August 30, 2022

Bunnings NPC Predictions for Wednesday Game for Round 4

Team Ratings for Wednesday Game for Round 4

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
Canterbury 5.91 2.00 3.90
Auckland 5.36 4.50 0.90
Hawke’s Bay 5.04 5.87 -0.80
Waikato 4.02 2.00 2.00
North Harbour 3.93 2.31 1.60
Tasman 2.99 5.94 -3.00
Bay of Plenty 1.84 0.10 1.70
Wellington 1.40 3.58 -2.20
Taranaki 1.30 3.63 -2.30
Otago -1.17 -1.63 0.50
Northland -4.51 -6.68 2.20
Counties Manukau -5.03 -6.32 1.30
Southland -6.77 -7.01 0.20
Manawatu -11.99 -5.97 -6.00

 

Performance So Far

So far there have been 30 matches played, 20 of which were correctly predicted, a success rate of 66.7%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Tasman vs. Canterbury Aug 26 20 – 52 2.40 FALSE
2 Waikato vs. Manawatu Aug 26 53 – 6 15.90 TRUE
3 Hawke’s Bay vs. North Harbour Aug 27 25 – 23 4.00 TRUE
4 Auckland vs. Otago Aug 27 35 – 17 7.90 TRUE
5 Bay of Plenty vs. Counties Manukau Aug 28 13 – 18 11.00 FALSE
6 Wellington vs. Taranaki Aug 28 31 – 25 1.70 TRUE
7 Northland vs. Southland Aug 28 32 – 19 3.70 TRUE

 

Predictions for Wednesday Game for Round 4

Here are the predictions for Wednesday Game for Round 4. 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 Canterbury vs. North Harbour Aug 31 Canterbury 4.50

 

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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 »