✷ VGC MATCHUP LAB
by @andybrphy

Indianapolis Regional Championship

📅 May 27 2026

🤼 1013 Players

📑 Regulation M-A

🏆 Won by Arsal Puri

The Weighted section is the average win percentage where each matchup is weighted by its number of games, so matchups played more often have a larger influence on the final result.

📈 best performance

	extremely positive matchup into the top 6 most popular Megas extremely positive matchup spread against common archetypes struggles into (42.8% w/r), Gengar (40% w/r)
	extremely positive matchup into the top 6 most popular Megas extremely positive matchup spread against common archetypes struggles into Charizard Y & Dragonite (35% w/r), Delphox & Floette (27.27% w/r)
	positive matchup into the top 6 most popular Megas extremely positive matchup spread against common archetypes struggles into Tyranitar (33.33% w/r), Gardevoir (33.33% w/r)

📉 worst performance

	Dropped out of the top 20 most used Mega team compositions, has an overall win rate of 37.13%.
	Dropped out of the top 20 most used Mega team compositions, overall 46.89% win rate. Usage has picked up non-Mega Scizor with 52.17% win rate.
	Extremely low win rate for this duo. Do note that it was the 19th most used Mega composition, it did not play as many games!

🔎 trends

	Undisputed king of the format. Takes up 3/5 of the most used Mega team compositions. The meta is shaped around using or countering this Pokémon.
	As the data showed last time, this is in contention for best second-Mega. Going extremely positive into Charizard helps a lot!
	While Mega Glimmora showed up a few times in the top 20, its non-Mega counterpart has showed up on many teams and has a much more favourable win rate. It has an extremely favourable matchup into all the top performing Mega Pokémon.

about

I really wanted to have a way to see how certain team compositions pair into each other, so that's how this website came about. There are plenty of places to find top teams, but I wanted a tool to help with my own teambuilding process that can provide data that helps spot weakpoints in both the meta and individual teams.

In the video below, I explain how I got the data and setup the site.

credits

✷ website and data collection by andy brophy
✷ limitless tournament data