April 26, 2022

Super Rugby Predictions for Week 11

Team Ratings for Week 11

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.

Current Rating Rating at Season Start Difference
Crusaders 13.88 13.43 0.50
Blues 11.30 9.26 2.00
Chiefs 8.64 5.56 3.10
Hurricanes 8.49 8.28 0.20
Brumbies 4.28 3.61 0.70
Highlanders 4.21 6.54 -2.30
Reds 1.67 1.37 0.30
Waratahs -5.47 -9.00 3.50
Western Force -5.68 -4.96 -0.70
Rebels -7.89 -5.79 -2.10
Moana Pasifika -11.83 -10.00 -1.80
Fijian Drua -13.29 -10.00 -3.30

 

Performance So Far

So far there have been 53 matches played, 37 of which were correctly predicted, a success rate of 69.8%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Chiefs vs. Waratahs Apr 22 51 – 27 6.30 TRUE
2 Blues vs. Fijian Drua Apr 23 35 – 18 18.90 TRUE
3 Hurricanes vs. Reds Apr 23 30 – 17 -0.60 FALSE
4 Highlanders vs. Brumbies Apr 24 17 – 28 -5.10 TRUE
5 Crusaders vs. Rebels Apr 24 42 – 17 14.60 TRUE

 

Predictions for Week 11

Here are the predictions for Week 11. 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 Reds vs. Chiefs Apr 29 Chiefs -1.00
2 Western Force vs. Blues Apr 29 Blues -11.00
3 Fijian Drua vs. Highlanders Apr 30 Highlanders -11.50
4 Waratahs vs. Crusaders Apr 30 Crusaders -13.30
5 Rebels vs. Moana Pasifika Apr 30 Rebels 9.90
6 Brumbies vs. Hurricanes May 01 Brumbies 1.80

 

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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 »