The Impact of Quarterback Performance Metrics on NFL Broadcast Viewership: A Decade-Long Correlation and Regression Analysis (20152024) Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.54254/2754-1169/2025.cau28264
This study explores the relationship between National Football League (NFL) quarterbacks' performance metrics and television viewership trends from 2015 to 2024. Using data from Pro-Football-Reference for quarterback statistics and from Statista, the Ministry of Sports, and The Memo for viewership figures, we analyze variables including passing attempts, completions, touchdowns, interceptions, yards per game, net yards per attempt, and fourth-quarter comebacks. Through descriptive statistics, box plots, and correlation analysis, results reveal weak negative correlations between most quarterback performance indicators and average game viewership, suggesting that higher passing volume or efficiency does not necessarily lead to higher ratings. Conversely, fourth-quarter comebacks exhibit a modest positive correlation, underscoring the role of dramatic game elements in boosting viewer engagement. We also qualitatively analyze non-competitive factorssuch as game interruptions, score uncertainty, and celebrity involvementas complementary influences. These findings provide strategic recommendations for NFL stakeholders to enhance event appeal and commercial value.
Related Topics
- Type
- article
- Landing Page
- https://doi.org/10.54254/2754-1169/2025.cau28264
- OA Status
- hybrid
- OpenAlex ID
- https://openalex.org/W4415454869
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4415454869Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.54254/2754-1169/2025.cau28264Digital Object Identifier
- Title
-
The Impact of Quarterback Performance Metrics on NFL Broadcast Viewership: A Decade-Long Correlation and Regression Analysis (20152024)Work title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-10-22Full publication date if available
- Authors
-
Ying Lü, Xianyi ZengList of authors in order
- Landing page
-
https://doi.org/10.54254/2754-1169/2025.cau28264Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.54254/2754-1169/2025.cau28264Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W4415454869 |
|---|---|
| doi | https://doi.org/10.54254/2754-1169/2025.cau28264 |
| ids.doi | https://doi.org/10.54254/2754-1169/2025.cau28264 |
| ids.openalex | https://openalex.org/W4415454869 |
| fwci | 0.0 |
| type | article |
| title | The Impact of Quarterback Performance Metrics on NFL Broadcast Viewership: A Decade-Long Correlation and Regression Analysis (20152024) |
| biblio.issue | 1 |
| biblio.volume | 231 |
| biblio.last_page | 38 |
| biblio.first_page | 27 |
| topics[0].id | https://openalex.org/T11674 |
| topics[0].field.id | https://openalex.org/fields/20 |
| topics[0].field.display_name | Economics, Econometrics and Finance |
| topics[0].score | 0.989300012588501 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2002 |
| topics[0].subfield.display_name | Economics and Econometrics |
| topics[0].display_name | Sports Analytics and Performance |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| language | |
| locations[0].id | doi:10.54254/2754-1169/2025.cau28264 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4387278942 |
| locations[0].source.issn | 2754-1169, 2754-1177 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2754-1169 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Advances in Economics Management and Political Sciences |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].source.host_organization_lineage | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Advances in Economics, Management and Political Sciences |
| locations[0].landing_page_url | https://doi.org/10.54254/2754-1169/2025.cau28264 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5057666375 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-7698-8962 |
| authorships[0].author.display_name | Ying Lü |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I3132008252 |
| authorships[0].affiliations[0].raw_affiliation_string | Chengdu Foreign Language School |
| authorships[0].institutions[0].id | https://openalex.org/I3132008252 |
| authorships[0].institutions[0].ror | https://ror.org/03wvwbe92 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I3132008252 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Nanjing Foreign Language School |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yuanmeng Lu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Chengdu Foreign Language School |
| authorships[1].author.id | https://openalex.org/A5100656788 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-3236-6766 |
| authorships[1].author.display_name | Xianyi Zeng |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210090512 |
| authorships[1].affiliations[0].raw_affiliation_string | Guangdong Experimental High School |
| authorships[1].institutions[0].id | https://openalex.org/I4210090512 |
| authorships[1].institutions[0].ror | https://ror.org/00f2c2516 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I107851509, https://openalex.org/I4210090512, https://openalex.org/I4210127390, https://openalex.org/I4210151987 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Guangzhou Experimental Station |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Xianyi Zeng |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Guangdong Experimental High School |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.54254/2754-1169/2025.cau28264 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-24T00:00:00 |
| display_name | The Impact of Quarterback Performance Metrics on NFL Broadcast Viewership: A Decade-Long Correlation and Regression Analysis (20152024) |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11674 |
| primary_topic.field.id | https://openalex.org/fields/20 |
| primary_topic.field.display_name | Economics, Econometrics and Finance |
| primary_topic.score | 0.989300012588501 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2002 |
| primary_topic.subfield.display_name | Economics and Econometrics |
| primary_topic.display_name | Sports Analytics and Performance |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.54254/2754-1169/2025.cau28264 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4387278942 |
| best_oa_location.source.issn | 2754-1169, 2754-1177 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 2754-1169 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Advances in Economics Management and Political Sciences |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.source.host_organization_lineage | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Advances in Economics, Management and Political Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.54254/2754-1169/2025.cau28264 |
| primary_location.id | doi:10.54254/2754-1169/2025.cau28264 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4387278942 |
| primary_location.source.issn | 2754-1169, 2754-1177 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2754-1169 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Advances in Economics Management and Political Sciences |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.source.host_organization_lineage | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Advances in Economics, Management and Political Sciences |
| primary_location.landing_page_url | https://doi.org/10.54254/2754-1169/2025.cau28264 |
| publication_date | 2025-10-22 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 100 |
| abstract_inverted_index.We | 115 |
| abstract_inverted_index.as | 121 |
| abstract_inverted_index.in | 111 |
| abstract_inverted_index.of | 33, 107 |
| abstract_inverted_index.or | 87 |
| abstract_inverted_index.to | 19, 93, 139 |
| abstract_inverted_index.we | 41 |
| abstract_inverted_index.NFL | 137 |
| abstract_inverted_index.The | 36 |
| abstract_inverted_index.and | 13, 28, 35, 57, 65, 78, 126, 143 |
| abstract_inverted_index.box | 63 |
| abstract_inverted_index.for | 25, 38, 136 |
| abstract_inverted_index.net | 53 |
| abstract_inverted_index.not | 90 |
| abstract_inverted_index.per | 51, 55 |
| abstract_inverted_index.the | 3, 31, 105 |
| abstract_inverted_index.2015 | 18 |
| abstract_inverted_index.Memo | 37 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.also | 116 |
| abstract_inverted_index.data | 22 |
| abstract_inverted_index.does | 89 |
| abstract_inverted_index.from | 17, 23, 29 |
| abstract_inverted_index.game | 80, 109, 122 |
| abstract_inverted_index.lead | 92 |
| abstract_inverted_index.most | 74 |
| abstract_inverted_index.role | 106 |
| abstract_inverted_index.that | 83 |
| abstract_inverted_index.weak | 70 |
| abstract_inverted_index.(NFL) | 9 |
| abstract_inverted_index.2024. | 20 |
| abstract_inverted_index.These | 131 |
| abstract_inverted_index.Using | 21 |
| abstract_inverted_index.event | 141 |
| abstract_inverted_index.game, | 52 |
| abstract_inverted_index.score | 124 |
| abstract_inverted_index.study | 1 |
| abstract_inverted_index.yards | 50, 54 |
| abstract_inverted_index.League | 8 |
| abstract_inverted_index.appeal | 142 |
| abstract_inverted_index.higher | 84, 94 |
| abstract_inverted_index.modest | 101 |
| abstract_inverted_index.plots, | 64 |
| abstract_inverted_index.reveal | 69 |
| abstract_inverted_index.trends | 16 |
| abstract_inverted_index.value. | 145 |
| abstract_inverted_index.viewer | 113 |
| abstract_inverted_index.volume | 86 |
| abstract_inverted_index.Sports, | 34 |
| abstract_inverted_index.Through | 60 |
| abstract_inverted_index.analyze | 42, 118 |
| abstract_inverted_index.average | 79 |
| abstract_inverted_index.between | 5, 73 |
| abstract_inverted_index.enhance | 140 |
| abstract_inverted_index.exhibit | 99 |
| abstract_inverted_index.metrics | 12 |
| abstract_inverted_index.passing | 45, 85 |
| abstract_inverted_index.provide | 133 |
| abstract_inverted_index.results | 68 |
| abstract_inverted_index.Football | 7 |
| abstract_inverted_index.Ministry | 32 |
| abstract_inverted_index.National | 6 |
| abstract_inverted_index.attempt, | 56 |
| abstract_inverted_index.boosting | 112 |
| abstract_inverted_index.dramatic | 108 |
| abstract_inverted_index.elements | 110 |
| abstract_inverted_index.explores | 2 |
| abstract_inverted_index.figures, | 40 |
| abstract_inverted_index.findings | 132 |
| abstract_inverted_index.negative | 71 |
| abstract_inverted_index.positive | 102 |
| abstract_inverted_index.ratings. | 95 |
| abstract_inverted_index.Statista, | 30 |
| abstract_inverted_index.analysis, | 67 |
| abstract_inverted_index.attempts, | 46 |
| abstract_inverted_index.celebrity | 127 |
| abstract_inverted_index.comebacks | 98 |
| abstract_inverted_index.including | 44 |
| abstract_inverted_index.strategic | 134 |
| abstract_inverted_index.variables | 43 |
| abstract_inverted_index.comebacks. | 59 |
| abstract_inverted_index.commercial | 144 |
| abstract_inverted_index.efficiency | 88 |
| abstract_inverted_index.indicators | 77 |
| abstract_inverted_index.statistics | 27 |
| abstract_inverted_index.suggesting | 82 |
| abstract_inverted_index.television | 14 |
| abstract_inverted_index.viewership | 15, 39 |
| abstract_inverted_index.Conversely, | 96 |
| abstract_inverted_index.correlation | 66 |
| abstract_inverted_index.descriptive | 61 |
| abstract_inverted_index.engagement. | 114 |
| abstract_inverted_index.factorssuch | 120 |
| abstract_inverted_index.influences. | 130 |
| abstract_inverted_index.necessarily | 91 |
| abstract_inverted_index.performance | 11, 76 |
| abstract_inverted_index.quarterback | 26, 75 |
| abstract_inverted_index.statistics, | 62 |
| abstract_inverted_index.touchdowns, | 48 |
| abstract_inverted_index.viewership, | 81 |
| abstract_inverted_index.completions, | 47 |
| abstract_inverted_index.correlation, | 103 |
| abstract_inverted_index.correlations | 72 |
| abstract_inverted_index.relationship | 4 |
| abstract_inverted_index.stakeholders | 138 |
| abstract_inverted_index.uncertainty, | 125 |
| abstract_inverted_index.underscoring | 104 |
| abstract_inverted_index.complementary | 129 |
| abstract_inverted_index.involvementas | 128 |
| abstract_inverted_index.qualitatively | 117 |
| abstract_inverted_index.quarterbacks' | 10 |
| abstract_inverted_index.fourth-quarter | 58, 97 |
| abstract_inverted_index.interceptions, | 49 |
| abstract_inverted_index.interruptions, | 123 |
| abstract_inverted_index.non-competitive | 119 |
| abstract_inverted_index.recommendations | 135 |
| abstract_inverted_index.Pro-Football-Reference | 24 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.51566429 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |