November 11, 2025

Top 14 Predictions for Postponed Games

Team Ratings for Postponed Games

I missed predicting the postponed game last week. The result of that game means some fairly small adjustments to the ratings for Toulon and Stade Rochelais. For completeness here is my prediction for the postponed game, following the updated predictions for Round 10.
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 11.81 11.56 0.20
Bordeaux Begles 4.54 4.78 -0.20
Toulon 4.28 3.49 0.80
Stade Rochelais 3.66 1.22 2.40
Clermont 3.64 1.88 1.80
Section Paloise 2.96 2.21 0.80
Bayonne 1.64 1.48 0.20
Racing 92 1.28 1.88 -0.60
Montpellier 0.61 -0.21 0.80
Stade Francais 0.50 -2.17 2.70
Castres Olympique -1.22 0.59 -1.80
Lyon -1.86 -0.45 -1.40
USA Perpignan -6.09 -3.37 -2.70
Montauban -12.86 -10.00 -2.90

Performance So Far

So far there have been 62 matches played, 49 of which were correctly predicted, a success rate of 79%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Bayonne vs. Montauban Nov 02 49 – 7 19.50 TRUE
2 Castres Olympique vs. Bordeaux Begles Nov 02 26 – 28 1.10 FALSE
3 Montpellier vs. Clermont Nov 02 7 – 9 4.20 FALSE
4 Section Paloise vs. USA Perpignan Nov 02 27 – 23 16.50 TRUE
5 Stade Toulousain vs. Stade Francais Nov 02 29 – 17 18.60 TRUE
6 Toulon vs. Lyon Nov 02 54 – 21 11.20 TRUE
7 Stade Rochelais vs. Racing 92 Nov 03 33 – 6 7.60 TRUE

Predictions for Postponed Games

Here are the predictions for Postponed Games. 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 Toulon vs. Stade Rochelais Nov 09 Toulon 7.10
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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 »