November 2, 2021

Bunnings NPC Predictions for Week 14

Team Ratings for Week 14

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
Tasman 8.96 10.71 -1.70
Auckland 8.62 7.95 0.70
Hawke’s Bay 7.81 4.07 3.70
Wellington 6.47 5.62 0.80
North Harbour 4.04 5.75 -1.70
Canterbury 2.94 6.44 -3.50
Waikato 2.87 2.52 0.40
Taranaki 2.64 -4.52 7.20
Bay of Plenty 2.05 5.20 -3.10
Otago -4.65 -3.47 -1.20
Manawatu -9.14 -14.72 5.60
Northland -9.65 -4.75 -4.90
Counties Manukau -11.10 -10.22 -0.90
Southland -11.69 -10.39 -1.30

 

Performance So Far

So far there have been 43 matches played, 23 of which were correctly predicted, a success rate of 53.5%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Canterbury vs. Tasman Oct 29 24 – 20 -3.90 FALSE
2 Bay of Plenty vs. Waikato Oct 30 33 – 37 4.20 FALSE
3 Manawatu vs. Hawke’s Bay Oct 30 31 – 40 -14.40 TRUE
4 Southland vs. Northland Oct 31 37 – 33 0.90 TRUE

 

Predictions for Week 14

Here are the predictions for Week 14. 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 Bay of Plenty vs. Northland Nov 03 Bay of Plenty 15.20
2 Waikato vs. Otago Nov 05 Waikato 11.00
3 Tasman vs. Wellington Nov 06 Tasman 6.00
4 Canterbury vs. Bay of Plenty Nov 06 Canterbury 4.40
5 Taranaki vs. Southland Nov 07 Taranaki 17.80

 

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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 »