Overwatch News: New Overwatch Character Interactions Discovered; Listen To D.Va’s Philosophy On Life

By Day Chang - 14 Dec '16 03:40AM

Blizzard's massively successful Overwatch title has been the gift that keeps on giving. While players are currently going nuts on the recently updated Winter Wonderland patch, they might have missed a few subtle lore spoon-feeding from the game developers in the pre-Christmas PTR patch. Interesting Overwatch character to character responses have recently been found by diligent data miners on Reddit and they have posted them on the Internet for you to listen.

YouTube channel Hammeh - Overwatch (FailCraft) also generously uploaded a video showing us a few map-triggered voice lines and character responses with commetary. Characters who have not been heard interacting with certain characters in previous patches are definitely going to, adding to the already rich universe of Overwatch. Fans have been quick to note D.Va's philosophy on life.

Here is a sample of Overwatch hero D.Va asking Soldier 76 if life is a game. This interaction will certainly add fuel to the Daddy 76 x Gremlin D.Va fire.

Hammeh also directs us to Mei's heartbreaking voice line in the Eco-point Antarctica Map. We also get a bit of Overwatch hero Mercy calling out McCree for his smoking habits and Pharah's jealousy towards Tracer. In another voice line, Pharah notes how McCree is good at shooting. We then find out that McCree learned how to shoot from Ana Amari, who Overwatch players know is Pharah's mother.

In related news, Overwatch Winter Wonderland patch goes live with exciting new voice lines, aside from cool skins, emotes, sprays, and a fun game mode revolving everyone's favorite demon: Mei. Almost all the Overwatch characters have an unlockable voice line celebrating the holiday cheer. Notable voice lines include McCree attempting to break the ice, a cheeky Mei surprising you with a gift, a sexy sounding Reinhardt telling you that you are definitely on his naughty list.


Fun Stuff

The Next Read

Real Time Analytics