Opening ranges by position exist because the number of players left to act changes your equity, not because a chart says so. Under the gun, five or more players can still wake up with a hand behind you. On the button, only the blinds are left, and they're already getting a price to fold. That's the entire mechanism behind why raise-first-in (RFI) frequency climbs from under 15% up front to nearly half the deck on the button.

  • 📊 RFI climbs by seat, not by luck, published solves show under the gun opening roughly 12-17% of hands and the button 43-50%.
  • ⚠️ Charts disagree with each other, two published range sources put button RFI at 43.3% and 50% for the same 6-max, 100bb spot.
  • 🔍 Your own RFI% is measurable, a parsed hand history gives you a real opening frequency per seat, not a guess.
  • 🎯 A flat RFI shape is a leak, if under the gun and the button open at similar frequencies, one of those two numbers is wrong.

Reading a chart is the easy part. The harder question, and the one this article actually answers, is whether your own play matches that curve. Your hand history already contains the answer. Most players have never pulled it out.

What is an opening range, and why does it change by seat?

An opening range is the set of starting hands a player raises with from a given seat when no one has entered the pot yet. It is a frequency, not a single hand: a player with a 20% opening range from the hijack isn't threatening one specific holding, they're threatening one in five possible hands weighted toward the strong end.

The range widens by seat because the cost of being wrong shrinks as fewer players remain. Raise from under the gun in a 6-max game and five opponents still get to act, several of them with a positional edge over you. Raise from the button and only two players are left, both out of position for the rest of the hand.

Why does RFI widen so much from UTG to the button?

Fewer players left to act means fewer chances someone wakes up with a premium hand and re-raises you. It also means more chances you simply win the blinds uncontested. Both effects push in the same direction: a wider range stays profitable the closer you sit to the button. As Poker Fish Hook's walkthrough on positional ranges puts it, the practical skill isn't memorizing one grid, it's recognizing which seat you're in before you check anything.

What do published opening ranges by position actually show?

Published RFI charts agree on the shape and disagree on the exact numbers, which matters more than it sounds. PokerSkill.com's 6-max chart lists under-the-gun RFI at 14.3% and the button at 43.3%, a roughly threefold jump for the same two hole cards. ToolsGambling's guide to preflop charts, published in 2026, puts the same two seats at about 12% and 50%.

Neither number is wrong. They come from different solver settings (rake, stack depth, opponent pool assumptions) and neither publisher discloses the exact parameters. The lesson isn't which chart to trust: it's that no single percentage is gospel, and a range that's off by five points from a random chart online isn't automatically a leak.

That gap between competing charts is itself a symptom of how crowded the self-study market has become. Trackers such as Statista follow the wider online skill-gaming market year over year, and the number of free range charts and paid solvers now competing for the same search terms is a direct consequence of that growth: more publishers means more disagreement on the exact percentage for the same seat.

Position RFI% (PokerSkill.com) RFI% (ToolsGambling) Typical raise size
Under the gun 14.3% ~12% 2 to 2.5bb
Hijack 18.9% ~23% 2 to 2.5bb
Cutoff 25.5% ~27% 2 to 2.5bb
Button 43.3% ~50% 2.3 to 3bb
Small blind 33.0% ~37% 3bb

SOURCE : PokerSkill.com 6-max opening ranges, ToolsGambling preflop charts guide · MAJ 09/2026

Why do different charts disagree on the exact percentages?

Poker-toolkit.com's guide notes that solver-informed strategies tend to use smaller opens from early position (around 2bb) and larger ones from late position (2.3 to 3bb), because early openers face more three-bets from players still behind them. That sizing choice alone shifts the profitable opening frequency, which is one reason a UTG chart built at 2bb won't match one built at 2.5bb. Rake structure and assumed stack depth move the numbers further still. Treat every published percentage as a reasonable zone, not a fixed target.

How do you pull your own RFI percentage from a hand history?

Every hand where you were first to voluntarily put chips in the pot preflop is a data point. Filter your hand history by position, count how many of those hands you raised versus folded (open-limping barely exists in solver play, so it rarely needs its own bucket), and you have your real RFI% for that seat.

The mechanical part is exporting the file in the first place. PokerStars, GGPoker, Winamax, partypoker, 888poker, ACR/WPN and iPoker-skinned rooms each store hand histories in their own format and location, and several of them (GGPoker in particular) actively discourage the always-on HUDs that used to compute this automatically at the table. A parser built for that specific room's export format is what turns a folder of text files into a position-by-position count; doing it by hand in a spreadsheet works too, it's just slower past a few hundred hands.

Which poker rooms let you export a hand history in the first place?

All seven of the rooms listed above let you request or download your own hand history after the fact, though the button is buried differently in each client. None of this requires anything running during the hand itself. Assistance while a hand is live is real-time assistance (RTA), which every one of these rooms bans and enforces with account closures and fund seizures. Pulling your RFI% is a between-sessions exercise on a file that already exists, exactly like reviewing a full session for leaks.

What does a lopsided RFI shape across positions tell you?

The shape matters more than any single number. Daniel Negreanu's video on range evolution describes the same idea from the other side of the table: a player whose range narrows to almost one combination as a hand develops is easy to play against, because their actions stop matching a believable spread of hands. The same logic applies to your own opening frequencies. If your under-the-gun RFI% and your button RFI% are close together, you're either playing scared money on the button or spewing chips under the gun, and the hand history will show you which.

Brandon Sligh's breakdown of range-versus-range thinking frames the same pattern as pouring water into seven cups, one per seat: the cups should fill in a steady progression from under the gun to the button, not in a flat line and not in random jumps. A hand history that shows your cutoff RFI% lower than your hijack RFI% is a visible break in that progression, and it's the kind of leak that a static chart can't show you because a chart only describes what you should be doing, not what you are doing.

A flat or reversed RFI curve across your own positions is one of the cheapest leaks to find and one of the most expensive to leave alone. Jonathan Little's coaching material makes the same point from the defending side: most small and mid-stakes players simply don't re-raise as bluffs often enough, which is a player-pool tendency you can only confirm by counting, not by assuming.

How many hands do you need before your RFI% by position means anything?

A handful of sessions isn't enough. Preflop frequency stabilizes faster than post-flop win rate because it only depends on your own decision, not on how the hand plays out, but a seat you only sit in occasionally (say, small blind opens after a fold-around, which happen less often than button opens) still needs a few hundred hands before the percentage is worth acting on. The same sample-size math that governs win rate applies here: a 30-hand sample under the gun can show a 25% RFI purely from variance in how often you happened to be dealt playable cards, not from an actual leak.

Once the sample is large enough, though, the fix is specific instead of vague. Knowing that your button RFI% sits at 30% against a solved baseline near 43-50% is a different, more actionable finding than "I should probably play more hands on the button." It also lets you size the cost of that leak in big blinds rather than treat it as an abstract weakness.

The verdict on chasing an exact percentage

There is no single correct RFI% for any seat, and chasing one from a random chart is the wrong exercise. What's worth chasing is the shape: a steady widening from under the gun to the button, confirmed by counting your own hands rather than assumed from memory. The published ranges in this article are a reasonable zone to compare against, not a target to hit to the decimal point. Where your own numbers break that progression, that's the seat to review first.

Frequently asked questions

What is a good RFI percentage from under the gun?

Published 6-max solves put under-the-gun RFI in a range of roughly 12% to 17% depending on rake, stack depth and raise sizing assumptions. There's no single correct number, but a UTG RFI far outside that zone, in either direction, is worth checking against your actual hand history rather than assumed.

Why does the button open so many more hands than under the gun?

The button acts last on every postflop street and only two players (the blinds) are left to act before the flop. Fewer opponents behind you means less chance of running into a stronger hand and more chance of winning the blinds outright, which is why published charts show the button opening three to four times as many hands as under the gun.

Can I calculate my own opening range from my hand history?

Yes. Filter your hand history by position, count the hands where you were first to voluntarily raise, and divide by the number of hands dealt in that seat. A parser built for your specific room's export format speeds this up across a large sample, but it's arithmetic anyone can do by hand on a smaller one.

Does a wide button opening range mean I should call more from the blinds?

Not automatically. Defending wider against a wide opening range is the right direction, but the size of the adjustment depends on how much wider that specific opponent's button range actually is, not a fixed multiplier. Reviewing showdowns from that seat is a more reliable guide than a rule of thumb.

Is using a solver-based range chart at the table considered cheating?

Not if it's studied away from the table. Consulting any tool, chart or solver output while a hand is live is real-time assistance, which every major room (PokerStars, GGPoker, Winamax, partypoker, 888poker, ACR/WPN, iPoker) treats as a bannable offense. Studying opening ranges between sessions, from your own hand history or from published charts, carries no such restriction.

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