This is a video on how we can use concept of probability and expected values to create an almost perfect Wordle player. I also make a simple proof of concept to show how good the method is, and do some analysis on why some guesses are better than others (spoiler: "lares" is apparently a very good first guess). I don't claim this idea to be unique or anything, but I still do want to give the problem a go myself regardless. If you haven't played Wordle, check it here (I am not the developer of the game): https://www.powerlanguage.co.uk/wordle/ Slight disclaimer: 99.9% win rate is only true for the game's easy mode. It's a slight caveat but it's still quite impressive the solver works GitHub repository with the codes I wrote (as a Jupyter notebook, currently a bit untidy): https://github.com/thecheesynachos/word-game-solver. I try my best to check for bugs, and I don't think there are any. If there are though, do let me know. Many improvements to the code can still be made (e.g. use approximation techniques, optimise code, judging words with a different objective, etc.), so I encourage anyone else to build on what I did if you want. For the record, I don't use the solver when I actually play the game, since it kind of ruins the fun that way (lol). Chapters 0:00 - Introduction 1:36 - The game 5:12 - Making the game work 8:52 - Setting up the problem 13:58 - How the variables relate to each other 19:03 - What should we try to optimise? 23:28 - The mathematical details 30:29 - Which words should be checked? 34:10 - Comparing the methods 37:31 - Some demo 40:15 - Words that are good (or bad) first guesses 44:29 - Some details on the implementation 45:21 - Other ways to potentially approach the problem 46:19 - Outro and a bit of rambling