Running bad in poker just happens, every player has to deal with it. Having a better understanding of how things can go will help you deal with extended downswings and variance. A poker odds calculator shows you the exact odds of your hand winning in any scenario. For example, you can give yourself pocket Aces, opponent 1 pocket Kings, and opponent 2 pocket Queens. The poker odds software will then calculate how often each hand wins.
Variance calculator available at pokerdope.com comes in two different flavors. The cash game version requires you to input your win rate, standard deviation and number of hands and then presents you with 20 possible samples based on those inputs. In fact, according to Pokerdope’s variance calculations, there is nearly a 50% chance that a small winning poker player (2.5bb/100) will face a downswing of 3,000 big blinds. This variance calculation shows the importance of micro stakes poker bankroll management.
Variance:The Bane of Every Poker Player's Life
The fact or quality of being different, divergent, or inconsistent”
As soon as I first picked up the game back in 2005 it was obvious just how painful my relationship with luck was going to be if I ever wanted to play this game for a living. Looking back from today I really had no idea just how bad things could possibly get. Come to think of it, neither did the entire poker community!
My first poker experience came through online MTTs, and the standard advice back in the day was for professionals to have at least one hundred tournament buy ins in their bankroll. Little did we know that this was to prove way too cavalier. Especially as the games became tougher and tougher.
These days people are now more likely to suggest at least three hundred buy ins for tournaments, and at least fifty buy ins for NL cash games, with PLO needing even more. This is not conservative either, it's supposed to be a basic minimum.
I can say for certain now, as an eleven year veteran of the game that variance is still not understood by the vast majority of casual players. The main problem being that they are not able to play the volume required to ride through the swings in reasonable time, with a downswing lasting months,maybe years rather than weeks for cash game players. Recreational live tournament players will possibly not even manage to play enough over the rest of their lives to get any kind of an accurate understanding of just how good they are.
So how can we better understand the variance we can expect to experience?
What Does a Variance Calculator Do Exactly?
The calculator is a tool which can simulate millions of hands or tournaments, and scientifically show us the results from a best case scenario to the worst case.
It is never going to prove anything with one hundred percent certainty, but it will show us close enough to suit our purposes giving us an idea of just how much luck is involved, and what kind of time scale is involved to play through an average downswing.
By inputting various statistics from our database we will also be able to see over a particular sample size what percentage of the time we can expect to be in profit. Along with advice on required bankroll size to stay within a reasonable risk of ruin percentage.
In today's tougher games, much is being said about how the mental game side of poker is becoming more important to maximize your results.
The Cash Game Variance Calculator
The best application out there today looks to be here.
Let's take a look at how the cash game calculator works.
Here I want to use as an example a recreational player who works full time so only finds time for 25000 hands per month. This player has a decent win rate of 2.5BB/100. Not to be confused with BB/100 which is twice the BB/100 that you need to enter.
Here we can see some samples showing that even being a decent player, over a small sample size of 25000 hands there's still a fairly high chance of losing money.
Pokerdope Rake
There is also a report showing some useful metrics.
As we can see from all this data, 25000 hands for many casual players can take quite a long time to play, and even if they know they are decent enough to win well in the games they play in, there is still a high chance of being down money.
The Tournament Variance Calculator
The best application out there today looks to be here.
Even new players to the game who read about poker, and study the game to any extent will likely have heard about the extreme variance experienced by MTT players.
In this example our hero is a recreational player who finds time for 1500 tournaments in a year.
HisROI % is a healthy 35%, but nothing spectacular. He plays only $5 buy in events with an average of five thousand entrants. Each tournament pays out prizes to the top fifteen percent of finishers.
Pokerdope Variance
Here we can see that there is roughly a twenty five percent chance that he will be down money at the year's end. Fifty percent of the time he can expect to have won more than $2285, with the worst case being a total loss of more than $3400.
Can you imagine what an unprepared casual player would be thinking if they had lost $3400? This is why we need to do this work away from the table.
Here is a random selection of twenty samples. As you can see there is still the possibility of going on a huge heater and making a nice profit. But there's no guarantees!
Similar to the cash game calculator we also get a detailed chart of statistical data.
Conclusion
In both examples we saw a competent player stand a fairly high chance of losing money over a single month,and over a full year.
Once you have experimented with different permutations you may even wish to change your game of choice. One point which stands out more than any other is how live poker players need the patience of a saint. They simply cannot look at poker in terms of months. Even for the professionals only hardcore cash game grinders can expect to feel a degree of certainty after a year's play. Live MTT players can expect a long wait, there just aren't enough days in the week.
For online players the long run can come around much sooner, but for those of you with jobs and family commitments it can still be a frustratingly long time before you see the fruits of your labor.
Primedope Variance
Http://pokerdope.com
More Top Rated Content
Articles
Coaching Videos
For the last two weeks, a team of top cash game players has been taking on the best poker playing artificial intelligence program developed by Carnegie Mellon University.
Claudico, as the artificial intelligence program is known, played a total of 80,000 hands of $50/$100 No Limit Hold’em heads up against Douglas Polk, Bjorn Li, Dong Kim and Jason Les, four of the top ten online heads up cash game players.
The human players beat the machine for a total of $732,713. The winnings from the game were play money, but the four also received $25,000 each put up as a prize by Microsoft and the Rivers Casino in Pittsburgh.
The game was structured so that two players were dealt one set of hands which they played against Claudico, and then the same hands were played by Claudico against the other two players. The structure, similar to duplicate bridge, was designed to reduce the effects of variance. The online video stream of the competition on Twitch soon became one of the top poker streams.
Even though the players won at a rate of 9.16 big blinds per hundred hands (bb/100), the researchers at Carnegie are celebrating,
Their program was developed to implement game theory in an artificial intelligence environment where the computer would learn and improve as it gained experience. Claudico was not designed to be a “poker bot,” poker just provides a good example of a game theory situation where decisions have to be made with incomplete information.
“It would have been no shame for Claudico to lose to a set of such talented pros, so even pulling off a statistical tie with them is a tremendous achievement,” said Tuomas Sandholm, the CMU professor of computer science in charge of developing Claudico.
The idea of a statistical tie is based on the total value of the bets—over $170 million—against the total winnings of $730k. However, this means of calculation looks to be at odds with the way poker players understand variance in the game.
To win at an average rate of over 9 bb/100 over 80,000 hands looks like a huge margin of victory. Perhaps the Carnegie Mellon researchers have underestimated the skill differential that a win rate of that magnitude implies.
The chance that a heads up player facing an opponent of equal skill wins at 9bb/100 over such a sample is very small—less than 5% probability, according to calculations by PokerDope’s variance calculator.
Even so, there is no doubting the scale of the achievement that Claudico represents for Sandholm and his team. Claudico is a development of their previous program Tartanian7 which won last year’s Association for the Advancement of Artificial Intelligence (AAAI) poker competition.
“The advances made in Claudico over Tartanian7 in just eight months were huge,” said Jason Les.
Computers have been highly proficient at Heads Up Limit Hold’em for years. Researchers at the University of Alberta announced earlier this year that their Cepheus computer program has learned Heads Up Limit Hold’em so well that the game has effectively been solved.
Poker Dope
The Rivers Casino also enjoyed the benefit of a huge amount of publicity which the event generated. “Thanks to the online stream, the pros had fans rooting for them from all over the world throughout the challenge, in addition to the local players visiting our gaming floor,” said Craig Clark, general manager of Rivers Casino.