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Wordle is a very popular word game, which is not only attracted many players, but researchers’ interests. However, the prediction, pass rate, and the distinction of difficulty are rare be studied. In this paper, we study the game popularity of Wordle by using LSTM to predict the popularity of the game based on previous scenarios. We use BP-neural network to predict the pass rate of Wordle. Moreover, we evaluate the game difficulty by TOP-SIS model, and train a classifier that can make classification on the Wordle puzzles. In experiment part, we use the data from to predict the popularity of the game on March 1, 2023, and analyze the difficulty of four game levels, predict the difficulty of some levels.

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Research on Wordle’s Popularity, Pass Rate, and Difficulty Based on Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Shuoqu Jian,
  • Nan Gu,
  • Sihan Huo,
  • Runhao Zhao,
  • Dan Xu

摘要

Wordle is a very popular word game, which is not only attracted many players, but researchers’ interests. However, the prediction, pass rate, and the distinction of difficulty are rare be studied. In this paper, we study the game popularity of Wordle by using LSTM to predict the popularity of the game based on previous scenarios. We use BP-neural network to predict the pass rate of Wordle. Moreover, we evaluate the game difficulty by TOP-SIS model, and train a classifier that can make classification on the Wordle puzzles. In experiment part, we use the data from to predict the popularity of the game on March 1, 2023, and analyze the difficulty of four game levels, predict the difficulty of some levels.