Bulldogs/Tigers Palmetto State Showdown Team Race

# SchoolTeam Rec.
1 Clemson University Clemson University Tigers 10–2
2 The Citadel The Citadel Bulldogs 2–10

Pre-event forecast

Fitted on the 23,468 team race matches sailed before 2024-03-30, using the line-ups that actually raced. It called 10 of 12 matches (83%) with a log-loss of 0.524 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness +1.19 ± 0.91: an orderly event, more orderly than 100% 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
1Clemson University
Tigers
14.82
school +0.26
Nilah Miller / Sam Heighway 1.75
Antonio Priskich / Jonathan Caruso 1.11
Ashton Loring / Vanessa Marahrens 1.62
66%10–2 (83%)+2.1
2The Citadel
Bulldogs
24.15
school +0.07, home +0.41
Kenneth Buck / Thomas Hester 1.45
Andrew Tollefson / Preston Cyr 1.54
Camden Hom / Ella Crider 0.64
34%2–10 (17%)−2.1

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)
1Clemson University4.825.7610–27.9+0.941.317%
2The Citadel4.153.212–104.1−0.941.395%

By skipper

SkipperSchoolValue Perf.RecordExp.
wins
ΔSurprise
(bits)
P(this good
or better)
Nilah MillerClemson University1.752.6910–27.9+0.941.317%
Antonio PriskichClemson University1.112.0510–27.9+0.941.317%
Ashton LoringClemson University1.622.5610–27.9+0.941.317%
Kenneth BuckThe Citadel1.450.512–104.1−0.941.395%
Andrew TollefsonThe Citadel1.540.602–104.1−0.941.395%

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)
11Clemson UniversityThe Citadel65%
22The CitadelClemson University34%upset
33Clemson UniversityThe Citadel66%
44Clemson UniversityThe Citadel66%
55Clemson UniversityThe Citadel66%
66Clemson UniversityThe Citadel66%
77Clemson UniversityThe Citadel66%
88The CitadelClemson University34%upset
99Clemson UniversityThe Citadel66%
1010Clemson UniversityThe Citadel67%
1111Clemson UniversityThe Citadel67%
1212Clemson UniversityThe Citadel67%

Round 1

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 2

TeamRec.TigersBulldogs
Clemson University Tigers0–1✕L
The Citadel Bulldogs1–0W✕

Round 3

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 4

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 5

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 6

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 7

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 8

TeamRec.TigersBulldogs
Clemson University Tigers0–1✕L
The Citadel Bulldogs1–0W✕

Round 9

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 10

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 11

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕

Round 12

TeamRec.TigersBulldogs
Clemson University Tigers1–0✕W
The Citadel Bulldogs0–1L✕
# Winner Loser Pos.
1 Clemson University Tigers 1-3-6 def. The Citadel Bulldogs 2-4-5
2 The Citadel Bulldogs 1-2-6 def. Clemson University Tigers 3-4-5
3 Clemson University Tigers 1-2-5 def. The Citadel Bulldogs 3-4-6
4 Clemson University Tigers 1-2-5 def. The Citadel Bulldogs 3-4-6
5 Clemson University Tigers 1-2-3 def. The Citadel Bulldogs 4-5-6
6 Clemson University Tigers 1-2-5 def. The Citadel Bulldogs 3-4-6
7 Clemson University Tigers 1-2-5 def. The Citadel Bulldogs 3-4-6
8 The Citadel Bulldogs 3-4-5 def. Clemson University Tigers 1-2-6 DSQ
9 Clemson University Tigers 1-2-3 def. The Citadel Bulldogs 4-5-6
10 Clemson University Tigers 1-2-3 def. The Citadel Bulldogs 4-5-6
11 Clemson University Tigers 1-2-4 DSQ def. The Citadel Bulldogs 3-5-6
12 Clemson University Tigers 1-2-6 def. The Citadel Bulldogs 3-4-5

Conditions — 03/30/2024 (8am–6pm)

☀️Clear sky
Humidity 53%  ·  Pressure 1019.4 hPa

Temperature

66°F
↑ 73°F   ↓ 50°F
Feels like 63°F

Wind

● from   ▲ toward
8.1 kn
avg  ·  max 10.6 kn
Gusts to 18.5 kn
From SW (233°)

Sky & Precipitation

Cloud cover15% Sunshine10.8 hrs Humidity53% Pressure1019.4 hPa

What this breeze does at Citadel — from fleet racing

Breeze: SW about 10 kn (weather reanalysis in the scorer’s units)
In fleet races at Citadel in this breeze: a typical day (+0.02)
Nothing in this breeze favours either side in fleet racing here: results follow the ratings about as usual.

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 ±0.02 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.

Orderliness beyond the fleet at Citadel by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 8 labelled days at Citadel, so the surface is mostly the all-venue pattern).

From the notes

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

All notes →