Apex Legends is developing a matchmaking system to deal with cheaters by matching them all together.
Respawn’s latest developer updated posted on Reddit, detailed the various ways they’re planning to deal with hackers, cheaters and spammers. Carefully outlining their creative planned methods to tackle the ongoing dance with cheaters, including developing machine learning to auto-ban cheaters. Gutsier is undoubtedly the option to accurately detect cheaters and spammers, then proceeding to match them together in a Cheater’s Hell. Oh, how I love the classic cat and mouse chase!
The necessary work doesn’t stop there. Since Apex Legends Launched in February, public and private hacks have almost gone viral. No doubt down to the fact, Apex Legends is free to play. Cheaters currently believe there is no downside to getting caught. To remedy this, Apex Legends will attempt to rigorously forbid potential hackers from even getting on the game to begin with. Preventing spammers and cheaters alike from making multiple accounts once they have been determined as high risk.
Knowingly teaming up with cheaters will additionally no longer sit in the grey area. Respawn outline clearly that anyone found purposely teaming up with a hacker will be regarded as cheating, which will not be tolerated by the developers.
Until the latest dev post, Respawn remained tight-lipped at how they are addressing cheaters, possibly to prevent cheaters from staying a step ahead. Clearly proud of the work they have made so far, they now feel it’s the right time to address these issues publicly. Respawn also urged players to manually assist in the fight against cheaters stating:
“As we’ve said before, the war against cheaters will be ongoing and remains a high priority for us. There will always be work to do, improvements to make, and new things to adapt to. We’d like to thank the players that have been getting involved with helping us squash cheaters over the last week whether it be submitting reports or assisting with the vetting process for suspicious behavior.”