May 1, 2013

Super 15 Predictions, Round 12

Team Ratings for Round 12

This year the predictions have been slightly changed with the help of a student, Joshua Dale. The home ground advantage now is different when both teams are from the same country to when the teams are from different countries. The basic method is described on my Department home page.

Here are the team ratings prior to Round 12, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Crusaders 5.91 9.03 -3.10
Chiefs 5.59 6.98 -1.40
Brumbies 4.40 -1.06 5.50
Sharks 3.88 4.57 -0.70
Stormers 3.87 3.34 0.50
Bulls 3.76 2.55 1.20
Blues 2.19 -3.02 5.20
Reds 0.36 0.46 -0.10
Hurricanes -0.31 4.40 -4.70
Cheetahs -1.12 -4.16 3.00
Waratahs -4.93 -4.10 -0.80
Highlanders -6.13 -3.41 -2.70
Force -9.97 -9.73 -0.20
Kings -10.69 -10.00 -0.70
Rebels -11.60 -10.64 -1.00

 

Performance So Far

So far there have been 68 matches played, 47 of which were correctly predicted, a success rate of 69.1%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Hurricanes vs. Stormers Apr 26 16 – 18 0.20 FALSE
2 Reds vs. Blues Apr 26 12 – 11 2.40 TRUE
3 Chiefs vs. Sharks Apr 27 37 – 29 5.30 TRUE
4 Brumbies vs. Force Apr 27 41 – 7 13.60 TRUE
5 Bulls vs. Waratahs Apr 27 30 – 19 13.00 TRUE
6 Cheetahs vs. Kings Apr 27 26 – 12 11.70 TRUE
7 Crusaders vs. Rebels Apr 28 30 – 26 24.80 TRUE

 

Predictions for Round 12

Here are the predictions for Round 12. 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 Blues vs. Stormers May 03 Blues 2.30
2 Rebels vs. Chiefs May 03 Chiefs -13.20
3 Highlanders vs. Sharks May 04 Sharks -6.00
4 Force vs. Reds May 04 Reds -7.80
5 Kings vs. Waratahs May 04 Waratahs -1.80
6 Bulls vs. Hurricanes May 04 Bulls 8.10
7 Brumbies vs. Crusaders May 05 Brumbies 2.50

 

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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 »

Comments

  • avatar
    Bruce Sarembock

    I think it would be far for impressive to use your rating system against the bookies odds and see how many you call right on the spread.

    example game 1 of week 12.
    you called Blues by 2.30 points.
    the spread was blues – 3,5 points
    So your stats would say Stormers +3,5
    Which would have been correct 18-17 final score

    Just a thought…

    12 years ago