Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

Social Media’s NFL Week 1 Picks

I am not sure about you, but today feels a lot like Christmas morning to me. Instead of a whole bunch of presents that say that they are from Santa, the NFL has given us a juicy season opener between the New Orleans Saints and the defending Super Bowl Champion Green Bay Packers.
NFL @ Wembley Oct 2010
Like many football fans, I enter pools to pick the winners of each game. For this season, I decided to go against my gut and rely on the wisdom of the social web. Using Lithium’s Social Media Monitoring tool (disclosure: Lithium gave me a research version of their tool to use for research on my blog) I pulled the weekly buzz for each of the league’s 32 teams on Twitter, Facebook, blogs and forms; and plotted them into a series of formulas (conversation share, net promoter score, Social Influence Marketing (SIM) Score, positive and negative conversation shares). All sentiment was assigned by Lithium’s text analytics within their tool. The scores of these formulas were tied to point totals:

  • NPS ([Positive Mentions + Neutral Mentions] – Negative Mentions/Weekly Team Mentions ) – 6 Points
  • SIM (NPS*Conversation Share*1,000) – 2 Points
  • Conversation Share (Total Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Positive Conversation Share (Positive Team Mentions/Mentions for Weekly Matchup) – 7 Points
  • Negative Conversation Share (Negative Team Mentions/Mentions for Weekly Matchup) – 6 Points

*In the case of a tie, the winner is decided by the team with the larger difference between positive and negative mentions.

Before I get into the results for this week, I would like to invite you to test your picks against the formula that I listed above in my ESPN group. The person who finishes the season with the best record will get a $25 Amazon gift card from me.

So without further adieu here are my picks for Week 1 of the NFL season:

New Orleans – 0

Green Bay – 16  

—-

Atlanta – 0

Chicago – 16

—-

Buffalo – 15

Kansas City – 1

—-

Cincinnati – 0

Cleveland – 16

Detroit – 22

Tampa Bay – -6

—-

Tennessee – 22

Jacksonville – 0

—-

Indianapolis – 3

Houston – 13

—-

Philadelphia – 10

St. Louis – 6

—-

Pittsburgh – 10

Baltimore – 6

—-

Minnesota – 10

San Diego – 6

—-

New York Giants – 7

Washington – 9

—-

Carolina – 6

Arizona – 10

—-

Seattle – 1

San Francisco – 15

—-

Dallas – 8

New York Jets – 8* (Tie Breaker)

—-

New England – 6

Miami – 10

—-

Oakland – 16

Denver – 0

I know that this method of selecting games is untraditional, but hey it sure beats the pants off picking winners by uniform color or quarterback with nicer hair. I’d love to hear what you think about the methodology and your method of picking as well.

Image – beefy_n1

17 Responses to Social Media’s NFL Week 1 Picks
  1. DevinMathias
    September 11, 2011 | 10:56 am

    Very cool experiment – do you like the research tool?

  2. jeffespo
    September 11, 2011 | 7:02 pm

    @DevinMathias Thanks, I do love the tool, more than happy answer questions you’d like

  3. NFL Week 2 Picks via Social Media
    September 15, 2011 | 6:35 am

    […] use Lithium’s Social Media Monitoring tool to use social buzz to create my picks for the season (click here for a full methodology). In week one, this method I finished up Week 1 with an 11-5 record, not too […]

  4. Week 3 NFL Picks from Social Media
    September 22, 2011 | 6:20 am

    […] Entering the third week of the NFL season, my experiment in using social media to select the winners of each game has been interesting. In the opening week, the results were pretty spot on, while week two was split down the middle. If you are new to the blog or seeing how I am picking the winners for the first time, be sure to check out my NFL picks formula. […]

  5. NFL Week 4 Picks via Social Media
    September 29, 2011 | 6:21 am

    […] out like all of you on Sunday. What I can do is offer my picks for the weekend’s games using social media buzz.  Last week the formulas led me to an 8-8 record, and on the season, I am […]

  6. NFL Week Six Picks via Social Media
    October 13, 2011 | 8:40 am

    […] Social Media Monitoring tool. If you are new to the picks, be sure to check out this post where the social media NFL picks process is outlined. Entering the sixth week of the season, I can say that I am happy to see that after a […]

  7. Week 9 NFL picks from social media
    November 3, 2011 | 7:25 am

    […] my weekly selections with social media buzz metrics using Lithium’s social media monitoring tool (full metrics here). Despite an abysmal 5-8 Week 8 showing, I am sitting at 59-58 on the season sticking strictly to […]

  8. Week 10 NFL Picks via Social Media
    November 10, 2011 | 7:41 am

    […] on your teams, I’ve also been picking the winners of each game to some success using a series of social media generated formulas from fans Tweeting, blogging and Facebook chatting up their teams. While I would like to say that […]

  9. […] four teams owning a 7-3 mark. So it is still anyone’s game. With that said, my weekly picks using social media buzz metrics via Lithium’s Social media monitoring tool have not fared as well. Through 11 weeks, I am sitting […]

  10. […] picking methods, I decided to pick each week’s winners using a number of social media metrics (formulas here) to pick each week’s winners. Sound crazy? Well to me it’s just as likely to pick a winner as […]

  11. Week 15 NFL Picks
    December 15, 2011 | 3:46 am

    […] that I utilize for work, I applied it to the NFL teams and each metric had an assigned point value (click here for full description). Each week I pick the winners using these scores and through the season’s […]

  12. […] from Lithium’s Social Media Monitoring and a series of formulas assigned specific point totals (click here to learn more). Heading into last weekend I was looking pretty good, but after an abysmal 4-12 […]

  13. […] me because I use social media buzz to determine the winners. Sure using a bunch of formulas (click here for full description) based on chatter from everyone and their mother spouting off on the Web, I […]

  14. […] social media metrics gathered using Lithium Social Media Monitoring and a series of formulas (click here for full formulas). While it might sound like bunk, figured it would be an interesting experiment […]

  15. […] Media Monitoring tool and are weighted on a number of points that can be scored in an NFL game (click here for a full description). While it might sound foolish, I figure it as just as good as those folks […]

  16. […] Lithium Social Media Monitoring and plugged into a series of formula (more here) with assigned points. While it may seem odd, the season saw these formulas produce a 132-123 mark […]

  17. […] were run with social data pulled from Lithium’s Social Media Monitoring. The series of formulas (click here for a full breakdown) look at conversation share, NPS, positive/negative conversation share and SIM […]

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