Draftkingspickem - MLB
2018-08-15
Filter Players
Apply filters
Batting Order
Projected Score
Salary
Value
Consistency
Vegas Run Total
  • Pitchers
  • Hitters
  • ALL
  • T1
  • T2
  • T3
  • T4
  • T5
  • T6
  • 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
Nick Castellanos
T4 DET vs CWS 51.9% 4.59 TBD R 0.283 0.353 0.202 0.00 0.0 0.00 3 100 26.7 8.1 10.01 10.01 % % 48 100.1 14.00 140
Jose Abreu
T5 CWS @ DET 48.1% 4.41 TBD R 0.269 0.346 0.214 0.00 0.0 0.00 3 100 26.3 8.0 10.10 10.10 % % 49 101 24.00 240
Daniel Palka
T5 CWS @ DET 48.1% 4.41 TBD L 0.228 0.313 0.239 0.00 0.0 0.00 4 100 24.6 6.5 8.89 8.89 % % 40 88.9 3.00 30
Matt Davidson
T6 CWS @ DET 48.1% 4.41 TBD R 0.213 0.331 0.220 0.00 0.0 0.00 8 100 22.5 6.8 5.01 5.01 % % 36 50.1 24.00 240
Yoan Moncada
T6 CWS @ DET 48.1% 4.41 TBD B 0.219 0.307 0.176 0.00 0.0 0.00 7 100 21.6 7.3 6.05 6.05 % % 47 60.5 0.00
Eddie Rosario
T2 MIN vs PIT 53.5% 4.15 TBD L 0.297 0.358 0.201 0.00 0.0 0.00 2 100 26.4 8.9 9.17 9.17 % % 52 91.7 5.00 50
Gregory Polanco
T4 PIT @ MIN 46.5% 3.85 TBD L 0.235 0.342 0.238 0.00 0.0 0.00 3 100 25.2 8.1 8.94 8.94 % % 50 89.4 10.00 100
Miguel Sano
T4 MIN vs PIT 53.5% 4.15 TBD R 0.218 0.307 0.203 0.00 0.0 0.00 4 100 21.4 7.3 7.99 7.99 % % 54 79.9 7.00 70
Corey Dickerson
T5 PIT @ MIN 46.5% 3.85 TBD L 0.310 0.356 0.184 0.00 0.0 0.00 1 100 23.3 7.9 8.35 8.35 % % 53 83.5 8.00 80
Max Kepler
T5 MIN vs PIT 53.5% 4.15 TBD L 0.237 0.330 0.191 0.00 0.0 0.00 5 100 20.1 6.8 6.98 6.98 % % 52 69.8 7.00 70
Josh Bell
T5 PIT @ MIN 46.5% 3.85 TBD B 0.270 0.339 0.154 0.00 0.0 0.00 4 100 20.1 6.9 8.00 8.00 % % 56 80 2.00 20
Jorge Polanco
T6 MIN vs PIT 53.5% 4.15 TBD B 0.286 0.337 0.114 0.00 0.0 0.00 3 100 18 7.4 7.87 7.87 % % 66 78.7 7.00 70
Adam Frazier
T6 PIT @ MIN 46.5% 3.85 TBD L 0.285 0.343 0.151 0.00 0.0 0.00 2 100 19.3 4.9 7.64 7.64 % % 40 76.4 2.00 20
Christian Yelich
T1 MIL @ CHC 42.2% 4.11 TBD L 0.308 0.384 0.210 0.00 0.0 0.00 1 100 27.6 9.8 11.57 11.57 % % 59 115.7 3.00 30
Javier Baez
T1 CHC vs MIL 57.8% 4.89 TBD R 0.293 0.381 0.296 0.00 0.0 0.00 1 100 31.5 9.9 12.44 12.44 % % 52 124.4 13.00 130
Eric Thames
T2 MIL @ CHC 42.2% 4.11 TBD L 0.229 0.349 0.291 0.00 0.0 0.00 7 100 23.1 7.7 6.22 6.22 % % 45 62.2 5.00 50
Anthony Rizzo
T3 CHC vs MIL 57.8% 4.89 TBD L 0.260 0.348 0.172 0.00 0.0 0.00 4 100 26.5 8.1 12.03 12.03 % % 55 120.3 33.00 330
Travis Shaw
T3 MIL @ CHC 42.2% 4.11 TBD L 0.249 0.354 0.230 0.00 0.0 0.00 5 100 23.6 7.6 8.83 8.83 % % 51 88.3 7.00 70
Mike Moustakas
T3 MIL @ CHC 42.2% 4.11 TBD L 0.254 0.334 0.207 0.00 0.0 0.00 3 100 24.2 7.6 9.81 9.81 % % 53 98.1 11.00 110
Ryan Braun
T4 MIL @ CHC 42.2% 4.11 TBD R 0.255 0.329 0.211 0.00 0.0 0.00 4 100 25.6 7.1 9.56 9.56 % % 44 95.6 0.00
Kyle Schwarber
T4 CHC vs MIL 57.8% 4.89 TBD L 0.246 0.356 0.220 0.00 0.0 0.00 6 100 22.8 7.2 8.41 8.41 % % 50 84.1 3.00 30
Lorenzo Cain
T5 MIL @ CHC 42.2% 4.11 TBD R 0.302 0.365 0.121 0.00 0.0 0.00 2 100 24.1 8.5 9.30 9.30 % % 57 93 4.00 40
Willson Contreras
T6 CHC vs MIL 57.8% 4.89 TBD R 0.277 0.353 0.162 0.00 0.0 0.00 7 100 21.2 7.0 6.21 6.21 % % 46 62.1 7.00 70
Jason Heyward
T6 CHC vs MIL 57.8% 4.89 TBD L 0.277 0.327 0.127 0.00 0.0 0.00 2 100 22.9 6.8 9.82 9.82 % % 52 98.2 19.00 190
Jonathan Schoop
T6 MIL @ CHC 42.2% 4.11 TBD R 0.226 0.278 0.168 0.00 0.0 0.00 6 100 20 6.5 6.26 6.26 % % 47 62.6 9.00 90
Khris Davis
T1 OAK vs SEA 53.1% 4.39 TBD R 0.255 0.373 0.304 0.00 0.0 0.00 4 100 28.7 9.4 11.13 11.13 % % 53 111.3 0.00
Nelson Cruz
T1 SEA @ OAK 46.9% 4.11 TBD R 0.271 0.386 0.279 0.00 0.0 0.00 4 100 28.1 8.8 10.85 10.85 % % 51 108.5 2.00 20
Matt Chapman
T3 OAK vs SEA 53.1% 4.39 TBD R 0.280 0.377 0.230 0.00 0.0 0.00 2 100 25.9 8.2 10.14 10.14 % % 52 101.4 7.00 70
Jean Segura
T3 SEA @ OAK 46.9% 4.11 TBD R 0.315 0.340 0.126 0.00 0.0 0.00 3 100 25.3 8.6 9.72 9.72 % % 55 97.2 12.00 120
Mitch Haniger
T3 SEA @ OAK 46.9% 4.11 TBD R 0.281 0.369 0.202 0.00 0.0 0.00 1 100 26.1 8.5 10.60 10.60 % % 54 106 5.00 50
Marcus Semien
T4 OAK vs SEA 53.1% 4.39 TBD R 0.268 0.318 0.129 0.00 0.0 0.00 7 100 19.4 7.8 5.88 5.88 % % 57 58.8 2.00 20
Jed Lowrie
T5 OAK vs SEA 53.1% 4.39 TBD B 0.271 0.358 0.201 0.00 0.0 0.00 3 100 23.8 8.0 9.15 9.15 % % 54 91.5 2.00 20
Matt Olson
T5 OAK vs SEA 53.1% 4.39 TBD L 0.237 0.336 0.207 0.00 0.0 0.00 5 100 22.7 7.4 7.68 7.68 % % 49 76.8 8.00 80
J.D. Martinez
T1 BOS @ PHI 49% 4.20 TBD R 0.336 0.447 0.336 0.00 0.0 0.00 4 100 32.1 11.3 14.24 14.24 % % 61 142.4 9.00 90
Mitch Moreland
T5 BOS @ PHI 49% 4.20 TBD L 0.255 0.340 0.213 0.00 0.0 0.00 3 100 25.1 7.6 9.93 9.93 % % 50 99.3 11.00 110
Asdrubal Cabrera
T5 PHI vs BOS 51% 4.30 TBD B 0.268 0.339 0.199 0.00 0.0 0.00 3 100 25 7.4 9.09 9.09 % % 46 90.9 7.00 70
Rhys Hoskins
T6 PHI vs BOS 51% 4.30 TBD R 0.252 0.372 0.242 0.00 0.0 0.00 4 100 25.4 8.7 9.69 9.69 % % 55 96.9 5.00 50
Cesar Hernandez
T6 PHI vs BOS 51% 4.30 TBD B 0.259 0.339 0.111 0.00 0.0 0.00 1 100 21.7 7.6 9.09 9.09 % % 58 90.9 0.00
Brandon Nimmo
T3 NYM @ BAL 53.5% 4.41 TBD L 0.255 0.382 0.237 0.00 0.0 0.00 1 100 27.9 7.7 12.00 12.00 % % 48 120 38.00 380
Michael Conforto
T4 NYM @ BAL 53.5% 4.41 TBD L 0.240 0.345 0.174 0.00 0.0 0.00 4 100 24.9 7.0 11.60 11.60 % % 53 116 7.00 70
Giancarlo Stanton
T2 NYY vs TB 66.7% 5.34 TBD R 0.274 0.367 0.242 0.00 0.0 0.00 2 100 32.2 8.9 14.82 14.82 % % 51 148.2 5.00 50
Mallex Smith
T3 TB @ NYY 33.3% 3.66 TBD L 0.296 0.345 0.120 0.00 0.0 0.00 1 100 23.2 7.2 8.49 8.49 % % 49 84.9 26.00 260
Aaron Hicks
T4 NYY vs TB 66.7% 5.34 TBD R 0.246 0.356 0.225 0.00 0.0 0.00 3 100 29.4 8.4 13.00 13.00 % % 51 130 3.00 30
Didi Gregorius
T4 NYY vs TB 66.7% 5.34 TBD L 0.268 0.347 0.214 0.00 0.0 0.00 4 100 30.8 8.7 13.46 13.46 % % 50 134.6 4.00 40
Miguel Andujar
T4 NYY vs TB 66.7% 5.34 TBD R 0.297 0.363 0.229 0.00 0.0 0.00 5 100 25.7 8.0 11.30 11.30 % % 55 113 19.00 190
Brett Gardner
T4 NYY vs TB 66.7% 5.34 TBD L 0.246 0.319 0.134 0.00 0.0 0.00 1 100 26.6 7.7 11.79 11.79 % % 52 117.9 5.00 50
Jake Bauers
T6 TB @ NYY 33.3% 3.66 TBD L 0.224 0.341 0.224 0.00 0.0 0.00 3 100 24.4 8.0 7.82 7.82 % % 48 78.2 2.00 20
Jose Ramirez
T1 CLE @ CIN 60.8% 5.04 TBD B 0.301 0.437 0.329 0.00 0.0 0.00 3 100 34.9 11.6 17.40 17.40 % % 62 174 0.00
Francisco Lindor
T1 CLE @ CIN 60.8% 5.04 TBD B 0.292 0.394 0.265 0.00 0.0 0.00 1 100 35.4 10.9 16.32 16.32 % % 56 163.2 4.00 40
Michael Brantley
T2 CLE @ CIN 60.8% 5.04 TBD L 0.297 0.354 0.166 0.00 0.0 0.00 2 100 27.8 8.6 14.63 14.63 % % 62 146.3 5.00 50
Eugenio Suarez
T5 CIN vs CLE 39.2% 3.96 TBD R 0.300 0.401 0.263 0.00 0.0 0.00 3 100 24.2 9.7 8.86 8.86 % % 61 88.6 0.00
Yonder Alonso
T5 CLE @ CIN 60.8% 5.04 TBD L 0.249 0.327 0.197 0.00 0.0 0.00 4 100 27.7 7.4 12.01 12.01 % % 47 120.1 7.00 70
Jason Kipnis
T6 CLE @ CIN 60.8% 5.04 TBD L 0.224 0.302 0.139 0.00 0.0 0.00 6 100 22.2 6.5 9.24 9.24 % % 50 92.4 6.00 60
Ronald Acuna
T2 ATL vs MIA 71.4% 5.29 TBD R 0.286 0.381 0.278 0.00 0.0 0.00 1 100 33.6 9.8 15.00 15.00 % % 53 150 2.00 20
Nick Markakis
T2 ATL vs MIA 71.4% 5.29 TBD L 0.321 0.384 0.181 0.00 0.0 0.00 4 100 27.6 8.7 13.36 13.36 % % 59 133.6 0.00
Freddie Freeman
T3 ATL vs MIA 71.4% 5.29 TBD L 0.321 0.407 0.221 0.00 0.0 0.00 3 100 28.8 9.6 13.81 13.81 % % 61 138.1 8.00 80
Ozzie Albies
T3 ATL vs MIA 71.4% 5.29 TBD B 0.276 0.342 0.216 0.00 0.0 0.00 2 100 30.1 9.1 13.36 13.36 % % 54 133.6 0.00
J.T. Realmuto
T6 MIA @ ATL 28.6% 3.21 TBD R 0.297 0.369 0.216 0.00 0.0 0.00 2 100 23.5 8.6 7.16 7.16 % % 52 71.6 0.00
Alex Bregman
T4 HOU vs COL 67.2% 4.48 TBD R 0.276 0.385 0.232 0.00 0.0 0.00 1 100 26 9.4 11.27 11.27 % % 61 112.7 9.00 90
Charlie Blackmon
T6 COL @ HOU 32.8% 3.03 TBD L 0.275 0.355 0.199 0.00 0.0 0.00 1 100 21.6 8.7 6.91 6.91 % % 58 69.1 0.00
Teoscar Hernandez
T5 TOR @ KC 52.4% 4.62 TBD R 0.242 0.336 0.250 0.00 0.0 0.00 4 100 26.5 7.8 11.39 11.39 % % 52 113.9 12.00 120
Justin Smoak
T6 TOR @ KC 52.4% 4.62 TBD B 0.262 0.370 0.221 0.00 0.0 0.00 3 100 26.3 7.9 11.39 11.39 % % 53 113.9 2.00 20
Matt Carpenter
T2 STL vs WSH 54.3% 4.71 TBD L 0.276 0.412 0.310 0.00 0.0 0.00 1 100 32.4 9.6 13.57 13.57 % % 51 135.7 6.00 60
Juan Soto
T3 WSH @ STL 45.7% 4.29 TBD L 0.293 0.413 0.253 0.00 0.0 0.00 2 100 28.9 9.2 11.82 11.82 % % 54 118.2 2.00 20
Bryce Harper
T3 WSH @ STL 45.7% 4.29 TBD L 0.231 0.378 0.269 0.00 0.0 0.00 4 100 29.4 9.1 12.35 12.35 % % 53 123.5 8.00 80
Ryan Zimmerman
T4 WSH @ STL 45.7% 4.29 TBD R 0.258 0.348 0.226 0.00 0.0 0.00 5 100 28.4 6.9 10.05 10.05 % % 33 100.5 3.00 30
Anthony Rendon
T5 WSH @ STL 45.7% 4.29 TBD R 0.298 0.377 0.236 0.00 0.0 0.00 3 100 26.6 8.8 11.03 11.03 % % 56 110.3 7.00 70
Trea Turner
T5 WSH @ STL 45.7% 4.29 TBD R 0.268 0.330 0.141 0.00 0.0 0.00 1 100 28.9 8.8 11.03 11.03 % % 49 110.3 8.00 80
Paul DeJong
T6 STL vs WSH 54.3% 4.71 TBD R 0.247 0.338 0.207 0.00 0.0 0.00 5 100 24 7.8 10.06 10.06 % % 55 100.6 2.00 20
×
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 $800 if left blank.

Hitters vs Pitcher

Global Exposure Setting
apply exposure as

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