| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Fordham University | Rams 1 | 17–3 | |
| 2 | Washington College | Shoremen | 16–4 | |
| 3 | Fordham University | Rams 2 | 12–9 | |
| 4 | Columbia University | Lions | 11–9 | |
| 5 | Princeton University | Tigers | 6–15 | |
| 6 | University of Delaware | Blue Hens | 3–17 | |
| 7 | Stevens Institute of Technology | Ducks | 3–18 | |
| 8 | SUNY Stony Brook | Seawolves | 0–21 |
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 28,606 team race matches sailed before 2026-03-07, using the line-ups that actually raced. It called 2 of 3 matches (67%) with a log-loss of 0.662 (a coin flip scores 0.693), so the event went poorly for the forecast. vs forecast is a team's wins minus the wins the model expected from the matches it sailed: positive means it beat its rating.
| Place | School | Pred. | Strength | Boats (skipper / crew, boat value) | Pred. win % | Record | vs forecast |
|---|---|---|---|---|---|---|---|
| 7 | Stevens Institute of Technology Ducks | 1 | -0.33 | Oscar Mcmahan / Nolan Thompson Tristan Feves / Ty Mazzga Luke Saletta / Jack Ceriello | 56% | 2–1 (67%) | +0.3 |
| 8 | SUNY Stony Brook Seawolves | 2 | -0.55 school −0.14 | Jeffrey Rhoads / Khai Hern Low Cassandra Edwards / Avery Connor Sophia Dimont / Ella Musso | 44% | 1–2 (33%) | −0.3 |
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) |
|---|---|---|---|---|---|---|---|---|
| 7 | Stevens Institute of Technology Ducks | -0.33 | 0.14 | 2–1 | 1.7 | +0.47 | 0.1 | 58% |
| 8 | SUNY Stony Brook Seawolves | -0.55 | -1.02 | 1–2 | 1.3 | −0.47 | 0.1 | 83% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Oscar Mcmahan | Stevens Institute of Technology | -0.11 | 0.36 | 2–1 | 1.7 | +0.47 | 0.1 | 58% |
| Tristan Feves | Stevens Institute of Technology | 0.13 | 0.60 | 2–1 | 1.7 | +0.47 | 0.1 | 58% |
| Luke Saletta | Stevens Institute of Technology | -0.54 | -0.07 | 2–1 | 1.7 | +0.47 | 0.1 | 58% |
| Jeffrey Rhoads | SUNY Stony Brook | 0.21 | -0.26 | 1–2 | 1.3 | −0.47 | 0.1 | 83% |
| Cassandra Edwards | SUNY Stony Brook | -0.64 | -1.11 | 1–2 | 1.3 | −0.47 | 0.1 | 83% |
| Sophia Dimont | SUNY Stony Brook | -0.16 | -0.63 | 1–2 | 1.3 | −0.47 | 0.1 | 83% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Rd | # | Winner | Loser | P(winner) | |
|---|---|---|---|---|---|
| 1 | 21 | SUNY Stony Brook Seawolves | Stevens Institute of Technology Ducks | 44% | upset |
| 2 | 49 | Stevens Institute of Technology Ducks | SUNY Stony Brook Seawolves | 56% | |
| 3 | 77 | Stevens Institute of Technology Ducks | SUNY Stony Brook Seawolves | 56% |
| Team | Rec. | 1 | Shoremen | 2 | Lions | Tigers | Hens | Ducks | Seawolves | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fordham University Rams 1 | 12–2 | ✕ | W | ✕ | W | W | W | W | W | |
| Washington College Shoremen | 6–1 | L | ✕ | L | W | W | W | W | W | |
| Fordham University Rams 2 | 12–2 | ✕ | W | ✕ | W | W | W | W | W | |
| Columbia University Lions | 4–3 | L | L | L | ✕ | W | W | W | W | |
| Princeton University Tigers | 3–4 | L | L | L | L | ✕ | W | W | W | |
| University of Delaware Blue Hens | 2–5 | L | L | L | L | L | ✕ | W | W | |
| Stevens Institute of Technology Ducks | 0–7 | L | L | L | L | L | L | ✕ | L | |
| SUNY Stony Brook Seawolves | 1–6 | L | L | L | L | L | L | W | ✕ |
| Team | Rec. | 1 | Shoremen | 2 | Lions | Tigers | Hens | Ducks | Seawolves | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fordham University Rams 1 | 11–3 | ✕ | W | ✕ | W | W | W | W | W | |
| Washington College Shoremen | 6–1 | L | ✕ | L | W | W | W | W | W | |
| Fordham University Rams 2 | 11–3 | ✕ | W | ✕ | W | W | W | W | W | |
| Columbia University Lions | 5–2 | L | L | L | ✕ | W | W | W | W | |
| Princeton University Tigers | 3–4 | L | L | L | L | ✕ | W | W | W | |
| University of Delaware Blue Hens | 1–6 | L | L | L | L | L | ✕ | W | L | |
| Stevens Institute of Technology Ducks | 1–6 | L | L | L | L | L | L | ✕ | W | |
| SUNY Stony Brook Seawolves | 1–6 | L | L | L | L | L | W | L | ✕ |
| Team | Rec. | 1 | Shoremen | 2 | Lions | Tigers | Hens | Ducks | Seawolves | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fordham University Rams 1 | 10–3 | ✕ | L | ✕ | W | W | W | W | W | |
| Washington College Shoremen | 6–0 | W | ✕ | W | W | W | W | W | W | |
| Fordham University Rams 2 | 10–3 | ✕ | L | ✕ | W | W | W | W | W | |
| Columbia University Lions | 4–2 | L | L | L | ✕ | W | – | W | W | |
| Princeton University Tigers | 2–5 | L | L | L | L | ✕ | W | L | W | |
| University of Delaware Blue Hens | 2–4 | L | L | L | – | L | ✕ | W | W | |
| Stevens Institute of Technology Ducks | 2–5 | L | L | L | L | W | L | ✕ | W | |
| SUNY Stony Brook Seawolves | 0–7 | L | L | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Rams 2 | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 2 | Rams 1 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 3 | Blue Hens | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 4 | Shoremen | 1-2-3 | def. | Lions | 4-5-6 | ||
| 5 | Rams 2 | 1-2-3 | def. | Rams 1 | 4-5-6 | ||
| 6 | Tigers | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 7 | Shoremen | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 8 | Lions | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 9 | Rams 1 | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 10 | Shoremen | 1-2-3 | def. | Rams 2 | 4-5-6 | ||
| 11 | Tigers | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 12 | Lions | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 13 | Shoremen | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 14 | Rams 1 | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 15 | Rams 2 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 16 | Lions | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 17 | Shoremen | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 18 | Blue Hens | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 19 | Rams 1 | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 20 | Rams 2 | 1-2-3 | def. | Lions | 4-5-6 | ||
| 21 | Seawolves | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 22 | Shoremen | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 23 | Rams 2 | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 24 | Rams 1 | 1-2-3 | def. | Lions | 4-5-6 | ||
| 25 | Tigers | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 26 | Rams 2 | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 27 | Rams 1 | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 28 | Lions | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 29 | Rams 2 | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 30 | Rams 1 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 31 | Seawolves | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 32 | Shoremen | 1-2-3 | def. | Lions | 4-5-6 | ||
| 33 | Rams 1 | 1-2-3 | def. | Rams 2 | 4-5-6 | ||
| 34 | Tigers | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 35 | Shoremen | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 36 | Lions | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 37 | Rams 1 | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 38 | Shoremen | 1-2-3 | def. | Rams 2 | 4-5-6 | ||
| 39 | Tigers | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 40 | Lions | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 41 | Shoremen | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 42 | Rams 1 | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 43 | Rams 2 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 44 | Lions | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 45 | Shoremen | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 46 | Blue Hens | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 47 | Rams 1 | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 48 | Lions | 1-2-3 | def. | Rams 2 | 4-5-6 | ||
| 49 | Ducks | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 50 | Shoremen | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 51 | Rams 2 | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 52 | Rams 1 | 1-2-3 | def. | Lions | 4-5-6 | ||
| 53 | Tigers | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 54 | Rams 2 | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 55 | Rams 1 | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 56 | Lions | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 57 | Rams 2 | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 58 | Rams 1 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 59 | Blue Hens | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 60 | Shoremen | 1-2-3 | def. | Lions | 4-5-6 | ||
| 61 | Rams 1 | 1-2-3 | def. | Rams 2 | 4-5-6 | ||
| 62 | Tigers | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 63 | Shoremen | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 64 | Lions | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 65 | Rams 1 | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 66 | Shoremen | 1-2-3 | def. | Rams 2 | 4-5-6 | ||
| 67 | Tigers | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 68 | Lions | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 69 | Shoremen | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 70 | Rams 1 | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 71 | Rams 2 | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 72 | Lions | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 73 | Shoremen | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 74 | Blue Hens | 1-2-3 | def. | Ducks | 4-5-6 | ||
| 75 | Rams 1 | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 76 | Lions | 1-2-3 | def. | Rams 2 | 4-5-6 | ||
| 77 | Ducks | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| 78 | Shoremen | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 79 | Rams 2 | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 80 | Rams 1 | 1-2-3 | def. | Lions | 4-5-6 | ||
| 81 | Ducks | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 82 | Rams 2 | 1-2-3 | def. | Seawolves | 4-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Fordham University | Rams 1 | Luke Ondrey '29 Michael Burns '29 |
Alana Shigekane '27 Campbell Carr '29 |
|
| Washington College | Shoremen | Alexander Salzberg '29 Austin Latimer '27 |
Rachel Morgen '26 Soledad Fintel '29 |
|
| Fordham University | Rams 2 | Elfi Van Kuilenburg '29 Jonathan Wittick '29 |
John Bender '29 Payton Buckley '28 |
|
| Columbia University | Lions | Alexander Sau Hang Ching '28 Elizabeth Frost '27 |
Giulio Basilico '27 Alexander Vincenti '26 Raina Jaeggli '28 |
|
| Princeton University | Tigers | John Morgan Griffith '28 Nicholas Lorenzen '27 |
Jayden Cao '29 Alessandro Alfandari '29 |
|
| University of Delaware | Blue Hens | Benjamin Koly '26 Brendan Van Riper '27 |
John Fulkerson '26 Michael Blose '27 |
|
| Stevens Institute of Technology | Ducks | Luke Saletta '28 Oscar Mcmahan '28 Tristan Feves '27 |
Jack Ceriello '27 Nolan Thompson '28 Ty Mazzga '28 |
|
| SUNY Stony Brook | Seawolves | Cassandra Edwards '27 Jeffrey Rhoads '27 Sophia Dimont '27 |
Avery Connor '27 Khai Hern Low '28 Ella Musso '26 |
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 ±0.03 means a rating gap counts about 3% less 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.