustang | 2-3-5 | def. | Bears 1 | 1-4-6 | ||
| 15 | Aggies | 1-2-6 | def. | Anteaters | 3-4-5 | ||
| 16 | Otters | 1-2-5 | def. | Mustang | 3-4-6 | ||
| 17 | Aggies | 2-3-4 | def. | Bears 2 | 1-5-6 | ||
| 18 | Bears 1 | 1-2-5 | def. | Anteaters | 3-4-6 | ||
| 19 | Mustang | 1-2-3 | def. | Aggies | 4-5-6 | ||
| 20 | Otters | 1-2-4 | def. | Bears 1 | 3-5-6 | ||
| 21 | Bears 2 | 1-2-4 | def. | Anteaters | 3-5-6 | ||
| 22 | Aggies | 1-2-5 | def. | Bears 1 | 3-4-6 | ||
| 23 | Mustang | 1-2-6 | def. | Bears 2 | 3-4-5 | ||
| 24 | Otters | 2-3-4 | def. | Anteaters | 1-5-6 | ||
| 25 | Bears 1 | 2-3-4 | def. | Bears 2 | 1-5-6 | ||
| 26 | Otters | 1-2-3 | def. | Aggies | 4-5-6 | ||
| 27 | Mustang | 1-2-3 | def. | Anteaters | 4-5-6 | ||
| 28 | Bears 2 | 2-3-4 | def. | Otters | 1-5-6 | ||
| 29 | Mustang | 1-3-4 | def. | Bears 1 | 2-5-6 | ||
| 30 | Aggies | 1-2-3 | def. | Anteaters | 4-5-6 | ||
| 31 | Bears 2 | 2-3-4 | def. | Bears 1 | 1-5-6 | ||
| 32 | Bears 2 | 1-2-6 | def. | Mustang | 3-4-5 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Cal Poly University S.L.O. | Mustang | David Cornella '17 Grace Carrick '18 Joseph Lausten '18 |
Kathryn Cornella '16 Haley Weber '18 Kathryn Eberle '17 |
|
| California State University Monterey Bay | Otters | Alicia Ward '18 Olivia Gibbons '17 Peter Schmidt '18 |
Lauren Orloff '16 Casey Weisenseel '15 Kylee Walterman '17 |
|
| University of California at Davis | Aggies | Antonio Rojas Mayol '16 Lucas Murray '15 Robert Jones '16 Samuel Sara '18 William Emberley '16 |
Samuel Sara '18 Antonio Rojas Mayol '16 Joseph Naro '18 Natasha Jarett '14 Lucas Murray '15 |
|
| University of California at Berkeley | Bears 2 | Cole Fargo '18 Henry Keenan '18 Tyler Hogan '17 |
Katie Hitchcock '16 Chun Ting Justin Lai '16 Emily Hawkins '15 |
|
| University of California at Berkeley | Bears 1 | Ian Markowitz '17 Kyra Oakes '18 Saul Rosen '15 |
Alexandre Mutricy '17 Ekaterina Goncharova '18 Winter Martin '17 |
|
| University of California at Irvine | Anteaters | Addison Whittet '16 Daniel Diaz '15 James Heller '15 |
Mary Oneill '16 Robin Fales '16 Philip Tagatac '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 ±0.05 means a rating gap counts about 4% 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.