Draftkingsshowdown - MLB
2018-08-09
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Pos Team Opp Win % Runs vs. Pitcher Hand ERA/AVG wOBA ISO Avg innings K/9 WHIP Order Salary Ceiling Avg FC Proj My Proj
Exp.
Used
Con. Value Actual Score Actual Val
Junior Guerra
P MIL vs SD 63.6% 3.61 Erlin, L 3.20 R 3.42 0.000 0.000 5.50 8.7 1.26 15700 36.9 23.8 15.53 15.53 % % 55 1 8.90 0.6
Robbie Erlin
P SD @ MIL 36.4% 4.89 Guerra, R 3.42 L 3.20 0.000 0.000 2.20 7.4 0.93 11300 18.8 10.9 5.60 5.60 % % 39 0.5 8.45 0.7
Christian Yelich
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 L 0.320 0.396 0.221 0.00 0.0 0.00 2 10400 29.5 10.1 13.43 13.43 % % 60 1.3 2.00 0.2
Jesus Aguilar
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.277 0.395 0.310 0.00 0.0 0.00 3 10200 30.9 8.6 12.46 12.46 % % 46 1.2 0.00
Ryan Braun
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.248 0.319 0.198 0.00 0.0 0.00 4 9700 26.5 6.8 11.08 11.08 % % 43 1.1 0.00
Lorenzo Cain
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.294 0.362 0.121 0.00 0.0 0.00 1 9200 25.8 8.4 10.94 10.94 % % 56 1.2 6.00 0.7
Travis Shaw
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 L 0.249 0.358 0.238 0.00 0.0 0.00 6 8800 22.9 7.8 8.20 8.20 % % 53 0.9 16.00 1.8
Eric Hosmer
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 L 0.252 0.314 0.134 0.00 0.0 0.00 2 8300 21.2 6.9 7.94 7.94 % % 52 1 0.00
Hernan Perez
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.262 0.315 0.167 0.00 0.0 0.00 5 8000 21.4 5.3 8.35 8.35 % % 39 1 13.00 1.6
Travis Jankowski
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 L 0.252 0.299 0.068 0.00 0.0 0.00 1 7100 18.7 5.7 6.95 6.95 % % 49 1 10.00 1.4
Jonathan Schoop
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.226 0.279 0.172 0.00 0.0 0.00 7 6500 20.3 6.6 6.49 6.49 % % 48 1 13.00 2
Hunter Renfroe
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.237 0.328 0.228 0.00 0.0 0.00 3 6200 21.1 6.3 7.61 7.61 % % 47 1.2 27.00 4.4
Cory Spangenberg
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 L 0.236 0.278 0.139 0.00 0.0 0.00 5 5600 17.7 4.6 6.05 6.05 % % 37 1.1 5.00 0.9
Franmil Reyes
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.254 0.338 0.246 0.00 0.0 0.00 4 5200 21.2 5.8 6.95 6.95 % % 39 1.3 24.00 4.6
Freddy Galvis
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 B 0.227 0.276 0.108 0.00 0.0 0.00 7 5100 15.7 5.5 4.22 4.22 % % 48 0.8 20.00 3.9
Manny Pina
H MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.233 0.288 0.131 0.00 0.0 0.00 8 4900 15.7 5.4 4.41 4.41 % % 48 0.9 10.00 2
Jose Pirela
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.252 0.291 0.093 0.00 0.0 0.00 6 4800 16 5.3 4.53 4.53 % % 46 0.9 10.00 2.1
A.J. Ellis
H SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.292 0.350 0.083 0.00 0.0 0.00 8 4200 11.5 5.0 3.32 3.32 % % 59 0.8 4.00 1
Corey Knebel
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.000 0.000 1.00 12.6 1.18 3100 11 7.9 0.64 0.64 % % 67 0.2 -10.40
Josh Hader
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 L 0.000 0.000 1.50 16.2 0.83 2900 15.2 13.2 0.76 0.76 % % 73 0.3 0.00
Kirby Yates
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 L 0.000 0.000 1.00 11.7 0.90 2700 7.7 7.4 0.42 0.42 % % 75 0.2 16.30 6
Craig Stammen
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.000 0.000 1.10 10.6 1.05 2500 12 7.3 0.47 0.47 % % 61 0.2 9.90 4
Jeremy Jeffress
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.000 0.000 1.00 10.8 0.97 2400 8 7.2 0.64 0.64 % % 74 0.3 9.30 3.9
Phil Maton
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.000 0.000 1.10 9.0 1.31 2300 11.5 6.1 0.41 0.41 % % 54 0.2 7.40 3.2
Joakim Soria
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.000 0.000 1.00 10.8 1.16 2000 10 7.1 0.65 0.65 % % 67 0.3 -1.30
Jacob Barnes
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.000 0.000 1.10 9.0 1.39 2000 9.4 5.9 0.60 0.60 % % 63 0.3 3.00 1.5
Jose Castillo
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 L 0.000 0.000 1.10 11.5 0.94 2000 12.1 7.0 0.40 0.40 % % 58 0.2 8.20 4.1
Dan Jennings
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 L 0.000 0.000 1.00 7.2 1.26 2000 9.3 5.5 0.59 0.59 % % 60 0.3 6.30 3.2
Robert Stock
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 0.000 0.000 1.30 10.4 1.43 2000 16 7.7 0.44 0.44 % % 50 0.2 0.00
Trey Wingenter
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 0.000 0.000 1.00 13.5 0.00 2000 3.6 8.4 0.64 0.64 % % 0 0.3 0.00
Alec Asher
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 R 0.000 0.000 1.50 6.0 1.00 2000 8.8 8.0 0.69 0.69 % % 0 0.3
Taylor Williams
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 B 0.000 0.000 1.00 10.8 1.45 2000 9.8 5.7 0.52 0.52 % % 59 0.3 0.00
Miguel Diaz
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.000 0.000 2.00 22.5 0.50 2000 0.4 22.2 0.44 0.44 % % 0 0.2
Colten Brewer
RP SD @ MIL 36.4% 3.61 Guerra, R 3.42 R 0.000 0.000 0.70 3.9 3.50 2000 2.3 2.2 0.64 0.64 % % 81 0.3 0.00
Matt Albers
RP MIL vs SD 63.6% 4.89 Erlin, L 3.20 L 0.000 0.000 1.10 8.2 1.38 2000 12.9 5.4 0.54 0.54 % % 43 0.3 0.00
Justin Verlander
P HOU vs SEA 59% 2.93 Paxton, L 3.44 R 2.19 0.000 0.000 6.50 11.8 0.88 17300 61.9 39.1 30.61 30.61 % % 60 1.8 -7.70
James Paxton
P SEA @ HOU 41% 3.57 Verlander, R 2.19 L 3.44 0.000 0.000 6.10 11.4 1.06 13600 59.7 36.2 18.58 18.58 % % 43 1.4 12.75 0.9
Alex Bregman
H HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.274 0.386 0.240 0.00 0.0 0.00 1 10100 23.5 9.5 8.60 8.60 % % 61 0.9 3.00 0.3
Evan Gattis
H HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.245 0.338 0.248 0.00 0.0 0.00 4 9500 24.6 7.1 6.74 6.74 % % 37 0.7 0.00
Nelson Cruz
H SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.270 0.390 0.293 0.00 0.0 0.00 4 9200 24.6 8.9 6.94 6.94 % % 51 0.8 5.00 0.5
Mitch Haniger
H SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.267 0.357 0.191 0.00 0.0 0.00 1 8800 20.9 8.2 5.81 5.81 % % 54 0.7 31.00 3.5
Denard Span
H SEA @ HOU 41% 2.93 Verlander, R 2.19 L 0.270 0.342 0.157 0.00 0.0 0.00 2 8400 18.4 7.2 5.55 5.55 % % 55 0.7 33.00 3.9
Jean Segura
H SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.310 0.336 0.124 0.00 0.0 0.00 3 8000 21.2 8.6 5.72 5.72 % % 55 0.7 26.00 3.3
Dee Gordon
H SEA @ HOU 41% 2.93 Verlander, R 2.19 L 0.281 0.281 0.064 0.00 0.0 0.00 9 7700 15.1 7.1 2.27 2.27 % % 55 0.3 4.00 0.5
Jake Marisnick
H HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.212 0.292 0.194 0.00 0.0 0.00 8 7400 17.5 5.1 3.79 3.79 % % 33 0.5 9.00 1.2
Tyler White
H HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.267 0.388 0.267 0.00 0.0 0.00 5 7200 20.2 5.7 5.41 5.41 % % 35 0.8 25.00 3.5
Marwin Gonzalez
H HOU vs SEA 59% 3.57 Paxton, L 3.44 B 0.236 0.311 0.150 0.00 0.0 0.00 2 7100 19.7 6.1 6.84 6.84 % % 47 1 11.00 1.5
Tony Kemp
H HOU vs SEA 59% 3.57 Paxton, L 3.44 L 0.288 0.354 0.135 0.00 0.0 0.00 9 6500 14.3 6.3 2.72 2.72 % % 54 0.4 19.00 2.9
Yulieski Gurriel
H HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.285 0.310 0.112 0.00 0.0 0.00 3 6200 19.5 7.2 6.22 6.22 % % 54 1 0.00
J.D. Davis
H HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.183 0.233 0.061 0.00 0.0 0.00 6 5600 13.7 3.6 4.42 4.42 % % 36 0.8 0.00
Kyle Seager
H SEA @ HOU 41% 2.93 Verlander, R 2.19 L 0.230 0.300 0.193 0.00 0.0 0.00 5 5300 19.8 6.9 4.84 4.84 % % 46 0.9 8.00 1.5
Ryon Healy
H SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.232 0.298 0.202 0.00 0.0 0.00 7 4900 20.3 6.7 3.20 3.20 % % 36 0.7 0.00
Cameron Maybin
H SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.257 0.313 0.083 0.00 0.0 0.00 8 4800 12.5 4.4 2.56 2.56 % % 43 0.5 10.00 2.1
Mike Zunino
H SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.209 0.302 0.234 0.00 0.0 0.00 6 4700 18.4 6.2 3.49 3.49 % % 40 0.7 0.00
Martin Maldonado
H HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.218 0.272 0.111 0.00 0.0 0.00 7 4200 15.9 5.1 3.49 3.49 % % 39 0.8 5.00 1.2
Edwin Diaz
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 1.00 15.3 0.80 2900 10 9.4 0.64 0.64 % % 75 0.2 15.30 5.3
Hector Rondon
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 0.90 12.0 1.08 2800 10.7 7.6 0.82 0.82 % % 67 0.3 0.00
Collin McHugh
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 1.40 11.6 0.72 2500 12 10.5 1.08 1.08 % % 74 0.4 0.00
Alex Colome
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 1.00 9.0 1.23 2400 9.9 5.9 0.61 0.61 % % 61 0.3 5.20 2.2
Ryan Pressly
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 1.00 12.6 1.24 2300 10 6.7 0.82 0.82 % % 66 0.4 0.00
James Pazos
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 0.80 7.9 1.12 2200 7.8 4.7 0.49 0.49 % % 61 0.2 0.00
Roberto Osuna
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 1.00 7.2 1.04 2100 5.4 5.3 0.78 0.78 % % 78 0.4 3.30 1.6
Brad Peacock
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 1.20 12.8 0.90 2000 12.6 8.6 0.99 0.99 % % 66 0.5 21.00 10.5
Cionel Perez
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 L 0.000 0.000 1.20 9.0 1.33 2000 7.1 6.1 1.21 1.21 % % 76 0.6 0.00
Sam Tuivailala
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 1.10 7.4 1.41 2000 9.2 5.4 0.57 0.57 % % 60 0.3 0.00
Adam Warren
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 1.20 12.0 1.43 2000 10.2 7.7 0.63 0.63 % % 69 0.3 0.00
Will Harris
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 0.90 11.0 1.14 2000 8.1 5.8 0.78 0.78 % % 68 0.4 5.00 2.5
Nick Vincent
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 0.90 8.0 1.21 2000 10.3 4.9 0.54 0.54 % % 50 0.3 3.70 1.9
Joe Smith
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 0.80 10.1 0.92 2000 9 5.4 0.81 0.81 % % 62 0.4 9.30 4.7
Chasen Bradford
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 1.20 6.8 1.13 2000 10.1 6.3 0.55 0.55 % % 62 0.3
Tony Sipp
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 L 0.000 0.000 0.80 10.1 1.04 2000 9.4 5.4 0.82 0.82 % % 60 0.4 9.30 4.7
Zach Duke
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 L 0.000 0.000 0.80 10.1 1.62 2000 8.9 4.5 0.47 0.47 % % 53 0.2 -0.60
David Paulino
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 0.00 0.0 0.00 2000 1.3 1.33 1.33 % % 0 0.7
Rob Whalen
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 4.00 0.0 0.50 2000 1 14.4 0.95 0.95 % % 0 0.5
Andrew Moore
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 0.00 0.0 0.00 2000 0.8 0.77 0.77 % % 0 0.4
Brady Rodgers
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 0.00 0.0 0.00 2000 1.2 1.24 1.24 % % 0 0.6
Francis Martes
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 0.00 0.0 0.00 2000 0.7 0.68 0.68 % % 0 0.3
Casey Lawrence
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 2.00 6.3 1.60 2000 12 6.4 0.61 0.61 % % 55 0.3 0.00
Chris Devenski
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 1.00 9.9 0.98 2000 9.7 6.4 0.75 0.75 % % 65 0.4 0.00
Juan Nicasio
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 1.00 10.8 1.21 2000 11.8 5.8 0.53 0.53 % % 51 0.3 0.00
Tony Zych
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 0.00 0.0 0.00 2000 0.4 0.44 0.44 % % 0 0.2
Justin Grimm
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 0.90 6.0 1.89 2000 10.6 2.4 0.45 0.45 % % 0 0.2
Dan Altavilla
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 0.90 10.0 1.26 2000 6.8 6.0 0.55 0.55 % % 74 0.3 0.00
David Phelps
RP SEA @ HOU 41% 2.93 Verlander, R 2.19 R 0.000 0.000 0.00 0.0 0.00 2000 0.6 0.58 0.58 % % 0 0.3
Jandel Gustave
RP HOU vs SEA 59% 3.57 Paxton, L 3.44 R 0.000 0.000 0.00 0.0 0.00 2000 1.2 1.21 1.21 % % 0 0.6
Andrew Suarez
P SF vs PIT 59.2% 3.60 Nova, R 4.55 L 4.60 0.000 0.000 5.60 7.7 1.32 13300 37.3 19.7 12.74 12.74 % % 38 1 9.05 0.7
Ivan Nova
P PIT @ SF 40.8% 4.41 Suarez, L 4.60 R 4.55 0.000 0.000 5.70 6.6 1.31 12800 40.5 21.2 9.81 9.81 % % 28 0.8 16.50 1.3
Gregory Polanco
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 L 0.242 0.351 0.247 0.00 0.0 0.00 3 10200 25.6 8.3 9.15 9.15 % % 51 0.9 9.00 0.9
Starling Marte
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.281 0.342 0.192 0.00 0.0 0.00 2 10000 24.6 9.1 9.03 9.03 % % 57 0.9 10.00 1
Andrew McCutchen
H SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.260 0.342 0.158 0.00 0.0 0.00 1 9900 23.5 7.6 8.92 8.92 % % 52 0.9 0.00
David Freese
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.276 0.340 0.172 0.00 0.0 0.00 4 9200 20.1 4.8 7.32 7.32 % % 34 0.8 23.00 2.5
Evan Longoria
H SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.258 0.316 0.193 0.00 0.0 0.00 3 8800 22.2 7.1 8.44 8.44 % % 52 1 4.00 0.5
Buster Posey
H SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.289 0.342 0.111 0.00 0.0 0.00 2 8500 19.6 6.9 8.20 8.20 % % 59 1 0.00
Josh Bell
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 B 0.264 0.330 0.139 0.00 0.0 0.00 6 7800 17.3 6.7 5.33 5.33 % % 55 0.7 18.00 2.3
Adam Frazier
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 L 0.280 0.344 0.160 0.00 0.0 0.00 1 7500 18.9 4.7 7.20 7.20 % % 38 1 15.00 2
Brandon Crawford
H SF vs PIT 59.2% 4.41 Nova, R 4.55 L 0.281 0.346 0.159 0.00 0.0 0.00 4 6800 22.5 7.0 7.95 7.95 % % 48 1.2 7.00 1
Josh Harrison
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.250 0.285 0.103 0.00 0.0 0.00 7 6500 18.7 6.3 5.06 5.06 % % 46 0.8 8.00 1.2
Steven Duggar
H SF vs PIT 59.2% 4.41 Nova, R 4.55 L 0.247 0.294 0.111 0.00 0.0 0.00 8 6200 17 6.5 4.41 4.41 % % 52 0.7 12.00 1.9
Austin Slater
H SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.311 0.381 0.054 0.00 0.0 0.00 5 5900 18.3 5.6 5.81 5.81 % % 44 1 5.00 0.8
Alen Hanson
H SF vs PIT 59.2% 4.41 Nova, R 4.55 B 0.273 0.318 0.180 0.00 0.0 0.00 6 5600 16.7 5.9 4.12 4.12 % % 47 0.7 12.00 2.1
Jordy Mercer
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.260 0.323 0.141 0.00 0.0 0.00 8 5300 15.1 6.0 3.98 3.98 % % 54 0.8 2.00 0.4
Joe Panik
H SF vs PIT 59.2% 4.41 Nova, R 4.55 L 0.233 0.285 0.107 0.00 0.0 0.00 7 5200 15.4 5.3 4.95 4.95 % % 51 1 11.00 2.1
Elias Diaz
H PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.265 0.321 0.164 0.00 0.0 0.00 5 5000 18.4 5.6 6.28 6.28 % % 46 1.3 19.00 3.8
Felipe Vazquez
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 0.000 0.000 1.00 11.7 1.05 2900 9.8 8.9 0.50 0.50 % % 74 0.2 0.00
Will Smith
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 1.00 12.6 0.85 2700 11.2 8.1 0.64 0.64 % % 67 0.2 0.00
Keone Kela
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.000 0.000 1.00 10.8 1.16 2600 10.3 7.6 0.50 0.50 % % 68 0.2 0.00
Tony Watson
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 L 0.000 0.000 1.00 9.0 0.95 2400 8.2 6.1 0.58 0.58 % % 69 0.2 0.00
Kyle Crick
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 L 0.000 0.000 0.90 10.0 1.17 2300 8.6 6.1 0.49 0.49 % % 67 0.2 0.00
Mark Melancon
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 0.90 7.0 1.48 2200 8.5 4.6 0.55 0.55 % % 57 0.3 1.40 0.6
Pierce Johnson
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 1.30 6.2 1.21 2000 12 5.8 0.63 0.63 % % 51 0.3 3.30 1.7
Casey Sadler
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.000 0.000 0.00 0.0 0.00 2000 0.7 0.74 0.74 % % 0 0.4 5.10 2.6
Richard Rodriguez
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.000 0.000 1.10 10.6 1.13 2000 14 7.0 0.43 0.43 % % 52 0.2 9.40 4.7
Reyes Moronta
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 1.00 10.8 0.88 2000 9 7.2 0.61 0.61 % % 71 0.3 6.90 3.5
Edgar Santana
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.000 0.000 1.00 8.1 1.15 2000 8.7 5.4 0.48 0.48 % % 62 0.2 0.00
Derek Law
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 1.80 9.0 1.29 2000 12.2 9.2 0.59 0.59 % % 69 0.3 -0.20
Dovydas Neverauskas
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.000 0.000 1.20 9.0 1.83 2000 12.4 4.3 0.45 0.45 % % 31 0.2 9.40 4.7
Sam Dyson
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 1.00 6.3 1.06 2000 8.4 5.2 0.59 0.59 % % 63 0.3 0.00
Ray Black
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 0.000 0.000 1.00 11.7 0.77 2000 9.6 6.6 0.65 0.65 % % 66 0.3 0.00
Chris Heston
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 0.00 0.0 0.00 2000 0.8 0.76 0.76 % % 0 0.4
Nick Burdi
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 0.000 0.000 0.00 0.0 0.00 2000 0.7 0.74 0.74 % % 0 0.4
A.J. Schugel
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.000 0.000 0.00 0.0 0.00 2000 0.5 0.47 0.47 % % 0 0.2
Hunter Strickland
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 0.90 9.0 1.23 2000 7.9 5.3 0.58 0.58 % % 65 0.3 0.00
Jose Valdez
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 1.30 6.9 1.80 2000 10.2 3.0 0.52 0.52 % % 19 0.3
Julian Fernandez
RP SF vs PIT 59.2% 4.41 Nova, R 4.55 R 0.000 0.000 0.00 0.0 0.00 2000 0.9 0.92 0.92 % % 0 0.5
Bo Schultz
RP PIT @ SF 40.8% 3.60 Suarez, L 4.60 R 0.000 0.000 0.00 0.0 0.00 2000 0.6 0.62 0.62 % % 0 0.3
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Add Stack (you can add up to 3) Click here for more info

If you want to create lineups with players from the same team (otherwise known as stacking) this is where to do it. This only applies to Hitters, and you can add a single stack with the remaining hitters not needing to be from the same team, or you can add multiple stacks per lineup so that all of the hitters are paired with other hitters from the same team.

To get started, click on the Add Stack link. You will need to select which teams you would like possibly used for the first stack. You can pick as many teams as you wish. You then will need to select a stack size, which is the number of hitters used from one of the selected teams.

If you want, you can add a 2nd and 3rd stack the same way as above. This is how you can create a lineup with 4 batters from 1 team, and 4 batters from another.

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  1. Take a tour

    Check out the features of Lineup Rewind.

  2. Sport Selection

    Select a sport (NBA, NFL) from this drop down menu.

  3. Site Selection

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  4. Game Filter

    Use the Game Filter to remove any games you dont want to use. Useful for contests like Late Night NBA, or Sun/Mon night NFL.

  5. Score filter

    Select between projected score and actual scores from the day.

  6. Calculate Teams

    Hit 'calculate' to have Fantasy Cruncher create the best teams based on the actual data.

  7. Tour End

    Thanks for checking out the tour! If you want to use this tool to crunch numbers for fresh games, use lineup cruncher instead! If you have any more questions, check out our tutorials, browse the forums, or send us a message at support@fantasycruncher.com.