#### Submission Title

Analyzing Wordle Statistics to Create a Model

#### Faculty Sponsor(s)

Kate Lorenzen

#### Subject Area

Mathematics

#### Description

Using the data provided by The New York Times on their game "Wordle", it is possible to construct a model that predicts certain statistics about the game. Such as assigning any five-letter word a probability distribution pertaining to what percentage of players guess the word correctly on the 1st, 2nd, 3rd... Up to the 6^{th} guess. The model works by assigning a difficulty value to the chosen word, then a probability distribution is generated based on the rules of the model for that difficulty value. Predicting the number of players, and number of players in hard mode is also possible.

#### Recommended Citation

Pfleiger, Sydney; Pinard, Lucas; and Stephens, Gabrielle, "Analyzing Wordle Statistics to Create a Model" (2023). *Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement.* Event. Submission 1.

https://digitalcommons.linfield.edu/symposium/2023/all/1

Analyzing Wordle Statistics to Create a Model

Using the data provided by The New York Times on their game "Wordle", it is possible to construct a model that predicts certain statistics about the game. Such as assigning any five-letter word a probability distribution pertaining to what percentage of players guess the word correctly on the 1st, 2nd, 3rd... Up to the 6^{th} guess. The model works by assigning a difficulty value to the chosen word, then a probability distribution is generated based on the rules of the model for that difficulty value. Predicting the number of players, and number of players in hard mode is also possible.