Harvard University '23
How much better or worse boats do with this sailor crewing than their skipper's rating predicts, shown on the skipper scale so crews can be lined up across teams. Percentiles compare against rostered crews that season (league) or teammates (team).
How crew ratings work →Crew effect over their whole career, not scaled to a team: 68.53 percentile among ICSA crews with 30+ races. Uncertainty ±0.084 rating points from 349 races with rated skippers.
How crew ratings work →| Season | Team | Rating | Range | League percentile |
Team percentile |
On team | Races | Team page |
|---|---|---|---|---|---|---|---|---|
| Spring 2023 | Harvard University | 4.01 | 90.32 | 77.27 | 3 of 11 | 25 | Team page |
A team race rating is what the sailor brings to one of the three boats: 0.72 x their fleet rating plus a team-race offset learned from every match they sailed, shrunk toward zero so a few matches cannot move it far. Sides are compared by the sum of their three boats plus the school's team race strength.
| Rating | Rank | vs fleet rating | Record |
|---|---|---|---|
| 0.72 (fleet 0.99) | unranked (fewer than 30 matches as skipper, or not active) | +0.00 about what the fleet rating predicts |
as crew 119–104 (53%) |
| Season | Regattas | Skipper W–L | Crew W–L |
|---|---|---|---|
| Spring 2023 | 7 | — | 48–35 |
| Spring 2022 | 7 | — | 59–49 |
| Spring 2020 | 2 | — | 12–20 |
For each regatta, the boat value that would have made this sailor's record least surprising: the shift applied to their boat alone, in the matches they sailed, with team-mates and opponents fixed at the pre-event forecast. A boat's skipper and crew share the boat, so they get the same number when they sailed every match together. Surprise is in bits at the pre-event value minus at the performance value; P(this good or better) treats the matches as independent at the forecast probabilities. Regattas forecast from fewer than 1,000 training matches are left out.
Over 16 graded regattas (223 matches) the record is 119–104 against 129.6 wins the pre-event forecasts expected (−10.6). 0 regattas clearly above the rating (P ≤ 20%), 7 clearly below (P ≥ 80%); 15 bits of surprise in all.
| Date | Regatta | Role | Value | Perf. | Record | Exp. wins |
Δ | Surprise (bits) |
P(this good or better) |
|---|---|---|---|---|---|---|---|---|---|
| 2023-04-29 | Women's Team Race National Championship | crew | 2.98 | 2.14 | 3–6 | 4.3 | −0.85 | 0.8 | 92% |
| 2023-04-15 | NEISA Women's Team Racing Championship | crew | 2.99 | 1.33 | 4–9 | 8.1 | −1.66 | 4.6 | >99% |
| 2023-04-01 | Dellenbaugh Women's Team Race Trophy | crew | 3.03 | 2.04 | 5–6 | 7.1 | −1.00 | 1.5 | 97% |
| 2023-03-25 | Duplin Women’s TR | crew | 3.00 | 2.89 | 10–5 | 10.3 | −0.11 | 0.0 | 69% |
| 2023-03-18 | Ivan Geiger Team Race | crew | 2.97 | 3.03 | 13–4 | 12.8 | +0.06 | 0.0 | 60% |
| 2023-03-11 | St. Mary's Women's Team Race | crew | 2.91 | 2.58 | 7–4 | 7.5 | −0.34 | 0.1 | 81% |
| 2023-03-05 | Harvard Women's Team Race | crew | 3.06 | 3.85 | 6–1 | 5.3 | +0.79 | 0.4 | 44% |
| 2022-04-23 | Women's Team Race National Championship | crew | 2.92 | 2.71 | 7–9 | 7.6 | −0.22 | 0.1 | 74% |
| 2022-04-09 | Camel Women's Team Race | crew | 2.81 | 2.87 | 11–8 | 10.8 | +0.06 | 0.0 | 57% |
| 2022-04-02 | NEISA Women's Team Race Champs/Dellenbaugh Trophy | crew | 2.76 | 2.96 | 11–10 | 10.2 | +0.21 | 0.1 | 43% |
| 2022-03-26 | Joseph R. Duplin Trophy | crew | 2.79 | 3.40 | 10–3 | 8.8 | +0.61 | 0.5 | 32% |
| 2022-03-19 | Team Race Invite | crew | 2.91 | 2.34 | 9–8 | 10.8 | −0.57 | 0.7 | 91% |
| 2022-03-12 | The Wood Trophy | crew | 2.93 | 1.54 | 3–4 | 4.4 | −1.39 | 1.4 | 97% |
| 2022-03-05 | Women's Team Race at Harvard-MIT | crew | 2.84 | 3.15 | 8–7 | 7.0 | +0.31 | 0.2 | 39% |
| 2020-03-07 | MIT FJ Team Racing Invite | crew | 2.57 | 1.43 | 8–12 | 12.2 | −1.14 | 3.4 | 99% |
| 2020-02-29 | Hap Moore Trophy | crew | 2.20 | 2.97 | 4–8 | 2.5 | +0.77 | 0.9 | 21% |
| League | Name | School | Year |
|---|---|---|---|
| ISSA | Corinne Lee |  Duxbury High School |
'19 |
Short write-ups of what the ratings and results show, with the numbers and how they were computed.
