March 1, 2022

Super Rugby Predictions for Week 3

Team Ratings for Week 3

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 14.50 13.43 1.10
Blues 9.07 9.26 -0.20
Hurricanes 8.08 8.28 -0.20
Chiefs 6.43 5.56 0.90
Highlanders 5.00 6.54 -1.50
Brumbies 4.13 3.61 0.50
Reds 1.79 1.37 0.40
Western Force -3.10 -4.96 1.90
Rebels -7.61 -5.79 -1.80
Waratahs -7.82 -9.00 1.20
Moana Pasifika -10.00 -10.00 0.00
Fijian Drua -12.16 -10.00 -2.20

 

Performance So Far

So far there have been 10 matches played, 7 of which were correctly predicted, a success rate of 70%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Waratahs vs. Reds Feb 25 16 – 20 -4.10 TRUE
2 Brumbies vs. Fijian Drua Feb 26 42 – 3 19.80 TRUE
3 Highlanders vs. Crusaders Feb 26 19 – 34 -2.60 TRUE
4 Rebels vs. Western Force Feb 26 3 – 28 3.80 FALSE
5 Blues vs. Hurricanes Feb 27 32 – 33 1.40 FALSE

 

Predictions for Week 3

Here are the predictions for Week 3. 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 Moana Pasifika vs. Crusaders Mar 04 Crusaders -19.00
2 Fijian Drua vs. Rebels Mar 04 Fijian Drua 0.90
3 Western Force vs. Reds Mar 04 Western Force 0.60
4 Blues vs. Chiefs Mar 05 Blues 8.10
5 Hurricanes vs. Highlanders Mar 05 Hurricanes 8.60
6 Brumbies vs. Waratahs Mar 05 Brumbies 17.40

 

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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 »