| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | University of California at Santa Barbara | Gauchos 1 | 13–0 | |
| 2 | Cal Poly University S.L.O. | Mustang | 7–6 | |
| 3 | California Maritime Academy | Keelhaulers | 8–5 | |
| 4 | University of Southern California | Trojans 2 | 5–8 | |
| 5 | University of California at Berkeley | Bears | 4–6 | |
| 6 | University of Southern California | Trojans 1 | 5–5 | |
| 7 | University of California at Santa Barbara | Gauchos 2 | 3–7 | |
| 8 | University of California at Los Angeles | Bruins | 1–9 |
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 9,224 team race matches sailed before 2018-01-27, using the line-ups that actually raced. It called 31 of 46 matches (67%) with a log-loss of 0.452 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness +0.11 ± 0.36: a typical event, more orderly than 55% 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) |
|---|---|---|---|---|---|---|---|---|
| 1 | University of California at Santa Barbara Gauchos 1 | 10.82 | 13.82 | 13–0 | 12.8 | ≥+3.00 | 0.3 | 82% |
| 3 | California Maritime Academy Keelhaulers | 6.71 | 7.88 | 8–5 | 5.5 | +1.17 | 2.0 | 10% |
| 2 | Cal Poly University S.L.O. Mustang | 6.37 | 7.43 | 7–6 | 4.5 | +1.06 | 1.9 | 10% |
| 5 | University of California at Berkeley Bears | 6.50 | 6.10 | 4–6 | 4.8 | −0.40 | 0.2 | 82% |
| 6 | University of Southern California Trojans 1 | 6.95 | 6.52 | 5–5 | 5.9 | −0.43 | 0.3 | 84% |
| 4 | University of Southern California Trojans 2 | 6.89 | 6.42 | 5–8 | 6.1 | −0.47 | 0.4 | 86% |
| 8 | University of California at Los Angeles Bruins | 5.04 | 4.53 | 1–9 | 1.5 | −0.50 | 0.2 | 82% |
| 7 | University of California at Santa Barbara Gauchos 2 | 6.48 | 5.52 | 3–7 | 4.9 | −0.96 | 1.3 | 95% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | 1 | Mustang | Keelhaulers | 2 | Bears | 1 | 2 | Bruins | |
|---|---|---|---|---|---|---|---|---|---|---|
| University of California at Santa Barbara Gauchos 1 | 13–7 | ✕ | W | W | L | L | L | ✕ | W | |
| Cal Poly University S.L.O. Mustang | 5–5 | L | ✕ | W | L | W | L | L | W | |
| California Maritime Academy Keelhaulers | 7–3 | L | L | ✕ | W | W | W | L | W | |
| University of Southern California Trojans 2 | 10–10 | W | W | L | ✕ | L | ✕ | W | W | |
| University of California at Berkeley Bears | 4–6 | W | L | L | W | ✕ | W | W | L | |
| University of Southern California Trojans 1 | 10–10 | W | W | L | ✕ | L | ✕ | W | W | |
| University of California at Santa Barbara Gauchos 2 | 13–7 | ✕ | W | W | L | L | L | ✕ | W | |
| University of California at Los Angeles Bruins | 1–9 | L | L | L | L | W | L | L | ✕ |
| Team | Rec. | 1 | Mustang | Keelhaulers | 2 | 1 | 2 | |
|---|---|---|---|---|---|---|---|---|
| University of California at Santa Barbara Gauchos 1 | 3–0 | ✕ | W | W | W | W | ✕ | |
| Cal Poly University S.L.O. Mustang | 2–1 | L | ✕ | W | W | W | L | |
| California Maritime Academy Keelhaulers | 1–2 | L | L | ✕ | W | W | L | |
| University of Southern California Trojans 2 | 0–3 | L | L | L | ✕ | ✕ | L | |
| University of Southern California Trojans 1 | 0–3 | L | L | L | ✕ | ✕ | L | |
| University of California at Santa Barbara Gauchos 2 | 3–0 | ✕ | W | W | W | W | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Mustang | 1-2-6 | def. | Gauchos 2 | 3-4-5 | ||
| 2 | Gauchos 1 | 1-2-5 | def. | Bruins | 3-4-6 | ||
| 3 | Keelhaulers | 1-2-4 | def. | Bears | 3-5-6 | ||
| 4 | Trojans 1 | 1-2-5 | def. | Trojans 2 | 3-4-6 | ||
| 5 | Gauchos 1 | 1-2-3 | def. | Bears | 4-5-6 | ||
| 6 | Keelhaulers | 1-2-3 | def. | Bruins | 4-5-6 | ||
| 7 | Mustang | 1-2-4 | def. | Trojans 1 | 3-5-6 | ||
| 8 | Gauchos 2 | 1-2-6 | def. | Bruins | 3-4-5 | ||
| 9 | Keelhaulers | 2-3-4 | def. | Trojans 2 | 1-5-6 | ||
| 10 | Gauchos 1 | 1-2-3 | def. | Mustang | 4-5-6 | ||
| 11 | Trojans 1 | 1-2-5 | def. | Gauchos 2 | 3-4-6 | ||
| 12 | Trojans 2 | 1-2-5 | def. | Bears | 3-4-6 | ||
| 13 | Gauchos 1 | 1-2-5 | def. | Gauchos 2 | 3-4-6 | ||
| 14 | Keelhaulers | 2-3-4 | def. | Mustang | 1-5-6 | ||
| 15 | Bears | 1-2-5 | def. | Bruins | 3-4-6 | ||
| 16 | Gauchos 1 | 1-2-5 | def. | Keelhaulers | 3-4-6 | ||
| 17 | Bears | 1-2-3 | def. | Trojans 1 | 4-5-6 | ||
| 18 | Trojans 2 | 1-2-3 | def. | Bruins | 4-5-6 | ||
| 19 | Keelhaulers | 1-2-5 | def. | Trojans 1 | 3-4-6 | ||
| 20 | Mustang | 1-2-3 | def. | Bruins | 4-5-6 | ||
| 21 | Trojans 2 | 1-2-3 | def. | Gauchos 2 | 4-5-6 | ||
| 22 | Trojans 1 | 2-3-4 | def. | Bruins | 1-5-6 | ||
| 23 | Gauchos 1 | 1-2-3 | def. | Trojans 2 | 4-5-6 | ||
| 24 | Gauchos 2 | 1-3-6 | def. | Bears | 2-4-5 | ||
| 25 | Trojans 2 | 1-2-4 | def. | Mustang | 3-5-6 | ||
| 26 | Keelhaulers | 1-2-3 | def. | Gauchos 2 | 4-5-6 | ||
| 27 | Gauchos 1 | 1-2-6 | def. | Trojans 1 | 3-4-5 | ||
| 28 | Mustang | 1-2-5 | def. | Bears | 3-4-6 | ||
| 29 | Keelhaulers | 1-2-6 | def. | Trojans 2 | 3-4-5 | ||
| 30 | Gauchos 1 | 1-2-4 | def. | Mustang | 3-5-6 | ||
| 31 | Mustang | 1-2-6 | def. | Keelhaulers | 3-4-5 | ||
| 32 | Gauchos 1 | 1-2-6 | def. | Trojans 2 | 3-4-5 | ||
| 33 | Trojans 2 | 2-3-4 | def. | Mustang | 1-5-6 | ||
| 34 | Gauchos 1 | 1-2-5 | def. | Keelhaulers | 3-4-6 | ||
| 35 | Trojans 1 | 1-3-4 | def. | Gauchos 2 | 2-5-6 | ||
| 36 | Bruins | 1-3-5 | def. | Bears | 2-4-6 | ||
| 37 | Bears | 1-4-5 | def. | Trojans 1 | 2-3-6 | ||
| 38 | Gauchos 2 | 2-3-4 | def. | Bruins | 1-5-6 | ||
| 39 | Trojans 1 | 1-2-6 | def. | Bruins | 3-4-5 | ||
| 40 | Bears | 1-2-4 | def. | Gauchos 2 | 3-5-6 | ||
| 41 | Keelhaulers | 1-2-3 | def. | Trojans 2 | 4-5-6 | ||
| 42 | Gauchos 1 | 1-2-6 | def. | Mustang | 3-4-5 | ||
| 43 | Mustang | 1-3-6 | def. | Keelhaulers | 2-4-5 | ||
| 44 | Gauchos 1 | 1-2-6 | def. | Trojans 2 | 3-4-5 | ||
| 45 | Mustang | 1-3-4 | def. | Trojans 2 | 2-5-6 | ||
| 46 | Gauchos 1 | 1-2-5 | def. | Keelhaulers | 3-4-6 | ||
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.