A payout schedule model defines the possible ways the tournament prize pool can be distributed to the players in a tournament. The model is used to produce the tournament's payout schedule.
Because you don't know in advance how many players will participate in your tournament, you can have multiple payout scenarios. For example, you can have one payout scenario for 1-10 players, another for 11-20 players, etc. Each scenario is called a "Payout Tier".
The particular payout tier used for your particular tournament is selected using the following inputs:
A payout schedule has the following attributes:
A payout tier details a possible payout scenario, including:
Note that a payout schedule may have multiple payout tiers. Only one of those tiers is used by the tournament.
A payout tier has the following attributes:
A Percentage Distribution Method defines how percentages are distributed to the top finishers in a Payout Tier. It consists of two parts:
A Percentage Distribution Spot Count Method defines how many of the top finishers can receive a portion of the percentage prize pool. Currently, there are two types of spot count methods.
The number of spots is defined statically by you. Note that if your weighting method is "Manual" that your spot count method must also be manual.
The number of spots paid is calculated as a certain percentage of the number of players that have bought into the tournament.
Alternatively, the number of spots paid can be a percentage of one of the following:
The last three options were added for those who which to pay more spots when their prize pool grows due to rebuys and/or add-ons.
You also specify how rounding is handled. For instance, if you decide to pay 33% of the buy-ins and 10 people play, do you pay 3 or 4?
A Percentage Weighting Method defines how the percentages are distributed over the number of players specified by the Percentage Distribution Spot Count Method. Currently, there are three types of weighting methods.
With this weighting method, you specify spot-by-spot how the percentages are to be distributed. This method does not ensure that 100% has been distributed. You have complete control. However, if you don't distribute 100%, the remainder of the prize pool will go to the winner of the tournament.
With this weighting method, percentages are distributed with the difference between any two positions being identical.
You can influence the size of the gap between the positions with the "spread factor" variable. A spread factor of 0% minimizes the gap between positions, while a spread factor of 100% maximizes the gap between positions.
Examples of various spread factors paying the top five spots:
Spread Factors | |||||
Finisher | 0% | 25% | 50% | 75% | 100% |
1 | 20.0% | 26.7% | 30.0% | 32.0% | 33.3% |
2 | 20.0% | 23.3% | 25.0% | 26.0% | 26.7% |
3 | 20.0% | 20.0% | 20.0% | 20.0% | 20.0% |
4 | 20.0% | 16.7% | 15.0% | 14.0% | 13.3% |
5 | 20.0% | 13.3% | 10.0% | 8.0% | 6.7% |
With this weighting method, percentages are distributed with a decreasing gap between each spot.
You can influence this distribution with the use of two variables:
Example of various decay rates with an initial spread of 50%
Decay Rates | |||||
Finisher | 0% | 25% | 50% | 75% | 100% |
1 | 51.6% | 45.2% | 39.8% | 36.0% | 33.3% |
2 | 25.8% | 22.6% | 19.9% | 18.0% | 16.7% |
3 | 12.9% | 14.1% | 14.9% | 15.7% | 16.7% |
4 | 6.5% | 10.1% | 13.1% | 15.2% | 16.7% |
5 | 3.2% | 8.0% | 12.3% | 15.1% | 16.7% |
Dr. Neau uses a very simple payout schedule that automatically adjusts to the number of buy-ins. Here are the attributes of his payout method: