Best deck for the Cage Match in Clash Royale

A close look was given to the Clash Royale Cage Match event, which lasted from August 5th to August 12th, 2024. It introduced a completely new variant of the Goblin Cage, tested in both 1v1 and 2v2. This was closed out by an August 9th competitive challenge where the top performers got unique banners.

Best deck for the Marked Clash in Clash Royale

For sure! The following is a re-writing of the previous answer, oriented to be quite more technical and formal, addressed to an audience specialized in game analysis and game design:

Proposal for Quantitative and Qualitative Analysis of the Clash Royale Cage Match Event

The Cage Match event, that took place from 5th to 12th August 2024, is the first of its kind opportunity to study the effect of introducing a new gameplay mechanic in a competitive environment. This proposal outlines a methodological framework through which the data created during the event would be strongly analyzed with the intention of extracting very useful insights for game design and balancing.

Analysis Objectives

• Provide the impact of this new Goblin Cage version: How this new card has changed the metagame, player strategies, and their corresponding win rates.
• Identify new coplay patterns: New card combinations and strategies that emerged because of the event.
• Build a metric for player engagement or participation: It may be the success or failure of an event based on the number of participating players or hours played.
• Obtaining feedback from players' opinions about the event and the new card will have been analyzed by data from the surveys, forums, and social media.

Method

Data Collection

Game Data: Clash Royale APIs will indicate details about games played, cards used, win rate, among other relevant information.

Community Data: Scrap forums, social media, and streaming platforms to gather data on feedback from the community or what people are saying will be done.

Surveys: One can design and circulate various representative samples of players' questionnaires to elicit responses directly in respect to the event experience.

Quantitative analysis:

Descriptive: In the numerical variables of victory rates, troop survival time, etc., compute the descriptive statistics that include mean, median, and standard deviation.

Inferential analysis: Statistical tests can be done to observe the significant differences between groups—e.g., players who have been using the new card compared to those who did not.

Time Series Analysis: Identify tendencies and patterns of the development of metrics over time.

Data Mining: Apply methods from data mining to find new relations and patterns in data, including association rules and clustering.

Qualitative Analysis:

Content Analysis: Encoding and analysis of textual data – for example, out of the forums, social media, surveys. The output should be consisting of the main recurring themes, key opinions.

Discourse Analysis: Analyse discourses of players about the event and the new card.

Data Visualization

• Graphs, and tables: These are the techniques for representing the results of quantitative analysis so that they can clearly and compactly be visualized. Semantic network: Describe the relationship among the different concepts and themes that have been derived from qualitative analysis. Expected Results This will probably offer invaluable insights into how the Cage Match event had an effect on the Clash Royale metagame and player experience. In addition to this, the results may be helpful for:

• Game Balance—Adjustments are very likely in the parameters of the new and older cards. Design of Future Events: Data obtained will be used to design future events and challenges. Improve Player Experience: From feedback obtained, identify areas where the game can be improved. Conclusions

To sum up, a look at the case of the Cage Match event will assist the Clash Royale developers in making further decisions regarding their game wisely. This paper combines both quantitative and qualitative methods, and it can be of great help in understanding the general picture of the influence of a new game mechanic in order to set further studies.

Would you like to make your first insights into some of the things discussed in the analysis?

Possible extensions:

• Social media analytics: Do online research by using social media analytics tools on how information around the event flowed and how the players interacted with each other.
• Player Behavior Analysis: Eye tracking techniques, heatmap analysis to study player interaction with the user interface during the event.
• Simulation Modeling: Building simulation models predicting the impact of various changes in the game.

It provides a very good framework to make a rigorous and highly elaborated analysis of the Cage Match event, and can be easily modified for the study of other events and game features.