Analysis and Prediction of Wordle Dataset Based on ARIMA and Grey Verhulst Model

This paper counts the scores of 359 days based on Wordle dataset, and then builds a time series model and a gray Verhulst prediction model, using the two predicted values as the score interval on March 1, 2023, where the time series model prediction is rounded to 20602 and the gray Verhulst prediction model prediction is rounded to 21105. According to the model, we conclude that the Number of reported results show a variation of increasing, then decreasing, and finally stabilizing. Combining the two models above, the number interval for the results reported on March 1, 2023 approximaely should be[20602,21105]. The model has strong stability, and I hope this paper can provide some reference for the prediction of other data sets.