August 10, 2022

Bunnings NPC Predictions for Week 2

Team Ratings for Week 2

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
Auckland 5.86 4.50 1.40
Hawke’s Bay 5.73 5.87 -0.10
Tasman 5.45 5.94 -0.50
Canterbury 3.64 2.00 1.60
Wellington 3.18 3.58 -0.40
Taranaki 2.88 3.63 -0.80
Waikato 2.14 2.00 0.10
North Harbour 1.78 2.31 -0.50
Bay of Plenty 0.50 0.10 0.40
Otago -1.95 -1.63 -0.30
Northland -5.92 -6.68 0.80
Counties Manukau -6.00 -6.32 0.30
Southland -6.52 -7.01 0.50
Manawatu -8.44 -5.97 -2.50

 

Performance So Far

So far there have been 8 matches played, 5 of which were correctly predicted, a success rate of 62.5%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Manawatu vs. Auckland Aug 10 18 – 45 -10.10 TRUE

 

Predictions for Week 2

Here are the predictions for Week 2. 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 Hawke’s Bay vs. Counties Manukau Aug 12 Hawke’s Bay 14.20
2 Otago vs. Tasman Aug 13 Tasman -4.90
3 Northland vs. Waikato Aug 13 Waikato -5.60
4 Canterbury vs. Wellington Aug 13 Canterbury 3.00
5 Bay of Plenty vs. Taranaki Aug 14 Bay of Plenty 0.10
6 Southland vs. Auckland Aug 14 Auckland -9.90
7 North Harbour vs. Manawatu Aug 14 North Harbour 12.70

 

avatar

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 »