Pokemon GO Cheats, Tips & Tricks To Win On iPhone And Android

Niantic may have announced that it will be banning users who use Pokemon GO cheats but that does not mean yo can no longer have acceptable tricks up our sleeves. Here are some Pokemon GO cheats that will not get you banned from the popular game:

What You Name Your Eevee Matters

One of the most curious Pokemon GO cheats concerns the Eevee. Eevee is one of the most versatile Pokemon creatures out there and the name you use can be an issue of life and death (well, not really but you know what I mean). Naming it "Sparky" will turn it into a Jolteon. Naming it "Rainer" will yield a Vaporeon while "Pyro" will make it evolve into a Flareon. Be careful what you choose though as, according to BGR, this Pokemon GO cheat only works once.

Reserve Your Stardust For The Direst of Situations

Earmark the use of your Stardust for Level 12 and Level 15 as this Pokemon GO cheat will be useful in those levels. Do not use them for lesser Pokemon.

Forget Duplicate Pokemons

Trade your duplicate Pokemon (especially the lower level creatures) to Professor Willow. This Pokemon GO cheat will enable your better-equipped Pokemon to evolve faster.

Keep Your Eye On The Experience Points

Evolving is everything when it comes to experience points so one acceptable Pokemon GO cheat is to just keep evolving. It will make leveling up faster.

Know When And Where Specific Pokemon Types Can Be Found

As the mobile game is an augmented reality environment, it is natural that the Pokemon creatures thrive in their "habitats." Grass types tend to be found more near forests while water types are common in bodies of water, according to Bustle. This Pokemon GO cheat also means that ghost type Pokemon creatures will be easier to find at night.

For more Pokemon GO cheats, check back on Parent Herald. Meanwhile, watch the trailer for Pokemon GO released last year in the video below.

© 2024 ParentHerald.com All rights reserved. Do not reproduce without permission.

Join the Discussion
Real Time Analytics