Sports Prediction App Developer Needed: Pulling Stats, Linear Regression, and Subscription-Based Access
Budget: $1,500 – $3,000 USD
We are looking for an experienced app developer to create a sports prediction app that pulls player and team stats, uses historical data to run linear regression models, and allows users to select starting line-ups. The app will cater to sports enthusiasts, bettors, and fantasy sports players, covering football, soccer, baseball, and basketball for both professional and college teams.
Key features:
1. Pull stats for players and teams from reliable sources (either licensed or open data).
2. Allow users to select starting line-ups for games.
3. Utilize linear regression models based on historical data to predict game outcomes.
4. Offer a free version that opens 1-hour before the game starts with limited access.
5. Include a subscription-based version with full access to the site and games at any time.
6. Develop the app for both iOS and Android.
Requirements:
1. Proven experience in app development, particularly in sports-related apps or prediction models.
2. Strong understanding of linear regression and statistical analysis.
3. Familiarity with sports data sources and handling API integrations.
4. Excellent UI/UX design skills, ensuring an intuitive and visually appealing app.
5. Clear communication and timely progress updates throughout the development process.
Project timeline and budget: We expect the project to be completed within 4-months. Our budget for this project is $1,500 - $3,500 with additional pay for continued post-development support. Please provide a detailed proposal with a breakdown of costs for each feature and development phase.
Post-development support: We require ongoing support for app maintenance, updates, and bug fixes. Please include your availability and pricing for post-development support in your proposal.
Application process: To apply, please submit the following:
1. A portfolio showcasing your previous app development projects, highlighting sports-related apps or prediction models if available.
2. A brief description of your experience with linear regression and statistical analysis.
3. An outline of your proposed development process, including project milestones and anticipated challenges.
4. Your estimated timeline and budget breakdown for the project.
5. Any relevant references or testimonials from past clients.
We are excited to find the right developer for our sports prediction app and look forward to reviewing your proposals. The deadline for submitting your application is April 10, 2023. Please feel free to reach out with any questions or clarifications.
Thank you for considering our project, and we look forward to working with you!
Key features:
1. Pull stats for players and teams from reliable sources (either licensed or open data).
2. Allow users to select starting line-ups for games.
3. Utilize linear regression models based on historical data to predict game outcomes.
4. Offer a free version that opens 1-hour before the game starts with limited access.
5. Include a subscription-based version with full access to the site and games at any time.
6. Develop the app for both iOS and Android.
Requirements:
1. Proven experience in app development, particularly in sports-related apps or prediction models.
2. Strong understanding of linear regression and statistical analysis.
3. Familiarity with sports data sources and handling API integrations.
4. Excellent UI/UX design skills, ensuring an intuitive and visually appealing app.
5. Clear communication and timely progress updates throughout the development process.
Project timeline and budget: We expect the project to be completed within 4-months. Our budget for this project is $1,500 - $3,500 with additional pay for continued post-development support. Please provide a detailed proposal with a breakdown of costs for each feature and development phase.
Post-development support: We require ongoing support for app maintenance, updates, and bug fixes. Please include your availability and pricing for post-development support in your proposal.
Application process: To apply, please submit the following:
1. A portfolio showcasing your previous app development projects, highlighting sports-related apps or prediction models if available.
2. A brief description of your experience with linear regression and statistical analysis.
3. An outline of your proposed development process, including project milestones and anticipated challenges.
4. Your estimated timeline and budget breakdown for the project.
5. Any relevant references or testimonials from past clients.
We are excited to find the right developer for our sports prediction app and look forward to reviewing your proposals. The deadline for submitting your application is April 10, 2023. Please feel free to reach out with any questions or clarifications.
Thank you for considering our project, and we look forward to working with you!
Related categories:
Mobile App Development
Statistical Analysis
App Design
Statistical Modeling
API Integration