| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Purdue University | Boilermakers | 11–4 | |
| 2 | University of Wisconsin | Badgers | 11–4 | |
| 3 | University of Michigan | Wolverines | 11–4 | |
| 4 | Northwestern University | Wildcats | 9–6 | |
| 5 | University of Saint Thomas | Tommies | 2–13 | |
| 6 | Marquette University | Golden Eagles | 0–14 |
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 21,185 team race matches sailed before 2023-04-14, using the line-ups that actually raced. It called 36 of 45 matches (80%) with a log-loss of 0.366 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.11 ± 0.27: a typical event, more orderly than 54% 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 | Purdue University | 4.42 | 5.36 | 11–4 | 8.9 | +0.94 | 1.4 | 14% |
| 4 | Northwestern University | 4.05 | 4.57 | 9–6 | 7.8 | +0.52 | 0.5 | 31% |
| 3 | University of Michigan | 5.15 | 5.12 | 11–4 | 11.1 | −0.03 | 0.0 | 66% |
| 6 | Marquette University | 1.44 | 1.05 | 1–14 | 1.4 | −0.39 | 0.1 | 79% |
| 5 | University of Saint Thomas | 2.29 | 1.48 | 2–13 | 3.1 | −0.81 | 0.6 | 91% |
| 2 | University of Wisconsin | 5.79 | 4.91 | 11–4 | 12.8 | −0.88 | 1.2 | 95% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Lukas Diehm | Purdue University | 1.17 | 2.10 | 11–4 | 8.9 | +0.94 | 1.4 | 14% |
| Matthew Beretta | Northwestern University | 1.17 | 1.69 | 9–6 | 7.8 | +0.52 | 0.5 | 31% |
| Nicholas Chesemore | Northwestern University | 1.12 | 1.65 | 9–6 | 7.8 | +0.52 | 0.5 | 31% |
| Eli Erling | Marquette University | 0.49 | 0.09 | 1–14 | 1.4 | −0.39 | 0.1 | 79% |
| Conall Lynch | University of Saint Thomas | -0.25 | -1.06 | 2–13 | 3.1 | −0.81 | 0.6 | 91% |
| Lucas Quinn | University of Wisconsin | 1.80 | 0.92 | 11–4 | 12.8 | −0.88 | 1.2 | 95% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Boilermakers | Badgers | Wolverines | Wildcats | Tommies | Eagles | |
|---|---|---|---|---|---|---|---|---|
| Purdue University Boilermakers | 3–2 | ✕ | W | L | L | W | W | |
| University of Wisconsin Badgers | 3–2 | L | ✕ | L | W | W | W | |
| University of Michigan Wolverines | 5–0 | W | W | ✕ | W | W | W | |
| Northwestern University Wildcats | 3–2 | W | L | L | ✕ | W | W | |
| University of Saint Thomas Tommies | 0–5 | L | L | L | L | ✕ | L | |
| Marquette University Golden Eagles | 1–4 | L | L | L | L | W | ✕ |
| Team | Rec. | Boilermakers | Badgers | Wolverines | Wildcats | Tommies | Eagles | |
|---|---|---|---|---|---|---|---|---|
| Purdue University Boilermakers | 4–1 | ✕ | L | W | W | W | W | |
| University of Wisconsin Badgers | 5–0 | W | ✕ | W | W | W | W | |
| University of Michigan Wolverines | 3–2 | L | L | ✕ | W | W | W | |
| Northwestern University Wildcats | 2–3 | L | L | L | ✕ | W | W | |
| University of Saint Thomas Tommies | 1–4 | L | L | L | L | ✕ | W | |
| Marquette University Golden Eagles | 0–5 | L | L | L | L | L | ✕ |
| Team | Rec. | Boilermakers | Badgers | Wolverines | Wildcats | Tommies | Eagles | |
|---|---|---|---|---|---|---|---|---|
| Purdue University Boilermakers | 4–1 | ✕ | W | W | L | W | W | |
| University of Wisconsin Badgers | 3–2 | L | ✕ | W | L | W | W | |
| University of Michigan Wolverines | 3–2 | L | L | ✕ | W | W | W | |
| Northwestern University Wildcats | 4–1 | W | W | L | ✕ | W | W | |
| University of Saint Thomas Tommies | 1–4 | L | L | L | L | ✕ | W | |
| Marquette University Golden Eagles | 0–5 | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Wildcats | 1-3-6 | def. | Boilermakers | 2-4-5 | ||
| 2 | Wolverines | 1-2-3 | def. | Tommies | 4-5-6 | ||
| 3 | Badgers | 1-2-4 | def. | Golden Eagles | 3-5-6 | ||
| 4 | Wolverines | 1-4-5 | def. | Wildcats | 2-3-6 | ||
| 5 | Boilermakers | 1-2-6 | def. | Badgers | 3-4-5 | ||
| 6 | Golden Eagles | 1-2-5 | def. | Tommies | 3-4-6 | ||
| 7 | Wolverines | 2-3-4 | def. | Badgers | 1-5-6 | ||
| 8 | Wildcats | 1-2-5 | def. | Tommies | 3-4-6 | ||
| 9 | Boilermakers | 1-2-4 | def. | Golden Eagles | 3-5-6 | ||
| 10 | Badgers | 1-2-3 | def. | Tommies | 4-5-6 | ||
| 11 | Wolverines | 1-3-4 | def. | Boilermakers | 2-5-6 | ||
| 12 | Wildcats | 1-2-5 | def. | Golden Eagles | 3-4-6 | ||
| 13 | Boilermakers | 1-2-5 | def. | Tommies | 3-4-6 | ||
| 14 | Badgers | 1-2-3 | def. | Wildcats | 4-5-6 | ||
| 15 | Wolverines | 1-3-5 | def. | Golden Eagles | 2-4-6 | ||
| 16 | Boilermakers | 1-2-4 | def. | Wildcats | 3-5-6 | ||
| 17 | Wolverines | 1-2-3 | def. | Tommies | 4-5-6 | ||
| 18 | Badgers | 1-2-4 | def. | Golden Eagles | 3-5-6 | ||
| 19 | Wolverines | 1-3-4 | def. | Wildcats | 2-5-6 | ||
| 20 | Badgers | 1-2-4 | def. | Boilermakers | 3-5-6 | ||
| 21 | Tommies | 1-3-6 | def. | Golden Eagles | 2-4-5 | ||
| 22 | Badgers | 1-3-5 | def. | Wolverines | 2-4-6 | ||
| 23 | Wildcats | 1-2-6 | def. | Tommies | 3-4-5 | ||
| 24 | Boilermakers | 1-2-5 | def. | Golden Eagles | 3-4-6 | ||
| 25 | Badgers | 1-2-5 | def. | Tommies | 3-4-6 | ||
| 26 | Boilermakers | 2-3-5 | def. | Wolverines | 1-4-6 | ||
| 27 | Wildcats | 2-3-4 | def. | Golden Eagles | 1-5-6 | ||
| 28 | Boilermakers | 1-3-4 | def. | Tommies | 2-5-6 | ||
| 29 | Badgers | 1-2-5 | def. | Wildcats | 3-4-6 | ||
| 30 | Wolverines | 1-3-4 | def. | Golden Eagles | 2-5-6 | ||
| 31 | Wildcats | 1-2-4 | def. | Boilermakers | 3-5-6 | ||
| 32 | Wolverines | 1-2-3 | def. | Tommies | 4-5-6 | ||
| 33 | Badgers | 1-2-3 | def. | Golden Eagles | 4-5-6 | ||
| 34 | Wolverines | 1-3-6 | def. | Wildcats | 2-4-5 | ||
| 35 | Boilermakers | 1-4-5 | def. | Badgers | 2-3-6 | ||
| 36 | Tommies | 1-2-5 | def. | Golden Eagles | 3-4-6 | ||
| 37 | Badgers | 2-3-5 | def. | Wolverines | 1-4-6 | ||
| 38 | Wildcats | 1-2-3 | def. | Tommies | 4-5-6 | ||
| 39 | Boilermakers | 1-2-3 | def. | Golden Eagles | 4-5-6 | ||
| 40 | Badgers | 1-2-3 | def. | Tommies | 4-5-6 | ||
| 41 | Boilermakers | 2-3-4 | def. | Wolverines | 1-5-6 | ||
| 42 | Wildcats | 1-2-3 | def. | Golden Eagles | 4-5-6 | ||
| 43 | Boilermakers | 1-2-4 | def. | Tommies | 3-5-6 | ||
| 44 | Wildcats | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 45 | Wolverines | 1-3-4 | def. | Golden Eagles | 2-5-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Purdue University | Boilermakers | Justin Skene '24 Lukas Diehm '23 Odey Hariri '24 |
Zachary Gold '24 William Bernhardt '25 Nok In Chan '24 |
|
| University of Wisconsin | Badgers | Charlie Herrick '26 Lucas Quinn '23 Reed Weston '23 |
Kerstin Hyer '25 Lauren Bemis '26 Allison Hansen '23 |
|
| University of Michigan | Wolverines | Brody Schwartz '24 Christiana Scheibner '23 Joe Serpa '24 |
Lily Allen '23 Abigail Paul '25 Asha Baddi '24 |
|
| Northwestern University | Wildcats | Matthew Beretta '23 Nicholas Chesemore '27 Nikolas Chambers '23 |
Cora Star '26 Maddie Fitzgerald '26 Aviva Kaplan '24 |
|
| University of Saint Thomas | Tommies | Conall Lynch '24 Greg Bittle '25 Rakesh Dhiman '26 |
Meriah Kirschstein '24 Nisha Kimber '24 Andre Bedros '26 |
|
| Marquette University | Golden Eagles | Eli Erling '26 Jenna Kozal '24 John Riordan '26 |
Zach Sonkin '24 Frannie Lambie '23 Eva Paschke '25 |
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 ±0.15 means a rating gap counts about 13% 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.