Oscar Statues on display at the Time WarOver the course of awards season you will read countless articles from critics on who will win the coveted golden Oscar. These predictions are often based on their “expert” opinion, number of total award wins, and other critics’ opinions. In contrast, StudioSystemNews will look at a new way of predicting the Academy Awards: utilizing The Studio System, the most comprehensive database in the industry.

To make educated predictions, you must also research the voting pool’s composition. The Oscars’ voting pool consists of film professionals who were invited to join the Academy. By and large the Academy members are also guild members with the majority holding SAG cards. It should be noted, not all branches have corresponding Academy Award categories. Members of the Public Relations and Executives branches aren’t usually guild members. However, the guild awards still remain the best indicator for predictions as the lion’s share of Oscar categories correlate well.

Select a category below to see Studio System News’ analysis of the nominees and projected winners.

Academy Award Categories


Picture & Directing

Original Score & Original Song

Actor & Actress

Production Design & Costume Design

Supporting Actor & Supporting Actress

Visual Effects & Makeup And Hairstyling

Adapted Screenplay & Original Screenplay

Animated Feature & Foreign Language Film

Cinematography & Film Editing

Animated Short Film & Live Action Short Film

Sound Editing & Sound Mixing

Documentary Feature & Documentary Short



Click on the links below for a printable ballot to challenge your friends on Oscar night. We’ve also done the work for you and provided a pre-filled out ballot with our SSN Oscar predictions using data analysis from the last 10 years of awards if you want to let it ride with us.  Enjoy!

Printable Ballot

SSN Projections Ballot

Disclaimer: The picks included in our SSN projections ballot are based on historical analysis and SSN News shall not be held liable or responsible for any use or disuse of information.