Top 14 Predictions for the Semi-finals
Team Ratings for the Semi-finals
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 | |
---|---|---|---|
Stade Toulousain | 14.01 | 8.76 | 5.20 |
Toulon | 4.97 | 5.32 | -0.30 |
Bordeaux Begles | 4.39 | 3.96 | 0.40 |
Clermont | 2.59 | 0.41 | 2.20 |
Stade Rochelais | 2.17 | 4.85 | -2.70 |
Racing 92 | 1.31 | 2.75 | -1.40 |
Section Paloise | 0.95 | 1.38 | -0.40 |
Castres Olympique | 0.57 | -0.09 | 0.70 |
Montpellier | 0.50 | -0.96 | 1.50 |
Bayonne | 0.43 | -1.69 | 2.10 |
Lyon | -1.07 | -0.18 | -0.90 |
Stade Francais | -2.53 | 1.86 | -4.40 |
USA Perpignan | -3.89 | -0.66 | -3.20 |
Vannes | -8.68 | -10.00 | 1.30 |
Performance So Far
So far there have been 184 matches played, 141 of which were correctly predicted, a success rate of 76.6%.
Here are the predictions for last week’s games.
Game | Date | Score | Prediction | Correct | |
---|---|---|---|---|---|
1 | Toulon vs. Castres Olympique | Jun 15 | 52 – 23 | 11.90 | TRUE |
2 | Bayonne vs. Clermont | Jun 14 | 20 – 3 | 4.50 | TRUE |
Predictions for the Semi-finals
Here are the predictions for the Semi-finals. 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 | Stade Toulousain vs. Bayonne | Jun 21 | Stade Toulousain | 19.20 |
2 | Bordeaux Begles vs. Toulon | Jun 22 | Bordeaux Begles | 6.80 |
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 »