Reddit user u/Bocii shared data from his Telegram bot that tracks FACEIT players. The numbers show that most matches end late at night. They also show that K/D drops at one specific hour.
This is interesting because it tests the idea that players perform worse at 3am. It also shows how small the player pool gets in the early morning.
What the Bot Collected
The bot pings users when a tracked FACEIT player finishes a match. From 21 May to 27 September 2026, it logged more than 71,800 finished matches from 331 players. The bot now has 175 users, and about 120 of them came from the author’s previous Reddit post. However, the sample is skewed, because every player was tracked for a reason.
Donk is the most tracked player with 12 users, while m0nesy is second with six. The average elo of tracked players is around 2,500, so the bot mostly attracts high elo users.
Peak Hours, K/D and Requeues
The busiest time is 21:00 to midnight CET, when about 7% of all matches end each hour. In contrast, from 5am to 10am the share falls below 2% an hour. As a result, the author warns that an instant requeue in the morning often brings the same players back.
Average K/D stays between 1.03 and 1.08 for most of the day. However, between 8am and 9am it drops to 0.99.
Players also requeue fast. In 53% of cases, the next match ended within 55 minutes of the last one, while a match lasts about 40 minutes. A third of sessions are a single game, and the median is two games. The top 10% most active players play six or more games in a row.
What Players Use It For
The author says people mostly use the bot to avoid the same thrower or toxic teammate twice in one night. The bot is free for now, but he may add a paid tier because hosting is getting expensive. He also asked for feedback and is thinking about a browser extension.
Conclusion
According to u/Bocii’s Reddit post, tracked FACEIT players are most active from 21:00 to midnight CET and least active in the early morning. K/D stays stable through the day, with the only clear dip of 0.99 at 8am. The sample covers only 331 tracked players, so it does not describe all of FACEIT. Still, it gives a useful look at queue habits at a high level.
