PLO Waitlist or NLH Open Seat: A Bankroll Decision Framework

The Scene

You walked into the room for PLO and there are eight names ahead of you, but two NLH tables have open seats. Do you sit or wait?

This isn't a hypothetical. On May 19, Aria's 1-2 PLO game had a waitlist eight players deep with only two tables running. The same night, TCH Social Las Colinas in Irving, Texas, showed eight players waiting for a single $2/2 PLO table. At the Venetian, six players were queued for $1/2 PLO with zero tables even open yet. And at Rivers Casino in Des Plaines, Illinois, fifteen names crowded a waitlist for 1-2 PLO across just two tables.

PLO demand is outstripping supply in rooms nationwide. The question every PLO player faces on a busy night is whether the wait is worth it, or whether sitting in an available NLH game is the smarter play.

Framing the Decision: Opportunity Cost per Hour

The core concept here is opportunity cost of dead time. Every minute you spend on a waitlist earning $0/hour has a price, and that price equals whatever you could be earning at the NLH table.

Let's build a simple model. Suppose you're a winning PLO player at $25/hour and a modest NLH winner at $10/hour. If the PLO wait is 90 minutes, sitting idle costs you $15 in lost NLH earnings (1.5 hours × $10). You need to recover that gap once you finally sit down.

At a $15/hour edge in PLO over NLH ($25 minus $10), you'd need one full hour of PLO play after being seated just to break even against the player who walked straight to NLH. If your session is only three hours total, you spent half of it waiting and have a slim window to pull ahead.

Estimating Wait Time from Waitlist Depth

Waitlist depth alone doesn't tell you how long you'll wait. The number of running tables matters enormously.

Consider two of the rooms from the same snapshot. Aria had eight players waiting across two active PLO tables. Seats open when players leave running games, so two tables generate turnover roughly twice as fast as one. At TCH Las Colinas, eight players waited for a single table. Same list depth, but likely double the wait time in Texas.

Then look at the Venetian: six players waiting, zero tables open. That list doesn't move until the room decides to spread a new game. Your wait could be 30 minutes or two hours, depending on whether enough players on the list have chips ready to go.

Rivers Casino presents yet another scenario. Fifteen players waited for two tables with a median waitlist of five. That ratio of 3x the median signals a genuine surge, not a normal busy night. When a waitlist balloons that far above its median, historical patterns suggest the room may open a third table, which would accelerate seating dramatically.

The Variables You Should Weigh

• Your win rate gap. If you break even at NLH, every minute at the table is worth $0 and you should wait for PLO regardless. If you're a solid NLH winner, the calculus shifts.
• Number of active tables. More tables mean faster turnover. Eight deep on two tables is far less painful than eight deep on one.
• Whether a new table might open. A waitlist at 3x its median (like Rivers at 15 vs. a median of 5) often triggers a new game. That can cut your projected wait in half.
• Session length remaining. If you only have two hours left, even a 45-minute wait eats nearly half your PLO runway. The shorter the session, the more you should favor the available game.
• Tilt and focus. Waiting breeds impatience. Sitting in a game you didn't plan for can breed frustration. Neither state prints money.

The Heuristic

Here's a rule of thumb you can carry into any poker room:

Divide the waitlist depth by the number of running tables. If the result is four or higher and your remaining session is under four hours, sit in the available NLH game. If it's under four, put your name up and grab a coffee.

At Aria (8 ÷ 2 = 4) with a short session, NLH is the right call. At Rivers (15 ÷ 2 = 7.5), it's an even clearer sit. At a room showing 3 waiting on 2 tables (ratio of 1.5), wait it out.

The best session is the one where every hour has a positive expected value. Dead time on a waitlist is the one leak no strategy article can fix after the fact.