May 9, 2012

NRL Predictions, Round 10

Team Ratings for Round 10

Here are the team ratings prior to Round 10, along with the ratings at the start of the season. I have created a brief description of the method I use for predicting rugby games. Go to my Department home page to see this.

Current Rating Rating at Season Start Difference
Storm 11.44 4.63 6.80
Broncos 6.50 5.57 0.90
Sea Eagles 3.88 9.83 -5.90
Bulldogs 3.60 -1.86 5.50
Cowboys 3.08 -1.32 4.40
Warriors 2.18 5.28 -3.10
Wests Tigers 1.25 4.52 -3.30
Dragons 1.11 4.36 -3.20
Knights 0.19 0.77 -0.60
Rabbitohs -0.31 0.04 -0.40
Sharks -1.18 -7.97 6.80
Roosters -3.11 0.25 -3.40
Raiders -5.84 -8.40 2.60
Panthers -8.20 -3.40 -4.80
Titans -8.41 -11.80 3.40
Eels -9.92 -4.23 -5.70

 

Performance So Far

So far there have been 72 matches played, 42 of which were correctly predicted, a success rate of 58.33%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Eels vs. Bulldogs May 04 12 – 46 -4.26 TRUE
2 Cowboys vs. Dragons May 04 30 – 6 3.13 TRUE
3 Warriors vs. Broncos May 05 30 – 20 -1.69 FALSE
4 Titans vs. Wests Tigers May 05 14 – 15 -5.95 TRUE
5 Panthers vs. Storm May 05 10 – 44 -11.55 TRUE
6 Sea Eagles vs. Raiders May 06 18 – 12 15.79 TRUE
7 Roosters vs. Knights May 06 24 – 6 -2.00 FALSE
8 Rabbitohs vs. Sharks May 07 34 – 28 5.25 TRUE

 

Predictions for Round 10

Here are the predictions for Round 10

Game Date Winner Prediction
1 Broncos vs. Sea Eagles May 11 Broncos 7.10
2 Bulldogs vs. Titans May 11 Bulldogs 16.50
3 Warriors vs. Roosters May 12 Warriors 9.80
4 Knights vs. Cowboys May 12 Knights 1.60
5 Raiders vs. Eels May 13 Raiders 8.60
6 Sharks vs. Storm May 13 Storm -8.10
7 Panthers vs. Dragons May 14 Dragons -4.80

 

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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 »

Comments

  • avatar
    Jamie Murdoch

    I spent a number of recent years predicting the NRL results for a sports website just for a laugh, but basically 60% was the benchmark I went by. If you could crack it you’d had a very good year. If you were close to it you were doing OK. It’s remarkable how little there is between teams in terms of talent due to the salary cap, so it mainly comes down to coaching, form and confidence. And while coaching remains consistent, the other two things can change massively from week to week. Most sides struggle to win back to back games, and the bounce back factor from a loss is significant.

    12 years ago

    • avatar

      I think you are right about the NRL. It seems harder to predict than Super Rugby. This year it has been really difficult I think. Early on, one of the Sydney Morning Herald’s tipsters was running at around 30% correct. I was struggling to get over 50% using the same method as for Super Rugby. I think the salary cap is pretty important in the evenness of the teams, but possibly also there is the nature of the rugby union where organisation is extremely important when it comes to set pieces, the breakdown and defence.

      12 years ago

      • avatar
        Jamie Murdoch

        Another factor is that each team basically only has players from it’s own country which limits team’s ability to build competitive sides. Especially Aussie who don’t have much depth. In SA the Super Rugby teams also play in the Currie Cup unlike in NZ where teams are broken down into ITM Cup teams. This all combines to create a much greater range in ability between the teams and therefore more predictability with results.

        12 years ago