Grad Game is the ultimate online resource for graduate school applicants.
By creating an ad hoc social network of graduate school applicants and collecting their application information, Grad Game is able to provide realistic and real-time information to all its users about the success they can expect with their applications. Users may view acceptance rates, test score averages, and statistics of those accepted (or rejected!) from any school in our database!
By signing up with Grad Game, you can add your favorite schools to your profile page and track any updates with ease. Watch how your 'admission chances' estimate updates in real-time based on other users' changes. Keep track of the real-time admission rates and results chart as the application timeline progresses. Also, check to see how applicants are being notified of admission (or rejection!) so you know whether to constantly check your mailbox, inbox, or answering machine!
Grad Game compiles and analyzes all of the data provided by its users to calculate an estimated likelihood of acceptance to any given grad school and program. Grad Game provides its users with two estimates: The first is based on how you measure up against other Grad Game users currently applying to your same program. The second is based on past data of admission rates and test score averages. Use these estimates to help you decide which schools to apply to, so that you maximize your chances of admission!
FREQUENTLY ASKED QUESTIONS
Isn't there more to graduate school applications than GPA and GRE scores? What about letters of recommendation, research, experience, etc?
Yes, GPA and GRE scores are only a slice of the whole pie. Grad Game cannot definitively tell you whether you will or will not be accepted to a particular school, as certainly there are many exceptions to the norm. Exceptions aside, the admissions process is a game of statistics: simply put, if you are significantly above the average your chances of admission are better.
Where do you get all your information from? Is it really accurate, or are you just making it up? Why are a lot of the "average scores" the same?
We strive to provide the most accurate information available to our users. We place priority on user-provided data and any published data from the particular university's website. Sometimes, where there is a lack of availabe information, we must simply default to a general "average" for an entire category. Something is better than nothing!
