My method for finding sleeper hitters involves a data-driven system that sets various benchmarks for players and it coldly tells me who is destined to break out this season based on that data.
The projections likely will not predict a sleeper who surprises everyone but they will give you a good idea of which players are being undervalued, perhaps due to public perception about them.
Winning your fantasy drafts isn't just about finding super sleepers though. It's also about just finding good value players to fill your team with.
Those that met the criteria averaged a 3.76 ERA, 1.22 WHIP and 9.3 K/9 over the 2017 season. Those that didn't meet the criteria averaged a 4.52 ERA, 1.37 WHIP and 8.0 K/9 meanwhile. I prefer the numbers from
For 2017, we have 134 starting pitchers currently on draft boards. Only 37 (28%) of them met my data-heavy criteria for identifying the best fantasy pitchers. Find out who they were in this post.
Using new batted ball data, researchers are able to better identify a hitter's true skill set and compare his outcomes over a season to the expected outcomes for someone with his hitting profile. We can take advantage of this