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Poker Term

Fold to Check-Raise from UTG

Fold to Check-Raise from UTG

Term: Fold to Check-Raise from UTG Statistics on how often a player folds when they have bet from the UTG Under the Gun position and then face a check-raise from an opponent.

Overview

Fold to Check-Raise from UTG is a Texas Hold'em HUD (heads-up display) statistic that measures the likelihood a player folds when their bet is check-raised after they opened from the UTG position. This metric is typically expressed as a percentage, where the denominator is the total number of times the UTG player faced a check-raise after betting, and the numerator is the number of times they folded.

Typical Range and Interpretation

  • Low fold rate (e.g., below 40%): Indicates the player tends to call or re-raise when facing a check-raise after betting from UTG, possibly holding a strong hand or having an aggressive postflop style.
  • Medium fold rate (40%-60%): A common range where players make balanced decisions based on board texture, opponent tendencies, and their own hand strength.
  • High fold rate (above 60%): Suggests the player is easily forced to fold by a check-raise after betting from UTG, which may indicate a narrow preflop range or insufficient protection of their continuation bets. Opponents can exploit this with re-steals.

Strategic Implications

  • Against opponents with a high fold rate: More frequently use check-raises from advantageous positions (e.g., BTN or CO) to punish their continuation bets, especially on wet boards or when their range contains many air hands.
  • Against opponents with a low fold rate: Reduce check-raise bluffs against their bets. Instead, opt for value raises or check-calls and wait for a better opportunity to raise.

Notes

  • This statistic applies only to the UTG position and requires that the player bet on the flop (usually a continuation bet). A sufficient sample size (generally at least 20 occurrences) is needed for meaningful analysis.
  • Consider board texture, opponent ranges, and game dynamics to adjust interpretations, avoiding over-reliance on a single data point.

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