NFL Week 12 (Season-Long) Player Rankings

Happy Thanksgiving again!  This week I’m also providing you all with fantasy football player rankings for your season-long leagues.  Forget Daily Fantasy Sports, who are the going to be the true top point scorers for the week?  Let’s Go!

(No PPR, 1/2 point PPR, and PPR formats)

Sorted by No PPR

QB

# Name Team Opp No PPR Status
1 Tom Brady NWE NYJ 9.04 Q
2 Ben Roethlisberger PIT IND 7.81
3 Drew Brees NOR LA 7.75
4 Derek Carr OAK CAR 6.67
5 Matt Ryan ATL ARI 6.58
6 Kirk Cousins WAS DAL 6.43
7 Carson Palmer ARI ATL 6.06
8 Aaron Rodgers GNB PHI 5.94
9 Sam Bradford MIN DET 5.72
10 Eli Manning NYG CLE 5.51
11 Russell Wilson SEA TB 4.99
12 Philip Rivers SDG HOU 4.83
13 Joe Flacco BAL CIN 4.38
14 Andy Dalton CIN BAL 4.25 Q
15 Matthew Stafford DET MIN 4.24
16 Jameis Winston TAM SEA 3.96
17 Marcus Mariota TEN CHI 3.94
18 Blake Bortles JAX BUF 3.68
19 Carson Wentz PHI GB 2.80
20 Cam Newton CAR OAK 2.49
21 Shaun Hill MIN DET 2.21
22 Trevor Siemian DEN KC 1.99
23 Alex Smith KAN DEN 1.94
24 Ryan Tannehill MIA SF 1.80
25 Case Keenum LAR NO 1.69

RB

# Name Team Opp No PPR 1/2 pt PPR 1 pt PPR Status
1 Le’Veon Bell PIT IND 17.87 17.47 17.23
2 Jay Ajayi MIA SF 17.01 16.01 15.98
3 David Johnson ARI ATL 15.34 15.89 16.10
4 Ezekiel Elliott DAL WAS 14.86 15.10 15.05
5 Melvin Gordon SDG HOU 11.39 11.05 10.88
6 DeMarco Murray TEN CHI 10.63 10.73 10.73 Q
7 Lamar Miller HOU SD 10.57 10.83 10.88 Q
8 LeSean McCoy BUF JAC 9.51 9.70 9.85 Q
9 Spencer Ware KAN DEN 7.99 7.85 7.77
10 Frank Gore IND PIT 7.56 7.39 7.50
11 Jordan Howard CHI TEN 7.49 7.44 7.29
12 Matt Forte NYJ NE 6.49 6.81 6.93
13 Bilal Powell NYJ NE 6.48 6.79 6.92
14 LeGarrette Blount NWE NYJ 5.93 6.19 6.24
15 Devonta Freeman ATL ARI 5.39 5.40 5.37
16 Todd Gurley LAR NO 5.36 5.20 5.08
17 Mark Ingram NOR LA 5.32 5.30 5.28 Q
18 Theo Riddick DET MIN 4.88 4.88 4.95 Q
19 Carlos Hyde SFO MIA 4.68 4.69 4.69
20 Jacquizz Rodgers TAM SEA 4.52 4.59 4.70 Q
21 Matt Jones WAS DAL 4.26 4.30 4.29
22 Rashad Jennings NYG CLE 4.20 4.02 3.85
23 Latavius Murray OAK CAR 4.16 4.48 4.70 Q
24 Isaiah Crowell CLE NYG 3.88 3.89 3.79
25 Darren Sproles PHI GB 3.71 3.73 3.70 Q
26 Christine Michael SEA PHI 3.30 3.37 3.38
27 Jeremy Hill CIN BAL 3.13 3.33 3.54
28 Terrance West BAL CIN 3.02 3.02 2.96
29 Jalen Richard OAK CAR 2.99 3.23 3.39
30 Duke Johnson Jr. CLE NYG 2.88 2.88 2.81
31 Andy Janovich DEN KC 2.85 2.86 2.91
32 Rob Kelley WAS DAL 2.50 2.52 2.51


WR

# Name Team Opp No PPR 1/2 pt PPR 1 pt PPR Status
1 Antonio Brown PIT IND 17.36 17.55 17.62
2 Larry Fitzgerald ARI ATL 16.13 16.03 15.80
3 Mike Evans TAM SEA 15.48 16.30 16.37
4 Odell Beckham Jr. NYG CLE 14.52 13.90 13.67
5 Jordy Nelson GNB PHI 13.78 13.48 13.19
6 Amari Cooper OAK CAR 13.34 13.21 13.04
7 Julio Jones ATL ARI 13.12 13.72 13.69 Q
8 Stefon Diggs MIN DET 12.95 12.98 13.09 Q
9 Demaryius Thomas DEN KC 11.85 11.90 12.16
10 Michael Crabtree OAK CAR 11.53 11.42 11.27 Q
11 Doug Baldwin SEA TB 11.35 10.92 10.69
12 Jordan Matthews PHI GB 11.30 10.53 10.11
13 Jarvis Landry MIA SF 11.14 10.60 10.36 Q
14 Emmanuel Sanders DEN KC 11.08 11.12 11.36
15 Davante Adams GNB PHI 11.03 10.79 10.56
16 T.Y. Hilton IND PIT 10.86 11.46 12.09
17 Allen Robinson JAX BUF 10.73 10.58 10.59
18 Brandin Cooks NOR LA 10.60 10.89 11.15
19 Michael Thomas NOR LA 10.06 10.34 10.59
20 Kelvin Benjamin CAR OAK 9.71 9.60 9.83
21 Dez Bryant DAL WAS 9.53 9.53 9.69 Q
22 Terrelle Pryor Sr. CLE NYG 9.43 9.54 9.48
23 DeAndre Hopkins HOU SD 9.01 8.91 8.97
24 Kenny Britt LAR NO 8.74 8.75 8.88
25 Julian Edelman NWE NYJ 8.69 8.72 8.82
26 Randall Cobb GNB PHI 8.69 8.50 8.32
27 Mike Wallace BAL CIN 8.67 8.61 8.60
28 Willie Snead NOR LA 8.59 8.83 9.04
29 Jamison Crowder WAS DAL 8.52 8.75 8.73
30 Steve Smith Sr. BAL CIN 8.38 8.33 8.32
31 Cole Beasley DAL WAS 8.09 8.09 8.23
32 Sterling Shepard NYG CLE 8.05 7.70 7.58
33 Rishard Matthews TEN CHI 7.80 7.95 7.93
34 Brandon Marshall NYJ NE 7.00 6.94 6.95
35 DeVante Parker MIA SF 6.75 6.42 6.27
36 Pierre Garcon WAS DAL 6.53 6.71 6.69
37 Tyrell Williams SDG HOU 6.28 6.45 6.57
38 Corey Coleman CLE NYG 6.24 6.31 6.27
39 Donte Moncrief IND PIT 6.12 6.46 6.81 Q
40 Jeremy Kerley SFO MIA 5.83 5.65 5.56
41 Quincy Enunwa NYJ NE 5.45 5.40 5.41 Q
42 DeSean Jackson WAS DAL 5.08 5.22 5.21 Q
43 Will Fuller HOU SD 5.02 4.96 4.99 Q
44 Brandon LaFell CIN BAL 5.01 4.90 4.74 Q
45 Travis Benjamin SDG HOU 4.98 5.11 5.21
46 Marvin Jones Jr. DET MIN 4.87 5.32 5.37
47 Golden Tate DET MIN 4.85 5.30 5.35
48 Tavon Austin LAR NO 4.80 4.81 4.88
49 Marqise Lee JAX BUF 4.75 4.69 4.69
50 Eddie Royal CHI TEN 4.71 4.85 4.89 Q
51 Adam Thielen MIN DET 4.68 4.69 4.73
52 Eli Rogers PIT IND 4.63 4.68 4.70
53 Allen Hurns JAX BUF 4.37 4.31 4.31
54 Kendall Wright TEN CHI 4.14 4.22 4.21
55 Mohamed Sanu ATL ARI 4.13 4.32 4.31
56 John Brown ARI ATL 3.79 3.76 3.71
57 Jeremy Maclin KAN DEN 3.46 3.49 3.53 Q
58 Tajae Sharpe TEN CHI 3.43 3.50 3.48
59 Anquan Boldin DET MIN 3.43 3.75 3.78
60 Kenny Stills MIA SF 3.29 3.13 3.06 Q
61 Adam Humphries TAM SEA 3.29 3.47 3.48
62 Brian Quick LAR NO 3.20 3.20 3.25
63 Michael Floyd ARI ATL 3.19 3.17 3.12
64 Seth Roberts OAK CAR 2.69 2.66 2.62


TE

# Name Team Opp No PPR 1/2 pt PPR 1 pt PPR Status
1 Jason Witten DAL WAS 12.11 12.53 13.04
2 Dennis Pitta BAL CIN 11.30 10.87 10.65
3 Greg Olsen CAR OAK 16.97 16.43 15.87
4 Eric Ebron DET MIN 10.93 11.00 10.88
5 Jordan Reed WAS DAL 14.34 14.95 15.09
6 Zach Miller CHI Chi 7.18 7.31 7.27
7 Kyle Rudolph MIN DET 10.03 9.49 9.09
8 Zach Ertz PHI GB 8.25 7.98 7.91
9 Travis Kelce KAN DEN 7.85 8.29 8.42
10 Jimmy Graham SEA TB 9.99 9.69 9.83 Q
11 Delanie Walker TEN CHI 8.57 8.72 8.68
12 Lance Kendricks LAR NO 5.44 5.36 5.28
13 Jack Doyle IND PIT 4.80 4.85 4.80
14 Martellus Bennett NWE NYJ 6.01 6.41 6.45
15 Gary Barnidge CLE NYG 4.99 5.15 5.13
16 Cameron Brate TAM SEA 4.55 4.68 4.82
17 Rob Gronkowski NWE NYJ 8.32 8.87 8.93 Q
18 Julius Thomas JAX BUF 4.50 4.31 4.48 Q
19 C.J. Fiedorowicz HOU SD 4.38 4.44 4.41 Q
20 Antonio Gates SDG HOU 4.82 5.18 5.32
21 Tyler Eifert CIN BAL 4.52 5.38 5.76
22 Charles Clay BUF JAC 3.14 3.11 3.05 Q
23 Coby Fleener NOR LA 3.56 3.53 3.53
24 Jared Cook GNB PHI 2.86 2.79 2.71
25 Vance McDonald SFO MIA 3.03 2.94 2.93

thanks

Thanksgiving NFL Week 12 Fantasy Football Rankings

Week 12 NFL Fantasy Football Rankings (Click to Download .xlsx)

     Here we are, Week 12 of the NFL Season starting off with Thanksgiving Games!  We have an absolutely huge slate with some monster value plays this week, so check it out!  Let’s talk Fantasy Football on Twitter @MSilbAnalytics.

Sorted by Average Value+ between FanDuel and DraftKings

QB

12qb

RB

12rb

WR

12wr

TE

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Week 11 NFL Fantasy Football Intriguing Plays

NFL Sunday is here!  I’m still coming down from an amazing SEC East clinching win for the Florida Gators, and now it’s time to see if we can keep the good weekend going!  Here’s some unconventional names to check out when you get your week 11 Season-Long Fantasy Football, or Daily Fantasy Sports Lineups.  Good luck to all and contact me on Twitter @MSilbAnalytics.

Click here for Week 11 Player Rankings

Name Pos Score+ DK $ FD $ Matchup
Kirk Cousins QB 93.49 5800 7600 GB@WAS
Blake Bortles QB 63.59 5400 7200 JAC@DET
Isaiah Crowell RB 76.18 3900 6200 PIT@CLE
Lamar Miller RB 129.54 5800 7100 HOU@OAK
Spencer Ware RB 127.76 6000 7700 TB@KC
Jordan Howard RB 139.61 5800 6800 CHI@NYG
Jeremy Kerley WR 103.55 3500 5300 NE@SF
Doug Baldwin WR 159.50 5700 6700 PHI@SEA
Michael Thomas WR 163.13 6600 6500 NO@CAR
Kenny Britt WR 136.38 5200 6800 MIA@LA
Jamison Crowder WR 135.62 5400 6300 GB@WAS
Mike Wallace WR 149.48 5500 6800 BAL@DAL
Cole Beasley WR 129.41 5300 6400 BAL@DAL
Jordan Matthews WR 140.92 5400 5800 PHI@SEA
Marvin Jones Jr. WR 130.35 5000 6500 JAC@DET
Dennis Pitta TE 133.80 3600 4800 BAL@DAL
Zach Miller TE 138.25 3800 5500 CHI@NYG
Eric Ebron TE 173.30 4100 5400 JAC@DET
Martellus Bennett TE 117.74 3700 5200 NE@SF
Jack Doyle TE 88.68 3300 5000 TEN@IND

UF 16 – LSU 10 | Post-Game Heart Rate Analysis

UF 16 – LSU 10

*Scroll down to skip UF fandom*

     What a game!  The build-up was insane, and the game lived up to the hype and even delivered more!  The UF vs LSU Football game was originally scheduled for October 8th in Gainesville, FL but was then canceled due to projected devastation of Hurricane Matthew.  The storm hit hard in Daytona and Jacksonville causing severe flooding, property damage, and other extreme conditions on the roads and elsewhere.  It was unsafe for people to be traveling throughout the state of Florida, let alone go to a football game.  The University of Florida Athletic Department tried to work with the SEC and Louisiana State University to reschedule the game, but LSU refused to comply.  Eventually, an agreement was reached to have the game played on November 19th in Baton Rouge, LA (?), LSU’s FCS opponent would be bought out, and the University of Florida would receive compensation for two lost home games, as well as giving UF a home game for the series in 2017.

Long story short, UF gave up a home game to get the game played after LSU refused to comply, and for some reason LSU created a story that the Gators were “scared” to play?  We’re going to play in Death Valley instead of at home in The Swamp.  Tell me again how we’re scared? Scroll to the bottom

The game:

Absolute Insanity

When UF got the ball on their own 2 yard line in the 3rd quarter, I decided to get my watch and track heart rates throughout the game.  Here’s what we got.  The orange line is average heart rate for the minute block, with gray lines showing minimums and maximums.

uflsuheartrate

What a game.  Go Gators.  Think again about who was scared, LSU.

 Twitter: @MSilbAnalytics

Time Max Heart Rate Min Heart Rate Average Heart Rate
2:55 PM 86 85 85.3
2:57 PM 88 65 70.0
2:58 PM 134 132 133.3
2:59 PM 77 64 67.6
3:00 PM 81 62 69.0
3:03 PM 78 78 78.0
3:04 PM 77 77 77.0
3:05 PM 73 73 73.0
3:12 PM 81 81 81.0
3:15 PM 79 79 79.0
3:24 PM 74 74 74.0
3:32 PM 75 75 75.0
3:36 PM 58 58 58.0
3:44 PM 68 68 68.0
3:45 PM 78 74 76.0
3:47 PM 90 90 90.0
3:50 PM 74 74 74.0
3:53 PM 97 83 87.7
3:55 PM 83 76 79.5
3:56 PM 85 81 82.3
4:02 PM 105 69 86.0
4:03 PM 153 83 108.6
4:04 PM 87 77 80.9
4:07 PM 107 53 69.1
4:08 PM 90 81 85.0
4:09 PM 76 62 72.0
4:10 PM 96 88 92.0
4:11 PM 78 71 74.4
4:12 PM 87 64 78.8
4:13 PM 87 74 80.8
4:14 PM 122 53 81.3
4:15 PM 122 122 122.0
4:16 PM 169 104 132.8
4:19 PM 51 50 50.5
4:29 PM 74 55 64.8
4:31 PM 86 83 84.5
4:32 PM 87 78 83.2
4:33 PM 83 81 82.0
4:34 PM 76 74 75.0
4:36 PM 74 69 72.0
4:37 PM 77 69 73.0
4:40 PM 83 81 82.1
4:44 PM 81 76 77.7
4:47 PM 81 63 69.3
4:50 PM 102 87 98.8
4:52 PM 78 78 78.0
4:56 PM 89 89 89.0

Week 11 NFL DFS Player Rankings (Thu-Mon)

Click here for Week 11 NFL DFS Fantasy Football Player Rankings (.xlsx)

Get ready for the Week 11 slate of NFL Games!  Player Projections are listed below.  Choose wisely and try to get some wins this week!  Connect with me on Twitter as @MSilbAnalytics to talk strategy for the week.  COLOR RUSH soon to kickoff!

Check you Over/Under lines for high scoring games, and keep up to date on injury news!

QB

11qb

RB

11rb

WR

11wr

TE

11te

Week 10 NFL Intriguing Fantasy Football Plays

Click here for Week 10 Fantasy Football Rankings

Week 10 of NFL Sunday is almost upon us!  Take a look at the link above to see position-by-position breakdown for projected values across FanDuel and DraftKings as well as a pure Season-Long projection for the week.  We have all of the bases covered.  Here’s some names to make you go “hmm” when thinking about your lineups for the week.  We’re not listing the obvious stars, there’s nothing interesting about saying that Tom Brady and Matt Ryan might have good days.  As always, DO YOUR INJURY RESEARCH!  We can’t project a spot-start, so those are complete leaps of faith.

Name – Matchup – (FD $/ DK $)

QB

Eli Manning – NYG v CIN – (7600/5900)
Kirk Cousins –  WAS v MIN – (7100/5400)
Ben Roethlisberger – PIT v DAL – (7700/6800)
Philip Rivers – SD v MIA – (8100/6700)
Carson Palmer – ARI v SF – (7900/6500)

RB

Jordan Howard – CHI v TB – (6900/6000)
Lamar Miller – HOU v JAX – (7500/6400)
Mark Ingram – NO v DEN – (6300/5400)
Jeremy Hill – CIN v NYG – (6100/4400)
Devonta Freeman – ATL v PHI – (7000/6800)

WR

Eddie Royal – CHI v TB – (5100/3700)
Jordan Matthews – PHI v ATL – (5900/5900)
Kenny Britt – LA v NYJ – (6400/4900)
Cole Beasley – DAL v PIT – (6500/5400)

TE

Zach Miller – CHI v TB – (5400/3600)
Lance Kendricks – LA v NYJ – (4500/3000)
Coby Fleener – NO v DEN – (5600/3300)

Week 10 NFL DFS Player Rankings! (Thu-Mon)

Week 10 NFL DFS Projections (Click Here to Download .xlsx)

     Week 10 is upon us and we have COLOR RUSH Thursday Night Football, so anything can happen.  I haven’t even had time to look over the results for this week, I need to rush to get my lineups in before Thursday Night Football kicks off at 8:25pm.  Expect a complete breakdown for the Sunday – Monday games sometime over the next few days!  Best of luck, go get that W!  Connect with me on Twitter @MSilbAnalytics.

QB
10qb

RB

10rb

WR

10wr

TE

10te

MSilbThirtyEight: Defending Poll Data and FiveThirtyEight

A Polarized America | Restoring Faith in Data | More Information

A Polarized America

The 2016 Election Cycle was many things.  On November 9, 2016, my one word to describe our current state is polarized.  Many Americans, including myself, went to bed on Tuesday Night absolutely shocked, no matter which side they identified with.  Upon waking up you could have been excited or fearful, confident or confused, faithful or faithless.  The general sentiment from my #Millennial social media follows and friends included themes of alienation and disappointment in the other side.  We’ve all likely gotten the common interview question “Tell me about a time when you’ve had to work with a difficult person, or with someone who you don’t get along with.  Walk me through how you came to a solution.”  After the sigh and anguish, we answer the question, and ideally give a happily ever after story.  As understandably hard as it is for many, four years from now I’d like for our country to have an answer to this question.

Side note: Can we please phase out the negativity around the word millennial?  We’re growing up in the information age, and those screens we all stare at is our medium for connecting with people, learning from people, and expanding our world view so we can have an open mind.

Restoring Faith In Data

Data and analytics were hot topics as election results started to come in Tuesday night.  Projections of the deterministic results of battleground states were largely incorrect.  Blue states flipped red, toss ups flipped red, and we had an upset on our hands.  We went in knowing that polls typically have about 3% error which feeds into the probabilistic models.  So what went wrong?  Are the models the problem?  Is polling systematically incorrect?  Was there a quiet *Insert Candidate Here* vote?  Was there even anything wrong at all?

Remember the craziness that was the 2000 election?  The 2016 election was poised to be even crazier with 12.5% undecided or third party voters.  Increased variability in the electorate leads to increased uncertainty leads to wider ranges in error.  In 2000 Gore won the popular vote even though Bush was favored by 3.2% (HUGE) in national polling.  The 9.6% Undecided/Other voters likely played a large role, and we saw that again on election night in 2016.

Probabilistic models (showing the probability of certain events/results) like FiveThirtyEight’s showed that both Hillary Clinton and Donald Trump had potential paths to the White House.  Some more likely than others.  This admission gets lost in election model reporting, and public opinion and reactions. It’s driving me absolutely insane.  Make all of the annoying xyz “blew a 3-1 lead” jokes you want, but in a year where we saw improbable comebacks in both the NBA Championship (Cavaliers) and MLB World Series (Cubs), we have to understand that these things happen.  Numbers Time: Probabilities greater than 50% DO NOT mean that something will definitely happen, and probabilities below 50% DO NOT mean that something will definitely not happen.

Heading into Election Night, Democratic Nominee Hillary Clinton had a greater probability of winning than Republican Nominee Donald Trump.  According to FiveThirtyEight (Polls Only), Clinton had a 71.4% chance of victory compared to Trump’s 28.6%.  Yeah that’s about a 3:1 ratio, we get it.

Things that have a lower probability of occurrence than Trump’s 28.6% chance of winning:

  • Flipping two heads or tails in a row (25%)
  • Rolling any number on a dice (16.67%)
  • Walking up to a random registered voter in 2016 who is undecided/other (12.5%)
  • Coming back from a 3-1 deficit to win a 7 game series (12.5%*) – Sounds Familiar
    *assuming independent 50/50 odds of winning each game

The “quiet vote” is reflected in polling.  The effect of an unconventional and controversial set of candidates is reflected in polling.  The election itself is the last poll.  Donald Trump had a limited and fairly unlikely path to 270+ electoral votes.  But he still had a significant chance, and that chance was realized.  The FiveThirtyEight model isn’t broken, polling isn’t broken (however there is a lot to learn from this election), and analytics is not broken.  Carry on making analytical decisions, believing in the data, and trusting the process.

Here’s some more information to mull over from FiveThirtyEight’s Editor-In-Chief

(He likely means 2016 not 2014)

The national popular vote looks like it will be right on the projection after all.  So food for thought:  Is there a better way than our current system to decide a national election?  Connect with me on Twitter at @MSilbAnalytics .

FiveThirtyEight 2016 Projection: http://projects.fivethirtyeight.com/2016-election-forecast/

FiveThirtyEight Model explanation: http://fivethirtyeight.com/features/a-users-guide-to-fivethirtyeights-2016-general-election-forecast/

FiveThirtyEight Elections Podcast (loyal subscriber here): http://fivethirtyeight.com/tag/elections-podcast/

Week 9 NFL DFS and Waiver Intriguing Plays (Sun-Mon)

* See Week 9 NFL Daily Fantasy Sports Projections for a complete breakdown *

     Happy NFL Sunday!  Daylight Savings means we have an extra hour to over-analyze, tinker, and obsess over our lineups for the week.  I’ll highlight a few intriguing plays for the week for DFS as well as some quick pickups for your season long leagues to cover for bye weeks.  For intriguing DFS plays I’m looking for low salary guys that have the potential to put in a solid top-10 performance and potentially even break out.  For Season-Long pickups, I’m looking towards the average group who has a solid matchup this week or are playing as injury replacements.  Hopefully players I’m putting down have a chance at being available in your season-long leagues.  I’m going off of my college friends and work leagues.  Remember to connect with me on Twitter at @MSilbAnalytics to continue to analysis conversation.  Here we go week 9!

DFS

Name – Team v Opp – ($ FD/$ DK)

QB:
Drew Brees – NO v SF (8600/7200)
Sam Bradford – MIN v DET (7400/5000)
Ben Roethlisberger – PIT v BAL (7500/6600)
Dak Prescott – DAL v CLE (7600/6100)
Josh McCown – CLE v DAL (7100/5400)

RB:
DeMarco Murray – TEN v SD (8100/7600)
Ezekiel Elliot – DAL v CLE (9200/7900)
Le’Veon Bell – PIT v BAL (8700/7700)
Jay Ajayi – MIA v NYJ (7100/6000)
Terrance West – BAL v PIT (6400/4700)
Isaiah Crowell – CLE v DAL (6000/3900)
Charcandrick West – KC v JAC (5600/4400)

WR:
Corey Coleman – CLE v DAL (5600/4500)
Kenny Britt – LA v NO (6000/4400)
Tavon Austin – LA v NO (5600/4200)
Antonio Brown – PIT v BAL (8700/8900)
Emmanuel Sanders – DEN v OAK (6800/6300)
Michael Thomas – NO v SF (5800/5500)
Jeremy Kerley – SF v NO (5300/4000)

TE:
Kyle Rudolph – MIN v DET (5000/4000)
Dennis Pitta – BAL v PIT (5200/3800)
Eric Ebron – DET v MIN (5400/3100)
Lance Kendricks – LA v SF (4500/2900)

Season-Long

Name – Team v Opp – Score+ (Not Matchup Adj.)

QB:
Sam Bradford – MIN v DET – 61.75
Josh McCown – CLE v DAL – 65.67

RB:
Darren Sproles – PHI v NYG – 49.46
Charcandrick West KC v JAC – -10.54

WR:
Corey Coleman – CLE v DAL – 173.39
Kenny Britt – LA v CAR – 121.00
Jeremy Kerley – SF v NO – 96.63

TE:
Dennis Pitta – BAL v PIT – 159.73
Lance Kendricks – LA v SF – 69.95
Jack Doyle – IND v GB – 73.32

UPDATE: Week 9 NFL Daily Fantasy Sports Projections (Now Accurately Reflecting Matchups)

UPDATE (11/6/16 – 10:35AM): NFL Week 9 DFS Rankings now accurately reflect matchups.  Go take a look at the link below and win your games this week!  Connect on Twitter @MSilbAnalytics

*Week 9 NFL Daily Fantasy Sports Projections*

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