
Why preflop frequencies matter to your long-term win rate
You can memorize opening ranges, but if you ignore frequencies you’ll miss the real edge. Preflop hand frequencies describe how often you include a particular hand or action in your strategy. When you think in frequencies rather than binary “play/fold” choices, you mix actions, avoid predictability, and make your ranges harder to exploit — which is essential at higher stakes.
As a serious player, you need to understand both the math behind those frequencies and how to apply them: how many combinations of a given hand exist, what percent of the total population they represent, and how to convert that into opening, calling, or 3-betting percentages that reflect position, stack depth, and opponent tendencies.
How combos, equivalence classes, and percentages work
Start with the fundamentals so you can translate solver output or a chart into practical play. Two-card starting hands in Hold’em can be considered in two ways: raw combinations (all unique suit arrangements) and hand-types (equivalence classes by rank and suitedness).
- Total combinations: There are 52 choose 2 = 1,326 unique two-card combinations in the deck.
- Equivalence classes: You commonly work with 169 hand-types: 13 pocket pairs, 78 suited rank combinations, and 78 offsuit rank combinations.
- Combos per hand-type: A pocket pair has 6 combos (e.g., AA: ♠A♥A, ♠A♣A, …), a suited hand has 4 combos (e.g., A♠K♠, A♥K♥, …), and an offsuit hand has 12 combos.
To convert combos into a percentage of all possible starting hands, divide the combos by 1,326. For example, a single offsuit hand-type (12 combos) is 12/1,326 ≈ 0.9% of all random dealt hands. If you open 20% of hands from cutoff, that means you include 0.2 × 1,326 ≈ 265 combos in your opening range; you can construct that range by summing combos for each included hand-type until you reach the target.
Interpreting frequencies: an example and practical notes
Frequencies appear in two ways: range frequencies and action frequencies. Range frequency is how often you open (or defend) with a full set of hands. Action frequency is the percent you take a particular line with a single hand-type — e.g., 70% raise, 30% limp with AJs in the cutoff. Solvers will often return mixed strategies where a hand-type is included partially; translate that to practice by randomizing or approximating using simple rules (e.g., mix by suits or by small deterministic cues).
- Example: When a solver says “open 18%” from button, you should aim for ~238 combos in that range and know which hand-types contribute most of those combos (broadways, suited connectors, some pairs).
- Practical tip: use combo counts to adjust to opponent tendencies — if an opponent folds too much to 3-bets, increase the 3-bet frequency by adding offsuit combos rather than removing suited ones that keep postflop equity.
With these concepts clear — combos, equivalence classes, and the difference between full-range and per-hand action frequencies — you’re ready to build and refine specific opening, calling, and 3-bet frequency charts and learn how solvers iterate toward balanced frequencies. In the next section, you’ll see step-by-step examples of building a 15–25% opening range and turning solver frequencies into simple rules for in-game use.

Building a 15–25% opening range, step by step
If you want a practical 20% opening range (≈0.20 × 1,326 ≈ 265 combos) you should build it by categories — not by rank-ordering every single combo. That keeps postflop playability balanced and makes later adjustments intuitive. Here’s a reproducible method:
1. Anchor with pocket pairs. Include every pair or at least 66+ depending on your comfort. All 13 pairs = 13 × 6 = 78 combos. Pairs provide raw equity and set-mining options, so they’re a good backbone.
2. Add suited broadways and Aces. These are the top postflop hands: AKs, AQs, AJs, ATs, KQs, KJs, QJs = 7 × 4 = 28 combos. Suited A2s–A5s are also highly playable (4 × 4 = 16 combos) because of wheel potential and ace-blocker value.
3. Add offsuit broadways. Include AKo, AQo, AJo, KQo, KJo, QJo = 6 × 12 = 72 combos. Offsuit broadways add showdown value and top-pair potential.
4. Add suited connectors and one-gappers for balance and multiway playability. Choose e.g., 98s, 87s, 76s, 65s, 54s = 5 × 4 = 20 combos; add a few one-gappers such as 97s, 86s = 2 × 4 = 8 combos.
5. Fill remaining slots with convenient offsuit broadway and suited Kx/KxAx combinations (e.g., ATo = 12 combos, KTo = 12 combos).
Example sum (approximate): pairs 78 + suited broadways 28 + offsuit broadways 72 + suited Axs 16 + suited connectors 20 + a couple of offsuit broadways (ATo + KTo = 24) = 238 → add a few extra suited connectors or KQs variants to reach ≈265 combos.
Why this order? Suited and connected hands contribute more to postflop maneuverability. When you want to trim to a tighter range, start by removing offsuit broadways and low suited one-gappers; when you want to widen, add offsuit Kx and lower suited connectors. Always keep an eye on the combo count so you’re building toward the percent target rather than memorizing a fixed list.
Turning solver mixes and frequencies into simple in‑game rules
Solvers give mixed strategies (e.g., AJs: 70% raise, 30% limp/flat). You need simple, repeatable rules that approximate those mixes in live or online play. Use one of these practical systems:
– Suit-based deterministic mixing: assign suits to actions. For a 70/30 split, raise with the two spade and heart combos (2 of 4 suited combos) and flat the remaining two. If suits run out, follow a fallback (e.g., always raise with highest-card suits). This is easy to apply and preserves exact combo frequencies.
– Randomized seed rule: use a small mental or phone-based randomizer. For each hand-type that’s mixed, flip a coin or use a pre-set list (e.g., raise on odd-numbered seconds on the clock). Over many hands this approximates solver ratios and prevents exploitability.
– Quality-bucket method: split a hand-type into “raise” and “call/fold” buckets by obvious card quality — raise with combos that include a big blocker (AKs/AKo, AQs), call with weaker combos. For example, if solver says 40% 3-bet with a hand-type, select the top 40% of combos (by blockers and suitedness) as 3-bets.
Applying this to 3-bets and defenses: build your 3-bet range around blockers and equity first (AK, AKo, AQs, AQo, some suited Broadway and Axs). If your target 3‑bet frequency is low (4–8% vs an open), prefer offsuit combos and A-blockers that remove your opponent’s best holdings; if you need to increase 3-bets, add more offsuit broadways rather than removing playable suited hands from your calling range. Conversely, when defending vs 3-bets, prioritize suited combos and mid pairs to keep postflop play balanced.
Use these rules consistently for several sessions, then compare the realized frequencies (and results) to solver recommendations — iterate by swapping specific combos (offsuit for suited or vice versa) rather than changing whole categories. That small-step approach preserves balance while remaining practical at the tables.

Putting frequencies into practice
Turn study into habit. Set small, measurable goals (e.g., implement one mixing rule for two weeks, track your 3-bet frequency vs. one opponent for 1,000 hands) and review results. Use a consistent, simple system at the tables so you don’t freeze under pressure; then use solver work and hand reviews off-table to refine the system. Keep adjustments incremental — swap a few combos at a time rather than overhauling whole ranges — and prioritize learning how to recognize when to stick with balanced frequencies and when to exploit specific opponents.
- Daily/weekly routine: brief solver review (30–60 minutes) + a focused table session applying one new rule.
- Implementation rule: pick one mixing method (suit-based, randomized seed, or quality-bucket) and use it exclusively until it becomes second nature.
- Tracking and review: log your realized opening/3‑bet/defend frequencies and compare to targets; adjust using combo swaps rather than category flips.
- Resources: combine hand-history review with targeted solver drills — for example, practice a common spot in PioSOLVER or an equivalent tool to see how small frequency changes affect ranges.
Developing intuitive comfort with frequencies is a long-game skill: be patient, iterate deliberately, and emphasize reproducible rules at the table over trying to perfectly recall solver output under pressure.
Frequently Asked Questions
How do I practically implement a solver mix (e.g., 70/30 raise/call) during live play?
Use one simple mixing method and stick with it: suit-based deterministic mixing (divide the 4 suited combos by suits), a quick randomized seed (coin flip or mental timer), or a quality-bucket (raise with combos that have the best blockers/equity). Consistency across sessions preserves the intended combo frequencies and reduces exploitable patterns.
How can I quickly count combos to build a target opening percentage at the table?
Remember the combo counts: pairs = 6, suited = 4, offsuit = 12. Multiply those by the number of hand-types you include to reach your target combo total (e.g., ~265 combos ≈ 20% of 1,326). Build by categories (pairs, suited broadways, offsuit broadways, suited connectors) and stop when you’re near the target; tweak with small additions or removals to hit the exact percent.
When is it correct to deviate from a balanced frequency and play exploitatively?
Deviate only when you have clear, consistent reads (opponent folds/raises/calls at abnormal rates) and enough hands to trust the sample. Make targeted, minimal changes — add offsuit combos to widen a 3‑bet against an opponent who folds too much, or tighten by removing low-offsuited hands versus an aggressive defender. Always monitor results and be ready to revert to a balanced strategy if the opponent adjusts.




