March 19, 2014

Revised Super 15 Predictions for Round 6

I had a mistake in my code so that the country assigned to the Sharks was incorrect so the previously posted prediction for the Bulls versus Sharks game was wrongly calculated. I now have the Sharks to win by 0.10 point.

All the other predictions for the round are unchanged.

Team Ratings for Round 6

The basic method is described on my Department home page. I have made some changes to the methodology this year, including shrinking the ratings between seasons.

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
Sharks 6.52 4.57 2.00
Crusaders 6.07 8.80 -2.70
Chiefs 5.30 4.38 0.90
Brumbies 4.19 4.12 0.10
Bulls 3.92 4.87 -1.00
Waratahs 3.65 1.67 2.00
Stormers 1.95 4.38 -2.40
Hurricanes -0.22 -1.44 1.20
Reds -0.28 0.58 -0.90
Blues -1.90 -1.92 0.00
Cheetahs -3.35 0.12 -3.50
Highlanders -3.85 -4.48 0.60
Lions -4.15 -6.93 2.80
Force -4.65 -5.37 0.70
Rebels -6.20 -6.36 0.20

 

Performance So Far

So far there have been 29 matches played, 20 of which were correctly predicted, a success rate of 69%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Chiefs vs. Stormers Mar 14 36 – 20 6.10 TRUE
2 Rebels vs. Crusaders Mar 14 19 – 25 -8.70 TRUE
3 Hurricanes vs. Cheetahs Mar 15 60 – 27 3.80 TRUE
4 Highlanders vs. Force Mar 15 29 – 31 5.80 FALSE
5 Brumbies vs. Waratahs Mar 15 28 – 23 2.70 TRUE
6 Lions vs. Blues Mar 15 39 – 36 1.50 TRUE
7 Sharks vs. Reds Mar 15 26 – 6 7.80 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 Highlanders vs. Hurricanes Mar 21 Hurricanes -1.10
2 Waratahs vs. Rebels Mar 21 Waratahs 12.40
3 Blues vs. Cheetahs Mar 22 Blues 5.40
4 Brumbies vs. Stormers Mar 22 Brumbies 6.20
5 Force vs. Chiefs Mar 22 Chiefs -5.90
6 Lions vs. Reds Mar 22 Lions 0.10
7 Bulls vs. Sharks Mar 22 Sharks -0.10

 

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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
    Kevin Kuhn

    Good day David
    Please can yoy explain your scores for the super 15 I am not sure how the scores are working especisly with the .10

    Regards

    10 years ago

    • avatar

      The prediction is simply the home team rating minus the away team rating plus the home ground advantage. A positive value means a win to the home team, negative a win to the away team. The prediction is an estimate of the points difference, so a value of 0.10 means the match is pretty even: I can hardly separate the two teams playing on that ground.

      10 years ago