October 17, 2017

Currie Cup Predictions for the Currie Cup Finals

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 is the Cheetahs team in weeks when the first team is playing in the Pro14.

Current Rating Rating at Season Start Difference
Cheetahs 4.33 4.33 -0.00
Sharks 3.87 2.15 1.70
Lions 3.84 7.41 -3.60
Western Province 3.62 3.30 0.30
Blue Bulls 0.67 2.32 -1.70
Pumas -8.75 -10.63 1.90
Griquas -10.19 -11.62 1.40
Cheetahs2 -30.14 -30.00 -0.10

 

Performance So Far

So far there have been 42 matches played, 28 of which were correctly predicted, a success rate of 66.7%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Blue Bulls vs. Pumas Oct 13 52 – 32 12.80 TRUE
2 Lions vs. Cheetahs Oct 14 44 – 17 2.50 TRUE
3 Sharks vs. Western Province Oct 14 20 – 31 5.90 FALSE

 

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 Sharks vs. Blue Bulls Oct 21 Sharks 7.70
2 Western Province vs. Lions Oct 21 Western Province 4.30

 

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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 »