April 10, 2018

NRL Predictions for Round 6

Team Ratings for Round 6

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
Storm 12.57 16.73 -4.20
Panthers 4.33 2.64 1.70
Dragons 4.23 -0.45 4.70
Sharks 1.74 2.20 -0.50
Roosters 1.39 0.13 1.30
Cowboys 0.80 2.97 -2.20
Raiders 0.43 3.50 -3.10
Broncos 0.31 4.78 -4.50
Wests Tigers -0.22 -3.63 3.40
Sea Eagles -0.36 -1.07 0.70
Warriors -1.32 -6.97 5.70
Rabbitohs -2.07 -3.90 1.80
Eels -4.24 1.51 -5.80
Bulldogs -4.48 -3.43 -1.10
Knights -7.65 -8.43 0.80
Titans -7.78 -8.91 1.10

Performance So Far

So far there have been 40 matches played, 21 of which were correctly predicted, a success rate of 52.5%.
Here are the predictions for last week’s games.

  Game Date Score Prediction Correct
1 Raiders vs. Bulldogs Apr 05 26 – 10 6.60 TRUE
2 Sharks vs. Roosters Apr 06 10 – 28 6.80 FALSE
3 Dragons vs. Rabbitohs Apr 06 16 – 12 10.20 TRUE
4 Wests Tigers vs. Storm Apr 07 11 – 10 -15.00 FALSE
5 Warriors vs. Cowboys Apr 07 22 – 12 1.10 TRUE
6 Knights vs. Broncos Apr 07 15 – 10 -6.60 FALSE
7 Titans vs. Sea Eagles Apr 08 32 – 20 -7.10 FALSE
8 Eels vs. Panthers Apr 08 6 – 12 -5.50 TRUE

Predictions for Round 6

Here are the predictions for Round 6. 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 Roosters vs. Rabbitohs Apr 12 Roosters 6.50
2 Storm vs. Knights Apr 13 Storm 23.20
3 Dragons vs. Sharks Apr 13 Dragons 5.50
4 Warriors vs. Broncos Apr 14 Warriors 2.90
5 Cowboys vs. Bulldogs Apr 14 Cowboys 8.30
6 Raiders vs. Eels Apr 14 Raiders 7.70
7 Panthers vs. Titans Apr 15 Panthers 15.10
8 Sea Eagles vs. Wests Tigers Apr 15 Sea Eagles 2.90

 

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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
    Christopher Pearce

    Having followed your predictions for quite a few years now, it’s interesting to hypothesise about what’s causing the change in predictability this season – especially with pundits predicting a high finish for the Warriors this season.

    7 years ago

    • avatar

      The start of the season can be hard to predict. I seem to recall that last year the results in the NRL were under 50% early on. The NRL is typically harder to predict than the Super Rugby and I think the Aviva Premiership. It is hard to get above 60% in the NRL whereas I would expect to get over 70% in the rugby competitions. Not sure why, but it has been consistent over a number of years.

      I suspect club strengths are more even in league and would have pointed to the points range differences between the different competitions (about 36 in Super Rugby, 20 in NRL at present), except that Aviva Premiership looks about as predictable as Super Rugby but has a smaller points range (about 16) than NRL.

      I have toyed with the idea of using different parameters early in the season (larger smoothing constant would be one obvious option, between season shrinkage would be another) but that would require a fair amount of investigation: what parameters might usefully be changed, what constitutes the start of the season, etc.

      The model has responded reasonably well to changes in form like that seen in the Warriors this year to the extent that it (incorrectly) predicted a Warriors win against the Broncos, so I am not sure that a lot of parameter tweaking will do much good. In the end, the inescapable fact is that to an important degree the outcome of sporting contests has a random element.

      7 years ago

  • avatar
    megan pledger

    For RL, it would be interesting to plot average(home team ability – away team ability) for each round over time. The competition draw isn’t some random thing but specifically created (I assume) to fulfill some goals – usually to make the games exciting to watch with peak excitement at season end. IE some parts of the competition are going to be harder to predict by design.

    7 years ago