Saahil Sud, formerly Maxdalury, talks about best practices around selecting tight ends, kickers and defense for cash games.

1. Course 4: NFL Strategy
TE/K/DEF Selection for Cash Games
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2. I. TE Selection

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TE Selection: Key Stats
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Stat Notes
Targets Notes WR opportunity regardless matchup
YpC (Yards per
Carry/Catch)
Great indicator of performance and perceived ownership
Playcall Distribution Better offenses get more opportunities to score
DvP Matchup Great matchups indicate consistent and chalk plays
Salary Bargain values available at WR position
Value FPTs / Salary

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TE Selection: Using Vegas
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Stat Notes
Game Flow How a game is expected to play out via Vegas
Spread Larger spread = higher chance of blowout
Over / Under Higher O/U = high possibility of fantasy points
Team Projected Points Relate to opponent helps predict game flow
Snap Count Indicates how much opportunity a player gets during a game
Red Zone Targets Touches inside the scoring area

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TE CV
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Source: 4for4
Note: data is from 2013-2014 NFL Season
Coefficient of Variation (CV)
Position
CV by Position
Coefficient of Variation (CV) -- the standard deviation of a data set divided by its mean. CVs can be
used as a measure of consistency.

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Low Cost TE Performance
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Source: FantasyLabs
Note: data is from 2014 NFL Season
For TE priced less than $4K, how often do they miss, hit or double the their
expected fantasy output?

7. www.rotoql.com
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Plus/Minus for Big Spread Games
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Source: Fantasy Labs
Note: data is from 2014-2015 NFL Season
Position
Plus/Minus
Plus/Minus by Position for Games with Double Digit Spreads

8. II. Kicker Selection

9. www.rotoql.com
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Kicker Selection: Key Stats
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Stat Notes
Weather Bad conditions will deter kicker’s accuracy
Team Proj. Points Indicates team’s predicted ability to score in a matchup
Pace Tracks seconds per play in different situations (Football Outsiders)
Red Zone Inefficiency Inability to convert in scoring area leads to FG opportunities
Salary Usually looking for a cheap kicker to fill out the roster
Value Try to get best FPTs per salary as possible

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K CV
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Source: 4for4
Note: data is from 2013-2014 NFL Season
Coefficient of Variation (CV)
Position
CV by Position
Coefficient of Variation (CV) -- the standard deviation of a data set divided by its mean. CVs can be
used as a measure of consistency.

11. III. Defense Selection

12. www.rotoql.com
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Defense Selection: Key Stats
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Stat Notes
Weather Bad conditions can boost DST’s fantasy ceiling
Opposing Matchup RotoQL offers defensive ranking based on FPTs allowed
Opposing Sack Rate Shaky offensive line is a great target
Turnovers Ability to create interceptions, fumbles, DTDs
Opponent Turnovers Opposing team gives up interceptions, fumbles, DTDs
Value Most of the time looking for bargain prices

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Defense Selection: Using Vegas
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● Vegas Projected Points Against
● Spread, Over / Under
● Game Flow

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DST CV
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Source: 4for4
Note: data is from 2013-2014 NFL Season
Coefficient of Variation (CV)
Position
CV by Position
Coefficient of Variation (CV) -- the standard deviation of a data set divided by its mean. CVs can be
used as a measure of consistency.

15. www.rotoql.com
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Plus/Minus for Big Spread Games
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Source: Fantasy Labs
Note: data is from 2014-2015 NFL Season
Position
Plus/Minus
Plus/Minus by Position for Games with Double Digit Spreads

16. www.rotoql.com
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NFL Cash Game Lineup Example
Source: DFS Mancave
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17. www.rotoql.com
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More Resources
Visit our Support Center to watch video tutorials on how to use RotoQL
• rotoql.zendesk.com
Monitor daily fantasy news, strategy and advice articles at the QL Wire
• rotoql.com/qlwire
If you are new to DFS or just need a refresher on the fundamentals, visit RotoU
• rotoql.com/university
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