June 14, 2013

Super 15 Predictions, Round 18

Team Ratings for Round 18

This year the predictions have been slightly changed with the help of a student, Joshua Dale. The home ground advantage now is different when both teams are from the same country to when the teams are from different countries. The basic method is described on my Department home page.

Here are the team ratings prior to Round 18, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Crusaders 6.03 9.03 -3.00
Bulls 5.96 2.55 3.40
Chiefs 4.64 6.98 -2.30
Brumbies 4.18 -1.06 5.20
Sharks 2.26 4.57 -2.30
Waratahs 1.62 -4.10 5.70
Stormers 1.11 3.34 -2.20
Reds 0.17 0.46 -0.30
Hurricanes -1.55 4.40 -5.90
Blues -1.62 -3.02 1.40
Cheetahs -1.63 -4.16 2.50
Highlanders -5.35 -3.41 -1.90
Rebels -8.64 -10.64 2.00
Force -9.03 -9.73 0.70
Kings -12.93 -10.00 -2.90

 

Performance So Far

So far there have been 103 matches played, 70 of which were correctly predicted, a success rate of 68%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Brumbies vs. Rebels Jun 07 39 – 17 14.00 TRUE
2 Force vs. Waratahs Jun 09 13 – 28 -6.90 TRUE

 

Predictions for Round 18

Here are the predictions for Round 18. 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 Chiefs vs. Hurricanes Jun 28 Chiefs 8.70
2 Highlanders vs. Crusaders Jun 29 Crusaders -8.90
3 Sharks vs. Blues Jun 29 Sharks 7.90
4 Bulls vs. Kings Jun 29 Bulls 21.40
5 Stormers vs. Cheetahs Jun 29 Stormers 5.20

 

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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 »