NHL Draftkings_pickem 2018-11-18 Optimal Lineups | Fantasy Cruncher

General
Position Stacks
Team Line PP Stacks
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Unique Players per Lineup

Offensive Players vs Goalie

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COL

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ANA

VGK

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EDM

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 and same Line or PP unit (otherwise known as stacking) this is where to do it. You can add a single stack with the remaining players not needing to be from the same team/line/PP Unit, or you can add multiple stacks per lineup so that all of the players are paired with other players from the same team/line/PP Unit.

To get started, click on the Add Stack link. You will need to select how many players you want used in the stack, which Line/PP units you want possibly stacked and which teams you would like possibly used for the first stack.

You can select multiple Lines/PP Units, or leave this blank and it will just stack players from the same team. You can also choose to stack only Forwards (Centers and Wings) or allow all positions (Centers, Wings and Defense Men) to be stacked.

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 skaters from 1 team, and 4 skaters from another.

Positional Stacking

Stack Rule
Limit Rule

Create New Stacking Rule

Stack with of Positions From

Optional for this rule Players from the following teams

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Stacking Rules

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If you have uploaded your own data columns, you can use the data to enforce restrictions on the lineups created. A good use case may be uploading ownership projections and then restricting each lineup to a maximum ownership total.

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Taylor Hall	T1/W	NJ	@ CAR	1	1	2.55	36.4%	100	14.0	4.0	4.42	4.42	%	%	66	44.2	2.0	20
Kyle Palmieri	T2/W	NJ	@ CAR	1	1	2.55	36.4%	100	11.0	3.2	3.80	3.80	%	%	62	38	1.5	15
Sebastian Aho	T3/C	CAR	vs NJ	1	1	3.45	63.6%	100	15.5	3.2	4.85	4.85	%	%	58	48.5	0.5	5
Travis Zajac	T4/C	NJ	@ CAR	1	1	2.55	36.4%	100	13.5	2.2	2.45	2.45	%	%	49	24.5	1.0	10
Micheal Ferland	T4/W	CAR	vs NJ	1	1	3.45	63.6%	100	8.5	2.0	3.51	3.51	%	%	52	35.1	4.0	40
Blake Coleman	T5/W	NJ	@ CAR	3		2.55	36.4%	100	9.5	2.1	2.56	2.56	%	%	54	25.6	2.5	25
Justin Faulk	T5/D	CAR	vs NJ	2	1	3.45	63.6%	100	13.5	3.2	3.34	3.34	%	%	65	33.4	1.5	15
Dougie Hamilton	T6/D	CAR	vs NJ	1	2	3.45	63.6%	100	13.0	3.2	3.86	3.86	%	%	65	38.6	5.0	50
Teuvo Teravainen	T6/W	CAR	vs NJ	1	1	3.45	63.6%	100	15.0	2.5	3.90	3.90	%	%	55	39	2.5	25
Jordan Staal	T7/C	CAR	vs NJ	2	2	3.45	63.6%	100	11.0	2.6	3.51	3.51	%	%	58	35.1	2.5	25
Jaccob Slavin	T7/D	CAR	vs NJ	1	2	3.45	63.6%	100	15.5	2.6	3.82	3.82	%	%	63	38.2	2.5	25
Damon Severson	T8/D	NJ	@ CAR	1	2	2.55	36.4%	100	8.5	1.8	2.13	2.13	%	%	55	21.3	2.5	25
Justin Williams	T8/W	CAR	vs NJ	2	2	3.45	63.6%	100	13.0	2.8	3.62	3.62	%	%	60	36.2	5.0	50
Patrick Kane	T2/W	CHI	vs MIN	1	1	2.89	54.5%	100	15.0	4.4	4.83	4.83	%	%	66	48.3	5.0	50
Mikael Granlund	T2/W	MIN	@ CHI	1	1	2.62	45.5%	100	16.5	3.0	2.99	2.99	%	%	58	29.9	1.5	15
Mathew Dumba	T3/D	MIN	@ CHI	1	2	2.62	45.5%	100	11.5	2.5	3.35	3.35	%	%	58	33.5	5.5	55
Eric Staal	T3/C	MIN	@ CHI	1	1	2.62	45.5%	100	16.5	3.3	2.92	2.92	%	%	61	29.2	2.0	20
Zach Parise	T4/W	MIN	@ CHI	2	2	2.62	45.5%	100	16.5	3.5	3.33	3.33	%	%	61	33.3	5.0	50
Mikko Koivu	T4/C	MIN	@ CHI	2	2	2.62	45.5%	100	10.5	2.8	2.63	2.63	%	%	63	26.3	4.0	40
Jonathan Toews	T5/C	CHI	vs MIN	1	1	2.89	54.5%	100	16.5	3.3	3.15	3.15	%	%	60	31.5	5.5	55
Jason Zucker	T5/W	MIN	@ CHI	1	1	2.62	45.5%	100	15.0	2.9	3.13	3.13	%	%	56	31.3	0.0
Alex DeBrincat	T6/W	CHI	vs MIN	2	2	2.89	54.5%	100	15.0	3.0	3.64	3.64	%	%	52	36.4	1.0	10
Brent Seabrook	T6/D	CHI	vs MIN	1	1	2.89	54.5%	100	11.0	2.9	3.55	3.55	%	%	66	35.5	1.5	15
Ryan Suter	T6/D	MIN	@ CHI	1	1	2.62	45.5%	100	10.0	2.9	2.15	2.15	%	%	65	21.5	0.5	5
Jonas Brodin	T7/D	MIN	@ CHI	2		2.62	45.5%	100	8.0	1.9	2.24	2.24	%	%	57	22.4	1.0	10
Brandon Saad	T8/W	CHI	vs MIN	1		2.89	54.5%	100	13.5	3.0	2.54	2.54	%	%	61	25.4	5.5	55
Jared Spurgeon	T8/D	MIN	@ CHI	2	2	2.62	45.5%	100	10.0	2.7	2.27	2.27	%	%	61	22.7	2.5	25
Nathan MacKinnon	T1/C	COL	@ ANA	1	1	2.75	50%	100	15.0	3.9	4.81	4.81	%	%	62	48.1	10.5	105
Mikko Rantanen	T3/W	COL	@ ANA	1	1	2.75	50%	100	12.0	3.1	4.04	4.04	%	%	56	40.4	8.5	85
Gabriel Landeskog	T3/W	COL	@ ANA	1	1	2.75	50%	100	17.5	3.3	4.36	4.36	%	%	60	43.6	8.0	80
Rickard Rakell	T4/W	ANA	vs COL	1	1	2.75	50%	100	15.2	2.9	3.09	3.09	%	%	58	30.9	1.5	15
Ryan Getzlaf	T5/C	ANA	vs COL	1	1	2.75	50%	100	12.5	3.7	2.57	2.57	%	%	64	25.7	7.0	70
Tyson Barrie	T6/D	COL	@ ANA	2	1	2.75	50%	100	13.0	3.1	3.16	3.16	%	%	63	31.6	6.0	60
Hampus Lindholm	T6/D	ANA	vs COL		2	2.75	50%	100	13.5	2.4	0.00	0.00	%	%	62	0
Carl Soderberg	T7/C	COL	@ ANA	3	2	2.75	50%	100	10.0	2.3	2.59	2.59	%	%	57	25.9	2.0	20
Alexander Kerfoot	T7/W	COL	@ ANA	2	2	2.75	50%	100	11.0	2.1	2.57	2.57	%	%	45	25.7	0.0
Ondrej Kase	T7/W	ANA	vs COL	1	2	2.75	50%	100	10.0	2.0	2.06	2.06	%	%	47	20.6	6.5	65
Ian Cole	T8/D	COL	@ ANA	2		2.75	50%	100	7.5	2.0	2.64	2.64	%	%	60	26.4	1.0	10
Jakob Silfverberg	T8/W	ANA	vs COL	2	2	2.75	50%	100	16.0	2.9	2.82	2.82	%	%	58	28.2	2.0	20
Brandon Montour	T8/D	ANA	vs COL	2	1	2.75	50%	100	9.0	2.3	2.44	2.44	%	%	63	24.4	9.0	90
Connor McDavid	T1/C	EDM	vs VGK	1	1	2.75	50%	100	20.0	4.7	5.55	5.55	%	%	67	55.5	6.0	60
Alex Tuch	T2/W	VGK	@ EDM	2	1	2.75	50%	100	10.0	2.6	3.27	3.27	%	%	58	32.7	2.0	20
Leon Draisaitl	T2/W	EDM	vs VGK	1	1	2.75	50%	100	17.0	3.1	3.53	3.53	%	%	57	35.3	6.5	65
Jonathan Marchessault	T4/W	VGK	@ EDM	1	1	2.75	50%	100	13.0	3.4	4.12	4.12	%	%	60	41.2	10.5	105
Shea Theodore	T5/D	VGK	@ EDM	1	2	2.75	50%	100	11.0	2.3	2.80	2.80	%	%	56	28	5.5	55
Ryan Nugent-Hopkins	T5/C	EDM	vs VGK	2	1	2.75	50%	100	15.5	3.0	3.59	3.59	%	%	62	35.9	3.0	30
Cody Eakin	T6/C	VGK	@ EDM	2		2.75	50%	100	11.0	2.0	1.70	1.70	%	%	50	17	5.0	50
William Karlsson	T7/C	VGK	@ EDM	1	2	2.75	50%	100	14.0	2.4	2.71	2.71	%	%	48	27.1	7.0	70
Colin Miller	T7/D	VGK	@ EDM	2	1	2.75	50%	100	10.5	2.1	2.35	2.35	%	%	57	23.5	7.5	75
Oscar Klefbom	T8/D	EDM	vs VGK	1	1	2.75	50%	100	11.5	2.8	2.42	2.42	%	%	64	24.2	3.5	35

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