| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Stanford University | Cardinal | 9–0 | |
| 2 | University of California at Santa Barbara | Gauchos | 6–3 | |
| 3 | University of Hawaii | Rainbows | 2–7 | |
| 4 | University of California at San Diego | Tritons | 1–8 |
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 15,658 team race matches sailed before 2021-04-25, using the line-ups that actually raced. It called 17 of 18 matches (94%) with a log-loss of 0.145 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.25 ± 0.41: a typical event, more orderly than 71% 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 | 11.52 school +0.45, home +0.34 | Jack Parkin / Anaclare Sole 3.87 Telis Athanasopoulos Yogo / Patricia Gerli 3.50 Michelle Lahrkamp / Sammy Pickell 3.34 | 97% | 9–0 (100%) | +0.3 |
| 2 | University of California at Santa Barbara Gauchos | 2 | 9.23 | Quinn Wilson / Chris Kayda 3.23 David Eastwood / Sydney Aguirre 2.88 Lucas Pierce / Samantha Obel 3.08 | 67% | 6–3 (67%) | +0.0 |
| 3 | University of Hawaii Rainbows | 3 | 6.70 school +0.06 | Bastien Rasse / Devon Stapleton 2.68 Samuel Patton / Trey Summers Owen Lahr / Frances Tarpey-Schwed 2.14 | 28% | 2–7 (22%) | −0.6 |
| 4 | University of California at San Diego Tritons | 4 | 5.47 | Nicholas Dorn / Svenja Leonard 1.78 Nigel Lipps / Molly Rowland 1.77 Noah Barton / Blair Caccam 1.69 | 8% | 1–8 (11%) | +0.2 |
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) |
|---|---|---|---|---|---|---|---|---|
| 1 | Stanford University | 11.52 | 14.52 | 9–0 | 8.7 | ≥+3.00 | 0.4 | 73% |
| 4 | University of California at San Diego | 5.47 | 5.84 | 1–8 | 0.8 | +0.37 | 0.1 | 57% |
| 2 | University of California at Santa Barbara | 9.23 | 9.25 | 6–3 | 6.0 | +0.02 | 0.0 | 80% |
| 3 | University of Hawaii | 6.70 | 5.98 | 2–7 | 2.6 | −0.71 | 0.3 | 90% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Telis Athanasopoulos Yogo | Stanford University | 3.50 | 6.50 | 9–0 | 8.7 | ≥+3.00 | 0.4 | 73% |
| Nigel Lipps | University of California at San Diego | 1.77 | 2.13 | 1–8 | 0.8 | +0.37 | 0.1 | 57% |
| Quinn Wilson | University of California at Santa Barbara | 3.23 | 3.25 | 6–3 | 6.0 | +0.02 | 0.0 | 80% |
| Bastien Rasse | University of Hawaii | 2.68 | 1.97 | 2–7 | 2.6 | −0.71 | 0.3 | 90% |
| Samuel Patton | University of Hawaii | 1.60 | 0.88 | 2–7 | 2.6 | −0.71 | 0.3 | 90% |
| Owen Lahr | University of Hawaii | 2.14 | 1.43 | 2–7 | 2.6 | −0.71 | 0.3 | 90% |
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 | Rainbows | Tritons | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 3–0 | ✕ | W | W | W | |
| University of California at Santa Barbara Gauchos | 2–1 | L | ✕ | W | W | |
| University of Hawaii Rainbows | 1–2 | L | L | ✕ | W | |
| University of California at San Diego Tritons | 0–3 | L | L | L | ✕ |
| Team | Rec. | Cardinal | Gauchos | Rainbows | Tritons | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 3–0 | ✕ | W | W | W | |
| University of California at Santa Barbara Gauchos | 2–1 | L | ✕ | W | W | |
| University of Hawaii Rainbows | 1–2 | L | L | ✕ | W | |
| University of California at San Diego Tritons | 0–3 | L | L | L | ✕ |
| Team | Rec. | Cardinal | Gauchos | Rainbows | Tritons | |
|---|---|---|---|---|---|---|
| Stanford University Cardinal | 3–0 | ✕ | W | W | W | |
| University of California at Santa Barbara Gauchos | 2–1 | L | ✕ | W | W | |
| University of Hawaii Rainbows | 0–3 | L | L | ✕ | L | |
| University of California at San Diego Tritons | 1–2 | L | L | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Cardinal | 1-2-3 | def. | Tritons | 4-5-6 | ||
| 2 | Gauchos | 1-2-6 | def. | Rainbows | 3-4-5 | ||
| 3 | Cardinal | 1-3-6 | def. | Gauchos | 2-4-5 | ||
| 4 | Rainbows | 1-2-5 | def. | Tritons | 3-4-6 | ||
| 5 | Gauchos | 1-2-5 | def. | Tritons | 3-4-6 | ||
| 6 | Cardinal | 1-2-5 | def. | Rainbows | 3-4-6 | ||
| 7 | Cardinal | 1-2-3 | def. | Tritons | 4-5-6 | ||
| 8 | Gauchos | 1-2-3 | def. | Rainbows | 4-5-6 | ||
| 9 | Cardinal | 2-3-5 | def. | Gauchos | 1-4-6 | ||
| 10 | Rainbows | 1-2-3 | def. | Tritons | 4-5-6 | ||
| 11 | Gauchos | 1-2-4 | def. | Tritons | 3-5-6 | ||
| 12 | Cardinal | 1-2-3 | def. | Rainbows | 4-5-6 | ||
| 13 | Cardinal | 1-2-3 | def. | Tritons | 4-5-6 | ||
| 14 | Gauchos | 2-3-4 | def. | Rainbows | 1-5-6 | ||
| 15 | Cardinal | 2-3-4 | def. | Gauchos | 1-5-6 | ||
| 16 | Tritons | 2-3-5 | def. | Rainbows | 1-4-6 | ||
| 17 | Gauchos | 1-2-5 | def. | Tritons | 3-4-6 | ||
| 18 | Cardinal | 1-2-5 | def. | Rainbows | 3-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Stanford University | Cardinal | Jack Parkin '21 Michelle Lahrkamp '23 Telis Athanasopoulos Yogo '22 |
Anaclare Sole '23 Sammy Pickell '22 Patricia Gerli '23 |
|
| University of California at Santa Barbara | Gauchos | David Eastwood '22 Lucas Pierce '21 Quinn Wilson '21 |
Sydney Aguirre '22 Samantha Obel '21 Chris Kayda '23 |
|
| University of Hawaii | Rainbows | Bastien Rasse '23 Owen Lahr '23 Samuel Patton '22 |
Devon Stapleton '22 Frances Tarpey-Schwed '23 Trey Summers '24 |
|
| University of California at San Diego | Tritons | Nicholas Dorn '22 Nigel Lipps '21 Noah Barton '23 |
Svenja Leonard '24 Molly Rowland '21 Blair Caccam '21 |
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 ±0.04 means a rating gap counts about 3% 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.