December 22, 2024 11:26 AM

'League of Legends' Blood Moon Event Mode Hacks & Tips: All Secrets Revealed For Strong Champions, Earning Points, Slaying Game!

"League of Legends" just recently launched an exciting bash for everyone. Hence, here are the best Blood Moon Event Mode hacks and tips to expertly conquer the game. Learn which are the best strong champions and ways to earn points.

From February 10 to 14, "League of Legends" Blood Moon Event will run then it will have another set of dates after a week. It's the newest rotating game that Riot Games served to its fans. Everyone gets another treat with the action-packed bloodshed gameplay once again.

According to Rift Herald, the aim of the "League of Legends" Blood Moon Event is to accumulate points. The first team to get 350, from killing enemy champions, killing roaming spirits, and killing Demon Herald, will be victorious.

To win the "League of Legends" Blood Moon Event, don't die! That's the best tip for everybody. Be sure to constantly move and roam the area. When hunting in the jungle, use spirits as baits before attacking enemies. Always think ahead of the other team's strategy, make us of all the advantages in the game.

Having the best tier of strongest championships can also be a top "League of Legends" Blood Moon Event way of taking the crown, iDigitalTimes shares the best ones on the game. Some of them are Shaco, Leblanc, Rengar, and Kha Zix. Each of them has the excellent skills which can be used to destroy the other team.

Moreover, Tech Mic also offers the best details for earning additional points for "League of Legends" Blood Moon Event. As told above, Demon Herald killing can highly give scores. It can serve 30 points higher than slaying ghosts and other champions.

Lastly, killing three enemies in one slash can acquire a nice Demon Brand. This one of the most coveted prize in the game. Players like it for its additional gift of higher speed and invisibility that can truly damage the enemies without a sweat.

Tags
League of legends
Join the Discussion
Real Time Analytics