Players may spend hours studying to successfully navigate harder pots. Players who have clean graphs of decision making aren’t necessarily the ones playing better poker. They’re the ones playing against better opponents.
Poker table selection is when theory turns to real winnings. Theory also changes from an abstract concept to a real world view as stack sizes become absurd, preflop sizes show fear or ego, players chase feelings instead of expected value, and one or two players in the table begin to kill off the rest of the table with the potential to earn a paycheck.
Below are the “practical” aspects of poker table selection — numbers, examples, patterns — of how good players choose which tables to sit in and when a table that appeared to be a good opportunity, was likely already lost.
Poker Table Selection Key Highlights
What “Good” Looks Like in Terms of Numbers, Not Emotions
There are a few metrics available in online poker at most stakes that indicate table level factors that relate to mistake density. While none of these are effective on its own, collectively they appear to provide a relatively reliable measure of table quality.
One of the more useful measures of table quality is the players seeing flop metric. For many online NLHE environments, seeing a flop rate below the low 20s typically indicates tighter or more aggressive (reg) heavy games. As the flop rate increases above the mid-to-high 20s, you’ll find some evidence of looser play. Once you hit the mid-30s to 40s, you’ve likely found at least one seat that’s pushing too many flops.
In PLO, due to the nature of the game, the base flood of seeing a flop is much larger. Therefore, a “normal” PLO table could easily see a flop rate in excess of 30%. Where you see the table is regularly flooding the flop in excess of this range for the given stakes and format is where you’ll find the greatest opportunities for profit.
Another somewhat noisy, but still useful measure is the average pot size. While average pot size can fluctuate based on a variety of factors (i.e., a bad beat), it provides insight into the overall activity level of the table. In NLHE cash games, a table that averages approximately 8–12 big blinds per hand over a reasonable sample size is generally considered more active than a table that averages 4–6 BB/hand.
PLO games are similar, however the pots build much quicker and therefore what’s important is that the average pot size remains high, assuming there are no obvious Reg Wars driving this.
While a long wait list can be an indicator of a good table (many players are interested in targeting the weakest link), it does not always work this way. A long wait list can be indicative of a player who is very easy to target and therefore many strong players are willing to wait. If the table appears to be active and there is little to no wait list, it is possible that while the table is active, the players are simply not being targeted and therefore can be beaten.
Perhaps the most valuable “data” is behavioral, specifically,
how pots develop, who develops them, and how often the resulting showdowns seem to defy logic.
Examples of Actual Tables
For example, consider two online NLHE 6max tables at the same stakes.
Table A sees the flop at a rate of approximately 22% and the average pot is approximately 5–6BB. In the previous orbit, the table saw a typical preflop opening, a 3bet, a cold 4bet, and two players folded to a small turn barrel with a small amount of aggression. This type of table can be beaten, however beating such a table is generally an efficiency game. Small margins, a lot of pressure, and less margin for error.
Table B sees the flop at a rate of approximately 34%, and the average pot is approximately 10–12BB. In the previous orbit, you witness: a limp call, a second limp call, and then a small raise with two callers, followed by a flop that has three players putting chips into the center and one player shows down second pair with a marginal kicker after receiving a large bet. You do not need a poker solver to recognize that there is a problem here. This table is paying to satisfy your curiosity.
Here is another example: an online PLO table.
Table C is “busy” by the numbers and sees a lot of pots, and there are many 3bets. However, the majority of the action comes from two seats that are clearly comfortable in their game. Their 3bet sizes are consistent, and their postflop actions make logical sense. Additionally, when they do get to a showdown, the hands they show down are logically consistent. This table is exciting to look at, but is quietly taxing your winrate.
Table D looks less “professional.” One player is entering pots with odd stack sizes (for example half a buy-in, then two-thirds of a buy-in, and then suddenly topping up after losing a pot). His pre-flop actions are all over the board – he calls flops that he should fold/3bet, and then pots flops too frequently, and folds too many turns at a high frequency. Even without perfect numbers, that is a leak profile of behavior. That is where PLO profits are generated.
Live Poker Examples
Live poker examples are just as clear.
An example of a full ring table at a casino has one player who continually rebuys at half his original buy-in and then immediately rebuys again within 20 minutes of losing a couple of medium sized pots. Another player is saying out loud that he cannot fold top pair. A third player is sharing hands with the table so others can share in his social experience.
The game is moving rapidly, both because the dealer is working efficiently, and players are splashing. This table is a compounding machine – the leaks fuel the excitement, and the excitement fuels the leaks.
Compare this to a different live table: every player is buying in for the maximum, and the stacks are neat and orderly, and the players are quiet. Every time a pot grows, it is because two or three players are applying pressure to each other with strong ranges. The show downs are rational. No one is emotionally involved. This table can still be beaten, but it is unlikely that the largest hourlies will be earned at this table.
In every profitable table, the money goes into the pot for reasons that are not structurally sound, and the players don’t adjust.
How to Determine if a Table Is Worth Sitting At With No HUD
Without a HUD, a short observational period can expose more than many players realize.
Pre-flop sizing tells you a lot. A table that consistently uses small, uniform preflop sizing is probably trained. A table with variable preflop sizing (min-raise, then 4x, then limp, then 6x) is likely to include emotion and uncertainty. This does not mean the table is automatically profitable, but it does mean the players are using non-standard decision-making processes.
Repeatedly seeing players cold-calling in situations that generate multi-way pots (especially from OOP) is a major structural indication of a table producing value. Strong players do cold-call, but they do so with intentionality and predictability; the recreational cold-call is more like “I want to see one.”
Showdowns are perhaps the best “free insight” in poker table selection endeavors. Seeing two or three showdowns can be sufficient to distinguish a player who has a strategy from a player who has an emotion. Repeated showdowns that result in third pair, weak draws that were called incorrectly, or calling rivers with hands that rarely beat are all indications of decision-making frameworks that will repeat.
Timing is also important online. Instant snap-calls to scary rivers, instant pot-sized bets in the same situations, automatic check-calls are often indicative of pattern play, rather than thoughtful play. Many pattern players can be very profitable since they do not adapt quickly to opponents adjusting to them.
The Table Can Look Great and Still Be Wrong for the Seat
A “great” table from the wrong seat can be a frustrating table.
This is where a lot of poker table selection mistakes occur, particularly in online poker.
A common example: there is one obvious mistake-heavy player, and the two strongest players are directly to his left, and are constantly isolating and pressuring him. From two seats out of position, you can turn the table into a leak. The best seat is not “at the table”, it’s relative to the mistake density.
If the pressure guy sits on your left and the biggest value-provider sits on your right, you are forced to play smaller pots, lose equity by folding more frequently, and make fewer profitable river decisions. The table still appears active; your results do not.
Advanced Strategy: The Pre-Sit Reads Strong Players Use That Most People Miss
While poker table selection does involve finding the obvious recreational player, it’s much more than that. When we find the right table, we’re not just looking for the player that will create a “profitable” environment for us, but rather who creates the “best” environment for us before the game gives away it’s secrets.
One of the strongest table reads is how players manage their stacks.
The best regulars (regs) are boring – they top up quickly, they maintain a constant stack size, and their actions never change after a pot.
Players who take a while to reload, stay in a stack range that makes no sense, or change buy-in sizes based on their last few results are showing signs of emotional constraints.
Emotional constraints cause players to set “thresholds”, such as “I’m not folding this,” “I’m not calling that,” or “I’m not bluffing here.” These thresholds can be taken advantage of by playing to them.
Another advanced table read is how a player reacts to unexpected aggression. Look at a single hand where a player was faced with an unexpected raise or three bet that changed the game. Did their reaction time slow significantly? Are they choosing a bet size that looks fearful? Do they flat call and then act like they don’t know what to do after the flop? A skilled player can handle surprises without their line collapsing. A less skilled player will show themselves immediately when the situation is no longer routine.
Bet sizing “fingerprints” are underrated. Some players have a “one-size-fits-all” style of betting: flop pot, turn half pot, river jam. Other players only overbet when they have a strong hand, or only when they are bluffing, and it shows quickly if you pay enough attention to their bet sizing. A player who has a rigid bet sizing “print” can be played against more easily than a player who has a lot of variation in their bet sizing, even if the player with a rigid bet sizing pattern appears more aggressive and “dangerous”.
Whoever controls table “shape” is another good read. In many games there is one seat that is taking the initiative the majority of the time – opening too many hands, straddling too often live, forcing limped pots into raised pots, etc., or always wanting to “keep the action going”. This may be a strong reg, or this may be a gambler. The difference will show in how they react when called, how they react when they lose a pot, or how they chase momentum. The player(s) that control the table shape and cannot adapt to counter resistance are the ones that give away money to everyone else at the table.
Lastly, the “predator density” read. When a table has a number of strong players that are coming and going from the table, and they’re constantly adjusting their position at the table, it usually means the table is being hunted. That doesn’t necessarily mean the table is bad, but it changes the math: the money is being fought for, the pots cost more money, and the seat at the table is now more important than the table itself. In these types of situations, the value comes less from “there is a fish,” and more from “who is seated where when the mistakes happen.”
At the tables, the equivalent would be to see how people react after losing. Some players will tighten. Some players will go on a tear to try to recoup their losses. Some players will become averse to folding. Some players will begin to talk negatively about their bad luck and try to get revenge. All of these reactions are not personality traits, but rather predictors of future decision-making.
Finally, one of the simplest, yet most reliable pro-level table reads is to simply see who is paying attention. A player that repeatedly asks for clarification on action, is missing the dynamic of the preflop action, or is socially engaging instead of strategically engaging will miss patterns that are critical to your success. Missing patterns = repeating mistakes. Repeating mistakes = providing you with the only true source of fuel for profit.
When the Data Says to Go, but the Table Is Still Not Worth It
Sometimes a table may appear to be a perfect table, but still produces subpar results due to the fact that the mistakes are very small and are punished quickly. At that point, the importance of “edge clarity” comes into play.
A table that is truly good, and therefore provides a great opportunity for profit, will provide a clear picture of why the table is so profitable. The mistakes made by the players at the table will be evident and repetitive. The pots will be constructed incorrectly, and the players who are building the pots incorrectly will either not adjust quickly enough, or will not adjust at all.
On the other hand, a table that is a “marginal” table, and therefore provides a relatively weak opportunity for profit, will provide a somewhat theoretical explanation of how the table is profitable. The edge provided by the table will depend upon you being able to outplay the competent opponents at the table in marginal spots, or “being better” overall, but with little evidence of mistake density to capitalize on. While this type of table may provide a good opportunity for growth, it is unlikely to maximize your hourly earnings.
The Bottom Line of Poker Table Selection
Poker table selection is not a trick; it is simply an ongoing process of reading which players are making what mistakes, how expensive each mistake is, how often they occur, and if the seat at the table allows for the exploitation of those mistakes.
Ed Miller approaches poker as a problem of environment and opponent behavior, arguing that long-term profit is driven more by game selection and mistake density than by technical precision alone.
The best games may not be the ones that seem like a big explosion, but rather the ones that look like normal tables where the same irrational decisions continue to occur, and none of the players realize that those irrational decisions are the entire economy.
Online poker table selection is crucial, and using club-based poker apps in which the majority of the tables are recreational players drastically reduces the time needed to select the perfect table.
