September 28, 2023

Bunnings NPC Predictions for Week 9

Team Ratings for Week 9

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
Wellington 13.22 8.72 4.50
Canterbury 7.14 9.44 -2.30
North Harbour 5.27 7.75 -2.50
Tasman 5.01 2.20 2.80
Waikato 4.39 3.71 0.70
Auckland 3.59 2.15 1.40
Hawke’s Bay 3.38 5.12 -1.70
Bay of Plenty 2.61 4.55 -1.90
Taranaki 1.23 -2.98 4.20
Otago -4.23 0.62 -4.90
Counties Manukau -4.25 -7.44 3.20
Northland -5.11 -3.92 -1.20
Southland -11.59 -12.27 0.70
Manawatu -17.18 -14.18 -3.00

 

Performance So Far

So far there have been 63 matches played, 46 of which were correctly predicted, a success rate of 73%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Southland vs. Bay of Plenty Sep 27 23 – 25 -12.90 TRUE

 

Predictions for Week 9

Here are the predictions for Week 9. 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 Auckland vs. Northland Sep 29 Auckland 11.70
2 Waikato vs. Canterbury Sep 30 Waikato 0.20
3 Wellington vs. Hawke’s Bay Sep 30 Wellington 12.80
4 Taranaki vs. North Harbour Sep 30 North Harbour -1.00
5 Bay of Plenty vs. Tasman Oct 01 Bay of Plenty 0.60
6 Otago vs. Counties Manukau Oct 01 Otago 3.00
7 Manawatu vs. Southland Oct 01 Southland -2.60

 

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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 »