September 3, 2019

Currie Cup Predictions for the Currie Cup Final

Team Ratings for the Currie Cup Final

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Note that Cheetahs2 refers to the Cheetahs team when there is a Pro14 match. The assumption is that the team playing in the Pro14 is the top team and the Currie Cup team is essentially a second team. Possibly there will be no such clashes this year

Current Rating Rating at Season Start Difference
Western Province 6.90 7.88 -1.00
Sharks 4.93 5.56 -0.60
Cheetahs 4.47 2.68 1.80
Lions 2.92 3.35 -0.40
Blue Bulls -1.13 0.30 -1.40
Pumas -8.02 -7.53 -0.50
Griquas -8.55 -10.73 2.20
Cheetahs2 -14.26 -14.26 -0.00

 

Performance So Far

So far there have been 23 matches played, 14 of which were correctly predicted, a success rate of 60.9%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Lions vs. Griquas Sep 01 51 – 30 15.00 TRUE
2 Cheetahs vs. Sharks Sep 01 34 – 19 3.10 TRUE

 

Predictions for the Currie Cup Final

Here are the predictions for the Currie Cup Final. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Cheetahs vs. Lions Sep 08 Cheetahs 6.10

 

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David Scott obtained a BA and PhD from the Australian National University and then commenced his university teaching career at La Trobe University in 1972. He has taught at La Trobe University, the University of Sheffield, Bond University and Colorado State University, joining the University of Auckland, based at Tamaki Campus, in mid-1995. He has been Head of Department at La Trobe University, Acting Dean and Associate Dean (Academic) at Bond University, and Associate Director of the Centre for Quality Management and Data Analysis at Bond University with responsibility for Short Courses. He was Head of the Department of Statistics in 2000, and is a past President of the New Zealand Statistical Assocation. See all posts by David Scott »