Super Bowl Game Results

Super Bowl game results: Winning teams, scores, and viewer data

By Throwback Thursday [source]

About this dataset

How to use the dataset

• Winning and Losing Teams: The dataset includes columns for both the winning team and the losing team. You can analyze trends or patterns in team performance over time by comparing their records in different Super Bowl games.

• Scores: The final score of each Super Bowl game is provided in two separate columns: Winning Team Points and Losing Team Points. You can explore which games had high-scoring or low-scoring outcomes, and identify any interesting patterns or outliers.

• Conferences: The dataset includes information about the conferences to which both the winning and losing teams belong. You can analyze the success rates of teams from different conferences or compare their performances in specific seasons.

• Venue and City: You can find information about where each Super Bowl game was played by referring to the Venue and City columns. This allows you to explore geographical aspects of the games' locations.

• Attendance: The number of people in attendance at each Super Bowl game is provided under the column Attendance. This data point allows you to understand how popular a particular game was among fans.

• Networks: Television networks that broadcasted each Super Bowl game are included in this dataset under Network. Analyzing network preferences for airing these games may reveal interesting insights into TV viewership habits over time.

• Average U.S.Viewers,Rating,and Share: Columns like Average U.S.Viewers provide valuable information regarding viewership trends across different years while Rating provides insight into audience interest as measured by ratings.Advertisers may be interested in exploring instances where the Cost Per 30s Ad increased in line with higher ratings.

• Cost Per 30s Ad: The cost of a 30-second advertisement during each Super Bowl game is listed under the Cost Per 30s Ad column. This allows you to examine trends in advertising costs or identify Super Bowl games that commanded particularly high advertising rates.

• Notes: Additional notes or details about each Super Bowl game are provided under the Notes column. These notes may contain interesting information, trivia, or historical context that can enrich your analysis.

Remember not to include dates as per your requirement for this guide.

With

Research Ideas

• Analyzing the popularity of Super Bowl games: With data on average U.S. viewers, rating, share, and cost per 30s ad, this dataset can be used to analyze the popularity and viewership trends of different Super Bowl games over the years. This can help identify patterns and factors that contribute to a successful Super Bowl event.
• Comparing team performance: By analyzing the winning and losing team points for each game, as well as their conferences, this dataset can be used to compare the performance of different teams in Super Bowl games. It can help determine which conferences or teams have historically performed better or worse in these high-stakes games.
• Studying advertising trends: The cost per 30s ad information in this dataset allows for an analysis of advertising trends during the Super Bowl. By examining how ad costs have changed over time, advertisers can gain insights into the value and effectiveness of Super Bowl commercials, as well as understand shifts in consumer behavior and preferences during these major sporting events

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: ThrowbackDataThursday 2019 Week 5 - Super Bowl.csv | Column name | Description | |:----------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------| | Game | The number assigned to each Super Bowl game. (Numeric) | | Date | The date on which the Super Bowl game took place. (Date) | | Winning team | The name of the team ...

The Super Bowl Ads dataset provides a comprehensive analysis of advertisements that have aired during the Super Bowl, one of the most watched television events in the United States. The Super Bowl is not just a sporting event, but also a cultural phenomenon, attracting a massive audience that is eagerly anticipating the commercials that air during the game.

The dataset includes information on the advertisers, their products or services, the length of the ad, and the cost of airing the ad during the Super Bowl. It also provides data on the popularity and success of each ad, such as viewer ratings and social media engagement. Additionally, the dataset contains information on the trends in advertising during the Super Bowl, such as the types of products and services that are most commonly advertised and the advertising strategies used by companies.

This dataset is valuable for marketers, advertisers, and business analysts who are interested in understanding the success rates and patterns of advertising during the Super Bowl. The dataset can be used to identify trends in successful ads, as well as to analyze the factors that contribute to an ad's success, such as creativity, humor, and emotional appeal. Additionally, the dataset may have practical applications in fields such as marketing and advertising, as it provides insights into the types of ads that are most effective in reaching and engaging with consumers during one of the most high-profile events of the year.