MLB Fantasy Baseball Projections

The growing sensation that is fantasy sports continues to climb on a global basis. The surge for sports betting to be spread in the states is gaining traction, marking this leisure activity only a few steps away from complete, global coverage. Projecting the sport is something that has been tried, practiced, and studied for many years. Baseball analysts take all sorts of factors into consideration before constructing a fantasy team. Weather, ball park factors, wind speed, and other such mentions are a few of the non-statistical items that the analysts use for roster consideration. While the raw numbers are as good of a prediction factor as any, they undermine the mentioned items above. Below we will take a deeper look into items analysts use when creating fantasy projections and pay some homage to the numbers when it comes to salary construction for daily fantasy play.

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The growing sensation that is fantasy sports continues to climb on a global basis. The surge for sports betting to be spread in the states is gaining traction, marking this leisure activity only a few steps away from complete, global coverage. Projecting the sport is something that has been tried, practiced, and studied for many years. Baseball analysts take all sorts of factors into consideration before constructing a fantasy team. Weather, ball park factors, wind speed, and other such mentions are a few of the non-statistical items that the analysts use for roster consideration. While the raw numbers are as good of a prediction factor as any, they undermine the mentioned items above. Below we will take a deeper look into items analysts use when creating fantasy projections and pay some homage to the numbers when it comes to salary construction for daily fantasy play.

Players GameOpposing TeamPerformance
Name Position Hand Salary Pts/$1K Projection Team Rain Wind ML OPP Runs Park Factor WOBA vs. H ISO vs. H K% vs. H ERA K% BB% AVG IP Floor L10 Ceil L10 Consistency
Yu Darvish Y. Darvish P R $11,200 3.38 37.9 CHC @ CHW 0% 6 mph -144 3.5 0.966 .325 .180 26.1 2.22 32.4% 4.8% 6.27 29.3 40.2 15%
Corbin Burnes C. Burnes P R $10,600 3.39 35.9 MIL @ STL 0% 1 mph 0 0.917 .306 .131 23.9 1.77 37.6% 10.0% 5.09 8.5 8.5 2%
Lance Lynn L. Lynn P R $9,500 3.51 33.3 HOU @ TEX 0% 4 mph 152 5.5 1.04 .310 .161 20.0 2.54 26.8% 7.3% 6.51 23.6 32.8 13%
Carlos Carrasco C. Carrasco P R $10,800 2.90 31.3 PIT @ CLE 0% 3 mph -280 2.2 0.972 .257 .120 25.4 2.90 28.8% 9.3% 5.64 30.6 39.2 87%
Clayton Kershaw C. Kershaw P L $9,700 3.02 29.3 LAA @ LAD 0% 1 mph -230 2.7 0.905 .316 .179 21.7 2.16 29.2% 4.0% 6.01 30.8 45.3 88%
Jose Berrios J. Berrios P R $9,200 3.12 28.7 CIN @ MIN 0% 4 mph -154 3.5 0.975 .317 .197 25.5 3.72 24.5% 9.6% 5.27 24.0 36.0 73%
Tyler Mahle T. Mahle P R $8,500 3.36 28.6 CIN @ MIN 0% 4 mph 132 4.9 0.975 .333 .218 25.2 3.59 29.6% 10.1% 5.01 19.9 28.2 20%
Chris Bassitt C. Bassitt P R $8,600 3.06 26.3 SEA @ OAK 26% 4 mph -205 2.7 0.98 .312 .148 23.6 2.57 20.8% 7.2% 5.60 22.1 26.6 23%
J.A. Happ J. Happ P L $7,700 3.42 26.3 MIA @ NYY 0% 2 mph -215 3.2 0.816 .334 .190 23.9 3.27 22.4% 7.5% 5.51 23.0 33.4 70%
Kris Bubic K. Bubic P L $8,100 3.22 26.1 DET @ KC 0% 6 mph -152 3.5 1.074 .376 .188 23.8 3.99 22.2% 9.6% 5.01 10.5 10.5 5%
Brad Keller B. Keller P R $8,300 3.00 24.9 DET @ KC 0% 6 mph -152 3.5 1.074 .289 .152 28.1 2.80 15.5% 8.8% 6.03 20.3 26.0 35%
Dylan Cease D. Cease P R $7,300 3.32 24.2 CHC @ CHW 0% 6 mph 128 4.8 0.966 .317 .179 26.3 3.55 16.7% 13.7% 4.84 25.6 26.6 42%
Jose Urquidy J. Urquidy P R $6,800 3.53 24 HOU @ TEX 0% 4 mph -176 3.4 1.04 .276 .142 25.1 2.84 13.8% 9.2% 5.55 7.2 7.2 3%
Cristian Javier C. Javier P R $7,400 3.23 23.9 HOU @ TEX 0% 4 mph -176 3.4 1.04 .276 .142 25.1 3.36 25.3% 8.9% 4.38 10.3 10.3 10%
Spencer Turnbull S. Turnbull P R $7,400 3.12 23.1 DET @ KC 0% 6 mph 132 4.9 1.074 .307 .157 24.7 3.87 21.1% 12.4% 5.12 23.5 28.6 55%
Andrew Heaney A. Heaney P L $8,700 2.48 21.6 LAA @ LAD 0% 1 mph 198 5.6 0.905 .323 .169 21.3 4.05 26.1% 6.6% 5.65 24.4 31.8 95%
Kyle Wright K. Wright P R $6,400 3.16 20.2 BOS @ ATL 8% 2 mph -162 4.1 1.003 .337 .191 23.9 5.79 18.2% 14.7% 4.44 9.9 9.9 13%
Kyle Cody K. Cody P R $5,700 3.37 19.2 HOU @ TEX 0% 4 mph 152 5.5 1.04 .310 .161 20.0 1.57 23.6% 13.9% 2.46 4.1 4.1 3%
Yusei Kikuchi Y. Kikuchi P L $7,200 2.50 18 SEA @ OAK 26% 4 mph 182 5.2 0.98 .298 .152 25.0 5.93 24.6% 9.9% 5.12 21.6 26.1 63%
Michael Fulmer M. Fulmer P R $5,600 3.11 17.4 DET @ KC 0% 6 mph 132 4.9 1.074 .307 .157 24.7 8.25 16.4% 9.8% 2.79 19.5 30.1 88%
Mitch Keller M. Keller P R $6,300 2.33 14.7 PIT @ CLE 0% 3 mph 235 5.6 0.972 .304 .142 24.1 3.33 19.7% 15.2% 4.05 11.6 11.6 25%
Sandy Alcantara S. Alcantara P R $8,100 1.75 14.2 MIA @ NYY 0% 2 mph 184 6.2 0.816 .349 .211 21.3 3.16 20.7% 9.0% 5.70 20.8 25.5 75%
Michael Lorenzen M. Lorenzen P