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Poker Term

WTSD from MP

WTSD from MP

Term: Mid Position Showdown Rate WTSD from MP In No-Limit Texas Hold'em, the frequency with which a player, after voluntarily entering the pot from the middle position MP, continues to showdown.

Meaning

WTSD from MP is an abbreviation for "Went to Showdown from Middle Position," measuring the proportion of hands a player sees a showdown from the middle position (MP). The formula is: the number of hands that ultimately reach showdown after voluntarily entering the pot from MP (i.e., by betting or raising, not by calling a blind or folding) divided by the total number of hands voluntarily entered from MP. This metric excludes passive entries (e.g., just calling a blind) and focuses on pots where the player took the initiative.

Interpretation

  • High WTSD from MP (e.g., above 40%): Indicates that after entering a pot from MP, the player tends to take hands to showdown, likely holding strong hands or lacking the ability to fold. Such players often have a strong sense of pot protection but are vulnerable to bluffs from opponents.
  • Low WTSD from MP (e.g., below 20%): Suggests that the player frequently folds on later streets after entering a pot from MP, possibly preferring to use positional advantage for continuation bets or only going to showdown with strong hands. This can be a trait of aggressive or tight-aggressive players.

Application

When analyzing WTSD from MP, combine it with other statistics (such as VPIP, PFR, Aggression Factor) for a more complete picture. For example:

  • If a player has both a high VPIP from MP and a low WTSD, it suggests a wide entering range but only strong hands at showdown—possibly a player skilled at bluffing or exploitative play.
  • If both VPIP and PFR are low, but WTSD is high, the player may be passive, only entering pots with strong hands and taking them to showdown.

Note that WTSD from MP only counts hands voluntarily entered and does not reflect hands where the player completely folded. Additionally, baseline values vary by game environment (e.g., cash games vs. tournaments, different blind levels), so analysis should consider the specific opponent sample.

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