What Does the Best Picture Oscar Race Look Like Today.

This time of year I follow AwardsCircuit.com to follow the latest thinking in the Oscar race. AwardsCircuit updated their projected nominees this past Monday and with nine weekends left in the year eight of the ten Best Picture projections have not gone into wide release yet. Does this mean that the best is yet to come? It could. But, it could also mean that they are still hyped for Best Picture because their exposure to critics and audiences has been limited.

I was away most of the week and so I wasn’t able to update my databases, my lists, or come up with new interesting studies. But, that doesn’t mean I haven’t been thinking about “really like” movies.

This time of year I follow AwardsCircuit.com to follow the latest thinking in the Oscar race. AwardsCircuit updated their projected nominees this past Monday and with nine weekends left in the year eight of the ten Best Picture projections have not gone into wide release yet. Does this mean that the best is yet to come? It could. But, it could also mean that they are still hyped for Best Picture because their exposure to critics and audiences has been limited.

There were other movies that have already been released that were expected to be Best Picture contenders. Of these only Dunkirk and Blade Runner 2049 have met their pre-release expectations and are still considered Best Picture caliber movies. Other Best Picture hyped movies, like Battle of the Sexes, Marshall, Suburbicon, and Mother, have either wilted or flopped when exposed to critics and audiences. The same could happen to the eight pre-release movies still projected for Best Picture nominations.

If Dunkirk and Blade Runner 2049 have survived the scrutiny of critics and audiences to remain Best Picture contenders, how do the remaining eight projected contenders measure up to those movies so far. All eight have been seen at film festivals to a limited degree by critics and audiences and so there is some feedback to see how these movies are trending. Using average ratings from IMDB and Rotten Tomatoes % Fresh ratings, we can get some early feedback on how those eight movies are faring so far. I’ve converted the Rotten Tomatoes % Fresh to a ten point scale to get an apples to apples comparison with IMDB. I’ve also included the four movies mentioned above that haven’t lived up to the hype so far. The eight pre-release contenders are in bold on the list.

Movie IMDB Rotten Tomatoes Total Score
Call Me By Your Name 8.3 9.8 18.1
Three Billboards Outside of Ebbing, Missouri 8.3 9.8 18.1
Lady Bird 7.8 10.0 17.8
Dunkirk 8.3 9.2 17.5
Blade Runner 2049 8.5 8.8 17.3
Shape of Water, The 7.5 9.7 17.2
I, Tonya 7.4 9.1 16.5
Mudbound 6.3 9.5 15.8
Battle of the Sexes 6.9 8.5 15.4
Marshall 7.0 8.3 15.3
Mother 7.1 6.9 14.0
Last Flag Flying 6.7 6.8 13.5
Darkest Hour 5.3 7.9 13.2
Suburbicon 4.7 2.5 7.2

If the post-release feedback is consistent with the pre-release feedback, then Call Me By Your NameThree Billboards Outside of Ebbing, Missouri, and Lady Bird are the real deal. The Shape of Water, and I, Tonya also appear solid. Mudbound could be on the fence. The early audience response to Last Flag Flying and Darkest Hour may be warning signs that these movies may have been overhyped. If they falter, Battle of the Sexes could move back into contention. You could also see two movies that haven’t been seen by either critics or audiences yet, The Post and Phantom Thread, possibly emerge as contenders. You could also see a dark horse like The Florida Project (IMDB=8.1, Rotten Tomatoes=97% Fresh) sneak in. There are still many twists and turns that will present themselves before Best Picture nominations are announced in January.

The first of these eight movies to test themselves will be Lady Bird which goes into limited release this coming weekend. With fifty critic reviews registered in Rotten Tomatoes, it is still at 100% Certified Fresh. This is one that I’ll probably see in the theaters. Soairse Ronan has become one of my favorite young actresses.

Author: Mad Movie Man

I love good movies. In my prior life I worked with predictive models. I've combined my love of movies with my prior experience to create a simple Bayesian probability model to help select movies that you will probably "really like".

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s