Wednesday, April 9, 2014

It's, The Masters!


[ed. I know... you're just as excited as I am, it's The Masters! The one tournament each year when the drama is nearly guaranteed on a hushed and breathless Sunday afternoon at Augusta National Golf Club. The dogwoods and azaleas are in full bloom, commercials are kept to a minimum (4 minutes an hour), and the course is fast and tricky. Can't wait.] 

We can always be certain of a few things about the Masters Tournament, which starts Thursday at the Augusta National Golf Club: The azaleas will be in bloom. The course will be pristine. The post-tournament sit-down in Butler Cabin will be awkward. But who will win? Let’s see which factors, if any, correlate with success under the Georgia pines.

Full disclosure: Attempting to forecast the outcome of any single golf tournament is, in many ways, a fool’s errand. The PGA Tour’s leading winner in each season since 19801 has averaged 4.6 victories in 21 events, a rate of just under 22 percent. Even Tiger Woods, who may be the greatest golfer of all time, has won only 26 percent of the tournaments he’s entered. The field regularly beats the best golfers in the world, and this is especially true in the tiny sample of a four-round tournament.

Complicating matters, the Masters (one of the more prestigious of the four majors) has seen plenty of fluke winners in recent years, at least based on their perceived status the year before they won the tournament. Going back to 2003, the earliest year for which the PGA Tour website has end-of-year Official World Golf Ranking data, only U.S. Open winners have a lower end-of-year OWGR point average2 than Masters champions in the season before their major victory.3


But despite the inherent uncertainty of golf and especially the Masters, some numbers emerge as predictors of success at Augusta. Specifically, long hitters appear to have an advantage — and pure ball-strikers less so — than would be expected from their performance across all tournaments.

To isolate those predictive factors, I borrowed a technique I first used for last year’s NCAA Giant Killers project at ESPN.com. The idea is to start with a base rating for each player that loosely represents his talent level relative to others’ in the field. Then I look for discrepancies between what that measurement predicted and what happened, and try to determine whether those gaps are related to a particular attribute of a player’s game.

by Neil Paine, 538 | Read more:
Image: Getty Images