Cartoon: Pace race From the Field of Analytics From The Executive Editor: Shark visit From The Executive Editor: 10th SBAs Sustainability leadership needed Cartoon: A head for hoops Sutton Impact: Class of 2017 advice Cartoon: New home court From the Field of Philanthropy From The Executive Editor: Analyze this
SBJ/July 27-Aug. 2, 2015/Opinion
For daily fantasy sports operators, the curse of too much skill
Published July 27, 2015, Page 15
WANT MORE GREAT STORIES LIKE THIS?
CLICK ON ONE OF THESE BUTTONS
But investors are overlooking a fundamental operating challenge: the risk that the skill element of daily fantasy is so high that DFS pros will wipe out recreational players in short order. For a real-money contest to achieve sustained popularity, it needs the right balance of skill versus luck. Chess is popular but almost no one plays it for money, because it’s far too skill-based; the better player wins almost every time. Poker thrives because an amateur can beat the best players in the world. Indeed, on June 13 at the World Series of Poker, a 51-year-old football coach from Jupiter, Fla., defeated seven pros in the final table of a $5,000 tournament to win $567,000. Another tournament in May set a record for the largest live poker tournament ever, with 22,374 entrants, pros and weekend warriors alike.
DFS affords a huge advantage to skilled players. In the first half of the 2015 MLB season, 91 percent of DFS player profits were won by just 1.3 percent of players.
The sharks split into two groups (see chart):
■ The top 11 players paid on average $2 million in entry fees and profited $135,000 each. They accounted for 17 percent of all entry fees. The winningest player in our sample profited $400,000 on $3 million in entry fees.
■ The rest of the top 1.3 percent of players paid on average $9,100 in entry fees and profited $2,400 each, for a 27 percent ROI, which is extremely impressive. These contestants accounted for 23 percent of all entry fees and 77 percent of all profits.
■ 5 percent of players are the big fish; they lost $1,100 on entry fees of $3,600 on average.
■ 80 percent of players were the minnows; they lost $25 on entry fees of $49 on average.
Hence, the DFS economy depends heavily on retaining the big fish. They had a staggering loss rate of 31 percent of what they paid in entry fees and accounted for 75 percent of all losses. Each minnow loses less than $10 per month and may happily continue to play forever, but each big fish loses more than $4,000 per year. The entire DFS economy depends on these few players.
■ DFS strategy
The object of DFS seems obvious: pick the players who will hit home runs or score touchdowns in a given day of games. But in large tournaments with headline-grabbing prizes, payouts are skewed heavily to the top 1 percent of participants. Therefore, the goal is to create a lineup that will produce extreme outcomes (good and bad) more often than the average lineup.
For example, a casual player might pick Mike Trout, Hanley Ramirez and Paul Goldschmidt in an MLB contest because they are star sluggers. A sharp player might instead choose Curtis Granderson, Wilmer Flores and Lucas Duda because choosing players from the same team creates covariance, the Mets are at Wrigley, the Cubs have a right-handed flyball pitcher on the mound, the wind will be gusting out to right field, and the Mets are a road favorite.
■ Inefficient pricing
Sports betting has thrived despite a large skill gap between the average sports fan and the sharp bettor. The reason is that the lines are set by a large, liquid market. You can walk up to a betting window in Las Vegas, select a team at random and still win almost 50 percent of the time. Betting randomly, you will lose money over time, but your average loss will be only slightly over the 4.5 percent vigorish.
When you create a DFS lineup, you get a fixed salary cap and buy players at prices set by the site. Trout might cost you $5,500 out of your $50,000 cap, while Granderson might cost just $3,500. But these prices don’t reflect player values perfectly. For example, on some sites, they do not take into account the opposing starting pitcher or game-day lineup changes. Finding underpriced players among 800 active MLB options can be overwhelming to the novice, but sharks use sophisticated models to optimize their lineups.
■ No protection for novices
In poker, there is a large skill gap between the best players and the typical, recreational player. But fortunately for the recreational player, the best players won’t be found at their tables. The sharks focus their energies on the tables with $5,000 buy-ins and higher. You can sit at a $50 buy-in table and be safely insulated from the best of the best, because it’s not worth their time to try to take your money.
In DFS, the top players can enter every contest. One player, maxdalury on DraftKings, every day enters nearly every MLB contest on the site, from the $10,600 buy-in contests to the $1 buy-in tournaments. Indeed, sharp players often enter each small buy-in tournament dozens or even hundreds of times. The novice player is like Neo in “The Matrix Reloaded,” fighting hundreds of Agent Smiths simultaneously.
■ Potential fixes
There are ways to mitigate these problems and give the game a better shot to thrive long term. Salary cap pricing could be made more accurate using algorithms that exist today. Third-party fantasy sports analytics sites such as Rotoviz.com and Razzball.com publish game-by-game player projections that price players more accurately than the salaries used by the DFS site operators.
Sites could float proposed salaries on an overnight market where, in a game within a game, sports fans could “buy” or “sell” players at their market salaries using play money. These trades would then succeed or fail based on the players’ performances in the next day’s games. The reward for successful traders might be, along with bragging rights, the ability to convert play money into free tournament entries or site merchandise. The reward for the sites would be salaries priced more efficiently by the wisdom of the crowd.
Limits (e.g., no more than two players from the same MLB team) could be placed on lineup construction to make optimal strategies more intuitive. Sharp players could be restricted from playing with more casual players. For example, FanDuel has limited the number of entries per day to prevent players from entering every single contest. More radical changes to the game, including dropping the salary cap model entirely or offering bracket-style tournaments (like the NCAA basketball tournament), are also possible.
FanDuel CEO Nigel Eccles points out that, “Sports fans are passionate; they participate in fantasy leagues because DFS makes watching sports more exciting.” The rapid growth of DFS confirms his view. But at some point, will the bottom 5 percent of DFS players stop saying (like a 1950s Brooklyn Dodgers fan) “wait til next year?”
Ed Miller is an MIT-trained engineer and has written numerous best-selling poker strategy books including “The Course: Serious Hold ’Em Strategy For Smart Players.” Daniel Singer is senior advisor and leader of the McKinsey & Company Global Sports and Gaming Practice.