March 15, 2022

NRL Predictions for Round 2

Team Ratings for Round 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
Panthers 23.81 14.26 9.50
Storm 8.88 19.20 -10.30
Knights 8.36 -6.54 14.90
Broncos 7.52 -8.90 16.40
Eels 2.15 2.54 -0.40
Dragons 1.98 -7.99 10.00
Sea Eagles 1.44 10.99 -9.60
Titans 1.44 1.05 0.40
Raiders 0.50 -1.10 1.60
Rabbitohs -0.61 15.81 -16.40
Wests Tigers -0.62 -10.94 10.30
Sharks -2.70 -1.10 -1.60
Bulldogs -7.86 -10.25 2.40
Roosters -12.67 2.23 -14.90
Cowboys -14.65 -12.27 -2.40
Warriors -18.96 -8.99 -10.00

 

Performance So Far

So far there have been 8 matches played, 4 of which were correctly predicted, a success rate of 50%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Panthers vs. Sea Eagles Mar 10 28 – 6 6.30 TRUE
2 Raiders vs. Sharks Mar 11 24 – 19 3.00 TRUE
3 Broncos vs. Rabbitohs Mar 11 11 – 4 -21.70 FALSE
4 Roosters vs. Knights Mar 12 6 – 20 11.80 FALSE
5 Warriors vs. Dragons Mar 12 16 – 28 4.50 FALSE
6 Wests Tigers vs. Storm Mar 12 16 – 26 -27.10 TRUE
7 Eels vs. Titans Mar 13 32 – 28 4.50 TRUE
8 Cowboys vs. Bulldogs Mar 13 4 – 6 1.00 FALSE

 

Predictions for Round 2

Here are the predictions for Round 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 Storm vs. Rabbitohs Mar 17 Storm 12.50
2 Dragons vs. Panthers Mar 18 Panthers -18.80
3 Roosters vs. Sea Eagles Mar 18 Sea Eagles -11.10
4 Titans vs. Warriors Mar 19 Titans 25.90
5 Sharks vs. Eels Mar 19 Eels -1.80
6 Cowboys vs. Raiders Mar 19 Raiders -12.10
7 Knights vs. Wests Tigers Mar 20 Knights 12.00
8 Bulldogs vs. Broncos Mar 20 Broncos -12.40

 

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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 »

Comments

  • avatar
    Ricky Mabiria

    Almost accurate. Tipping the Panthers in the around 1 wasn’t easy. Everyone thought they going to lose. I think you have a good judgmental style of tipping. #fan

    3 years ago

    • avatar

      Thanks. However the main point of my predictions is that they are as much as possible simply based on data and an algorithm. I only exercise judgement in choice of parameters and assigning home ground advantage in some cases. I do try also to explain what I have done when making a judgement call based on my experience as a statistician.
      Using only data and an algorithm I can produce forecasts after the event which are exactly as I would have produced before the event, which is what happened in this case.

      3 years ago