| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Boston College | Eagles | 9–1 | |
| 2 | Tufts University | Jumbos | 8–2 | |
| 3 | Brown University | Bears | 7–3 | |
| 4 | Bentley University | Falcons | 4–6 | |
| 5 | Brandeis University | Judges | 2–8 | |
| 6 | Fairfield University | Stags | 0–10 |
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 28,084 team race matches sailed before 2025-10-19, using the line-ups that actually raced. It called 18 of 20 matches (90%) with a log-loss of 0.240 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.36 ± 0.71: a typical event, more orderly than 80% 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 | Boston College Eagles | 1 | 8.30 school +0.36 | Ryan Mcgauley / Madeline Torrey 3.46 Aidan Cunningham / Kylie Craig Rogelio Casellas / Paige Roby 2.36 | 83% | 7–1 (88%) | +0.3 |
| 2 | Tufts University Jumbos | 3 | 7.54 school +0.37, home +0.36 | Maria Skouloudi / Stefano Chiampo Crue Ziskind / Cici Priest 2.66 Grant Schmidt / Sarah Leary 2.19 | 69% | 6–2 (75%) | +0.5 |
| 3 | Brown University Bears | 2 | 7.69 school +0.33 | Julian Dahiya / Elena Sun 2.48 Gabby Collins / Phoebe Fogarty 2.58 William Baker / Sasha Gordon | 72% | 5–3 (62%) | −0.8 |
| 4 | Bentley University Falcons | 4 | 2.02 school +0.17 | John O'Connell / Isabel Walchli 1.00 Wilfred Hynes / Maren Daly 0.75 Alejandro Cestero / Grace Kokkotos | 16% | 2–6 (25%) | +0.7 |
| 5 | Brandeis University Judges | 5 | 1.44 | Myles Hazen / Rebecca Yingling 0.91 Joseph Richter / Dominic Qin 0.45 Miles Laker / Jonah Kozioziemski -0.01 | 9% | 0–8 (0%) | −0.7 |
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) |
|---|---|---|---|---|---|---|---|---|
| 4 | Bentley University | 2.02 | 4.02 | 2–6 | 1.3 | +2.01 | 0.9 | 43% |
| 2 | Tufts University | 7.54 | 8.01 | 6–2 | 5.5 | +0.48 | 0.2 | 50% |
| 1 | Boston College | 8.30 | 8.72 | 7–1 | 6.7 | +0.42 | 0.1 | 59% |
| 3 | Brown University | 7.69 | 6.81 | 5–3 | 5.8 | −0.88 | 0.5 | 91% |
| 5 | Brandeis University | 1.44 | -1.56 | 0–8 | 0.7 | ≤−3.00 | 1.2 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| John O'Connell | Bentley University | 1.00 | 3.01 | 2–6 | 1.3 | +2.01 | 0.9 | 43% |
| Wilfred Hynes | Bentley University | 0.75 | 2.76 | 2–6 | 1.3 | +2.01 | 0.9 | 43% |
| Alejandro Cestero | Bentley University | -0.08 | 1.93 | 2–6 | 1.3 | +2.01 | 0.9 | 43% |
| Maria Skouloudi | Tufts University | 1.77 | 2.25 | 6–2 | 5.5 | +0.48 | 0.2 | 50% |
| Aidan Cunningham | Boston College | 2.02 | 2.44 | 7–1 | 6.7 | +0.42 | 0.1 | 59% |
| Joseph Richter | Brandeis University | 0.45 | -2.55 | 0–8 | 0.7 | ≤−3.00 | 1.2 | >99% |
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 | 1 | Brown University | Bentley University | 100% | |
| 1 | 3 | Tufts University | Boston College | 30% | upset |
| 1 | 4 | Bentley University | Brandeis University | 65% | |
| 1 | 5 | Tufts University | Brown University | 45% | upset |
| 1 | 7 | Tufts University | Brandeis University | 100% | |
| 1 | 9 | Boston College | Brown University | 64% | |
| 1 | 11 | Brown University | Brandeis University | 100% | |
| 1 | 12 | Boston College | Bentley University | 100% | |
| 1 | 14 | Tufts University | Bentley University | 100% | |
| 1 | 15 | Boston College | Brandeis University | 100% | |
| 2 | 16 | Boston College | Brown University | 65% | |
| 2 | 17 | Tufts University | Bentley University | 100% | |
| 2 | 19 | Brown University | Tufts University | 53% | |
| 2 | 21 | Bentley University | Brandeis University | 65% | |
| 2 | 23 | Tufts University | Brandeis University | 100% | |
| 2 | 24 | Boston College | Bentley University | 100% | |
| 2 | 26 | Boston College | Brandeis University | 100% | |
| 2 | 27 | Brown University | Bentley University | 100% | |
| 2 | 28 | Boston College | Tufts University | 67% | |
| 2 | 30 | Brown University | Brandeis University | 100% |
| Team | Rec. | Eagles | Jumbos | Bears | Falcons | Judges | Stags | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 4–1 | ✕ | L | W | W | W | W | |
| Tufts University Jumbos | 5–0 | W | ✕ | W | W | W | W | |
| Brown University Bears | 3–2 | L | L | ✕ | W | W | W | |
| Bentley University Falcons | 2–3 | L | L | L | ✕ | W | W | |
| Brandeis University Judges | 1–4 | L | L | L | L | ✕ | W | |
| Fairfield University Stags | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Eagles | Jumbos | Bears | Falcons | Judges | Stags | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 5–0 | ✕ | W | W | W | W | W | |
| Tufts University Jumbos | 3–2 | L | ✕ | L | W | W | W | |
| Brown University Bears | 4–1 | L | W | ✕ | W | W | W | |
| Bentley University Falcons | 2–3 | L | L | L | ✕ | W | W | |
| Brandeis University Judges | 1–4 | L | L | L | L | ✕ | W | |
| Fairfield University Stags | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Bears | 1-2-3 | def. | Falcons | 4-5-6 | ||
| 2 | Judges | 1-4-5 | def. | Stags | 2-3-6 | ||
| 3 | Jumbos | 1-2-6 | def. | Eagles | 3-4-5 | ||
| 4 | Falcons | 1-2-3 | def. | Judges | 4-5-6 | ||
| 5 | Jumbos | 1-2-6 | def. | Bears | 3-4-5 | ||
| 6 | Eagles | 1-2-3 | def. | Stags | 4-5-6 | ||
| 7 | Jumbos | 1-3-4 | def. | Judges | 2-5-6 | ||
| 8 | Falcons | 1-3-4 | def. | Stags | 2-5-6 | ||
| 9 | Eagles | 1-2-6 | def. | Bears | 3-4-5 | ||
| 10 | Jumbos | 1-2-3 | def. | Stags | 4-5-6 | ||
| 11 | Bears | 1-2-3 | def. | Judges | 4-5-6 | ||
| 12 | Eagles | 1-2-4 | def. | Falcons | 3-5-6 | ||
| 13 | Bears | 1-3-4 | def. | Stags | 2-5-6 | ||
| 14 | Jumbos | 1-2-3 | def. | Falcons | 4-5-6 | ||
| 15 | Eagles | 1-2-3 | def. | Judges | 4-5-6 | ||
| 16 | Eagles | 2-3-4 | def. | Bears | 1-5-6 | ||
| 17 | Jumbos | 1-2-3 | def. | Falcons | 4-5-6 | ||
| 18 | Judges | 1-4-5 | def. | Stags | 2-3-6 | ||
| 19 | Bears | 1-2-4 | def. | Jumbos | 3-5-6 | ||
| 20 | Eagles | 1-2-3 | def. | Stags | 4-5-6 | ||
| 21 | Falcons | 1-2-3 | def. | Judges | 4-5-6 | ||
| 22 | Bears | 1-2-5 | def. | Stags | 3-4-6 | ||
| 23 | Jumbos | 1-2-3 | def. | Judges | 4-5-6 | ||
| 24 | Eagles | 1-2-3 | def. | Falcons | 4-5-6 | ||
| 25 | Jumbos | 1-2-3 | def. | Stags | 4-5-6 | ||
| 26 | Eagles | 1-2-3 | def. | Judges | 4-5-6 | ||
| 27 | Bears | 1-2-3 | def. | Falcons | 4-5-6 | ||
| 28 | Eagles | 1-2-6 | def. | Jumbos | 3-4-5 | ||
| 29 | Falcons | 1-3-4 | def. | Stags | 2-5-6 | ||
| 30 | Bears | 1-2-3 | def. | Judges | 4-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Boston College | Eagles | Aidan Cunningham '26 Rogelio Casellas '28 Ryan Mcgauley '27 |
Kylie Craig '28 Paige Roby '26 Madeline Torrey '28 |
|
| Tufts University | Jumbos | Crue Ziskind '29 Grant Schmidt '28 Maria Skouloudi '27 |
Cici Priest '28 Sarah Leary '28 Stefano Chiampo '26 |
|
| Brown University | Bears | Gabby Collins '28 Julian Dahiya '28 William Baker '29 |
Phoebe Fogarty '29 Elena Sun '29 Sasha Gordon '28 |
|
| Bentley University | Falcons | Alejandro Cestero '28 John O'Connell '28 Wilfred Hynes '26 |
Grace Kokkotos '27 Isabel Walchli '28 Maren Daly '29 |
|
| Brandeis University | Judges | Joseph Richter '28 Miles Laker '27 Myles Hazen '26 |
Dominic Qin '27 Jonah Kozioziemski '29 Rebecca Yingling '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 ±0.04 means a rating gap counts about 4% 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.