Dataset

This dataset was created by Chase Dockter

Released under CC0: Public Domain

Contents

This dataset is a submission for the 2025 Big Data Bowl Kaggle Competition in which participants had to generate creative insights and actionable predictions into what the offense or defense does after the snap. This submission is for the Coaching Presentation submission track of the competition which involved creating a submission designed for specifically for coaches.

Attached in this dataset is a slide deck that outlines the analysis which attempts to determine how a shift from a trips receiver alignment to a double twins receiver alignment affects the probability of certain outcomes or events from happening. The data used for this analysis consisted of information from around 16,000 plays from 136 games from the 2022 NFL season.

The code used to conduct the analysis can be found in the "Code" tab of this dataset.

Our submission for the 2025 Big Data Bowl, Advantage Theory: The insufficiency of pre-snap data. An examination of advantage theory in football, its effect on play success, and the utility of pre-snap data in predicting post-snap advantage for the offense.

ameau01/Big-Data-Bowl-2025 dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by Handsonlabs Software Academy

Released under Apache 2.0

Contents

Dataset

This dataset was created by Marriott Gift Mumba

Released under MIT

Contents

Dataset

This dataset was created by ElusiveElephant

Contents

Dataset

This dataset was created by Addison McGhee

Released under MIT

Contents

2025 NFL Big Data Bowl Submission.

NFL Big Data Bowl Coaching Presentation Track submission.

Link to Kaggle Notebook: https://www.kaggle.com/code/addisonmcghee/2025-big-data-bowl-random-forest-model

Dataset

This dataset was created by Randall Short

Released under CC BY-NC-SA 4.0

Contents

The Super Bowl is one of the most-watched sporting events in the world, regularly attracting more than 70,000 fans to the live event. The highest attendance figures are often associated with games that feature popular teams, exciting matchups, or other special circumstances such as the large seating capacity of the stadium within which the games are hosted. The 2026 Super Bowl, which was hosted at Levi's Stadium in Santa Clara, California had an attendance of 70,823 fans. This game saw the Seattle Seahawks beat the New England Patriots claim their second Super Bowl title. Overall, the Super Bowl attendance figures demonstrate the popularity and enduring appeal of American football as a major sport and cultural event in the United States. Popularity of the Super Bowl The Super Bowl's popularity is undeniable, with the annual championship game of the National Football League being one of the biggest single-day sports events in the world. Each year, the champions of the National Football Conference and the American Football Conference compete against each other, drawing high television ratings. The 2025 Super Bowl set a record-breaking average TV audience of over 127 million viewers in the United States. Super Bowl spending The Super Bowl generates millions of dollars in advertising revenue for the NFL, with the advertising revenue from the 2024 Super Bowl standing at a record 800 million U.S. dollars. A 30-second ad spot during the Super Bowl broadcast cost an average of eight million U.S. dollars in 2026. The big game also leads to significant consumer spending, with Super Bowl-related consumer spending in the U.S. estimated to have stood at about 20 billion U.S. dollars in 2026. The average American consumer planned to spend over 90 U.S. dollars on Super Bowl Sunday, with expenditures on food and beverages, televisions, furniture, team apparel and accessories, and decorations.

A player's route tree is greatly limited if they are flying away from the formation in motion at the snap of the ball.

https://franchise-tag.com/

Dataset

This dataset was created by Alexander Meau

Released under Apache 2.0

Contents

Dataset

This dataset was created by Addison McGhee

Released under MIT

Contents

Dataset

This dataset was created by Michael Ofeor

Released under CC0: Public Domain

Contents

NFL Data Bowl 2025 players list with all birthdays except one.

The following two datasets help me a lot ! For the rest I used Google 😅: https://www.kaggle.com/datasets/marcothompson/nfl-player-list-w-attributes-salaries https://www.kaggle.com/datasets/kendallgillies/nflstatistics

I have added a new column with the same format birthdate and an age one. The missing value is Stephen Jones DE from Colorado State, impossible to find something, I have filled this age by zero, but I truly beleive you can make him as something between 25-27 years old (1997-1999).

If you have some intel, please let me know !

Dataset

This dataset was created by Tom Cleary

Contents

Dataset

This dataset was created by Alexander Meau

Released under Apache 2.0

Contents

Dataset

This dataset was created by Nathan Wright

Released under CC0: Public Domain

Contents

This is our 2025 Big Data Bowl Submission - "Which Pre-Snap Motions Generate an Offensive Edge?"

Authors: Sam Kirschner and Andrew May

This submission looks at how pre-snap motion can help the offense gain a spatial and information advantage and which types of motion work best at doing that.