Fanalytics with Mike Lewis Podcast Mike Lewis, Emory University Marketing Professor

Today we continue discussing where the NFL is going in 2022 with a data-driven look at the AFC South. Our NFL projections are based on a forecast of team performance and a subjective assessment of each team’s quarterback’s storylines.

The team win forecast is primarily driven by a new advanced QB metric called QB Wins. The QB Wins metric is something that Mike has been working on for a decent amount of time. The QB Wins metric is computed using a wide range of raw data (TD passes, interceptions, yards, etc.), expert statistics (passer rating, QBR), and non-QB data (defense stats, rushing, etc.). The algorithm leverages the correlations and differences between these data sources to separate out QB, running game, and defensive performance. A second statistical analysis estimates the relationship between quarterback performance factors (and defensive and rushing factors) and team performance (wins). The result is a QB metric that identifies how much a player contributes to his team's record in a given year.

In this podcast, Mike forecasts each AFC South team’s 2022 record using the QB Wins metric - with particular attention paid to changes in the QB position.

Today we continue discussing where the NFL is going in 2022 with a look at the AFC North. Our NFL projections are based on a forecast of team performance and a subjective assessment of each team’s quarterback’s storylines.

The team win forecast is primarily driven by a new advanced QB metric called QB Wins. The QB Wins metric is something that Mike has been working on for a decent amount of time. The QB Wins metric is computed using a wide range of raw data (TD passes, interceptions, yards, etc.), expert statistics (passer rating, QBR), and non-QB data (defense stats, rushing, etc.). The algorithm leverages the correlations and differences between these data sources to separate out QB, running game, and defensive performance. A second statistical analysis estimates the relationship between quarterback performance factors (and defensive and rushing factors) and team performance (wins). The result is a QB metric that identifies how much a player contributes to his team's record in a given year.

In this podcast, Mike forecasts each AFC North team’s 2022 record using the QB Wins metric - with particular attention paid to changes in the QB position.

Part 1 of our NFL preview, the NFL brands and fanbases analysis, looked at which teams have the best fanbases. Today we begin discussing where the NFL is going in 2022. Our NFL projections are based on a forecast of team performance and a subjective assessment of each team’s quarterback’s storylines.

The team win forecast is primarily driven by a new advanced QB metric called QB Wins. The QB Wins metric is something that Mike has been working on for a decent amount of time. The QB Wins metric is computed using a wide range of raw data (TD passes, interceptions, yards, etc.), expert statistics (passer rating, QBR), and non-QB data (defense stats, rushing, etc.). The algorithm leverages the correlations and differences between these data sources to separate out QB, running game, and defensive performance. A second statistical analysis estimates the relationship between quarterback performance factors (and defensive and rushing factors) and team performance (wins). The result is a QB metric that identifies how much a player contributes to his team's record in a given year.

In this podcast, Mike forecasts each AFC East team’s 2022 record using the QB Wins metric - with particular attention paid to changes in the QB position.

After a few weeks of discussion involving Mike's NFL Fandom Rankings, Mike and his co-host Doug Battle discuss the latest stories in sports and entertainment - from the NBA Playoffs to Disney's new Obi-Wan Kenobi Show.

The common thread that ties this episode together is the segmentation of audiences across sports and entertainment.

Knowing where the passion lies and will lie in the future is essential for every sports league.

In the third and final installment of our NFL Fandom Rankings discussion, Emory Marketing Professor Mike Lewis leverages statistical models based in economic and marketing theory to rank the top quarter of NFL fanbases.

Check out the full rankings at fandomanalytics.com.

Knowing where the passion lies and will lie in the future is essential for every sports league.

In part two of our NFL Fandom Rankings discussion, Emory Marketing Professor Mike Lewis leverages statistical models based in economic and marketing theory to rank the NFL's fanbases. He also responds to fan feedback from part one of the annual rankings.

Check out the full rankings at fandomanalytics.com.