We have pushed out an update to the FC software, click here to get a full rundown Dismiss (Do not show again) ×
Fanduel - MLB
2018-04-16
Filter Players
Apply filters
Batting Order
Projected Score
Salary
Value
Consistency
  • Pitchers
  • Hitters
  • ALL
  • C1B
  • 2B
  • 3B
  • SS
  • OF
  • All
  • My Pool
  • Excluded Players
  • Locks
  • Injuries
All
None
My Projections
Add Selected to Group
Create New Group
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
Luis Severino
P NYY vs MIA 75.6% 2.98 Smith, L 4.73 R 3.50 0.000 0.000 6.00 10.1 1.17 10100 65.7 36.3 39.63 39.63 % % 64 3.9 52.0 5.1
Caleb Smith
P MIA @ NYY 24.4% 5.52 Severino, R 3.50 L 4.73 0.000 0.000 4.40 12.9 1.50 5900 30.4 25.3 9.88 9.88 % % 59 1.7 1.0 0.2
Aaron Judge
OF NYY vs MIA 75.6% 5.52 Smith, L 4.73 R 0.340 0.451 0.226 0.00 0.0 0.00 2 5100 36.7 15.3 21.07 21.07 % % 74 4.1 31.4 6.2
Giancarlo Stanton
OF NYY vs MIA 75.6% 5.52 Smith, L 4.73 R 0.220 0.327 0.237 0.00 0.0 0.00 3 4800 49.2 12.0 19.83 19.83 % % 39 4.1 9.2 1.9
Didi Gregorius
SS NYY vs MIA 75.6% 5.52 Smith, L 4.73 L 0.311 0.452 0.378 0.00 0.0 0.00 4 4300 53.9 15.8 17.76 17.76 % % 43 4.1 47.1 11
Gary Sanchez
C1B NYY vs MIA 75.6% 5.52 Smith, L 4.73 R 0.140 0.227 0.260 0.00 0.0 0.00 5 3900 44.4 9.8 14.50 14.50 % % 24 3.7 25.7 6.6
Brett Gardner
OF NYY vs MIA 75.6% 5.52 Smith, L 4.73 L 0.264 0.337 0.113 0.00 0.0 0.00 1 3600 34.1 12.2 14.87 14.87 % % 61 4.1 15.4 4.3
Aaron Hicks
OF NYY vs MIA 75.6% 5.52 Smith, L 4.73 R 0.364 0.549 0.546 0.00 0.0 0.00 6 3400 52.8 17.6 11.09 11.09 % % 41 3.3 16.0 4.7
Justin Bour
C1B MIA @ NYY 24.4% 2.98 Severino, R 3.50 L 0.208 0.311 0.245 0.00 0.0 0.00 4 3100 31.3 9.2 7.17 7.17 % % 34 2.3 9.5 3.1
Tyler Austin
C1B NYY vs MIA 75.6% 5.52 Smith, L 4.73 R 0.265 0.372 0.235 0.00 0.0 0.00 7 3000 32 11.9 8.18 8.18 % % 50 2.7 21.7 7.2
Starlin Castro
2B MIA @ NYY 24.4% 2.98 Severino, R 3.50 R 0.295 0.313 0.033 0.00 0.0 0.00 3 3000 17.1 8.9 6.94 6.94 % % 71 2.3 0.0
Miguel Rojas
SS MIA @ NYY 24.4% 2.98 Severino, R 3.50 R 0.288 0.334 0.136 0.00 0.0 0.00 2 2900 21 8.6 6.71 6.71 % % 59 2.3 9.0 3.1
Derek Dietrich
OF MIA @ NYY 24.4% 2.98 Severino, R 3.50 L 0.288 0.327 0.091 0.00 0.0 0.00 1 2800 22.1 8.6 6.48 6.48 % % 55 2.3 0.0
Ronald Torreyes
2B NYY vs MIA 75.6% 5.52 Smith, L 4.73 R 0.429 0.434 0.143 0.00 0.0 0.00 9 2400 16.9 7.0 4.26 4.26 % % 55 1.8 6.2 2.6
Miguel Andujar
3B NYY vs MIA 75.6% 5.52 Smith, L 4.73 R 0.156 0.183 0.094 0.00 0.0 0.00 8 2300 22.8 5.9 5.61 5.61 % % 27 2.4 21.7 9.4
Bryan Holaday
C1B MIA @ NYY 24.4% 2.98 Severino, R 3.50 R 0.167 0.226 0.042 0.00 0.0 0.00 9 2100 10.3 3.4 2.09 2.09 % % 40 1 6.2 3
Tomas Telis
C1B MIA @ NYY 24.4% 2.98 Severino, R 3.50 B 0.214 0.259 0.000 0.00 0.0 0.00 6 2000 9.2 1.5 3.66 3.66 % % 7 1.8 3.0 1.5
J.B. Shuck
OF MIA @ NYY 24.4% 2.98 Severino, R 3.50 L 0.500 0.553 0.200 0.00 0.0 0.00 8 2000 20.7 12.2 2.73 2.73 % % 63 1.4 0.0
Cameron Maybin
OF MIA @ NYY 24.4% 2.98 Severino, R 3.50 R 0.244 0.303 0.098 0.00 0.0 0.00 7 2000 15.1 5.1 3.05 3.05 % % 41 1.5 3.0 1.5
German Marquez
P COL @ PIT 43.9% 4.27 Brault, L 3.46 R 4.97 0.000 0.000 4.20 7.1 1.58 5900 40.1 15.7 16.02 16.02 % % 23 2.7 40.0 6.8
Steven Brault
P PIT vs COL 56.1% 3.73 Marquez, R 4.97 L 3.46 0.000 0.000 3.30 6.8 1.46 5600 39.9 16.5 16.89 16.89 % % 30 3 6.0 1.1
Gregory Polanco
OF PIT vs COL 56.1% 4.27 Marquez, R 4.97 L 0.214 0.357 0.339 0.00 0.0 0.00 2 4400 46.2 15.5 14.33 14.33 % % 49 3.3 6.2 1.4
Charlie Blackmon
OF COL @ PIT 43.9% 3.73 Brault, L 3.46 L 0.298 0.462 0.447 0.00 0.0 0.00 3 4300 38.4 17.4 13.98 13.98 % % 65 3.3 25.2 5.9
Corey Dickerson
OF PIT vs COL 56.1% 4.27 Marquez, R 4.97 L 0.379 0.426 0.224 0.00 0.0 0.00 5 4100 29.4 15.2 11.34 11.34 % % 70 2.8 3.0 0.7
Starling Marte
OF PIT vs COL 56.1% 4.27 Marquez, R 4.97 R 0.305 0.405 0.254 0.00 0.0 0.00 3 3900 36 14.0 12.91 12.91 % % 59 3.3 21.5 5.5
DJ LeMahieu
2B COL @ PIT 43.9% 3.73 Brault, L 3.46 R 0.309 0.416 0.294 0.00 0.0 0.00 1 3800 39.3 12.9 12.05 12.05 % % 47 3.2 6.2 1.6
Josh Bell
C1B PIT vs COL 56.1% 4.27 Marquez, R 4.97 B 0.311 0.355 0.131 0.00 0.0 0.00 4 3600 27.8 11.7 11.81 11.81 % % 66 3.3 0.0
Trevor Story
SS COL @ PIT 43.9% 3.73 Brault, L 3.46 R 0.177 0.272 0.177 0.00 0.0 0.00 6 3100 26.1 8.2 8.46 8.46 % % 46 2.7 37.7 12.2
Colin Moran
3B PIT vs COL 56.1% 4.27 Marquez, R 4.97 L 0.311 0.366 0.111 0.00 0.0 0.00 7 2900 28.5 9.2 6.75 6.75 % % 41 2.3 3.5 1.2
Carlos Gonzalez
OF COL @ PIT 43.9% 3.73 Brault, L 3.46 L 0.237 0.299 0.220 0.00 0.0 0.00 5 2900 29.7 9.2 8.70 8.70 % % 43 3 6.2 2.1
Jordy Mercer
SS PIT vs COL 56.1% 4.27 Marquez, R 4.97 R 0.250 0.320 0.091 0.00 0.0 0.00 8 2800 17.1 6.6 5.48 5.48 % % 56 2 3.0 1.1
Francisco Cervelli
C1B PIT vs COL 56.1% 4.27 Marquez, R 4.97 R 0.326 0.439 0.304 0.00 0.0 0.00 6 2700 30.7 13.5 7.21 7.21 % % 56 2.7 12.2 4.5
Ian Desmond
C1B COL @ PIT 43.9% 3.73 Brault, L 3.46 R 0.190 0.253 0.224 0.00 0.0 0.00 4 2600 31.4 8.7 9.37 9.37 % % 37 3.6 6.2 2.4
Gerardo Parra
OF COL @ PIT 43.9% 3.73 Brault, L 3.46 L 0.231 0.272 0.077 0.00 0.0 0.00 8 2500 17.2 5.8 4.92 4.92 % % 47 2 6.0 2.4
Chris Iannetta
C1B COL @ PIT 43.9% 3.73 Brault, L 3.46 R 0.273 0.345 0.114 0.00 0.0 0.00 2 2300 25.1 8.4 8.48 8.48 % % 51 3.7 12.7 5.5
Adam Frazier
OF PIT vs COL 56.1% 4.27 Marquez, R 4.97 L 0.241 0.285 0.138 0.00 0.0 0.00 1 2200 22.6 4.8 8.34 8.34 % % 26 3.8 0.0
Pat Valaika
SS COL @ PIT 43.9% 3.73 Brault, L 3.46 R 0.065 0.089 0.032 0.00 0.0 0.00 7 2000 9.1 1.0 4.71 4.71 % % 0 2.4 3.0 1.5
Blake Snell
P TB vs TEX 64.3% 3.15 Perez, L 11.88 L 3.60 0.000 0.000 5.00 10.3 1.20 7100 70.6 29.3 32.73 32.73 % % 35 4.6 53.0 7.5
Martin Perez
P TEX @ TB 35.7% 4.35 Snell, L 3.60 L 11.88 0.000 0.000 4.20 3.2 2.76 5700 41.7 3.5 16.70 16.70 % % 0 2.9 3.0 0.5
Joey Gallo
C1B TEX @ TB 35.7% 3.15 Snell, L 3.60 L 0.214 0.300 0.257 0.00 0.0 0.00 5 3200 27.9 10.7 7.92 7.92 % % 53 2.5 18.7 5.8
Adrian Beltre
3B TEX @ TB 35.7% 3.15 Snell, L 3.60 R 0.283 0.345 0.133 0.00 0.0 0.00 4 3100 20.5 7.9 7.79 7.79 % % 60 2.5 3.0 1
Matt Duffy
3B TB vs TEX 64.3% 4.35 Perez, L 11.88 R 0.254 0.280 0.085 0.00 0.0 0.00 1 2800 21.9 8.0 9.62 9.62 % % 62 3.4 9.0 3.2
Shin-Soo Choo
OF TEX @ TB 35.7% 3.15 Snell, L 3.60 L 0.209 0.289 0.179 0.00 0.0 0.00 1 2800 26 8.9 7.41 7.41 % % 48 2.6 6.2 2.2
Mallex Smith
OF TB vs TEX 64.3% 4.35 Perez, L 11.88 L 0.350 0.381 0.125 0.00 0.0 0.00 9 2800 24.8 8.3 3.93 3.93 % % 37 1.4 18.2 6.5
Carlos Gomez
OF TB vs TEX 64.3% 4.35 Perez, L 11.88 R 0.175 0.246 0.158 0.00 0.0 0.00 3 2700 27.5 7.3 10.27 10.27 % % 41 3.8 6.5 2.4
C.J. Cron
C1B TB vs TEX 64.3% 4.35 Perez, L 11.88 R 0.216 0.266 0.118 0.00 0.0 0.00 4 2500 20.9 6.7 9.62 9.62 % % 58 3.8 21.7 8.7
Jurickson Profar
SS TEX @ TB 35.7% 3.15 Snell, L 3.60 B 0.200 0.306 0.057 0.00 0.0 0.00 2 2400 20.7 5.9 6.28 6.28 % % 39 2.6 3.0 1.3
Daniel Robertson
2B TB vs TEX 64.3% 4.35 Perez, L 11.88 R 0.261 0.382 0.044 0.00 0.0 0.00 6 2400 20.9 7.0 6.72 6.72 % % 49 2.8 21.7 9
Nomar Mazara
OF TEX @ TB 35.7% 3.15 Snell, L 3.60 L 0.298 0.321 0.070 0.00 0.0 0.00 3 2300 20.2 6.3 6.91 6.91 % % 47 3 28.7 12.5
Isiah Kiner-Falefa
2B TEX @ TB 35.7% 3.15 Snell, L 3.60 R 0.154 0.219 0.231 0.00 0.0 0.00 8 2200 18 4.3 3.41 3.41 % % 15 1.6 0.0
Robinson Chirinos
C1B TEX @ TB 35.7% 3.15 Snell, L 3.60 R 0.182 0.298 0.205 0.00 0.0 0.00 7 2100 24.8 7.9 4.31 4.31 % % 35 2.1 0.0
Renato Nunez
OF TEX @ TB 35.7% 3.15 Snell, L 3.60 R 0.000 0.000 0.00 0.0 0.00 6 2000 4.8 4.76 4.76 % % 0 2.4 3.0 1.5
Robert Refsnyder
OF TB vs TEX 64.3% 4.35 Perez, L 11.88 R 0.091 0.307 0.000 0.00 0.0 0.00 7 2000 9.4 3.5 4.34 4.34 % % 64 2.2 6.2 3.1
Adeiny Hechavarria
SS TB vs TEX 64.3% 4.35 Perez, L 11.88 R 0.191 0.187 0.000 0.00 0.0 0.00 2 2000 15.6 4.4 7.54 7.54 % % 54 3.8 6.2 3.1
Carlos Tocci
OF TEX @ TB 35.7% 3.15 Snell, L 3.60 R 0.077 0.116 0.000 0.00 0.0 0.00 9 2000 6.5 0.9 2.27 2.27 % % 0 1.1 0.0
Johnny Field
OF TB vs TEX 64.3% 4.35 Perez, L 11.88 0.286 0.358 0.143 0.00 0.0 0.00 8 2000 10.3 6.0 4.26 4.26 % % 0 2.1 6.2 3.1
Wilson Ramos
C1B TB vs TEX 64.3% 4.35 Perez, L 11.88 R 0.171 0.192 0.000 0.00 0.0 0.00 5 2000 16.1 3.6 6.93 6.93 % % 37 3.5 19.0 9.5
Jacob deGrom
P NYM vs WSH 63% 3.21 TBD R 3.06 0.000 0.000 5.90 9.2 1.13 9400 57.1 35.0 41.49 41.49 % % 78 4.4 53.0 5.6
Bryce Harper
OF WSH @ NYM 37% 3.21 deGrom, R 3.06 L 0.300 0.488 0.440 0.00 0.0 0.00 3 5200 41.2 17.5 13.04 13.04 % % 60 2.5 34.9 6.7
Trea Turner
SS WSH @ NYM 37% 3.21 deGrom, R 3.06 R 0.203 0.305 0.068 0.00 0.0 0.00 1 4400 26.1 9.5 11.13 11.13 % % 61 2.5 15.2 3.5
Todd Frazier
3B NYM vs WSH 63% 4.29 TBD R 0.295 0.421 0.227 0.00 0.0 0.00 4 4000 33.3 12.4 12.67 12.67 % % 58 3.2 16.0 4
Michael Conforto
OF NYM vs WSH 63% 4.29 TBD L 0.250 0.384 0.179 0.00 0.0 0.00 3 4000 28.9 10.3 13.62 13.62 % % 63 3.4 12.2 3.1
Asdrubal Cabrera
2B NYM vs WSH 63% 4.29 TBD B 0.315 0.392 0.241 0.00 0.0 0.00 2 3900 33.1 11.3 11.72 11.72 % % 53 3 37.4 9.6
Adrian Gonzalez
C1B NYM vs WSH 63% 4.29 TBD L 0.242 0.313 0.121 0.00 0.0 0.00 5 2900 27 7.9 9.12 9.12 % % 43 3.1 3.0 1
Howie Kendrick
2B WSH @ NYM 37% 3.21 deGrom, R 3.06 R 0.314 0.358 0.177 0.00 0.0 0.00 2 2900 19.3 8.6 7.93 7.93 % % 67 2.7 24.9 8.6
Brandon Nimmo
OF NYM vs WSH 63% 4.29 TBD L 0.400 0.563 0.400 0.00 0.0 0.00 1 2800 30.3 10.3 9.18 9.18 % % 49 3.3 12.2 4.4
Matt Adams
C1B WSH @ NYM 37% 3.21 deGrom, R 3.06 L 0.185 0.363 0.296 0.00 0.0 0.00 5 2600 26.7 7.2 6.56 6.56 % % 30 2.5 3.0 1.2
Michael Taylor
OF WSH @ NYM 37% 3.21 deGrom, R 3.06 R 0.193 0.218 0.053 0.00 0.0 0.00 9 2500 17.3 6.7 2.97 2.97 % % 46 1.2 6.5 2.6
Ryan Zimmerman
C1B WSH @ NYM 37% 3.21 deGrom, R 3.06 R 0.122 0.199 0.102 0.00 0.0 0.00 4 2500 22 4.5 8.44 8.44 % % 25 3.4 0.0
Wilmer Difo
2B WSH @ NYM 37% 3.21 deGrom, R 3.06 R 0.242 0.311 0.091 0.00 0.0 0.00 7 2500 16.1 5.3 4.56 4.56 % % 46 1.8 19.0 7.6
Matt Wieters
C1B WSH @ NYM 37% 3.21 deGrom, R 3.06 B 0.250 0.444 0.375 0.00 0.0 0.00 6 2400 27.6 11.4 5.35 5.35 % % 51 2.2 0.0
Amed Rosario
SS NYM vs WSH 63% 4.29 TBD R 0.233 0.267 0.093 0.00 0.0 0.00 9 2300 17.7 7.0 3.74 3.74 % % 50 1.6 3.5 1.5
Juan Lagares
OF NYM vs WSH 63% 4.29 TBD R 0.350 0.319 0.000 0.00 0.0 0.00 6 2000 13.3 3.8 5.88 5.88 % % 51 2.9 21.2 10.6
Jose Lobaton
C1B NYM vs WSH 63% 4.29 TBD B 0.167 0.326 0.333 0.00 0.0 0.00 7 2000 11.9 4.0 4.39 4.39 % % 53 2.2 6.2 3.1
Aaron Nola
P PHI @ ATL 53.5% 3.85 Teheran, R 7.07 R 1.96 0.000 0.000 6.10 6.3 0.98 8800 55.7 30.7 29.71 29.71 % % 58 3.4 22.0 2.5
Julio Teheran
P ATL vs PHI 46.5% 4.15 Nola, R 1.96 R 7.07 0.000 0.000 4.70 7.7 1.79 6100 54.1 16.3 22.05 22.05 % % 2 3.6 52.0 8.5
Ozzie Albies
2B ATL vs PHI 46.5% 3.85 Nola, R 1.96 B 0.313 0.419 0.391 0.00 0.0 0.00 2 4600 38.3 16.7 12.21 12.21 % % 61 2.7 9.2 2
Freddie Freeman
C1B ATL vs PHI 46.5% 3.85 Nola, R 1.96 L 0.320 0.459 0.240 0.00 0.0 0.00 3 4600 38.6 15.8 13.91 13.91 % % 61 3 3.0 0.7
Rhys Hoskins
OF PHI @ ATL 53.5% 4.15 Teheran, R 7.07 R 0.326 0.453 0.256 0.00 0.0 0.00 4 4600 39 14.5 16.55 16.55 % % 61 3.6 15.0 3.3
Dansby Swanson
SS ATL vs PHI 46.5% 3.85 Nola, R 1.96 R 0.357 0.411 0.214 0.00 0.0 0.00 7 3900 26.2 13.0 6.65 6.65 % % 62 1.7 0.0
Carlos Santana
C1B PHI @ ATL 53.5% 4.15 Teheran, R 7.07 B 0.154 0.255 0.173 0.00 0.0 0.00 2 3700 31.7 10.6 13.07 13.07 % % 56 3.5 3.0 0.8
Scott Kingery
SS PHI @ ATL 53.5% 4.15 Teheran, R 7.07 R 0.280 0.356 0.260 0.00 0.0 0.00 1 3700 31.9 12.6 12.58 12.58 % % 62 3.4 3.0 0.8
Nick Markakis
OF ATL vs PHI 46.5% 3.85 Nola, R 1.96 L 0.298 0.377 0.158 0.00 0.0 0.00 4 3500 27.3 11.6 9.23 9.23 % % 61 2.6 0.0
Maikel Franco
3B PHI @ ATL 53.5% 4.15 Teheran, R 7.07 R 0.237 0.320 0.237 0.00 0.0 0.00 7 3400 41.2 12.5 7.86 7.86 % % 33 2.3 0.0
Preston Tucker
OF ATL vs PHI 46.5% 3.85 Nola, R 1.96 L 0.300 0.382 0.275 0.00 0.0 0.00 6 3200 31.1 9.9 6.84 6.84 % % 39 2.1 0.0
Odubel Herrera
OF PHI @ ATL 53.5% 4.15 Teheran, R 7.07 L 0.327 0.365 0.102 0.00 0.0 0.00 3 3200 25.8 9.2 11.75 11.75 % % 62 3.7 21.7 6.8
Ender Inciarte
OF ATL vs PHI 46.5% 3.85 Nola, R 1.96 L 0.179 0.211 0.036 0.00 0.0 0.00 1 3000 22.8 8.3 8.94 8.94 % % 58 3 12.2 4.1
Ryan Flaherty
3B ATL vs PHI 46.5% 3.85 Nola, R 1.96 L 0.366 0.415 0.098 0.00 0.0 0.00 8 3000 22.8 10.2 4.94 4.94 % % 56 1.6 3.0 1
Kurt Suzuki
C1B ATL vs PHI 46.5% 3.85 Nola, R 1.96 R 0.300 0.423 0.233 0.00 0.0 0.00 5 2800 30 9.6 7.03 7.03 % % 40 2.5 3.5 1.3
J.P. Crawford
SS PHI @ ATL 53.5% 4.15 Teheran, R 7.07 L 0.167 0.252 0.222 0.00 0.0 0.00 6 2500 29 8.3 7.06 7.06 % % 34 2.8 6.0 2.4
Jorge Alfaro
C1B PHI @ ATL 53.5% 4.15 Teheran, R 7.07 R 0.219 0.285 0.094 0.00 0.0 0.00 8 2100 23.1 5.9 4.98 4.98 % % 23 2.4 0.0
Aaron Altherr
OF PHI @ ATL 53.5% 4.15 Teheran, R 7.07 R 0.083 0.217 0.167 0.00 0.0 0.00 5 2000 29.5 7.9 7.45 7.45 % % 30 3.7 3.0 1.5
Luis Castillo
P CIN @ MIL 44.1% 4.26 Suter, L 4.70 R 7.31 0.000 0.000 5.30 7.3 1.31 7000 32.4 17.3 21.26 21.26 % % 68 3 38.0 5.4
Brent Suter
P MIL vs CIN 55.9% 3.74 Castillo, R 7.31 L 4.70 0.000 0.000 3.80 6.6 1.30 6000 36.8 15.3 18.66 18.66 % % 41 3.1 18.0 3
Joey Votto
C1B CIN @ MIL 44.1% 3.74 Suter, L 4.70 L 0.236 0.244 0.000 0.00 0.0 0.00 3 3700 22.1 5.1 12.14 12.14 % % 51 3.3 12.5 3.4
Travis Shaw
3B MIL vs CIN 55.9% 4.26 Castillo, R 7.31 L 0.266 0.322 0.188 0.00 0.0 0.00 4 3600 27.3 9.3 11.07 11.07 % % 56 3.1 3.0 0.8
Scooter Gennett
2B CIN @ MIL 44.1% 3.74 Suter, L 4.70 L 0.306 0.311 0.065 0.00 0.0 0.00 5 3200 20.3 7.2 8.53 8.53 % % 59 2.7 12.5 3.9
Billy Hamilton
OF CIN @ MIL 44.1% 3.74 Suter, L 4.70 B 0.170 0.261 0.085 0.00 0.0 0.00 1 2900 24.6 9.0 8.88 8.88 % % 56 3.1 25.9 8.9
Domingo Santana
OF MIL vs CIN 55.9% 4.26 Castillo, R 7.31 R 0.281 0.310 0.018 0.00 0.0 0.00 3 2800 16.8 6.1 10.28 10.28 % % 73 3.7 0.0
Lorenzo Cain
OF MIL vs CIN 55.9% 4.26 Castillo, R 7.31 R 0.273 0.339 0.127 0.00 0.0 0.00 2 2700 29.6 10.5 10.59 10.59 % % 55 3.9 3.0 1.1
Jonathan Villar
2B MIL vs CIN 55.9% 4.26 Castillo, R 7.31 B 0.280 0.297 0.080 0.00 0.0 0.00 1 2600 21.5 6.6 8.70 8.70 % % 51 3.3 6.5 2.5
Tucker Barnhart
C1B CIN @ MIL 44.1% 3.74 Suter, L 4.70 B 0.278 0.397 0.222 0.00 0.0 0.00 7 2400 21.6 8.0 5.47 5.47 % % 50 2.3 9.7 4
Adam Duvall
OF CIN @ MIL 44.1% 3.74 Suter, L 4.70 R 0.160 0.253 0.220 0.00 0.0 0.00 4 2400 26.3 7.1 9.03 9.03 % % 39 3.8 21.7 9
Jose Peraza
SS CIN @ MIL 44.1% 3.74 Suter, L 4.70 R 0.255 0.251 0.078 0.00 0.0 0.00 2 2400 21.9 5.9 7.99 7.99 % % 41 3.3 16.2 6.8
Jesus Aguilar
C1B MIL vs CIN 55.9% 4.26 Castillo, R 7.31 R 0.421 0.469 0.105 0.00 0.0 0.00 5 2300 16.9 4.6 7.83 7.83 % % 51 3.4 6.2 2.7
Orlando Arcia
SS MIL vs CIN 55.9% 4.26 Castillo, R 7.31 R 0.167 0.211 0.083 0.00 0.0 0.00 7 2300 16.9 5.0 5.43 5.43 % % 43 2.4 9.2 4
Hernan Perez
OF MIL vs CIN 55.9% 4.26 Castillo, R 7.31 R 0.167 0.236 0.200 0.00 0.0 0.00 6 2300 22 4.8 6.12 6.12 % % 17 2.7 3.0 1.3
Jett Bandy
C1B MIL vs CIN 55.9% 4.26 Castillo, R 7.31 R 0.208 0.316 0.167 0.00 0.0 0.00 8 2200 16.7 6.1 4.66 4.66 % % 50 2.1 0.0
Phillip Ervin
OF CIN @ MIL 44.1% 3.74 Suter, L 4.70 R 0.179 0.260 0.000 0.00 0.0 0.00 6 2200 14.7 4.4 5.61 5.61 % % 49 2.6 15.4 7
Philip Gosselin
2B CIN @ MIL 44.1% 3.74 Suter, L 4.70 R 0.118 0.226 0.177 0.00 0.0 0.00 8 2000 18.5 2.6 3.49 3.49 % % 0 1.7 12.4 6.2
Reynaldo Lopez
P CWS @ OAK 40% 4.72 Mengden, R 6.19 R 0.69 0.000 0.000 6.50 7.6 0.85 7300 22.3 38.5 19.32 19.32 % % 0 2.6 46.0 6.3
Daniel Mengden
P OAK vs CWS 60% 3.78 Lopez, R 0.69 R 6.19 0.000 0.000 5.30 6.8 1.31 6400 34.1 19.0 22.34 22.34 % % 69 3.5 49.0 7.7
Matt Chapman
3B OAK vs CWS 60% 4.72 Lopez, R 0.69 R 0.333 0.443 0.317 0.00 0.0 0.00 6 4400 32.8 13.9 11.68 11.68 % % 62 2.7 6.2 1.4
Khris Davis
OF OAK vs CWS 60% 4.72 Lopez, R 0.69 R 0.258 0.368 0.290 0.00 0.0 0.00 4 4000 40 11.9 14.09 14.09 % % 46 3.5 12.5 3.1
Matt Davidson
3B CWS @ OAK 40% 3.78 Mengden, R 6.19 R 0.211 0.417 0.421 0.00 0.0 0.00 4 3900 51.7 15.4 11.95 11.95 % % 36 3.1 3.0 0.8
Jed Lowrie
2B OAK vs CWS 60% 4.72 Lopez, R 0.69 B 0.348 0.420 0.227 0.00 0.0 0.00 3 3600 34.5 12.9 12.54 12.54 % % 58 3.5 16.5 4.6
Matt Olson
C1B OAK vs CWS 60% 4.72 Lopez, R 0.69 L 0.241 0.305 0.103 0.00 0.0 0.00 5 3500 26.9 8.1 11.60 11.60 % % 53 3.3 18.7 5.3
Marcus Semien
SS OAK vs CWS 60% 4.72 Lopez, R 0.69 R 0.261 0.306 0.116 0.00 0.0 0.00 2 3500 28.3 10.0 11.17 11.17 % % 57 3.2 9.2 2.6
Jose Abreu
C1B CWS @ OAK 40% 3.78 Mengden, R 6.19 R 0.250 0.353 0.229 0.00 0.0 0.00 3 3400 31.5 10.6 11.33 11.33 % % 53 3.3 18.7 5.5
Yoan Moncada
2B CWS @ OAK 40% 3.78 Mengden, R 6.19 B 0.184 0.279 0.122 0.00 0.0 0.00 1 3300 26.7 8.2 10.26 10.26 % % 50 3.1 9.0 2.7
Tim Anderson
SS CWS @ OAK 40% 3.78 Mengden, R 6.19 R 0.267 0.350 0.222 0.00 0.0 0.00 8 3300 38.1 12.8 7.18 7.18 % % 40 2.2 0.0
Avisail Garcia
OF CWS @ OAK 40% 3.78 Mengden, R 6.19 R 0.250 0.278 0.115 0.00 0.0 0.00 2 2900 24.2 7.5 9.80 9.80 % % 52 3.4 0.0
Matt Joyce
OF OAK vs CWS 60% 4.72 Lopez, R 0.69 L 0.222 0.353 0.178 0.00 0.0 0.00 1 2900 24.9 7.7 10.31 10.31 % % 53 3.6 15.4 5.3
Yolmer Sanchez
3B CWS @ OAK 40% 3.78 Mengden, R 6.19 B 0.289 0.353 0.211 0.00 0.0 0.00 7 2700 25.8 9.7 7.02 7.02 % % 51 2.6 3.0 1.1
Stephen Piscotty
OF OAK vs CWS 60% 4.72 Lopez, R 0.69 R 0.259 0.294 0.074 0.00 0.0 0.00 8 2500 19.5 6.9 5.78 5.78 % % 50 2.3 15.7 6.3
Jonathan Lucroy
C1B OAK vs CWS 60% 4.72 Lopez, R 0.69 R 0.256 0.303 0.070 0.00 0.0 0.00 9 2500 16.6 6.4 6.12 6.12 % % 59 2.4 9.4 3.8
Mark Canha
OF OAK vs CWS 60% 4.72 Lopez, R 0.69 R 0.250 0.313 0.250 0.00 0.0 0.00 7 2400 32.2 9.5 5.90 5.90 % % 31 2.5 6.0 2.5
Welington Castillo
C1B CWS @ OAK 40% 3.78 Mengden, R 6.19 R 0.214 0.321 0.286 0.00 0.0 0.00 6 2300 30.7 8.0 7.31 7.31 % % 27 3.2 3.0 1.3
Nicky Delmonico
OF CWS @ OAK 40% 3.78 Mengden, R 6.19 L 0.250 0.350 0.125 0.00 0.0 0.00 5 2200 21.9 7.0 7.03 7.03 % % 47 3.2 0.0
Adam Engel
OF CWS @ OAK 40% 3.78 Mengden, R 6.19 R 0.138 0.230 0.035 0.00 0.0 0.00 9 2000 11.5 4.5 3.16 3.16 % % 54 1.6 6.0 3
James Paxton
P SEA vs HOU 50% 3.50 Keuchel, L 4.20 L 5.74 0.000 0.000 5.20 12.1 1.40 8500 61.2 28.0 30.01 30.01 % % 44 3.5 46.0 5.4
Dallas Keuchel
P HOU @ SEA 50% 3.50 Paxton, L 5.74 L 4.20 0.000 0.000 5.00 7.7 1.80 8100 33.8 22.3 29.99 29.99 % % 92 3.7 40.0 4.9
Jose Altuve
2B HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.344 0.357 0.033 0.00 0.0 0.00 3 4700 26.4 8.7 13.95 13.95 % % 64 3 0.0
Carlos Correa
SS HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.264 0.321 0.208 0.00 0.0 0.00 4 4700 39.5 11.6 13.53 13.53 % % 44 2.9 15.0 3.2
George Springer
OF HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.203 0.302 0.188 0.00 0.0 0.00 1 4500 32.2 9.9 13.11 13.11 % % 52 2.9 24.7 5.5
Alex Bregman
3B HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.226 0.304 0.097 0.00 0.0 0.00 2 4200 28 7.9 11.86 11.86 % % 49 2.8 0.0
Robinson Cano
2B SEA vs HOU 50% 3.50 Keuchel, L 4.20 L 0.375 0.463 0.100 0.00 0.0 0.00 3 4200 24.8 11.6 11.11 11.11 % % 70 2.6 0.0
Jean Segura
SS SEA vs HOU 50% 3.50 Keuchel, L 4.20 R 0.327 0.369 0.164 0.00 0.0 0.00 2 4000 30.8 12.0 9.69 9.69 % % 56 2.4 0.0
Dee Gordon
OF SEA vs HOU 50% 3.50 Keuchel, L 4.20 L 0.327 0.330 0.073 0.00 0.0 0.00 1 3700 27.3 12.0 9.94 9.94 % % 64 2.7 9.5 2.6
Mitch Haniger
OF SEA vs HOU 50% 3.50 Keuchel, L 4.20 R 0.289 0.414 0.289 0.00 0.0 0.00 6 3700 27.7 13.8 7.45 7.45 % % 63 2 0.0
Kyle Seager
3B SEA vs HOU 50% 3.50 Keuchel, L 4.20 L 0.300 0.380 0.260 0.00 0.0 0.00 5 3700 32.2 11.8 8.60 8.60 % % 50 2.3 0.0
Nelson Cruz
OF SEA vs HOU 50% 3.50 Keuchel, L 4.20 R 0.200 0.320 0.400 0.00 0.0 0.00 4 3600 29.9 12.7 10.33 10.33 % % 61 2.9 21.7 6
Yulieski Gurriel
C1B HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.250 0.315 0.333 0.00 0.0 0.00 5 3300 35 12.7 8.15 8.15 % % 47 2.5 3.0 0.9
Marwin Gonzalez
C1B HOU @ SEA 50% 3.50 Paxton, L 5.74 B 0.176 0.269 0.118 0.00 0.0 0.00 7 2800 16.9 6.0 5.62 5.62 % % 53 2 0.0
Evan Gattis
C1B HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.196 0.266 0.087 0.00 0.0 0.00 6 2400 22.1 6.2 4.94 4.94 % % 31 2.1 0.0
Jake Marisnick
OF HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.158 0.197 0.158 0.00 0.0 0.00 9 2300 19.3 6.5 3.18 3.18 % % 38 1.4 0.0
Max Stassi
C1B HOU @ SEA 50% 3.50 Paxton, L 5.74 R 0.304 0.406 0.217 0.00 0.0 0.00 8 2300 19.6 8.4 3.12 3.12 % % 51 1.4 0.0
David Freitas
C1B SEA vs HOU 50% 3.50 Keuchel, L 4.20 R 0.250 0.319 0.100 0.00 0.0 0.00 9 2200 8.8 4.6 2.67 2.67 % % 67 1.2 9.2 4.2
Taylor Motter
OF SEA vs HOU 50% 3.50 Keuchel, L 4.20 R 0.167 0.306 0.250 0.00 0.0 0.00 8 2100 16.8 4.4 3.58 3.58 % % 25 1.7 6.0 2.9
Guillermo Heredia
OF SEA vs HOU 50% 3.50 Keuchel, L 4.20 B 0.238 0.366 0.286 0.00 0.0 0.00 7 2000 19.3 5.5 3.92 3.92 % % 30 2 6.0 3
Hyun-Jin Ryu
P LAD @ SD 56.5% 3.48 Erlin, L 2.38 L 2.79 0.000 0.000 3.20 9.3 1.24 7200 69.6 20.0 23.85 23.85 % % 0 3.3 49.0 6.8
Robbie Erlin
P SD vs LAD 43.5% 4.02 Ryu, L 2.79 L 2.38 0.000 0.000 2.30 7.0 0.79 5500 25.7 10.4 16.24 16.24 % % 55 3 9.0 1.6
Cody Bellinger
C1B LAD @ SD 56.5% 4.02 Erlin, L 2.38 L 0.309 0.342 0.146 0.00 0.0 0.00 4 4100 31.9 8.8 13.61 13.61 % % 48 3.3 18.6 4.5
Corey Seager
SS LAD @ SD 56.5% 4.02 Erlin, L 2.38 L 0.200 0.250 0.055 0.00 0.0 0.00 2 3600 25.9 6.9 12.81 12.81 % % 52 3.6 12.4 3.4
Freddy Galvis
SS SD vs LAD 43.5% 3.48 Ryu, L 2.79 B 0.316 0.390 0.105 0.00 0.0 0.00 2 3400 19.7 8.9 8.61 8.61 % % 69 2.5 0.0
Yasmani Grandal
C1B LAD @ SD 56.5% 4.02 Erlin, L 2.38 B 0.359 0.438 0.205 0.00 0.0 0.00 6 3400 36.8 11.0 11.37 11.37 % % 42 3.3 41.7 12.3
Christian Villanueva
3B SD vs LAD 43.5% 3.48 Ryu, L 2.79 R 0.293 0.470 0.463 0.00 0.0 0.00 5 3300 47.8 13.5 8.48 8.48 % % 27 2.6 28.2 8.5
Eric Hosmer
C1B SD vs LAD 43.5% 3.48 Ryu, L 2.79 L 0.288 0.360 0.170 0.00 0.0 0.00 3 3200 26 9.0 10.02 10.02 % % 56 3.1 0.0
Hunter Renfroe
OF SD vs LAD 43.5% 3.48 Ryu, L 2.79 R 0.190 0.297 0.238 0.00 0.0 0.00 4 3200 26.5 8.2 9.13 9.13 % % 47 2.9 21.4 6.7
Yasiel Puig
OF LAD @ SD 56.5% 4.02 Erlin, L 2.38 R 0.222 0.263 0.074 0.00 0.0 0.00 7 3000 23.7 8.0 11.24 11.24 % % 61 3.7 3.0 1
Jose Pirela
OF SD vs LAD 43.5% 3.48 Ryu, L 2.79 R 0.324 0.357 0.149 0.00 0.0 0.00 1 3000 30 11.7 8.35 8.35 % % 54 2.8 0.0
Chris Taylor
OF LAD @ SD 56.5% 4.02 Erlin, L 2.38 R 0.230 0.290 0.213 0.00 0.0 0.00 1 2900 30.7 10.0 10.73 10.73 % % 50 3.7 3.2 1.1
Matt Kemp
OF LAD @ SD 56.5% 4.02 Erlin, L 2.38 R 0.300 0.358 0.150 0.00 0.0 0.00 5 2600 24.3 7.1 10.09 10.09 % % 50 3.9 28.7 11
Franchy Cordero
OF SD vs LAD 43.5% 3.48 Ryu, L 2.79 L 0.278 0.367 0.333 0.00 0.0 0.00 6 2500 24.4 11.8 7.45 7.45 % % 64 3 6.5 2.6
Enrique Hernandez
2B LAD @ SD 56.5% 4.02 Erlin, L 2.38 R 0.167 0.250 0.139 0.00 0.0 0.00 3 2300 18.6 6.0 5.86 5.86 % % 47 2.5 9.7 4.2
Austin Hedges
C1B SD vs LAD 43.5% 3.48 Ryu, L 2.79 R 0.152 0.219 0.174 0.00 0.0 0.00 8 2200 21.4 6.2 4.02 4.02 % % 30 1.8 0.0
Carlos Asuaje
2B SD vs LAD 43.5% 3.48 Ryu, L 2.79 L 0.200 0.269 0.083 0.00 0.0 0.00 7 2100 15.3 5.6 5.90 5.90 % % 58 2.8 0.0
Kyle Farmer
C1B LAD @ SD 56.5% 4.02 Erlin, L 2.38 R 0.286 0.313 0.071 0.00 0.0 0.00 8 2000 9.8 2.4 4.06 4.06 % % 40 2 6.0 3
×
Save As
Name is invalid.
Load Settings
Save Name Last Saved Delete
No saved settings found
Load Settings Please select a save file.
Unique Players

Team Salary
Max salary is $35,000 if left blank.

UTIL Position

Hitters vs Pitcher

Global Exposure Setting
apply exposure as

Randomness
Use Randomness
Hitting Players Per Team Change All MAX
MIN MAX MIN MAX
BAL
@
BOS
MIA
@
NYY
STL
@
CHC
COL
@
PIT
KC
@
TOR
WSH
@
NYM
TEX
@
TB
PHI
@
ATL
CIN
@
MIL
CWS
@
OAK
LAD
@
SD
HOU
@
SEA
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.

Positional Stacking
Create New Stacking Rule
Stack with of Positions From
Stacking Rules
Save Name Last Saved Delete
No saved settings found
Load Groups There was an error loading your groups.
×
Save As Name is invalid.
×
Load Playerpool
Save Name Last Saved
No Saved playerpools found
Selected  
Load Playerpool Please select a save file.
×
Load Saved Crunches
Name Number of Teams Last Saved Delete
Name Number of Teams
  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

    Select a site (Fanduel, Draftkings etc.) from this drop down menu.

  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.