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Poker Term

UTG WWSF

UTG WWSF

Term: UTG Win When See Flop UTG WWSF Refers to the frequency at which a player, after open-raising from the UTG position, sees the flop and ultimately wins the pot.

Overview

[UTG] WWSF (Under the Gun Win When See Flop) is a poker statistic that measures the percentage of pots a player wins after seeing the flop when they voluntarily raised from the UTG (under the gun) position. This metric is usually expressed as a percentage and reflects a player’s post-flop profitability and skill after raising from early position.

Calculation

UTG WWSF = (Number of pots won after seeing the flop following a UTG raise) ÷ (Total number of pots seen after a UTG raise) × 100%.

Note: This statistic only includes hands where the player voluntarily raised preflop and remained in the hand on the flop. It excludes hands where the player folded preflop or folded on the flop before the stat is recorded.

Typical Range

  • In a standard 6‑max game, a winning player’s UTG WWSF is typically between 40% and 50%.
  • A value below 35% may indicate that the player’s UTG raising range is too wide or that their post‑flop skills are lacking.
  • A value above 55% may suggest the range is too tight, or that opponents are not effectively countering the player.

Strategic Significance

UTG WWSF is an important metric for evaluating a player’s aggression from early position. A high WWSF suggests the player effectively capitalizes on post‑flop advantages to generate profit, while a low WWSF signals a need to adjust starting hand selection or post‑flop play. Note that this statistic is influenced by game type, opponent skill level, and other factors; it should be analyzed alongside other stats such as [VPIP], [PFR], and continuation‑bet frequency.

Limitations

UTG WWSF only reflects outcomes and does not directly indicate whether a player’s decisions are correct. For example, a player might achieve a high WWSF over a short period due to luck, or artificially inflate the number by folding many hands. Therefore, this statistic requires a large sample (typically tens of thousands of hands) to be meaningful.

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