PFR in Poker: Understanding Preflop Raise Frequency

PFR means preflop raise: the percentage of tracker-defined preflop raise opportunities in which a player raised. When you see PFR in a HUD—the on-table display of tracked poker stats—or a tracker report, it describes an action frequency, not the player who raised in one particular hand. The basic definition appears in the PokerTracker HUD guide.

PFR helps you understand how often a player chose to raise in the situations observed. On its own, it does not reveal current hand strength, decision quality or future results.

How Is PFR Calculated?

For an illustrative calculation, divide the number of hands with a preflop raise by the number of eligible raise opportunities, then multiply by 100. Check your tracker's documentation for its exact opportunity rules.

PFR = hands with a preflop raise / eligible raise opportunities × 100

The denominator is not necessarily the total number of hands dealt. For example, if a player faces an all-in and can only call or fold, raising may be unavailable. PokerTracker excludes such situations from the PFR denominator. The distinction between hands and opportunities is discussed in this official PokerTracker support response.

Worked example with an explicit denominator: a player raised in 18 hands across 100 eligible raise opportunities.

18 / 100 × 100 = 18%

Here, 18% is exact, so rounding to a whole percentage does not change it. The 100 opportunities are used only for illustration—not as a recommended sample size or a reliability threshold.

Which Actions Count Toward PFR and VPIP?

Raises count toward PFR; calls and limps do not. VPIP covers all three ways of voluntarily entering a pot preflop. Posting a forced blind alone does not count as voluntary participation. Both stats are defined in the PokerTracker basic HUD guide.

This table describes actions, not a guaranteed relationship between the displayed percentages. A tracker may use a different set of opportunities for each stat.

PFR can exceed VPIP without being an error. The official PokerTracker troubleshooting guide gives a two-hand example showing VPIP of 50% and PFR of 100% because the opportunity denominators differ. Do not compare the percentages on the assumption that both use the same denominator.

Together, VPIP and PFR may hint at whether an observed player tends to enter pots through calls or limps rather than raises. First, check the source tracker's definitions. The VPIP–PFR gap describes a numerical difference; by itself, it proves neither passivity, weak play, profitability nor a particular hand.

How Does PFR Differ from RFI, and Why Does Position Matter?

Raise first in (RFI) measures a first raise when the action has folded to the player; overall PFR also includes raises after another player's raise. Opening frequency and overall preflop raise frequency are therefore different stats.

To assess play from a particular position, use position-specific stats. Overall PFR combines different situations and cannot replace the opening frequency for a specific seat. The preflop hand ranges guide explains position and opening ranges, but it should not be used to infer universal positional PFR targets.

What Is a Good PFR?

There is no universal good PFR percentage. Interpret it in the context of the game format, position, stack depth, antes, prior action, sample size and the software's opportunity rules.

Do not use a single percentage as a ready-made assessment of a player. First establish which situations the stat includes, then check how many relevant opportunities were observed. The same overall PFR can conceal different opening and re-raising frequencies.

How Does Sample Size Affect PFR?

More relevant opportunities can produce a narrower confidence interval. There is no universal hand count after which PFR becomes reliable: total hands and eligible raise opportunities are not always the same.

For a model with 18 raises across 100 independent opportunities, the 95% Wilson score interval is 11.7%–26.7%, with a half-width of 7.5 percentage points. The endpoints and half-width are rounded to one decimal place. The method is described in the NIST handbook.

This estimates uncertainty in the frequency under the stated model. It is not an interval for playing skill or future results. The 100 opportunities remain an illustration, not a minimum threshold.

How Can You View the PFR Confidence Interval in Our Tool?

The HUD Stats tool provides an illustrative approximation of the width of a PFR confidence interval. It assumes one PFR opportunity per entered hand, so its Wilson score interval may differ from a calculation based on a tracker's actual opportunity denominator.

To reproduce the screenshot example:

1. Open the HUD Stats page.
2. Find the Opponent Profiler section.
3. Enter 100 in Hands in sample.
4. Enter 23 in VPIP % and 18 in PFR %.
5. Find the PFR row showing the 95% confidence interval.

For these inputs, the tool shows 11.7%–26.7%, ±7.5 percentage points and 100 assumed opportunities. That opportunity count comes from the model's assumption, not from checking hand histories. The ±7.5 percentage points describes the interval's half-width; the Wilson score interval is not symmetric around the entered 18%.

Local English interface capture showing 100 hands, VPIP 23%, PFR 18% and a 95% PFR confidence interval of 11.7%–26.7%, assuming 100 opportunities, one per hand

Local interface capture: 100 hands, VPIP 23%, PFR 18%; approximate 95% confidence interval of 11.7%–26.7%, assuming 100 opportunities, one per hand.

The tool has another limitation: its validation treats PFR above VPIP as impossible. This conflicts with the example in the official PokerTracker documentation. Do not treat that alert or the suggested player profile as a verdict; refer to the source tracker's definitions.

Use the tool to illustrate interval width under the stated assumption, not as a hand-history tracker or a source of strategy. When reading a real HUD, focus on three things: the definition of PFR, its denominator and the number of observed opportunities.