September 6, 2026

Top 14 Predictions for Round 1

Team Ratings for Round 1

Almost a tradition that I miss the start of a competition. For completeness, here are the predictions. As always, the predictions are not affected at all by the fact that most of the games have already been played.
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 12.37 12.37 -0.00
Montpellier 6.36 6.36 -0.00
Stade Francais 5.68 5.68 0.00
Stade Rochelais 4.97 4.97 0.00
Clermont 4.21 4.21 -0.00
Section Paloise 4.18 4.18 -0.00
Bordeaux Begles 3.70 3.70 -0.00
Racing 92 3.59 3.59 0.00
Castres Olympique -0.29 -0.29 -0.00
Toulon -0.81 -0.81 0.00
Lyon -0.94 -0.94 0.00
Bayonne -2.02 -2.02 0.00
USA Perpignan -5.39 -5.39 -0.00
Vannes -10.00 -10.00 0.00

 

Predictions for Round 1

Here are the predictions for Round 1. 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 Bayonne vs. Toulon Sept 06 Bayonne 5.30
2 Castres Olympique vs. Vannes Sept 06 Castres Olympique 16.20
3 Lyon vs. Clermont Sept 06 Lyon 1.30
4 Montpellier vs. Section Paloise Sept 06 Montpellier 8.70
5 Stade Francais vs. USA Perpignan Sept 06 Stade Francais 17.60
6 Bordeaux Begles vs. Racing 92 Sept 06 Bordeaux Begles 6.60
7 Stade Rochelais vs. Stade Toulousain Sept 07 Stade Toulousain -0.90

 

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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 »

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