Think you know movies? Test your knowledge against the world by competing against other Popcorn Quiz players!
Popcorn Quiz will ask you five true or false questions to test your knowledge of actors, directors, characters, years of release, quotes and movie slogans from a growing collection of over 80,000 movies spanning the last 80 years of cinema.
Popcorn Quiz will keep your score and tell you your world ranking position against 250,000 other Popcorn Quiz players!
** Play 5 games in a row for a double-point round! ** Play 10 games in a row for a triple-point round! **
The more games you play and the more questions you answer correctly, the greater chance to increase your world rank. Got all questions right in that round? You can now gamble to double up or lose them all...
** Every 3 days is a double-point day - use this storm up the league **
Use your Alexa app for visual clues in the movie posters.
You can view the world rankings, live gameplay activity and the latest news at www.daryljewkes.com
Your opinion matters - reviews and ratings result in more features and updates - every player benefits from your feedback!
** Latest Updates ** 20 Sep 19 - NEW QUESTION TYPE IS NOW LIVE - Character deaths!!! Hope you were paying attention...
17 Aug 19 - Popcorn Quiz welcomes Hindi players!
11 Jul 19 - Movie quotes are now live
15 Jun 19 - Popcorn Quiz welcomes Portuguese players!
22 May 19 - For every Amazon review, good or bad, I'll reward everyone with a day of triple points!
23 Mar 19 - Lots of improvements to the game engine to support the growing community.
21 Feb 19 - Movie first lines are now spoken by a male or female voice to match the movie and give you that extra clue.
31 Jan 19 - NEW QUESTION TYPE IS NOW LIVE!!! Movie first line quotes are now a question type within the game.
20 Jan 19 - 2019 movies are now being prepared. Each new movie will be added to the game once they have received a public rating. This is to ensure that the movie has been released and the questions are as accurate as possible.
22 Nov 18 - Got all questions right in that round? You can now gamble to double up or lose them all...
14 Nov 18 - Happy Birthday to me! All rounds are triple points!
17 Oct 18 - Your first game of the day is worth triple points!
22 Sep 18 - All languages now have actor questions.
4 Sep 18 - Popcorn Quiz welcomes Japanese players!
2 Aug 18 - Popcorn Quiz welcomes Spanish and Italian players!
14 Jun 18 - Play 10 games in a row for a triple-point round!
10 Jun 18 - Popcorn Quiz is now ready to welcome French players!
28 May 18 - Happy Birthday to Popcorn Quiz! All rounds are triple points!
30 Mar 18 - April Fools' Day is almost here and Popcorn Quiz will be delivering the Comedy Movies throughout the day.
24 Mar 18 - Improving the card information and optimising the use of the space on Echo Display devices.
20 Mar 18 - To celebrate 250,000 games played and over 65,000 players, a new round category has been added for the highest rated movies ever! Look out for Top Rated movie rounds.
17 Mar 18 - New gameplay feature! Every 5th consecutive game you play will reward you with double points.
13 Mar 18 - Musicals and music-related movies are now available within the game.
4 Mar 18 - Better feedback when asking for your rank. Popcorn Quiz will now tell you how many positions you've lost in between plays if you've been overtaken.
23 Feb 18 - NEW QUESTION TYPE IS NOW LIVE!!! Movie slogans are now a question type within the game.
8 Feb 18 - Valentine's Day is just around the corner and Popcorn Quiz will be getting into a romantic movie mood on the 14th.
30 Jan 18 - First batch of 2018 movies have now been made available within the game.
20 Jan 18 - Popcorn Quiz will now host regular double-point days. Tune in for regular updates and use these to your advantage to storm your way up the league!
This skill contains dynamic content, which is content that is updated real-time based on inputs from the developer. The maturity rating associated with this skill pertains only to the content of the skill at the time of the submission.
Amazon calculates a product’s star ratings using a machine learned model instead of a raw data average. The machine learned model takes into account factors including: the age of a review, helpfulness votes by customers and whether the reviews are from verified purchases.