George Washington University '24
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: 39.41 percentile among ICSA crews with 30+ races. Uncertainty ±0.119 rating points from 2 races with rated skippers. Few races, so the estimate stays near the middle.
How crew ratings work →| Season | Team | Rating | Range | League percentile |
Team percentile |
On team | Races | Team page |
|---|---|---|---|---|---|---|---|---|
| Spring 2023 | George Washington University | 1.70 | 52.68 | 30.00 | 4 of 5 | 22 | 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 |
|---|---|---|---|
| 0.71 (fleet 0.97) | unranked (fewer than 30 matches as skipper, or not active) | +0.00 about what the fleet rating predicts |
as crew 50–85 (37%) |
| Season | Regattas | Skipper W–L | Crew W–L |
|---|---|---|---|
| Spring 2023 | 5 | — | 20–30 |
| Spring 2022 | 6 | — | 30–55 |
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 10 graded regattas (134 matches) the record is 50–84 against 45.8 wins the pre-event forecasts expected (+4.2). 3 regattas clearly above the rating (P ≤ 20%), 3 clearly below (P ≥ 80%); 11 bits of surprise in all.
| Date | Regatta | Role | Value | Perf. | Record | Exp. wins |
Δ | Surprise (bits) |
P(this good or better) |
|---|---|---|---|---|---|---|---|---|---|
| 2023-04-15 | MAISA Women’s Team Race Conference Championship | crew | 1.87 | 2.50 | 6–12 | 4.1 | +0.63 | 0.9 | 20% |
| 2023-04-08 | Prosser Trophy - MAISA Open Team Race Championship | crew | 2.54 | 3.03 | 2–5 | 1.4 | +0.49 | 0.2 | 45% |
| 2023-03-25 | Aaron Szambecki Team Race | crew | 2.52 | 2.57 | 6–7 | 5.9 | +0.05 | 0.0 | 59% |
| 2023-03-11 | Graham Hall Team Race | crew | 2.89 | 4.46 | 6–5 | 2.9 | +1.58 | 3.6 | 3% |
| 2022-04-09 | Prosser Trophy MAISA Team Race Championship | crew | 3.02 | 2.82 | 7–13 | 7.8 | −0.20 | 0.1 | 74% |
| 2022-04-02 | MAISA Women's Team Race Championship | crew | 2.42 | 3.16 | 9–5 | 6.6 | +0.74 | 1.3 | 15% |
| 2022-03-26 | Seahawk Women's Team Race InterConference | crew | 2.36 | 2.81 | 8–10 | 6.4 | +0.45 | 0.5 | 27% |
| 2022-03-19 | 2022 Graham Hall Team Race | crew | 3.21 | 0.21 | 0–7 | 2.0 | ≤−3.00 | 3.5 | >99% |
| 2022-03-12 | St. Mary's Team Race InterConference | crew | 3.26 | 2.80 | 3–3 | 3.6 | −0.46 | 0.2 | 84% |
| 2022-02-26 | Phebe Corckran King Women's Team Race | crew | 1.77 | 0.97 | 3–17 | 5.0 | −0.80 | 1.1 | 94% |
| League | Name | School | Year |
|---|---|---|---|
| ISSA | Kaleigh Morgan |  Barrington High School |
'19 |
Short write-ups of what the ratings and results show, with the numbers and how they were computed.
