MLB Betting Scenarios Statistical Analysis
Budget: $15 – $25 USD
I have full, season-by-season Major League Baseball data for the last four years and a set of game-based scenarios I’m considering for private wagering. What I need is a clean, statistics-driven assessment that tells me—quickly and clearly—whether each scenario holds water. Critically, the successful candidate MUST have a working knowledge of Major League Baseball and prove such.
Here’s the heart of the job:
• Use straightforward descriptive statistics to examine game outcomes alongside the corresponding betting odds.
• Calculate the key measures (win rate, average line, implied vs. actual probability, simple ROI) for every scenario I supply.
• Package the findings so I can see, at a glance, which angles look profitable and which ones don’t. A concise write-up plus supporting tables or a well-commented spreadsheet is perfect; a few clear visualisations are a bonus.
All data access is already solved on my side, so you can dive straight into the analysis. Consistency across seasons is important, so please keep methods identical from year to year. I’m expecting separate results for each scenario and a short summary that ranks them by viability.
If you’re comfortable slicing four seasons of MLB numbers and presenting razor-sharp descriptive insights, let’s get this moving.
Skills Required
Excel
Statistics
R Programming Language
Statistical Analysis
SPSS Statistics
Data Analytics
Data Visualization
Data Analysis
Project ID: 40561952
Here’s the heart of the job:
• Use straightforward descriptive statistics to examine game outcomes alongside the corresponding betting odds.
• Calculate the key measures (win rate, average line, implied vs. actual probability, simple ROI) for every scenario I supply.
• Package the findings so I can see, at a glance, which angles look profitable and which ones don’t. A concise write-up plus supporting tables or a well-commented spreadsheet is perfect; a few clear visualisations are a bonus.
All data access is already solved on my side, so you can dive straight into the analysis. Consistency across seasons is important, so please keep methods identical from year to year. I’m expecting separate results for each scenario and a short summary that ranks them by viability.
If you’re comfortable slicing four seasons of MLB numbers and presenting razor-sharp descriptive insights, let’s get this moving.
Skills Required
Excel
Statistics
R Programming Language
Statistical Analysis
SPSS Statistics
Data Analytics
Data Visualization
Data Analysis
Project ID: 40561952