Stats for Population: One player, Kin_1st. Kin_1st joined the game in December 2020 and has played a total of 166 games. With a win rate of 13.9%, Kin_1st has achieved 23 victories. Their K/G (kills per game) stands at 1.0, resulting in a total of 162 kills. Averaging 182 damage per game, they have dealt 30,281 damage. Their loot collection averages 37 per game, contributing to a career total of 6,091.
As a three-star player, Kin_1st stands among the elite in Population: One. Their exceptional performance and remarkable statistics place them at the top of the leaderboard. With a high win rate and kill count, Kin_1st consistently dominates in matches, showcasing their advanced skills and strategic prowess. Each game is an opportunity for Kin_1st to demonstrate their mastery of the game, making significant contributions to their team’s success.
Kin_1st’s gameplay is characterized by precise tactical decisions, excellent teamwork, and an ability to adapt to any situation. They frequently secure high-kill games and deliver outstanding performances, reflecting their deep understanding of the game mechanics and strategies. This level of play is a testament to their dedication, practice, and natural talent.
Achieving a three-star rating is a significant milestone, marking Kin_1st as a respected and formidable presence in the game. Their journey to this level has been marked by continuous improvement and a commitment to excellence. This rating is not just a reflection of their skill, but also of their hard work and perseverance.
Overall, Kin_1st is a player who exemplifies the pinnacle of skill and strategic thinking in Population: One. Their journey from lower ratings to a three-star level shows their commitment to mastering the game and their ability to excel in high-pressure situations. Keep watching Kin_1st as they continue to push their limits and strive for even greater success in the competitive world of Population: One. Their achievements and leadership set a high standard for gameplay, inspiring others in the community to aim for similar excellence.