Dr. Gogochi
Pokémon GO content creator since 2016. I publish data-driven strategy guides for Pokémon GO, focusing on Max Battle, raids, gym battles, and GO Battle League — backed by simulation and statistical analysis.
My guides are built from simulation data and aim to give clear, actionable recommendations rather than vague tier lists.
Background
- Degree: Doctor of Science (PhD), Osaka University — Graduate School of Science, Chemistry
- Occupation: Freelance content creator (Pokémon GO strategy & data analysis)
- Specialty: Data science, statistics, simulation-based game analysis
- Credentials: Kaggle Expert (2024) · Japan Statistical Society Grade 1 (2023) · JDLA E (Deep Learning Engineer, 2022) · Applied Information Technology Engineer (2022) · Database Specialist (2022) · TOEIC L&R 915 (2021) · Eiken Grade 1 (2021)
- Pokémon GO: Active player since 2016. All main-series games completed.
About This Site
doctorpokegogo.com publishes strategy guides for Pokémon GO, with a focus on quantitative analysis — damage simulations, durability rankings, and party-building logic.
English guides cover Max Battle, raid counters, Lucky Trade and Rare Candy decisions, Eeveelution rankings, and resource-investment guides. Japanese coverage extends to Gym Battle, GO Battle League, and the full Pokémon evaluation database.
Find Me Online
- YouTube: @Dr_Gogochi
- X (Twitter): @doctorgogochi
Disclaimer & Trademarks
doctorpokegogo.com is an independent fan site. This site is not affiliated with, endorsed by, or sponsored by The Pokémon Company, Niantic, or Nintendo. Pokémon and all related characters, names, marks, and logos are trademarks of The Pokémon Company.
All in-game data referenced on this site (CP / IV / move stats / type charts) is sourced from publicly available game files and the live game master, and is updated regularly. Strategy recommendations represent the author’s independent analysis and should not be construed as official guidance.
