Trending News

'How To Get Away With Murder' Episode Guide: New Powerful, Smart Woman To Tangle With Viola Davis' Annalise Keating

| By

Recent "How To Get Away with Murder" episode guide talked about the difficult "visitor" that Annalise Keating (Viola Davis) and the rest of her students will have to deal with.

The first episode since the mid-season finale, titled "Hello Raskolnikov" will air on January 28.

The synopsis reads below:

"It's the day after Sam's murder and the students are called in to help Annalise find her missing husband, but just how much does Annalise know? And when a surprise visitor shows up in town, getting away with this murder might not be as easy as the students had hoped."

While this "How to Get Away with Murder" episode guide is centered on the new visitor, there is another character that will make Keating's life hard.

TV Line wrote:

"While EP Pete Nowalk doesn't want to spoil what role Oscar-winner Marcia Gay Harden has signed on to play, he's kind enough to provide a little tease. 'We meet her character at the end of [Thursday's episode]. She plays this really powerful, smart woman to be in scenes with Viola.' You can expect their interactions to be big and emotional."

Marcia Gay Harden's arrival in the hit ABC was first reported in November last year. Peter Nowalk talked about this character in an interview with the Entertainment Weekly and described her as an "antagonist" to Davis' Keating.

"It's like Viola brings all the boys to the yard. It's true. Without Viola, you don't try to get Marcia Gay Harden. That's what I'm interested in exploring now-the more quiet, psychological thriller moments. We've done the high adrenaline of murder night. I'd like to balance it now with more serious character emotion. Having someone like Marcia Gay Harden really lets us delve into that," Nowalk explained.

"She's an antagonist to Annalise. She's a thorn in our characters' side in a way that will be surprising, I hope."

© 2024 Franchise Herald. All rights reserved.

Trending News

Real Time Analytics