Yale TR @ Connecticut College

# SchoolTeam Rec.
1 Roger Williams University Roger Williams University Hawks 6–2
2 Yale University Yale University Bulldogs 6–2
3 U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 5–3
4 Tufts University Tufts University Jumbos 2–6
5 Connecticut College Connecticut College Camels 1–7

Pre-event forecast

Fitted on the 17,727 team race matches sailed before 2022-04-02, using the line-ups that actually raced. It called 9 of 13 matches (69%) with a log-loss of 0.704 (a coin flip scores 0.693), so the event went poorly for the forecast. Orderliness −0.60 ± 0.63: a typical event, more orderly than 8% 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.

PlaceSchool Pred. Strength Boats (skipper / crew, boat value) Pred. win % Recordvs forecast
1Roger Williams University
Hawks
37.07
school +0.31
George Higham / Katharine Benagh 2.58
Luke Hosek / Izaiah Farr 1.96
William Bailey / Ian Coen 2.21
38%5–2 (71%)+2.3
2Yale University
Bulldogs
18.21
school +0.29, home +0.33
Sam Tobin / Teddy Horangic 2.34
Christophe Chaumont / Allison Rice 2.38 3–2
Nicholas Davies / Jessi Avila-Shah 2.86 3–1
Nicholas Davies / Catherine Cheung 2.84 1–2
Christophe Chaumont / Catherine Cheung 2.40 1–1
74%4–3 (57%)−1.2
3U. S. Coast Guard Academy
Bears
27.75
school −0.13
Emily Bornarth / Sydney Motherway 2.64
Emma Snead / Laura Slovensky 2.33
Nicholas Reeser / Jonathan Glander 2.89
61%3–3 (50%)−0.6
4Tufts University
Jumbos
46.52
school +0.13
Bryan Trammell / Leo Terry 2.26
Connor Rosow / Magdelaina Putnam 2.01
Jack Flores / Nicolas Echarte
25%1–5 (17%)−0.5

Surprisal: who beat their rating

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.

PlaceSchoolStrength Perf.RecordExp.
wins
ΔSurprise
(bits)
P(this good
or better)
1Roger Williams University7.078.615–22.7+1.542.57%
3U. S. Coast Guard Academy7.757.273–33.6−0.480.285%
4Tufts University6.525.991–51.5−0.520.283%
2Yale University8.217.404–35.2−0.810.793%

By skipper

SkipperSchoolValue Perf.RecordExp.
wins
ΔSurprise
(bits)
P(this good
or better)
George HighamRoger Williams University2.584.125–22.7+1.542.57%
Bryan TrammellTufts University2.261.731–51.5−0.520.283%
Connor RosowTufts University2.011.491–51.5−0.520.283%
Nicholas DaviesYale University2.862.054–35.2−0.810.793%
Sam TobinYale University2.341.544–35.2−0.810.793%

Match by match

Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).

Rd#WinnerLoser P(winner)
12Roger Williams UniversityU. S. Coast Guard Academy34%upset
13Tufts UniversityYale University14%upset
15Roger Williams UniversityTufts University65%
16Yale UniversityU. S. Coast Guard Academy61%
18U. S. Coast Guard AcademyTufts University77%
19Roger Williams UniversityYale University25%upset
213U. S. Coast Guard AcademyRoger Williams University66%
214Yale UniversityTufts University84%
216Roger Williams UniversityTufts University62%
217Yale UniversityU. S. Coast Guard Academy61%
219U. S. Coast Guard AcademyTufts University76%
220Yale UniversityRoger Williams University75%
411Roger Williams UniversityYale University25%upset

Round 1

TeamRec.HawksBulldogsBearsJumbosCamels
Roger Williams University Hawks4–0✕WWWW
Yale University Bulldogs2–2L✕WLW
U. S. Coast Guard Academy Bears2–2LL✕WW
Tufts University Jumbos1–3LWL✕L
Connecticut College Camels1–3LLLW✕

Round 2

TeamRec.HawksBulldogsBearsJumbosCamels
Roger Williams University Hawks2–2✕LLWW
Yale University Bulldogs4–0W✕WWW
U. S. Coast Guard Academy Bears3–1WL✕WW
Tufts University Jumbos1–3LLL✕W
Connecticut College Camels0–4LLLL✕

Round 4

TeamRec.HawksBulldogs
Roger Williams University Hawks1–0✕W
Yale University Bulldogs0–1L✕
# Winner Loser Pos.
1 Yale University Bulldogs 1-2-3 def. Connecticut College Camels 4-5-6
2 Roger Williams University Hawks 2-3-4 def. U. S. Coast Guard Academy Bears 1-5-6
3 Tufts University Jumbos 2-3-5 def. Yale University Bulldogs 1-4-6
4 U. S. Coast Guard Academy Bears 1-2-5 def. Connecticut College Camels 3-4-6
5 Roger Williams University Hawks 1-3-5 def. Tufts University Jumbos 2-4-6
6 Yale University Bulldogs 2-3-5 def. U. S. Coast Guard Academy Bears 1-4-6
7 Roger Williams University Hawks 1-3-4 def. Connecticut College Camels 2-5-6
8 U. S. Coast Guard Academy Bears 1-2-6 def. Tufts University Jumbos 3-4-5
9 Roger Williams University Hawks 2-3-5 def. Yale University Bulldogs 1-4-6
10 Connecticut College Camels 1-2-6 def. Tufts University Jumbos 3-4-5
12 Yale University Bulldogs 1-2-3 def. Connecticut College Camels 4-5-6
13 U. S. Coast Guard Academy Bears 1-3-4 def. Roger Williams University Hawks 2-5-6 RAF
14 Yale University Bulldogs 1-2-5 def. Tufts University Jumbos 3-4-6
15 U. S. Coast Guard Academy Bears 2-3-4 def. Connecticut College Camels 1-5-6
16 Roger Williams University Hawks 1-2-6 def. Tufts University Jumbos 3-4-5
17 Yale University Bulldogs 1-2-6 def. U. S. Coast Guard Academy Bears 3-4-5
18 Roger Williams University Hawks 1-3-4 def. Connecticut College Camels 2-5-6
19 U. S. Coast Guard Academy Bears 1-2-4 def. Tufts University Jumbos 3-5-6
20 Yale University Bulldogs 1-2-5 def. Roger Williams University Hawks 3-4-6
21 Tufts University Jumbos 1-2-6 def. Connecticut College Camels 3-4-5
11 Roger Williams University Hawks 1-2-3 def. Yale University Bulldogs 4-5-6

Conditions — 04/02/2022 (8am–6pm)

☀️Clear sky
Humidity 43%  ·  Pressure 1016.3 hPa

Temperature

46°F
↑ 51°F   ↓ 38°F
Feels like 39°F

Wind

● from   ▲ toward
8.0 kn
avg  ·  max 11.2 kn
Gusts to 25.1 kn
From WNW (285°)

Sky & Precipitation

Cloud cover25% Sunshine11.0 hrs Humidity43% Pressure1016.3 hPa

What this breeze does at Yale — from fleet racing

Breeze: W about 10 kn (weather reanalysis in the scorer’s units)
In fleet races at Yale in this breeze: a favourites’ day (+0.04)
Favourites’ conditions: in fleet racing here the results follow the ratings more closely than usual, and the top seeds hold their places.

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% 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.

Orderliness beyond the fleet at Yale by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (69 labelled fleet-race days at Yale).

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →