As a follow-up to our Monte Carlo analysis to the women's quarterfinals published in the New York Times yesterday, here is an analysis of the men's quarterfinals. The research was performed by Carlton Chin, a portfolio strategist and fund manager, and Rose Wang, head of finance at a health care non-profit.
Monte Carlo Model: Probability of Winning the U.S. Open
1. Novak Djokovic (1) 45.8%
2. Rafael Nadal (2) 25.8%
3. Andy Murray (3) 12.7%
4. David Ferrer (4) 6.6%
5. Richard Gasquet (8) 5.0%
6. Tommy Robredo (19) 1.9%
7. Stanislas Wawrinka (9) 1.8%
8. Mikhail Youzhny (21) 0.5%
The Monte Carlo model gives Novak Djokovic an edge over Rafael Nadal and Andy Murray. In addition, Djokovic has the easiest quarterfinal matchup of the three top seeds, at least statistically.
Read more here:
http://straightsets.blogs.nytimes.com/2013/09/04/keeping-score-monte-carlo-analysis-of-mens-draw/?_r=0
Monte Carlo Model: Probability of Winning the U.S. Open
1. Novak Djokovic (1) 45.8%
2. Rafael Nadal (2) 25.8%
3. Andy Murray (3) 12.7%
4. David Ferrer (4) 6.6%
5. Richard Gasquet (8) 5.0%
6. Tommy Robredo (19) 1.9%
7. Stanislas Wawrinka (9) 1.8%
8. Mikhail Youzhny (21) 0.5%
The Monte Carlo model gives Novak Djokovic an edge over Rafael Nadal and Andy Murray. In addition, Djokovic has the easiest quarterfinal matchup of the three top seeds, at least statistically.
Read more here:
http://straightsets.blogs.nytimes.com/2013/09/04/keeping-score-monte-carlo-analysis-of-mens-draw/?_r=0
