Grosse Pointe South High School '20
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: 90.43 percentile among ICSA crews with 30+ races. Uncertainty ±0.092 rating points from 185 races with rated skippers.
How crew ratings work →Includes linked high school and college seasons.
| Season | Team | Rating | Range | League percentile |
Team percentile |
On team | Races | Team page |
|---|---|---|---|---|---|---|---|---|
| Spring 2025 | Marquette University | 1.39 | 52.28 | 90.00 | 1 of 5 | 10 | Team page | |
| Fall 2024 | Marquette University | 1.48 | 52.40 | 75.00 | 2 of 6 | 20 | Team page | |
| Spring 2024 | Marquette University | 1.64 | 55.80 | 92.86 | 1 of 7 | 19 | Team page | |
| Fall 2023 | Marquette University | 1.70 | 55.11 | 90.00 | 1 of 5 | 12 | Team page | |
| Fall 2022 | Marquette University | 1.57 | 51.69 | 92.86 | 1 of 7 | 29 | 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 |
|---|---|---|---|
| 0.12 (fleet 0.19) | unranked (fewer than 30 matches as skipper, or not active) | −0.00 ± 0.18 about what the fleet rating predicts |
as skipper 2–3 (40%) as crew 27–22 (55%) |
| Season | Regattas | Skipper W–L | Crew W–L |
|---|---|---|---|
| Fall 2019 | 1 | — | 4–5 |
| Spring 2019 | 1 | — | 6–1 |
| Fall 2018 | 1 | — | 5–2 |
| Spring 2018 | 2 | — | 5–10 |
| Fall 2017 | 1 | — | 7–2 |
| Spring 2017 | 2 | 2–3 | 0–2 |
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 7 graded regattas (52 matches) the record is 29–23 against 28.1 wins the pre-event forecasts expected (+0.9). 2 regattas clearly above the rating (P ≤ 20%), 2 clearly below (P ≥ 80%); 10 bits of surprise in all.
| Date | Regatta | Role | Value | Perf. | Record | Exp. wins |
Δ | Surprise (bits) |
P(this good or better) |
|---|---|---|---|---|---|---|---|---|---|
| 2019-10-06 | Lake St. Clair Classic Fall Team Race | crew | 1.27 | 0.94 | 4–5 | 4.4 | −0.33 | 0.1 | 77% |
| 2019-05-18 | Lake St. Clair Classic Team Race Regatta | crew | 1.00 | 3.33 | 6–1 | 4.2 | +2.32 | 2.2 | 11% |
| 2018-10-07 | Tango on the Lake Team Race | crew | 0.53 | 1.55 | 5–2 | 4.0 | +1.02 | 0.6 | 34% |
| 2018-05-19 | GPS Team Race | crew | 1.04 | -1.96 | 0–4 | 2.0 | ≤−3.00 | 3.9 | >99% |
| 2018-03-24 | Spring Chill Team Race | crew | 1.25 | 0.24 | 5–6 | 6.6 | −1.02 | 0.9 | 94% |
| 2017-10-21 | 2017 GPS Fall Team Race Regatta | crew | 0.73 | 2.46 | 7–2 | 5.0 | +1.73 | 1.9 | 12% |
| 2017-04-15 | Grosse Pointe South Team Race Regatta | skipper | 0.28 | 0.32 | 2–3 | 2.0 | +0.04 | 0.0 | 70% |
| League | Name | School | Year |
|---|---|---|---|
| ICSA | Eva Paschke |  Marquette University |
'25 |
Short write-ups of what the ratings and results show, with the numbers and how they were computed.
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