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2019 FanDuel Football Sortable Stats
Based on games through 2019 NFL Week #2

Table definitions appear at the bottom of this page.
Position
Sort Order
Game
Price change
Point period
[Col. B] Pts/G period
Players with 0 games: Exclude       Include Exclude players priced above $
Output format: Standard (html)         SCSV (semicolon separated values)
Font size: smallest     smaller     medium     larger     largest
                                                                                      [col B]
Sep 19 Last |--- Year-To-Date ---| Last
Week #3 Price Price Total FDP FDP/G Week Bye
Pos Name Links Team/Opp ($000) Change FDP G /G /$m FDP/G Week 1 D New England NE/nyj 5,000 100 47.00 2 23.50 4.70 37.00 10 2 D San Francisco SFO/pit 3,700 0 34.00 2 17.00 4.59 7.00 4 3 D Tennessee ten/JAC 4,600 0 31.00 2 15.50 3.37 8.00 11 4 D Green Bay GB/den 4,500 600 26.00 2 13.00 2.89 12.00 11 5 D New York J nyj/NE 3,000 -800 23.00 2 11.50 3.83 5.00 4 6 D Minnesota MIN/oak 4,200 200 22.00 2 11.00 2.62 6.00 12 7 D Tampa Bay TAM/nyg 4,300 800 21.00 2 10.50 2.44 9.00 7 8 D Baltimore bal/KAN 3,400 -1,600 17.00 2 8.50 2.50 4.00 8 9 D LA Rams lar/CLE 3,600 0 17.00 2 8.50 2.36 8.00 9 10 D Buffalo BUF/cin 4,600 0 16.00 2 8.00 1.74 6.00 6 11 D Detroit det/PHI 3,500 -500 16.00 2 8.00 2.29 9.00 5 12 D Kansas City KAN/bal 3,500 -900 16.00 2 8.00 2.29 11.00 12 13 D Seattle SEA/no 3,400 -300 15.00 2 7.50 2.21 3.00 11 14 D Chicago chi/WAS 4,700 200 14.00 2 7.00 1.49 5.00 6 15 D Cleveland CLE/lar 3,900 0 13.00 2 6.50 1.67 13.00 7 16 D Indianapolis IND/atl 3,600 0 12.00 2 6.00 1.67 5.00 6 17 D New Orleans no/SEA 3,800 0 12.00 2 6.00 1.58 5.00 9 18 D Houston hou/LAC 4,400 -400 12.00 2 6.00 1.36 10.00 10 19 D Atlanta atl/IND 3,800 500 10.00 2 5.00 1.32 10.00 9 20 D Carolina car/ARI 3,700 200 10.00 2 5.00 1.35 6.00 7 21 D LA Chargers LAC/hou 3,800 -200 10.00 2 5.00 1.32 8.00 12 22 D Arizona ARI/car 3,200 200 9.00 2 4.50 1.41 2.00 12 23 D Philadelphia PHI/det 4,500 400 8.00 2 4.00 .89 7.00 10 24 D Dallas DAL/mia 5,000 300 7.00 2 3.50 .70 1.00 8 25 D Oakland oak/MIN 3,300 800 7.00 2 3.50 1.06 3.00 6 Sep 19 Last |--- Year-To-Date ---| Last
Week #3 Price Price Total FDP FDP/G Week Bye
Pos Name Links Team/Opp ($000) Change FDP G /G /$m FDP/G Week 26 D Pittsburgh pit/SFO 3,500 0 7.00 2 3.50 1.00 7.00 7 27 D Cincinnati cin/BUF 3,400 -500 4.00 2 2.00 .59 -2.00 9 28 D Jacksonville JAC/ten 4,700 900 4.00 2 2.00 .43 8.00 10 29 D Washington WAS/chi 3,400 0 2.00 2 1.00 .29 2.00 10 30 D Denver den/GB 3,800 -700 1.00 2 0.50 .13 1.00 10 31 D Miami mia/DAL 2,000 -500 0.00 2 0.00 .00 3.00 5 32 D New York G nyg/TAM 3,700 200 -2.00 2 -1.00 -.27 2.00 11

Position
Sort Order
Game
Price change
Point period
[Col. B] Pts/G period
Players with 0 games: Exclude       Include Exclude players priced above $
Output format: Standard (html)         SCSV (semicolon separated values)
Font size: smallest     smaller     medium     larger     largest

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Definitions

Each player's name is linked to his individual stats page, which includes a table of game-by-game points. During the preseason, this will show the prior season detail, using the point formula that existed during that season.

  • Individual player links are provided to the associated information page at sportingnews.com [S], NFL.com [N], RotoWorld.com [D], and RotoWire.com [W]. Please report any incorrect and/or additional links you may discover.
  • Team affiliations are based upon information from the game sites, and must be manually updated for player movements. Please report any suspected errors in team affiliations.
  • The next opponent is listed along with the team affiliation. The HOME TEAM is denoted by capital letters, and the visiting team is denoted by lower case letters.
  • FDP stands for "FanDuel Points". Ratios express points per game, and points per game per $10 thousand.
  • G stands for "games played".
  • Bye week refers to the week of the season that the player's team has a bye.
  • A red price indicates a low price for the year, while a green price denotes a high price for the year.


    This report is based upon data which the Guru believes to be reliable, but for which no assurances of accuracy can be made. Users who discover suspected errors are requested to report them to the Guru via email.