September 10, 2013

Currie Cup Predictions for Round 6

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Team Ratings for Round 6

Here are the team ratings prior to Round 6, along with the ratings at the start of the season. I have created a brief description of the method I use for predicting rugby games. Go to my Department home page to see this.

Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Western Province 3.03 4.47 -1.40
Lions 2.50 -1.22 3.70
Sharks 2.48 3.24 -0.80
Cheetahs -1.71 -2.74 1.00
Blue Bulls -2.75 0.59 -3.30
Griquas -5.70 -6.48 0.80

 

Performance So Far

So far there have been 15 matches played, 7 of which were correctly predicted, a success rate of 46.7%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Griquas vs. Lions Sep 07 32 – 38 0.50 FALSE
2 Blue Bulls vs. Cheetahs Sep 07 26 – 10 4.40 TRUE
3 Western Province vs. Sharks Sep 07 25 – 19 8.50 TRUE

 

Predictions for Round 6

Here are the predictions for Round 6. 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 13 Cheetahs 3.30
2 Griquas vs. Sharks Sep 14 Sharks -0.70
3 Blue Bulls vs. Western Province Sep 14 Blue Bulls 1.70

 

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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 »