An Update on Player Dynamics

An Update on Player Dynamics

The Stats Behind the Game

Central Player Dynamics

Central Player Dynamics works with all of our games and focuses on detecting disruption in communication between players. Reports related to text and voice communication in games are evaluated using CPD’s systems. Gameplay-specific reports like AFK or intentional feeding (inting) have the individual game teams in charge.

For text reports, the vast majority of reports that run through CPD, there were 120 million games with at least one report which resulted in 13 million games where a transgression was issued. These transgressions resulted in actions ranging from warnings to 365+ day bans, depending on the nature of the transgression and the player’s history of previous transgressions.

League of Legends and Teamfight Tactics

Our League team is currently issuing about 700,000 penalties across text detection, AFK detection, and inting detection.

Leaverbuster, our AFK detection system, monitors every game to make sure players who quit early and impact their teams are punished for it.

We use tiers so players who AFK more receive harsher penalties. And for ranked games where your teammates go AFK, we provide early surrender and LP mitigation so you aren’t punished for your teammates’ tilt.

But leaving is just one option for tilting teammates, the other is feeding. This can be a bit more difficult to track so we use a learning model that tracks seven different data points across all champions to confidently detect when someone is intentionally feeding and not just playing poorly. As we continue to update it, false positives have become extremely rare for the system.

If you want to learn more about how the League team is working on player behaviour, check out this post from earlier in 2022.


In addition to voice chat, VALORANT’s Social and Player Dynamics team is also focused on AFK and inting. Right now, about 27 players per every 1,000 playing VALORANT are showing up AFK. Some of these are bots trying to grind out XP. But we’ve begun seeing these bots end up in lobbies filled with other AFK bots and if no damage is done, no experience is earned.

For players who are still at their keyboard but are intentionally throwing the game, our inting detection currently has one method with another in the works.

The current method takes in all the inputs and decides whether a player’s poor performance was intentional or not after the game. But this method only catches bad actors after the fact, it doesn’t help when you’re down 11 rounds and understandably not having a good time.

So the VALORANT team is working on real-time inting detection. But there’s a lot of gray area when it comes to this issue as bad play can be the result of a lot of potential reasons and intentionally throwing is a small percentage of those. Once the VALORANT team has reduced false positives to a small number, we will roll out this new method which will work alongside the after game detection.

Wild Rift

Wild Rift processes have evolved in 2022. Previously, the AFK detection simply checked to see if players were doing any inputs at all. Because some players were evading this simple detection, we added new layers to truly make sure a player is actually in the game and performing useful inputs, not just moving forward.

2022 also brought a new inting system to Wild Rift which utilizes machine learning to make sure that the reason a player is playing poorly is intentional. Since March 2022 the inting system has caught just under 2,000 instances of intentionally throwing games. As the machine learning, well, learns, this number will likely increase as more inting players are flagged.

And finally, there’s wintrading detection. This looks at a variety of factors including what we call “co-against” players. These are players that are constantly playing with and against the same group of players. By looking at patterns in co-against players, the length of games, and the win-loss record for co-against lobbies, the detection system can identify wintrading.

The Importance of Transparency

Going from one game to a bunch of titles brought plenty of new challenges with it. With more titles on the horizon, we’re working to instill player dynamics thinking in the earliest stages of game design to curate better communities from the jump.

At the same time, we believe it’s important to be transparent about the data we are receiving across all of our titles. These are complicated problems and there’s no way to truly solve them completely. With that being said, we are committed to working to improve the gaming experience for all of our players and will be posting more regular updates about the work we are doing towards that end.

As always, thank you all for playing.

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