April 14, 2026

Super Rugby Predictions for Week 10

Team Ratings for Week 10

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
Chiefs 12.26 12.36 -0.10
Hurricanes 11.82 8.29 3.50
Blues 9.20 8.91 0.30
Crusaders 8.18 8.41 -0.20
Brumbies 5.76 5.59 0.20
Reds 0.41 1.74 -1.30
Highlanders -2.93 -3.06 0.10
Western Force -4.60 -6.29 1.70
Waratahs -5.05 -5.84 0.80
Fijian Drua -8.74 -7.64 -1.10
Moana Pasifika -11.72 -7.88 -3.80

 

Performance So Far

So far there have been 43 matches played, 29 of which were correctly predicted, a success rate of 67.4%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Highlanders vs. Brumbies Apr 10 10 – 14 -5.40 TRUE
2 Moana Pasifika vs. Chiefs Apr 11 17 – 62 -27.60 TRUE
3 Fijian Drua vs. Western Force Apr 11 24 – 22 0.70 TRUE
4 Hurricanes vs. Blues Apr 11 42 – 19 6.30 TRUE
5 Reds vs. Crusaders Apr 11 31 – 26 -5.20 FALSE

 

Predictions for Week 10

Here are the predictions for Week 10. 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 Blues vs. Highlanders Apr 17 Blues 17.10
2 Waratahs vs. Moana Pasifika Apr 17 Waratahs 10.20
3 Chiefs vs. Hurricanes Apr 18 Chiefs 5.40
4 Brumbies vs. Fijian Drua Apr 18 Brumbies 19.50
5 Western Force vs. Crusaders Apr 18 Crusaders -9.30

 

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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 »

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