Wordle game prediction study based on ARIMA and grey correlation analysis model

The puzzle game Wordle is a huge hit and has attracted a lot of users on Twitter. In the era of big data, this study is dedicated to mining meaningful information from the data thus building a predictive model of the game, which can be used to assess its impact on human choices and behavioral outcomes. This experiment hopes that by predicting trends in multiple aspects of player behaviour, it will lead to more interesting and innovative improvements in puzzle games. By building an ARIMA model, it is possible to predict the number of people who will give feedback on the results each day. A grey correlation analysis model was developed to analyse the effect of three different factors on the percentage of people choosing the difficult mode in the game.