| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | U. S. Naval Academy | Midshipmen | 14–1 | |
| 2 | St. Mary's College of Maryland | Seahawks | 11–4 | |
| 3 | Washington College | Shoremen | 8–7 | |
| 4 | Princeton University | Tigers | 7–8 | |
| 5 | Florida Institute of Technology | Panthers | 6–6 | |
| 6 | Drexel University | Dragons | 1–10 | |
| 7 | University of Delaware | Blue Hens | 0–11 |
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 19,057 team race matches sailed before 2023-03-04, using the line-ups that actually raced. It called 44 of 48 matches (92%) with a log-loss of 0.283 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.14 ± 0.26: a typical event, more orderly than 58% 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) |
|---|---|---|---|---|---|---|---|---|
| 5 | Florida Institute of Technology | 3.56 | 4.77 | 6–6 | 4.4 | +1.21 | 1.5 | 14% |
| 1 | U. S. Naval Academy | 7.57 | 7.83 | 14–1 | 13.7 | +0.26 | 0.0 | 64% |
| 2 | St. Mary's College of Maryland | 6.34 | 6.27 | 11–4 | 11.1 | −0.07 | 0.0 | 70% |
| 4 | Princeton University | 4.94 | 4.73 | 7–8 | 7.4 | −0.21 | 0.1 | 74% |
| 3 | Washington College | 5.33 | 5.09 | 8–7 | 8.5 | −0.24 | 0.1 | 76% |
| 6 | Drexel University | 2.14 | 1.75 | 2–10 | 2.3 | −0.39 | 0.1 | 83% |
| 7 | University of Delaware | 0.67 | -2.33 | 0–12 | 0.5 | ≤−3.00 | 0.8 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Bryan Lawrence | Princeton University | 1.12 | 4.12 | 4–0 | 3.8 | ≥+3.00 | 0.3 | 81% |
| Brendan Smucker | Florida Institute of Technology | 1.50 | 2.70 | 6–6 | 4.4 | +1.21 | 1.5 | 14% |
| Brandon Depalma | Florida Institute of Technology | 0.74 | 1.94 | 6–6 | 4.4 | +1.21 | 1.5 | 14% |
| Tanner Kelly | U. S. Naval Academy | 2.50 | 2.76 | 14–1 | 13.7 | +0.26 | 0.0 | 64% |
| Carly Mraz | Princeton University | 0.57 | 0.65 | 4–7 | 3.9 | +0.08 | 0.0 | 60% |
| Max Kleha | St. Mary's College of Maryland | 1.56 | 1.48 | 11–4 | 11.1 | −0.07 | 0.0 | 70% |
| Connor Mraz | Princeton University | 2.61 | 2.40 | 7–8 | 7.4 | −0.21 | 0.1 | 74% |
| Joseph Bonacci | Washington College | 1.41 | 1.17 | 8–7 | 8.5 | −0.24 | 0.1 | 76% |
| Jonathan Kelly | Washington College | 1.03 | 0.79 | 8–7 | 8.5 | −0.24 | 0.1 | 76% |
| Asher Green | Princeton University | 1.70 | 1.36 | 5–8 | 5.6 | −0.34 | 0.1 | 79% |
| Yanni Tsetsekos | Drexel University | 0.01 | -0.38 | 2–10 | 2.3 | −0.39 | 0.1 | 83% |
| Pearce Bragaw | University of Delaware | 0.26 | -2.74 | 0–12 | 0.5 | ≤−3.00 | 0.8 | >99% |
| Tamryn Whyte | University of Delaware | -0.28 | -3.28 | 0–12 | 0.5 | ≤−3.00 | 0.8 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Midshipmen | Seahawks | Shoremen | Tigers | Panthers | Dragons | Hens | |
|---|---|---|---|---|---|---|---|---|---|
| U. S. Naval Academy Midshipmen | 5–1 | ✕ | W | W | L | W | W | W | |
| St. Mary's College of Maryland Seahawks | 4–2 | L | ✕ | W | L | W | W | W | |
| Washington College Shoremen | 4–2 | L | L | ✕ | W | W | W | W | |
| Princeton University Tigers | 4–2 | W | W | L | ✕ | L | W | W | |
| Florida Institute of Technology Panthers | 3–3 | L | L | L | W | ✕ | W | W | |
| Drexel University Dragons | 1–5 | L | L | L | L | L | ✕ | W | |
| University of Delaware Blue Hens | 0–6 | L | L | L | L | L | L | ✕ |
| Team | Rec. | Midshipmen | Seahawks | Shoremen | Tigers | Panthers | Dragons | Hens | |
|---|---|---|---|---|---|---|---|---|---|
| U. S. Naval Academy Midshipmen | 9–0 | ✕ | W | W | W | W | W | W | |
| St. Mary's College of Maryland Seahawks | 7–2 | L | ✕ | W | W | W | W | W | |
| Washington College Shoremen | 4–5 | L | L | ✕ | W | L | W | W | |
| Princeton University Tigers | 3–6 | L | L | L | ✕ | W | W | W | |
| Florida Institute of Technology Panthers | 3–3 | L | L | W | L | ✕ | W | W | |
| Drexel University Dragons | 1–5 | L | L | L | L | L | ✕ | W | |
| University of Delaware Blue Hens | 0–6 | L | L | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Midshipmen | 1-2-3 | def. | Panthers | 4-5-6 | ||
| 2 | Tigers | 1-3-4 | def. | Dragons | 2-5-6 DNF | ||
| 3 | Seahawks | 1-2-3 | def. | Blue Hens | 4-5-6 DNF | ||
| 4 | Shoremen | 1-2-4 | def. | Panthers | 3-5-6 | ||
| 5 | Midshipmen | 1-2-3 | def. | Dragons | 4-5-6 DNF,DNF | ||
| 6 | Tigers | 1-2-5 | def. | Blue Hens | 3-4-6 DNF | ||
| 7 | Seahawks | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 8 | Panthers | 1-2-3 | def. | Dragons | 4-5-6 | ||
| 9 | Midshipmen | 1-2-3 | def. | Blue Hens | 4-5-6 DNF | ||
| 10 | Tigers | 1-3-6 | def. | Seahawks | 2-4-5 DSQ | ||
| 11 | Shoremen | 1-2-3 | def. | Dragons | 4-5-6 | ||
| 12 | Panthers | 1-3-4 | def. | Blue Hens | 2-5-6 | ||
| 13 | Midshipmen | 1-2-6 | def. | Seahawks | 3-4-5 | ||
| 14 | Shoremen | 1-4-5 | def. | Tigers | 2-3-6 | ||
| 15 | Dragons | 1-4-6 DNS | def. | Blue Hens | 2-3-5 DNS | ||
| 16 | Seahawks | 1-2-3 | def. | Panthers | 4-5-6 | ||
| 17 | Tigers | 1-2-6 | def. | Midshipmen | 3-4-5 | ||
| 18 | Shoremen | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 19 | Seahawks | 1-3-5 | def. | Dragons | 2-4-6 | ||
| 20 | Panthers | 2-3-4 | def. | Tigers | 1-5-6 | ||
| 21 | Midshipmen | 1-2-6 | def. | Shoremen | 3-4-5 | ||
| 22 | Midshipmen | 1-2-6 | def. | Panthers | 3-4-5 DSQ | ||
| 23 | Tigers | 1-2-3 | def. | Dragons | 4-5-6 | ||
| 24 | Seahawks | 1-2-5 | def. | Blue Hens | 3-4-6 | ||
| 25 | Panthers | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 26 | Midshipmen | 1-2-3 | def. | Dragons | 4-5-6 | ||
| 27 | Tigers | 1-2-4 | def. | Blue Hens | 3-5-6 | ||
| 28 | Seahawks | 1-2-4 | def. | Shoremen | 3-5-6 | ||
| 29 | Panthers | 1-2-6 | def. | Dragons | 3-4-5 | ||
| 30 | Midshipmen | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 31 | Seahawks | 1-2-5 | def. | Tigers | 3-4-6 | ||
| 32 | Shoremen | 1-2-5 | def. | Dragons | 3-4-6 | ||
| 33 | Panthers | 1-2-3 | def. | Blue Hens | 4-5-6 | ||
| 34 | Midshipmen | 1-2-3 | def. | Seahawks | 4-5-6 | ||
| 35 | Shoremen | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 36 | Dragons | 1-2-5 | def. | Blue Hens | 3-4-6 | ||
| 37 | Seahawks | 2-4-5 | def. | Panthers | 1-3-6 DSQ | ||
| 38 | Midshipmen | 1-2-3 | def. | Tigers | 4-5-6 | ||
| 39 | Shoremen | 1-2-5 | def. | Blue Hens | 3-4-6 | ||
| 40 | Seahawks | 1-2-3 | def. | Dragons | 4-5-6 | ||
| 41 | Tigers | 1-2-6 | def. | Panthers | 3-4-5 | ||
| 42 | Midshipmen | 1-2-3 | def. | Shoremen | 4-5-6 | ||
| 43 | Seahawks | 1-2-5 | def. | Shoremen | 3-4-6 | ||
| 44 | Midshipmen | 1-2-4 | def. | Tigers | 3-5-6 | ||
| 45 | Seahawks | 1-2-5 | def. | Tigers | 3-4-6 | ||
| 46 | Midshipmen | 1-4-5 | def. | Shoremen | 2-3-6 | ||
| 47 | Shoremen | 1-3-6 | def. | Tigers | 2-4-5 | ||
| 48 | Midshipmen | 1-2-6 | def. | Seahawks | 3-4-5 | ||
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 ±0.05 means a rating gap counts about 4% 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.