| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | University of Michigan | Wolverines | 11–2 | |
| 2 | SUNY Maritime College | Privateers | 10–3 | |
| 3 | Fordham University | Rams | 9–4 | |
| 4 | Washington College | Shoremen | 4–9 | |
| 5 | Villanova University | Wildcats | 0–10 | |
| 6 | University of Delaware | Blue Hens | 0–0 |
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 28,966 team race matches sailed before 2026-03-14, using the line-ups that actually raced. It called 14 of 18 matches (78%) with a log-loss of 0.388 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.00 ± 0.41: a typical event, more orderly than 42% 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.
| Place | School | Pred. | Strength | Boats (skipper / crew, boat value) | Pred. win % | Record | vs forecast |
|---|---|---|---|---|---|---|---|
| 1 | University of Michigan Wolverines | 1 | 6.18 | Jack Homa / Alexander Reynolds 2.00 Lorenzo Puertas / Grace Redner Jack Hammett / Ben Visco 1.63 | 85% | 7–2 (78%) | −0.7 |
| 2 | SUNY Maritime College Privateers | 3 | 4.55 school −0.11 | Nathaniel Hartwell / Rj Calanese Jeremy Lunati / Michael Saharov 1.24 Luke Barker / Andrew Mccarthy 1.59 | 48% | 6–3 (67%) | +1.7 |
| 3 | Fordham University Rams | 2 | 5.09 home +0.38 | Luke Ondrey / Emilia Murat 1.66 Michael Burns / Campbell Carr Jonathan Wittick / Payton Buckley | 61% | 5–4 (56%) | −0.5 |
| 4 | Washington College Shoremen | 4 | 2.27 school −0.10 | Alexander Salzberg / Rachel Morgen Austin Latimer / Soledad Fintel 0.70 George Wood / Ethan Rower 0.20 | 5% | 0–9 (0%) | −0.5 |
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) |
|---|---|---|---|---|---|---|---|---|
| 2 | SUNY Maritime College | 4.55 | 5.69 | 6–3 | 4.3 | +1.14 | 1.4 | 15% |
| 3 | Fordham University | 5.09 | 4.75 | 5–4 | 5.5 | −0.35 | 0.1 | 80% |
| 1 | University of Michigan | 6.18 | 5.63 | 7–2 | 7.7 | −0.56 | 0.3 | 87% |
| 4 | Washington College | 2.27 | -0.73 | 0–9 | 0.5 | ≤−3.00 | 0.7 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Nathaniel Hartwell | SUNY Maritime College | 1.65 | 2.79 | 6–3 | 4.3 | +1.14 | 1.4 | 15% |
| Jeremy Lunati | SUNY Maritime College | 1.24 | 2.38 | 6–3 | 4.3 | +1.14 | 1.4 | 15% |
| Luke Barker | SUNY Maritime College | 1.59 | 2.73 | 6–3 | 4.3 | +1.14 | 1.4 | 15% |
| Luke Ondrey | Fordham University | 1.66 | 1.31 | 5–4 | 5.5 | −0.35 | 0.1 | 80% |
| Michael Burns | Fordham University | 1.46 | 1.12 | 5–4 | 5.5 | −0.35 | 0.1 | 80% |
| Jonathan Wittick | Fordham University | 1.36 | 1.01 | 5–4 | 5.5 | −0.35 | 0.1 | 80% |
| Jack Homa | University of Michigan | 2.00 | 1.44 | 7–2 | 7.7 | −0.56 | 0.3 | 87% |
| Lorenzo Puertas | University of Michigan | 2.40 | 1.84 | 7–2 | 7.7 | −0.56 | 0.3 | 87% |
| Jack Hammett | University of Michigan | 1.63 | 1.07 | 7–2 | 7.7 | −0.56 | 0.3 | 87% |
| Alexander Salzberg | Washington College | 1.20 | -1.80 | 0–9 | 0.5 | ≤−3.00 | 0.7 | >99% |
| Austin Latimer | Washington College | 0.70 | -2.30 | 0–9 | 0.5 | ≤−3.00 | 0.7 | >99% |
| George Wood | Washington College | 0.20 | -2.80 | 0–9 | 0.5 | ≤−3.00 | 0.7 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Wolverines | Privateers | Rams | Shoremen | Wildcats | Hens | |
|---|---|---|---|---|---|---|---|---|
| University of Michigan Wolverines | 5–0 | ✕ | W | W | W | W | W | |
| SUNY Maritime College Privateers | 4–1 | L | ✕ | W | W | W | W | |
| Fordham University Rams | 3–2 | L | L | ✕ | W | W | W | |
| Washington College Shoremen | 2–3 | L | L | L | ✕ | W | W | |
| Villanova University Wildcats | 1–4 | L | L | L | L | ✕ | W | |
| University of Delaware Blue Hens | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Wolverines | Privateers | Rams | Shoremen | Wildcats | Hens | |
|---|---|---|---|---|---|---|---|---|
| University of Michigan Wolverines | 5–0 | ✕ | W | W | W | W | W | |
| SUNY Maritime College Privateers | 4–1 | L | ✕ | W | W | W | W | |
| Fordham University Rams | 3–2 | L | L | ✕ | W | W | W | |
| Washington College Shoremen | 2–3 | L | L | L | ✕ | W | W | |
| Villanova University Wildcats | 1–4 | L | L | L | L | ✕ | W | |
| University of Delaware Blue Hens | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Wolverines | Privateers | Rams | Shoremen | |
|---|---|---|---|---|---|---|
| University of Michigan Wolverines | 1–2 | ✕ | L | L | W | |
| SUNY Maritime College Privateers | 2–1 | W | ✕ | L | W | |
| Fordham University Rams | 3–0 | W | W | ✕ | W | |
| Washington College Shoremen | 0–3 | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Privateers | 1-2-6 | def. | Rams | 3-4-5 | ||
| 2 | Wolverines | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 3 | Shoremen | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 4 | Wolverines | 1-2-6 | def. | Rams | 3-4-5 | ||
| 5 | Privateers | 1-2-6 | def. | Shoremen | 3-4-5 | ||
| 6 | Wildcats | 1-2-3 DNS | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 7 | Rams | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 8 | Wolverines | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 9 | Privateers | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 10 | Wolverines | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 11 | Privateers | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 12 | Rams | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 13 | Wolverines | 1-2-6 | def. | Privateers | 3-4-5 | ||
| 14 | Shoremen | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 15 | Rams | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 16 | Privateers | 1-4-5 | def. | Rams | 2-3-6 | ||
| 17 | Wolverines | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 18 | Shoremen | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 19 | Wolverines | 1-2-6 | def. | Rams | 3-4-5 | ||
| 20 | Privateers | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 21 | Shoremen | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 22 | Rams | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 23 | Wolverines | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 24 | Privateers | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 25 | Wolverines | 1-2-3 | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 26 | Privateers | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 27 | Rams | 1-2-3 | def. | Wildcats | 4-5-6 DNS | ||
| 28 | Wolverines | 1-2-6 | def. | Privateers | 3-4-5 | ||
| 29 | Wildcats | 1-2-3 DNS | def. | Blue Hens | 4-5-6 DNS,DNS,DNS | ||
| 30 | Rams | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 31 | Rams | 2-3-4 | def. | Privateers | 1-5-6 | ||
| 32 | Wolverines | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 33 | Privateers | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 34 | Rams | 1-2-5 | def. | Wolverines | 3-4-6 | ||
| 35 | Rams | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 36 | Privateers | 1-4-5 | def. | Wolverines | 2-3-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| University of Michigan | Wolverines | Jack Hammett '26 Jack Homa '27 Lorenzo Puertas '29 |
Ben Visco '28 Alexander Reynolds '28 Grace Redner '27 |
|
| SUNY Maritime College | Privateers | Jeremy Lunati '27 Luke Barker '28 Nathaniel Hartwell '28 |
Michael Saharov '28 Andrew Mccarthy '28 Rj Calanese '29 |
|
| Fordham University | Rams | Jonathan Wittick '29 Luke Ondrey '29 Michael Burns '29 |
Payton Buckley '28 Emilia Murat '28 Campbell Carr '29 |
|
| Washington College | Shoremen | Alexander Salzberg '29 Austin Latimer '27 George Wood '27 |
Rachel Morgen '26 Soledad Fintel '29 Ethan Rower '28 |
|
| Villanova University | Wildcats | Julia Gordon '27 Reese Schultz '29 |
Ava Mcnabb '28 Jonah Fish '28 |
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 ±0.00 means a rating gap counts about 1% 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.