| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Boston College | Eagles | 8–2 | |
| 2 | Boston University | Terriers | 8–2 | |
| 3 | Roger Williams University | Hawks | 6–4 | |
| 4 | Tufts University | Jumbos | 4–6 | |
| 5 | Harvard University | Crimson | 3–7 | |
| 6 | Massachusetts Institute of Technology | Engineers | 1–9 |
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 5,978 team race matches sailed before 2015-11-07, using the line-ups that actually raced. It called 25 of 30 matches (83%) with a log-loss of 0.474 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness −0.05 ± 0.33: a typical event, more orderly than 38% 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 | Boston College | 8.35 | 9.39 | 8–2 | 6.4 | +1.05 | 1.1 | 20% |
| 3 | Roger Williams University | 8.14 | 8.19 | 6–4 | 5.9 | +0.04 | 0.0 | 63% |
| 6 | Massachusetts Institute of Technology | 5.60 | 5.64 | 1–9 | 1.0 | +0.04 | 0.0 | 65% |
| 5 | Harvard University | 6.89 | 6.74 | 3–7 | 3.2 | −0.15 | 0.0 | 71% |
| 4 | Tufts University | 7.59 | 7.20 | 4–6 | 4.7 | −0.39 | 0.2 | 82% |
| 2 | Boston University | 9.63 | 8.98 | 8–2 | 8.8 | −0.65 | 0.4 | 90% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Richard Jones | Boston College | 3.32 | 4.37 | 8–2 | 6.4 | +1.05 | 1.1 | 20% |
| Jacob Martz | Boston College | 2.58 | 3.62 | 8–2 | 6.4 | +1.05 | 1.1 | 20% |
| Michael Gemperline | Roger Williams University | 2.69 | 2.73 | 6–4 | 5.9 | +0.04 | 0.0 | 63% |
| James Kennedy | Roger Williams University | 2.64 | 2.68 | 6–4 | 5.9 | +0.04 | 0.0 | 63% |
| Kyle Joba-Woodruff | Massachusetts Institute of Technology | 1.50 | 1.54 | 1–9 | 1.0 | +0.04 | 0.0 | 65% |
| Taylor Gavula | Harvard University | 1.87 | 1.73 | 3–7 | 3.2 | −0.15 | 0.0 | 71% |
| Andrew Puopolo | Harvard University | 2.35 | 2.21 | 3–7 | 3.2 | −0.15 | 0.0 | 71% |
| Brendan Cook | Boston University | 3.40 | 2.75 | 8–2 | 8.8 | −0.65 | 0.4 | 90% |
| Hannah Polster | Boston University | 3.48 | 2.83 | 8–2 | 8.8 | −0.65 | 0.4 | 90% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Eagles | Terriers | Hawks | Jumbos | Crimson | Engineers | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 5–0 | ✕ | W | W | W | W | W | |
| Boston University Terriers | 3–2 | L | ✕ | L | W | W | W | |
| Roger Williams University Hawks | 4–1 | L | W | ✕ | W | W | W | |
| Tufts University Jumbos | 1–4 | L | L | L | ✕ | W | L | |
| Harvard University Crimson | 1–4 | L | L | L | L | ✕ | W | |
| Massachusetts Institute of Technology Engineers | 1–4 | L | L | L | W | L | ✕ |
| Team | Rec. | Eagles | Terriers | Hawks | Jumbos | Crimson | Engineers | |
|---|---|---|---|---|---|---|---|---|
| Boston College Eagles | 3–2 | ✕ | L | W | L | W | W | |
| Boston University Terriers | 5–0 | W | ✕ | W | W | W | W | |
| Roger Williams University Hawks | 2–3 | L | L | ✕ | W | L | W | |
| Tufts University Jumbos | 3–2 | W | L | L | ✕ | W | W | |
| Harvard University Crimson | 2–3 | L | L | W | L | ✕ | W | |
| Massachusetts Institute of Technology Engineers | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Crimson | 1-4-5 | def. | Engineers | 2-3-6 | ||
| 2 | Hawks | 1-3-4 | def. | Terriers | 2-5-6 | ||
| 3 | Eagles | 2-3-4 | def. | Jumbos | 1-5-6 | ||
| 4 | Terriers | 1-3-5 | def. | Crimson | 2-4-6 | ||
| 5 | Engineers | 1-2-6 | def. | Jumbos | 3-4-5 | ||
| 6 | Eagles | 1-3-5 | def. | Hawks | 2-4-6 | ||
| 7 | Terriers | 1-2-3 | def. | Jumbos | 4-5-6 | ||
| 8 | Hawks | 2-3-4 | def. | Crimson | 1-5-6 | ||
| 9 | Eagles | 1-2-3 | def. | Engineers | 4-5-6 | ||
| 10 | Hawks | 1-2-5 | def. | Jumbos | 3-4-6 | ||
| 11 | Terriers | 1-2-5 | def. | Engineers | 3-4-6 | ||
| 12 | Eagles | 1-3-5 | def. | Crimson | 2-4-6 | ||
| 13 | Hawks | 1-2-3 | def. | Engineers | 4-5-6 | ||
| 14 | Jumbos | 2-3-4 | def. | Crimson | 1-5-6 | ||
| 15 | Eagles | 1-2-5 | def. | Terriers | 3-4-6 | ||
| 16 | Terriers | 1-2-3 | def. | Engineers | 4-5-6 | ||
| 17 | Hawks | 1-3-5 | def. | Jumbos | 2-4-6 | ||
| 18 | Eagles | 1-2-3 | def. | Crimson | 4-5-6 | ||
| 19 | Terriers | 1-4-5 | def. | Hawks | 2-3-6 | ||
| 20 | Crimson | 1-2-4 | def. | Engineers | 3-5-6 | ||
| 21 | Jumbos | 1-3-5 | def. | Eagles | 2-4-6 | ||
| 22 | Crimson | 1-3-5 | def. | Hawks | 2-4-6 | ||
| 23 | Terriers | 1-2-6 | def. | Jumbos | 3-4-5 | ||
| 24 | Eagles | 2-3-4 | def. | Engineers | 1-5-6 | ||
| 25 | Jumbos | 2-3-4 | def. | Crimson | 1-5-6 | ||
| 26 | Hawks | 1-2-6 | def. | Engineers | 3-4-5 | ||
| 27 | Terriers | 1-4-5 | def. | Eagles | 2-3-6 | ||
| 28 | Jumbos | 1-2-4 | def. | Engineers | 3-5-6 | ||
| 29 | Terriers | 1-2-6 | def. | Crimson | 3-4-5 | ||
| 30 | Eagles | 1-2-4 | def. | Hawks | 3-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Boston College | Eagles | Caroline Downey '19 Jacob Martz '17 Richard Jones '18 |
Megan Bamford '18 Kendall Van Horne '19 Emily Vasiliou '16 |
|
| Boston University | Terriers | Brendan Cook '16 Charles Welsh '18 Hannah Polster '17 |
Lexi Pline '19 Lily Lichtenstein '18 Hannah Callahan '16 |
|
| Roger Williams University | Hawks | James Kennedy '17 Kelsey Shakin '19 Michael Gemperline '17 |
Hallie Repeta '19 Brigette Croke '17 Tyler Killion '18 |
|
| Tufts University | Jumbos | Jackson Mccoy '19 Logan Russell '19 Molly Pleskus '18 |
Kahler Newsham '19 Ashley Smith '19 Bobby Mclaughlin '17 Lucy Zwigard '18 |
|
| Harvard University | Crimson | Andrew Puopolo '19 Dylan Farrell '18 Taylor Gavula '19 |
Emma Wheeler '17 Christine Gosioco '19 Catherine Tang '19 |
|
| Massachusetts Institute of Technology | Engineers | Kyle Joba-Woodruff '17 Sarah Caso '19 Zachary Hall '18 |
Pavlina Karafillis '17 Sophie Goemans '17 Scarlett Koller '16 |
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% 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.