| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | St. Mary's College of Maryland | Seahawks | 14–1 | |
| 2 | U. S. Naval Academy | Midshipmen | 13–2 | |
| 3 | University of Pennsylvania | Quakers | 5–10 | |
| 4 | Penn State University | Nittany Lions | 5–10 | |
| 5 | Fordham University | Rams | 5–10 | |
| 6 | Princeton University | Tigers | 3–12 |
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 28,305 team race matches sailed before 2026-02-28, using the line-ups that actually raced. It called 34 of 45 matches (76%) with a log-loss of 0.419 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness −0.10 ± 0.26: a typical event, more orderly than 32% 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 | St. Mary's College of Maryland | 8.20 | 10.14 | 14–1 | 11.8 | +1.94 | 2.8 | 7% |
| 6 | Princeton University | 3.73 | 5.28 | 3–12 | 0.8 | +1.55 | 2.8 | 4% |
| 2 | U. S. Naval Academy | 8.84 | 8.45 | 13–2 | 13.5 | −0.39 | 0.2 | 83% |
| 4 | Penn State University | 5.97 | 5.57 | 5–10 | 5.8 | −0.40 | 0.2 | 82% |
| 5 | Fordham University | 6.12 | 5.48 | 5–10 | 6.4 | −0.64 | 0.6 | 90% |
| 3 | University of Pennsylvania | 6.23 | 5.48 | 5–10 | 6.6 | −0.76 | 0.9 | 93% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Seahawks | Midshipmen | Quakers | Lions | Rams | Tigers | |
|---|---|---|---|---|---|---|---|---|
| St. Mary's College of Maryland Seahawks | 5–0 | ✕ | W | W | W | W | W | |
| U. S. Naval Academy Midshipmen | 4–1 | L | ✕ | W | W | W | W | |
| University of Pennsylvania Quakers | 2–3 | L | L | ✕ | W | L | W | |
| Penn State University Nittany Lions | 2–3 | L | L | L | ✕ | W | W | |
| Fordham University Rams | 2–3 | L | L | W | L | ✕ | W | |
| Princeton University Tigers | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Seahawks | Midshipmen | Quakers | Lions | Rams | Tigers | |
|---|---|---|---|---|---|---|---|---|
| St. Mary's College of Maryland Seahawks | 5–0 | ✕ | W | W | W | W | W | |
| U. S. Naval Academy Midshipmen | 4–1 | L | ✕ | W | W | W | W | |
| University of Pennsylvania Quakers | 1–4 | L | L | ✕ | W | L | L | |
| Penn State University Nittany Lions | 2–3 | L | L | L | ✕ | W | W | |
| Fordham University Rams | 1–4 | L | L | W | L | ✕ | L | |
| Princeton University Tigers | 2–3 | L | L | W | L | W | ✕ |
| Team | Rec. | Seahawks | Midshipmen | Quakers | Lions | Rams | Tigers | |
|---|---|---|---|---|---|---|---|---|
| St. Mary's College of Maryland Seahawks | 4–1 | ✕ | L | W | W | W | W | |
| U. S. Naval Academy Midshipmen | 5–0 | W | ✕ | W | W | W | W | |
| University of Pennsylvania Quakers | 2–3 | L | L | ✕ | W | L | W | |
| Penn State University Nittany Lions | 1–4 | L | L | L | ✕ | W | L | |
| Fordham University Rams | 2–3 | L | L | W | L | ✕ | W | |
| Princeton University Tigers | 1–4 | L | L | L | W | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Midshipmen | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 2 | Nittany Lions | 1-2-5 | def. | Rams | 3-4-6 | ||
| 3 | Seahawks | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 4 | Rams | 1-2-6 | def. | Tigers | 3-4-5 | ||
| 5 | Midshipmen | 1-2-4 | def. | Quakers | 3-5-6 | ||
| 6 | Seahawks | 1-2-5 | def. | Nittany Lions | 3-4-6 | ||
| 7 | Quakers | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 8 | Seahawks | 1-2-3 | def. | Rams | 4-5-6 | ||
| 9 | Midshipmen | 1-2-3 | def. | Nittany Lions | 4-5-6 | ||
| 10 | Rams | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 11 | Seahawks | 1-2-6 | def. | Midshipmen | 3-4-5 | ||
| 12 | Nittany Lions | 1-4-5 | def. | Tigers | 2-3-6 | ||
| 13 | Midshipmen | 2-3-4 | def. | Rams | 1-5-6 | ||
| 14 | Quakers | 1-2-6 | def. | Nittany Lions | 3-4-5 | ||
| 15 | Seahawks | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 16 | Midshipmen | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 17 | Nittany Lions | 1-2-6 | def. | Rams | 3-4-5 | ||
| 18 | Seahawks | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 19 | Tigers | 1-3-4 | def. | Rams | 2-5-6 | ||
| 20 | Midshipmen | 1-2-5 | def. | Quakers | 3-4-6 | ||
| 21 | Seahawks | 1-2-5 | def. | Nittany Lions | 3-4-6 | ||
| 22 | Tigers | 1-3-6 | def. | Quakers | 2-4-5 | ||
| 23 | Seahawks | 1-2-5 | def. | Rams | 3-4-6 | ||
| 24 | Midshipmen | 1-2-3 | def. | Nittany Lions | 4-5-6 | ||
| 25 | Rams | 1-2-6 | def. | Quakers | 3-4-5 | ||
| 26 | Seahawks | 2-3-4 | def. | Midshipmen | 1-5-6 | ||
| 27 | Nittany Lions | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 28 | Midshipmen | 1-2-5 | def. | Rams | 3-4-6 | ||
| 29 | Quakers | 1-4-5 | def. | Nittany Lions | 2-3-6 | ||
| 30 | Seahawks | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 31 | Midshipmen | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 32 | Nittany Lions | 1-3-4 | def. | Rams | 2-5-6 | ||
| 33 | Seahawks | 2-3-5 | def. | Quakers | 1-4-6 | ||
| 34 | Rams | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 35 | Midshipmen | 1-2-3 | def. | Quakers | 4-5-6 | ||
| 36 | Seahawks | 1-2-4 | def. | Nittany Lions | 3-5-6 | ||
| 37 | Quakers | 1-3-4 | def. | Tigers | 2-5-6 | ||
| 38 | Seahawks | 1-3-6 | def. | Rams | 2-4-5 | ||
| 39 | Midshipmen | 1-2-3 | def. | Nittany Lions | 4-5-6 | ||
| 40 | Rams | 1-3-5 | def. | Quakers | 2-4-6 | ||
| 41 | Midshipmen | 1-3-5 | def. | Seahawks | 2-4-6 | ||
| 42 | Tigers | 1-3-5 | def. | Nittany Lions | 2-4-6 | ||
| 43 | Midshipmen | 1-2-6 | def. | Rams | 3-4-5 | ||
| 44 | Quakers | 1-2-3 | def. | Nittany Lions | 4-5-6 | ||
| 45 | Seahawks | 1-2-4 | def. | Tigers | 3-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| St. Mary's College of Maryland | Seahawks | Joseph Marynowski '28 Mats Braaten '27 Max Kleha '25 |
Haley Temme '29 Elise Jones '28 Hattie Rigney '26 |
|
| U. S. Naval Academy | Midshipmen | Ava Farley '26 Robert Richards '29 Teddy Martin '27 Umi Noritake '28 |
Eleanor Niehoff '26 Molly Jethwa '28 Jessica Green '29 Haley Kloepfer '29 |
|
| University of Pennsylvania | Quakers | Esme Gonzalez '28 Ian Lent '28 Sadie Yoder '28 |
Janet Fu '27 Amelia Lazarus '29 Lucy Lukens '28 |
|
| Penn State University | Nittany Lions | Barrett Lhamon '26 Claire Sullivan '29 Joseph Murphy '28 |
Ekaterina Kuzmenko '28 Otto Slade '27 Katie Loeper '29 |
|
| Fordham University | Rams | Erickson Rankin '27 Luke Ondrey '29 Mira Herlihy '28 |
Ava Belli '28 Campbell Carr '29 Alana Shigekane '27 |
|
| Princeton University | Tigers | Alex Wszolek '29 Logan Mraz '29 William Roberts '26 |
Larkin Macosko '28 Skyler Marnik '29 Rana Tuttle '29 |
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 ±0.07 means a rating gap counts about 6% more 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.