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Confused What Trolls Mean in ML? This is the meaning of ngetrol in ML


Meaning of ngetrol in ML


Meaning of trolls in ML – There is one game in Mobile Legends that irritates a team, namely Trolls in ML. But do you know what is meant by the meaning of ngetroll in ML.

If you don’t know the meaning of troll in ML, we will discuss the meaning of ngetroll in ML together here.

As solo players in the Mobile Legends game, we must have felt betrayed by a teammate.

Most of it happens at the Mythic level and below, which annoys teammates.

Because rank is still not given a lot of thought at Mythic level and below, so many people do.

Plus, when we pick our favorite hero, there are sometimes weird ones at AFK too.

That was a big mistake, of course, because we can’t just win games with trolls.

So what does it mean to troll in ML?

Meaning of trolls in ML

The importance of trolling in ML is bad behavior. For example, if we are serious about playing in rank, there will be a teammate using a hero who has no damage.

Examples like Rafaela, Estes and others.

To be more precise, in the draft pick we choose a random hero so that he only charges the team.

It’s not just the draft pick, even when the game starts, we do things that irritate our teammates.

For example, when we use the Jawhead hero and throw a teammate’s buff until the buff is reset again.

Or we use Johnson and invite friends and then crash the enemy base.

For people who do, such behavior can be a very fun thing to do.

But actually, it’s very harmful to other people, especially when other people want to hunt and ascend.

There are also many reasons why a lot of people do it in Mobile Legends, such as for fun, getting hit by Lose Treak, not being excited about the game, and so on.

In addition, there are many heroes that we can troll with in Mobile Legends, namely Fanny, Jawhead, Johnson, Alucard and others.

Well, that’s the meaning of trolling in ML. So if your teammate picks a random hero, it means they want to troll.

You already know the meaning of troll in ML. Hopefully it’s useful, that’s all and thanks.