From OP:
Quote:
Originally Posted by Korn
As a next step, given that the above article contains quite a few implications, we are working on a detailed model based on real data in order to verify the analysis above.
I'm very interested in this topic
Did you finish the detailed model?
In your OP, you state that:
Quote:
It is important to note that the gross loss to rake conversion is not static. It is affected by the types of players that play on your tables, and in general, it's fair to say that the value is higher if the average skill difference between those players is low, and vice versa.
I disagree with this.
I believe it is the average skill difference between the other players at the table, and the weak players (those who are willing to lose playing poker).
For example, you state that a poker room with 80% decent players and 20% weak players results in a higher deposit to rake conversion than a poker room with 50% decent players and 50% weak players.
I cannot logically understand this, and you explain my reasoning in your OP:
Quote:
Now, what's the impact of the skill difference? The more evenly matched two players are, the more rake they will generate between them as it takes longer for one player to lose his bankroll to the other. If, however, there is a big skill mismatch, the weak player will be out of funds quickly, without much rake having been generated.
i.e I cannot understand how if I am a weak player on a 6 max table, I will lose my bankroll slower when faced with 5 decent players, than if I were faced with 2 other weak players and 3 decent players.
However, to counter that, lets assume you have 3 weak players and your goal is to maximise the rake until the 3 weak players go bust.
You can choose between having:
i) 6 max game with 3 weak players and 3 decent players
ii) 3 tables of 6 max with 1 weak at each table and 5 decent players at each table
Ideally we could use some data to find the answer to which generates the most rake.
However, thinking about it, there is a chance that the decent players would win multi way pots against the weak players, and given the rake is capped, this would damage the loss to rake ratio from the poker sites perspective.
However, maybe this is more than counteracted by the weak players not being beaten so quickly.
Either way, I'd be very interested if you could post the conclusion of your detailed model