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Introduction

MARVEL SNAP is a fast-paced collectible card game with innovative gameplay mechanics. Each player uses a deck of 12 cards and needs to win 2 out of 3 locations to win a game. Each card represents a Marvel superhero or villain, each with their own unique power or ability. If there is a tie at any opponent, the winner will be the player with the highest total points. Each game is very short, with an estimate of 3 minutes per match. You can learn more about the game at Marvel SNAP. Each player can “SNAP” to earn more cubes from their opponent. Cubes are used to determine a player’s rank.

The reason why these decks were chosen was based on a website called Untapped.gg which showcases all the meta decks. Based on Plarium, meta in gaming is used to describe the latest strategic methods and trends among those who play a particular game. Due to my relatively limited experience in the game, there exist numerous cards that I have yet to acquire. Consequently, I opted for three meta decks, as of June 2023, in which I possess either all of the requisite cards or am only missing a single card.

This data visualization presents three distinct decks that were used in a series of 20 games each. The visualization explores the strategic decision-making and gameplay progression on each turn, therefore a fundamental understanding of the game is needed in order to fully comprehend and appreciate the data viz. In this blog post, I will outline how the data visualization “Marvel SNAP Gameplay Analysis” came about.

  1. Inspiration
  2. Goal
  3. Assumptions and notes
  4. Data Collection
  5. Data Visualization Design
  6. Tableau Interactivity
  7. UI
  8. Data
  9. Final Thoughts

Inspiration