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Regina Duplicate Bridge Club
Player of the Year
June 1, 2010 - May 31, 2011
Last Updated - 09/05/10
This race is for all club members.
1. Nelson Sunshine 30.53
2. Dick Anderson 25.59
3. John Groves 25.16
4. Gil Lafreniere 23.24
5. Ilsa Krukoff 21.24
6. Cal McLeod 17.44
7. June Lind 16.55
8. Art D'Entremont 16.20
9. Rae Hart 15.52
10. Don Norman 14.21
August Player of the Month
Nelson Sunshine - 9.81
U100 Player of the Year
June 1, 2010 - May 31, 2011
This race is for all members
who started the year with
less than 100 masterpoints.
1. Don Norman 14.21
2. Sandy Bingaman 9.73
3. Barb Miller 6.94
4. Shirley Strohan 6.68
5. Ron Miller 6.02
6. Jim Rogers 4.80
7. Byron Seymour 4.59
8. Rae Lindsay 4.25
9. Buddy Lindsay 4.25
10. Nancy Welta 3.83
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As many of you know, I am unemployed for most of the year. I fill my time by asking interesting questions and learning new skills. Back in the middle of 2005, I started playing at the RDBC mostly on Monday and Friday nights and mostly with Pamela Keim. At that time, Pam was playing 4 times a week and she was ranked 9th or 10th in the RDBC player of the year race. When I took a close look at this list, I realized that most of the players on it were playing 3 or 4 times a week. I became curious about whether the top ranked player on the list was also the best bridge player in the club or whether the top ranked player on the list was just a good bridge player who played a lot.
So, my first motivation was simple curiosity but I also had an unrelated desire to learn how to use computer spreadsheets and I have always had an interest in statistical analysis. This seemed like the perfect time to combine my interests and develop those skills. Finally, I wanted to see if there was an accurate statistical way to compare the scores and results from restricted games (Monday night, Friday night) with those from open games (Monday afternoon, Tuesday night).
So, with these goals in mind, I began to take the information available on the internet from the Game Results section of the RDBC website and enter it into spreadsheets. As it turns out, there are a lot of different statistical categories that can be generated from this fairly limited amount of information.
If you are interested, you can read on about the development of and my reasoning behind the various statistical categories or you can skip ahead and just see the results.
Jason Larrivee
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