Fantasydraft - MLB
2018-04-19
Filter Players
Apply filters
Batting Order
Projected Score
Salary
Value
Consistency
  • Pitchers
  • Hitters
  • ALL
  • IF
  • 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
Jameson Taillon
P PIT @ PHI 51.7% 3.44 Arrieta, R 3.38 R 0.89 0.000 0.000 6.80 7.9 0.69 21200 39.8 27.3 17.25 17.25 % % 59 0.8 -4.45
Jake Arrieta
P PHI vs PIT 48.3% 3.57 Taillon, R 0.89 R 3.38 0.000 0.000 5.30 5.1 1.31 14600 16.7 11.8 16.31 16.31 % % 0 1.1 37.95 2.6
Rhys Hoskins
IF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 R 0.327 0.458 0.250 0.00 0.0 0.00 4 8900 24 10.4 9.22 9.22 % % 64 1 16.00 1.8
Gregory Polanco
OF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 L 0.194 0.338 0.307 0.00 0.0 0.00 2 8900 31.9 10.1 9.47 9.47 % % 45 1.1 0.00
Starling Marte
OF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 R 0.290 0.397 0.246 0.00 0.0 0.00 3 8000 25.7 10.2 8.82 8.82 % % 59 1.1 2.00 0.3
Scott Kingery
IF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 R 0.241 0.329 0.224 0.00 0.0 0.00 6 6500 19.2 8.4 6.13 6.13 % % 61 0.9 7.00 1.1
Cesar Hernandez
IF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 B 0.271 0.378 0.136 0.00 0.0 0.00 1 7700 20.2 8.8 7.47 7.47 % % 64 1 21.00 2.7
Odubel Herrera
IF/OF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 L 0.323 0.363 0.129 0.00 0.0 0.00 3 6900 18 8.0 7.09 7.09 % % 66 1 12.00 1.7
Corey Dickerson
OF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 L 0.348 0.390 0.197 0.00 0.0 0.00 5 7200 21.8 10.3 7.46 7.46 % % 65 1 0.00
Carlos Santana
IF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 B 0.131 0.243 0.148 0.00 0.0 0.00 2 7800 20.2 6.5 7.18 7.18 % % 50 0.9 9.00 1.2
Josh Bell
IF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 B 0.284 0.325 0.122 0.00 0.0 0.00 4 7600 19.8 8.1 7.64 7.64 % % 63 1 0.00
Francisco Cervelli
IF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 R 0.308 0.421 0.308 0.00 0.0 0.00 6 6700 22.5 9.4 5.27 5.27 % % 54 0.8 5.00 0.7
Colin Moran
IF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 L 0.314 0.358 0.118 0.00 0.0 0.00 7 6800 18.5 6.3 4.33 4.33 % % 44 0.6 0.00
Jordy Mercer
IF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 R 0.278 0.327 0.093 0.00 0.0 0.00 8 5900 11.7 5.6 3.43 3.43 % % 63 0.6 0.00
J.P. Crawford
IF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 L 0.182 0.248 0.182 0.00 0.0 0.00 7 5900 18.1 5.1 3.46 3.46 % % 28 0.6 10.00 1.7
Nick Williams
OF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 L 0.263 0.324 0.132 0.00 0.0 0.00 5 5800 13.2 4.6 4.63 4.63 % % 54 0.8 9.00 1.6
Adam Frazier
IF/OF PIT @ PHI 51.7% 3.57 Arrieta, R 3.38 L 0.256 0.282 0.103 0.00 0.0 0.00 1 5700 17.6 3.7 5.60 5.60 % % 19 1 0.00
Jorge Alfaro
IF PHI vs PIT 48.3% 3.44 Taillon, R 0.89 R 0.194 0.257 0.083 0.00 0.0 0.00 8 5900 15.9 3.8 2.75 2.75 % % 14 0.5 0.00
Matt Harvey
P NYM @ ATL 48.8% 4.81 Wisler, R R 4.80 0.000 0.000 5.00 7.7 1.40 13000 22.6 10.2 6.77 6.77 % % 22 0.5 4.10 0.3
Freddie Freeman
IF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 L 0.288 0.429 0.203 0.00 0.0 0.00 3 10100 29.6 10.0 12.68 12.68 % % 58 1.3 10.00 1
Ozzie Albies
IF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 B 0.307 0.399 0.333 0.00 0.0 0.00 2 8400 30.2 11.1 11.48 11.48 % % 58 1.4 16.00 1.9
Todd Frazier
IF NYM @ ATL 48.8% 4.69 Wisler, R R 0.291 0.408 0.200 0.00 0.0 0.00 5 7300 25.7 9.1 10.51 10.51 % % 58 1.4 14.00 1.9
Asdrubal Cabrera
IF NYM @ ATL 48.8% 4.69 Wisler, R B 0.343 0.419 0.269 0.00 0.0 0.00 3 7400 29 9.8 11.39 11.39 % % 55 1.5 5.00 0.7
Michael Conforto
OF NYM @ ATL 48.8% 4.69 Wisler, R L 0.250 0.386 0.167 0.00 0.0 0.00 1 9400 22.9 7.3 12.54 12.54 % % 64 1.3 2.00 0.2
Yoenis Cespedes
OF NYM @ ATL 48.8% 4.69 Wisler, R R 0.217 0.299 0.188 0.00 0.0 0.00 2 8400 26.6 8.1 11.10 11.10 % % 52 1.3 0.00
Dansby Swanson
IF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 R 0.358 0.417 0.224 0.00 0.0 0.00 7 6700 21.5 9.9 5.99 5.99 % % 61 0.9 7.00 1
Nick Markakis
OF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 L 0.279 0.352 0.132 0.00 0.0 0.00 4 6300 21.7 7.7 8.68 8.68 % % 58 1.4 14.00 2.2
Ender Inciarte
OF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 L 0.232 0.246 0.029 0.00 0.0 0.00 1 7400 18.6 6.8 9.08 9.08 % % 65 1.2 9.00 1.2
Preston Tucker
OF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 L 0.271 0.348 0.229 0.00 0.0 0.00 6 5500 22.3 6.6 6.22 6.22 % % 39 1.1 22.00 4
Ryan Flaherty
IF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 L 0.365 0.422 0.135 0.00 0.0 0.00 8 5700 19.5 8.4 4.80 4.80 % % 56 0.8 4.00 0.7
Jay Bruce
OF NYM @ ATL 48.8% 4.69 Wisler, R L 0.200 0.292 0.146 0.00 0.0 0.00 4 7700 23.3 5.5 9.66 9.66 % % 38 1.3 0.00
Adrian Gonzalez
IF NYM @ ATL 48.8% 4.69 Wisler, R L 0.231 0.309 0.103 0.00 0.0 0.00 6 6900 18.7 5.7 6.95 6.95 % % 48 1 17.00 2.5
Kurt Suzuki
IF ATL vs NYM 51.2% 4.81 Harvey, R 4.80 R 0.270 0.368 0.189 0.00 0.0 0.00 5 5700 22.6 6.3 6.49 6.49 % % 36 1.1 34.00 6
Amed Rosario
IF NYM @ ATL 48.8% 4.69 Wisler, R R 0.226 0.265 0.094 0.00 0.0 0.00 9 5600 13 5.1 3.35 3.35 % % 53 0.6 5.00 0.9
Jose Lobaton
IF NYM @ ATL 48.8% 4.69 Wisler, R B 0.100 0.286 0.200 0.00 0.0 0.00 7 4600 9.5 3.6 4.19 4.19 % % 63 0.9 4.00 0.9
Matt Wisler
P ATL vs NYM 51.2% 4.69 Harvey, R 4.80 R 0.000 0.000 0.00 0.0 0.00 9300 4.1 4.10 4.10 % % 0 0.4 32.55 3.5
Chase Anderson
P MIL vs MIA 64.9% 3.75 Peters, L 6.75 R 2.82 0.000 0.000 5.60 7.2 0.99 18500 33.2 15.3 17.21 17.21 % % 48 0.9 11.20 0.6
Dillon Peters
P MIA @ MIL 35.1% 5.25 Anderson, R 2.82 L 6.75 0.000 0.000 4.90 5.0 1.70 10200 34.5 6.5 6.69 6.69 % % 0 0.7 5.70 0.6
Christian Yelich
OF MIL vs MIA 64.9% 5.25 Peters, L 6.75 L 0.393 0.445 0.179 0.00 0.0 0.00 2 7800 32.1 10.3 10.91 10.91 % % 48 1.4 5.00 0.6
Justin Bour
IF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 L 0.217 0.318 0.217 0.00 0.0 0.00 4 5500 23.7 6.9 7.40 7.40 % % 41 1.3 3.00 0.5
Travis Shaw
IF MIL vs MIA 64.9% 5.25 Peters, L 6.75 L 0.260 0.324 0.164 0.00 0.0 0.00 4 8300 22.4 6.7 11.36 11.36 % % 59 1.4 11.00 1.3
Lorenzo Cain
OF MIL vs MIA 64.9% 5.25 Peters, L 6.75 R 0.274 0.336 0.113 0.00 0.0 0.00 1 7400 24.6 7.8 10.62 10.62 % % 55 1.4 34.00 4.6
Starlin Castro
IF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 R 0.290 0.304 0.029 0.00 0.0 0.00 3 7400 15.8 6.9 7.63 7.63 % % 71 1 3.00 0.4
Miguel Rojas
IF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 R 0.299 0.344 0.134 0.00 0.0 0.00 2 5700 16.1 7.0 6.49 6.49 % % 66 1.1 0.00
Derek Dietrich
IF/OF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 L 0.276 0.309 0.079 0.00 0.0 0.00 1 5900 18.1 6.8 6.38 6.38 % % 57 1.1 2.00 0.3
Domingo Santana
OF MIL vs MIA 64.9% 5.25 Peters, L 6.75 R 0.232 0.261 0.015 0.00 0.0 0.00 3 5800 14.3 4.2 8.41 8.41 % % 65 1.5 6.00 1
J.T. Realmuto
IF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 R 0.500 0.713 0.750 0.00 0.0 0.00 5 6600 6.4 25.0 6.35 6.35 % % 0 1 0.00
Brian Anderson
IF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 R 0.246 0.348 0.115 0.00 0.0 0.00 6 8000 16.1 7.3 5.40 5.40 % % 63 0.7 0.00
Jesus Aguilar
IF MIL vs MIA 64.9% 5.25 Peters, L 6.75 R 0.375 0.418 0.083 0.00 0.0 0.00 5 5500 15.1 3.5 7.30 7.30 % % 44 1.3 23.00 4.2
Orlando Arcia
IF MIL vs MIA 64.9% 5.25 Peters, L 6.75 R 0.203 0.231 0.068 0.00 0.0 0.00 7 5700 13.3 3.9 5.16 5.16 % % 48 0.9 14.00 2.5
Hernan Perez
IF/OF MIL vs MIA 64.9% 5.25 Peters, L 6.75 R 0.189 0.252 0.162 0.00 0.0 0.00 6 5900 17.6 3.6 6.06 6.06 % % 20 1 5.00 0.8
Cameron Maybin
OF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 R 0.234 0.289 0.085 0.00 0.0 0.00 7 5500 13 4.0 3.83 3.83 % % 43 0.7 6.00 1.1
Jett Bandy
IF MIL vs MIA 64.9% 5.25 Peters, L 6.75 R 0.233 0.314 0.133 0.00 0.0 0.00 8 5500 13.5 4.6 4.26 4.26 % % 50 0.8 7.00 1.3
Lewis Brinson
OF MIA @ MIL 35.1% 3.75 Anderson, R 2.82 R 0.131 0.156 0.000 0.00 0.0 0.00 8 5900 12.1 3.0 3.16 3.16 % % 26 0.5 30.00 5.1
Zack Greinke
P ARI vs SF 63.5% 3.61 Blach, L 4.43 R 5.29 0.000 0.000 5.70 11.1 1.18 20600 33.7 17.2 16.91 16.91 % % 51 0.8 19.35 0.9
Ty Blach
P SF @ ARI 36.5% 4.89 Greinke, R 5.29 L 4.43 0.000 0.000 5.10 4.1 1.62 10800 22.6 7.0 6.03 6.03 % % 0 0.6 12.10 1.1
Paul Goldschmidt
IF ARI vs SF 63.5% 4.89 Blach, L 4.43 R 0.250 0.408 0.300 0.00 0.0 0.00 3 9300 27.9 9.6 12.46 12.46 % % 60 1.3 5.00 0.5
David Peralta
OF ARI vs SF 63.5% 4.89 Blach, L 4.43 L 0.356 0.425 0.186 0.00 0.0 0.00 1 8200 22.2 10.4 10.54 10.54 % % 72 1.3 5.00 0.6
Andrew McCutchen
OF SF @ ARI 36.5% 3.61 Greinke, R 5.29 R 0.209 0.276 0.119 0.00 0.0 0.00 3 7200 29.2 7.2 7.37 7.37 % % 24 1 5.00 0.7
A.J. Pollock
OF ARI vs SF 63.5% 4.89 Blach, L 4.43 R 0.254 0.361 0.302 0.00 0.0 0.00 4 9100 29.7 9.8 10.82 10.82 % % 52 1.2 14.00 1.5
Evan Longoria
IF SF @ ARI 36.5% 3.61 Greinke, R 5.29 R 0.241 0.321 0.259 0.00 0.0 0.00 6 5800 22.1 7.1 5.94 5.94 % % 43 1 0.00
Buster Posey
IF SF @ ARI 36.5% 3.61 Greinke, R 5.29 R 0.291 0.352 0.164 0.00 0.0 0.00 4 8000 19.3 7.3 7.82 7.82 % % 61 1 3.00 0.4
Joe Panik
IF SF @ ARI 36.5% 3.61 Greinke, R 5.29 L 0.293 0.366 0.190 0.00 0.0 0.00 2 6600 18.3 7.5 6.93 6.93 % % 62 1.1 3.00 0.5
Nick Ahmed
IF ARI vs SF 63.5% 4.89 Blach, L 4.43 R 0.229 0.327 0.208 0.00 0.0 0.00 6 5900 22.7 6.9 6.17 6.17 % % 40 1 0.00
Chris Owings
IF/OF ARI vs SF 63.5% 4.89 Blach, L 4.43 R 0.275 0.318 0.137 0.00 0.0 0.00 5 6500 20.1 6.1 7.02 7.02 % % 47 1.1 0.00
Ketel Marte
IF ARI vs SF 63.5% 4.89 Blach, L 4.43 B 0.236 0.269 0.111 0.00 0.0 0.00 2 6800 20.1 6.1 7.94 7.94 % % 50 1.2 14.00 2.1
Brandon Belt
IF/OF SF @ ARI 36.5% 3.61 Greinke, R 5.29 L 0.255 0.353 0.170 0.00 0.0 0.00 5 6900 19.2 6.9 5.04 5.04 % % 49 0.7 14.00 2
Brandon Crawford
IF SF @ ARI 36.5% 3.61 Greinke, R 5.29 L 0.241 0.289 0.111 0.00 0.0 0.00 7 5400 14 4.6 3.31 3.31 % % 42 0.6 0.00
Gregor Blanco
OF SF @ ARI 36.5% 3.61 Greinke, R 5.29 L 0.375 0.393 0.083 0.00 0.0 0.00 1 4900 10.8 4.8 2.99 2.99 % % 59 0.6 3.00 0.6
Deven Marrero
IF ARI vs SF 63.5% 4.89 Blach, L 4.43 R 0.200 0.171 0.000 0.00 0.0 0.00 7 4800 11.3 3.6 4.25 4.25 % % 51 0.9 5.00 1
Jeff Mathis
IF ARI vs SF 63.5% 4.89 Blach, L 4.43 R 0.118 0.198 0.000 0.00 0.0 0.00 8 4200 7.3 2.0 3.39 3.39 % % 52 0.8 12.00 2.9
Gorkys Hernandez
OF SF @ ARI 36.5% 3.61 Greinke, R 5.29 R 0.375 0.379 0.188 0.00 0.0 0.00 8 5500 15.9 3.6 3.41 3.41 % % 13 0.6 0.00
Eduardo Rodriguez
P BOS @ LAA 49.3% 4.28 Tropeano, R 0.00 L 3.72 0.000 0.000 4.80 14.1 1.45 14700 27.2 19.7 11.91 11.91 % % 0 0.8 19.90 1.4
Nick Tropeano
P LAA vs BOS 50.7% 4.22 Rodriguez, L 3.72 R 0.00 0.000 0.000 6.70 8.1 1.20 10900 12 26.2 11.97 11.97 % % 0 1.1 2.60 0.2
Mike Trout
OF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.286 0.417 0.300 0.00 0.0 0.00 2 10300 30.2 11.2 12.70 12.70 % % 61 1.2 0.00
Mookie Betts
OF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 R 0.390 0.514 0.373 0.00 0.0 0.00 1 10100 38.8 13.5 13.36 13.36 % % 53 1.3 21.00 2.1
Justin Upton
OF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.278 0.350 0.208 0.00 0.0 0.00 3 9000 27 9.2 10.53 10.53 % % 55 1.2 0.00
Andrew Benintendi
OF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 L 0.255 0.352 0.146 0.00 0.0 0.00 2 8000 27.3 9.6 10.69 10.69 % % 57 1.3 21.00 2.6
Shohei Ohtani
P LAA vs BOS 50.7% 4.22 Rodriguez, L 3.72 R 3.60 0.570 0.546 1.70 11.1 0.80 8300 30.3 16.6 4.47 4.47 % % 22 0.5 0.00
J.D. Martinez
OF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 R 0.313 0.382 0.266 0.00 0.0 0.00 4 9000 27.6 9.8 10.69 10.69 % % 57 1.2 19.00 2.1
Zack Cozart
IF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.247 0.313 0.178 0.00 0.0 0.00 7 8500 20.2 7.9 6.55 6.55 % % 57 0.8 5.00 0.6
Hanley Ramirez
IF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 R 0.322 0.388 0.220 0.00 0.0 0.00 3 9000 26.8 11.0 10.56 10.56 % % 63 1.2 11.00 1.2
Ian Kinsler
IF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.368 0.401 0.158 0.00 0.0 0.00 1 8200 27.1 10.4 9.44 9.44 % % 58 1.2 3.00 0.4
Albert Pujols
IF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.282 0.322 0.167 0.00 0.0 0.00 4 7700 21.6 7.5 8.83 8.83 % % 57 1.1 0.00
Andrelton Simmons
IF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.296 0.324 0.085 0.00 0.0 0.00 5 7500 19.9 7.5 7.84 7.84 % % 60 1 11.00 1.5
Rafael Devers
IF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 L 0.273 0.357 0.227 0.00 0.0 0.00 6 7500 21.8 8.8 7.24 7.24 % % 59 1 15.00 2
Eduardo Nunez
IF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 R 0.268 0.343 0.196 0.00 0.0 0.00 7 7500 21.6 7.8 8.25 8.25 % % 57 1.1 0.00
Mitch Moreland
IF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 L 0.355 0.442 0.226 0.00 0.0 0.00 5 6300 24.5 7.5 7.51 7.51 % % 43 1.2 7.00 1.1
Brock Holt
IF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 L 0.207 0.306 0.138 0.00 0.0 0.00 9 5600 14.9 5.5 3.12 3.12 % % 47 0.6 10.00 1.8
Martin Maldonado
IF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.222 0.277 0.044 0.00 0.0 0.00 9 5500 14 5.1 2.81 2.81 % % 45 0.5 0.00
Chris Young
OF LAA vs BOS 50.7% 4.28 Rodriguez, L 3.72 R 0.273 0.276 0.091 0.00 0.0 0.00 8 5500 11.3 3.8 3.78 3.78 % % 50 0.7 14.00 2.5
Christian Vazquez
IF BOS @ LAA 49.3% 4.22 Tropeano, R 0.00 R 0.244 0.270 0.044 0.00 0.0 0.00 8 6000 12.9 5.1 3.98 3.98 % % 56 0.7 0.00
×
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 $100,000 if left blank.

FLEX Position

Hitters vs Pitcher

Global Exposure Setting
apply exposure as

Randomness
Use Randomness
Players Per Team Change All MAX
MIN MAX MIN MAX
BAL
@
DET
STL
@
CHC
HOU
@
SEA
TOR
@
NYY
PIT
@
PHI
NYM
@
ATL
MIA
@
MIL
SF
@
ARI
BOS
@
LAA
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.