Poker player

Kevin Ballard

United States

American poker player, ranked 40,702nd in the world, with career earnings over $73,000. Known for a steady style, achieved results in multiple tournaments.

Career earnings: $ 7,5137 views

Player Overview

Kevin Ballard, a poker player from the United States, currently ranked 40,702nd in the world, with career earnings totaling $73,078. He is active in various poker tournaments, having established a place in the poker world through solid fundamentals and consistent performance.

Career and Major Achievements

Kevin Ballard's career began in online poker before gradually transitioning to live events. He has cashed in multiple small to mid-sized tournaments, including side events in the WSOP series and WPT satellites. Although he has yet to win a major title, he has repeatedly demonstrated strong hand-reading skills in competitions, accumulating a respectable record of earnings. Detailed results from specific events are not publicly available.

Playing Style

Kevin Ballard's style leans toward conservative and steady, with an emphasis on starting hand selection and post-flop position play. He excels at using positional advantage for value betting post-flop and is capable of timely folds to avoid significant losses. Against aggressive opponents, he often adopts a strategy of waiting for strong hands to avoid unnecessary variance.

Anecdotes and Tags

There is limited public information on Kevin Ballard's anecdotes. He is not a high-profile player, but due to his consistent profitability, he is regarded by some in the poker community as a representative of "grinder"-type players. Tags include: steady, low-profile, long-term profitability.

Learning Insights

What can be learned from Kevin Ballard: Poker is not just about skill; it is also a game of bankroll management and mindset control. Through strict discipline and patience in waiting for opportunities, he demonstrates the importance of sustained profitability. For amateur players, imitating his conservative strategy can effectively reduce variance and gradually build experience.

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