ExpSqueeze finds the average amount of experience in Pokemon that can be gained from a single wild encounter within an encounter table, along with many other stats. ExpSqueeze works for most mainline Pokemon games except Generation 8+. The data generated by ExpSqueeze can be filtered and manipulated in many different ways to make it easier to find the perfect place to train a pokemon or for other analytical uses.

• Accounting for factors that change encounter tables, like the time of day.
• Ability to filter by the types of pokemon.
• Rematchable trainers.
• Adjusting calculated experience when repels are used.
• Filtering and sorting by EV yields.
• Filter tables by what part of the game you're in.
• And a lot more!

• location-area (encounter tables): PokeAPI (fixed up considerably)
• pokemon (species data, used for type filtering): PokeAPI
• exp-gain-stats (yield stats): Adapted from Bulbapedia (1, 2)
• frlgtrainerdata and trainers (data about trainer rematches): Mostly adapted from pret disassembly projects, some from Bulbapedia.
• progress (data for progress filtering): Self made
• swarm-data (Generation 3 and 5 swarm encounter tables): Adapted from Bulbapedia
• UI: Imgui

Encounter tables consist of encounter slots. Every slot has a Pokemon, minimum and maximum level, and % chance value. ExpSqueeze finds the average level given the minimum and maximum level, solves the leftmost fraction of the experience gain formula, and then weighs this according to the slot's % chance. This is done for every slot. When the numbers are added up, you get the encounter table's average experience per encounter.