The Stony Brook School
| Regatta | Type | Finish |
|---|---|---|
| 2026 ISSA Phebe Corckran King Memorial Trophy | Fleet Race | 2 / 20 |
| MASSA 2026 Fleet Championship & Mallory Qualifier | Fleet Race | 7 / 18 |
| MASSA 2026 Girls Showcase | Fleet Race | 1 / 11 |
| MASSA 2026 Team Race Championship/Baker Qualifier | Team Race | 4 / 10 |
| NYISA-SE American YC JV Invite | Fleet Race | 2 / 5 |
| NYISA-SE Ladder Rung Fleet Qualifier | Fleet Race | 1 / 9 |
| NYISA-SE Larchmont Intersectional Regatta | Fleet Race | 3 / 15 |
| NYISA-SE Team Race Qualifier | Team Race | 1 / 4 |
| NYISA-SE spring warm up | Fleet Race | 1 / 5 |
| National Invitational Tournament (Founders Trophy) | Team Race | 2 / 12 |
| Eric Panebianco |
| Leon Li |
| Michael Nett |
| Carla Riedl |
| Carlos Gonzalez |
| Carmen Bermejo-Etcheverria |
| Ian Ainger |
| Arancha Rivero-Ansed |
| Bill Bi |
| Gisele Brandao |
| Jp Panebianco |
| Juliet Nichols |
| Kevin Kelly |
| Nora Beaver |
| David Guo |
| # | Skipper | Rating | League percentile |
Team percentile |
Races |
|---|---|---|---|---|---|
| 1 | Arancha Rivero-Ansed | 3.19 | 97.41 | 92.86 | 57 |
| 2 | Carlos Gonzalez | 2.87 | 95.59 | 78.57 | 39 |
| 3 | Ian Ainger | 1.75 | 84.02 | 64.29 | 18 |
| 4 | Kevin Kelly | 0.83 | 65.17 | 50.00 | 8 |
| 5 | Carla Riedl | 0.75 | 63.36 | 35.71 | 17 |
| 6 | Bill Bi | 0.69 | 61.54 | 21.43 | 4 |
| 7 | Michael Nett | -0.21 | 33.28 | 7.14 | 9 |
Skippers with at least 4 rated boat-races this season, ranked by their rating after their last race of the season. Percentiles count ties as half.
Weekly rating of every skipper on the roster across their whole career so far, one point per week their rating moved. By class year lines every graduating class up at the start of its freshman year, so each class sits one year further left than the one after it. Hover a line to isolate it.
| # | Crew | Rating | Range The dot is the rating. The shaded band is where it plausibly sits (90% range): a wide band means little evidence, and bands that overlap mean the crews cannot be told apart. The dashed line is the team's skipper average. Ratings are on the skipper scale and crews on one team differ far less than skippers do, so use them to compare crews across teams, not to rank within a team. How crew ratings work → |
League percentile |
Team percentile |
Races |
|---|---|---|---|---|---|---|
| 1 | Jp Panebianco | 2.22 | 87.97 | 93.75 | 31 | |
| 2 | Nora Beaver | 1.76 | 82.65 | 81.25 | 35 | |
| 3 | Carla Riedl* | 1.74 | 82.10 | 68.75 | 12 | |
| 4 | Michael Nett* | 1.53 | 77.99 | 56.25 | 8 | |
| 5 | Gisele Brandao | 1.42 | 75.44 | 43.75 | 25 | |
| 6 | Carmen Bermejo-Etcheverria* | 1.18 | 70.57 | 31.25 | 10 | |
| 7 | Juliet Nichols | 1.06 | 67.02 | 18.75 | 17 | |
| 8 | Eric Panebianco | 0.05 | 34.31 | 6.25 | 10 |
| Crew* | Rating | Range The dot is the rating. The shaded band is where it plausibly sits (90% range): a wide band means little evidence, and bands that overlap mean the crews cannot be told apart. The dashed line is the team's skipper average. Ratings are on the skipper scale and crews on one team differ far less than skippers do, so use them to compare crews across teams, not to rank within a team. How crew ratings work → |
Races this season | Career races |
|---|---|---|---|---|
| David Guo* | – | not enough data to rate | 1 | 1 |
Crews are only compared through the skippers they have shared. A skipper's boats do a little better or worse than their rating predicts depending on who is crewing, and the rating is built from those differences. Each big blue dot is a crew on this roster, each small square a skipper they have sailed with, and each line a pairing: blue pushes the crew up, orange pushes them down, thicker means more racing behind it. Click a crew or a skipper.
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Ranked crews have at least 8 races this season; * means low evidence (under 8 races this season, or under 30 career races with rated skippers). Ratings are on the skipper scale (×18.7 the crew effect). League percentile also reflects how strong the team's skippers are.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.
