Determining game skill factors
Determining game skill factors
 CN 105,144,224 B
 Filed: 04/29/2014
 Issued: 07/23/2021
 Est. Priority Date: 04/29/2013
 Status: Active Grant
First Claim
1. A method implemented by one or more processors forming part of at least one computing system, the method comprising:
 accessing, by at least one data processor, data characterizing a quantifiable outcome for each of a plurality of game records, each game record associated with one of a plurality of players and a game, the game being a digital game played on a computing platform;
calculating, using the accessed data and the at least one data processor, a first variance measure of quantifiable outcomes for all game records associated with the plurality of players;
calculating, using the at least one data processor, for one or more of the plurality of players and using the accessed data, a second variance measure of the quantifiable outcome of the game record associated with the one or more of the plurality of players, wherein calculating the second variance measure comprises calculating a weighted average of the variance measures of the outcome for each of the one or more of the plurality of players, the weights based on the number of records associated with each player;
determining, with at least one data processor and based on at least the first variance measure and the second variance measure, a skill factor for a game, the skill factor characterizing a degree to which a player skill affects a game outcome;
determining one or more predetermined skill factors for a game of known pure skill;
comparing the skill factor of the game with a predetermined skill factor to determine that the dominating factor for the outcome of the game in the game is a skill or chance;
providing, by at least one data processor, data characterizing the skill factors; and
the game is classified as a game of skill or a game of chance, wherein the first variance measure is substantially the same as the second variance measure for the game of chance, and the second variance measure is less than the first variance measure for the game of skill.
Chinese PRB Reexamination
Abstract
Data characterizing a quantifiable outcome for each of a plurality of game records may be accessed. Each game record may be associated with one of a plurality of players and the game. The game may be a digital game played on a computing platform. Using the accessed data, a first variance measure of quantifiable outcomes for all game records associated with the plurality of players may be calculated. For one or more of the plurality of players and utilizing the accessed data, a second variance measure for a quantifiable outcome of the game record associated with one or more of the plurality of players can be calculated. Based on at least the first variance amount and the second variance amount, a skill factor of the game may be determined. Data characterizing the skill factors may be provided. Related apparatus, systems, methods, and articles of manufacture are also described. Data characterizing quantifiable outcomes for each of a plurality of game records can be accessed. Each game record may be associated with one of a plurality of players and the game. The game may be a digital game played on a computing platform. Using the accessed data, a first variance measure of quantifiable outcomes for all game records associated with the plurality of players may be calculated. For one or more of the plurality of players and utilizing the accessed data, a second variance measure of the quantifiable outcome of the game record associated with one or more of the plurality of players may be calculated. Based on at least the first variance measure and the second variance measure, a skill factor for the game may be calculated. Data characterizing the skill factors may be provided. Related apparatus, systems, methods, and articles of manufacture are also described.
12 Claims

1. A method implemented by one or more processors forming part of at least one computing system, the method comprising:

accessing, by at least one data processor, data characterizing a quantifiable outcome for each of a plurality of game records, each game record associated with one of a plurality of players and a game, the game being a digital game played on a computing platform; calculating, using the accessed data and the at least one data processor, a first variance measure of quantifiable outcomes for all game records associated with the plurality of players; calculating, using the at least one data processor, for one or more of the plurality of players and using the accessed data, a second variance measure of the quantifiable outcome of the game record associated with the one or more of the plurality of players, wherein calculating the second variance measure comprises calculating a weighted average of the variance measures of the outcome for each of the one or more of the plurality of players, the weights based on the number of records associated with each player; determining, with at least one data processor and based on at least the first variance measure and the second variance measure, a skill factor for a game, the skill factor characterizing a degree to which a player skill affects a game outcome; determining one or more predetermined skill factors for a game of known pure skill; comparing the skill factor of the game with a predetermined skill factor to determine that the dominating factor for the outcome of the game in the game is a skill or chance; providing, by at least one data processor, data characterizing the skill factors; and the game is classified as a game of skill or a game of chance, wherein the first variance measure is substantially the same as the second variance measure for the game of chance, and the second variance measure is less than the first variance measure for the game of skill.


2. The method of claim 1, wherein:
 the quantifiable outcome for each game record is independent of all other quantifiable outcomes of the plurality of game records.

3. The method of any of the preceding claims, further comprising:
 a confidence level for the skill factor is determined.

4. The method of claim 3, further comprising:
 the likelihood that the classification of the game as a game of skill or game of chance is erroneous is determined.

5. The method of claim 4, further comprising:
 the skill factors are classified as nonclassifiable.

6. The method of any one of the preceding claims, wherein calculating a first variance amount comprises calculating a percentage score.

7. The method of any one of the preceding claims, wherein calculating a second variance measure comprises calculating a percentage score.

8. The method of any of the preceding claims, wherein calculating a first variance measure comprises calculating a normal distribution.

9. The method of any one of the preceding claims, wherein calculating a second variance measure comprises calculating a normal distribution.

10. The method of any one of the preceding claims, wherein calculating a second variance measure comprises calculating a sample variance.

11. A method implemented by one or more processors forming part of at least one computing system, the method comprising:

receiving, by at least one data processor, data characterizing a request for access to a skill digital game; presenting, with at least one data processor, in a graphical user interface, a description of two or more games of skill; and initiating, with the at least one data processor, the selected game in response to selection of one of the games; wherein games are classified as games of skill by the following steps; accessing data characterizing quantifiable outcomes for each of a plurality of game records, each game record associated with one of a plurality of players and a game, the game being a digital game played on a computing platform; calculating, using the accessed data and the at least one data processor, a first variance measure of quantifiable outcomes for all game records associated with the plurality of players; calculating, using the at least one data processor, for one or more of the plurality of players and using the accessed data, a second variance measure of the quantifiable outcome of the game record associated with the one or more of the plurality of players, wherein calculating the second variance measure comprises calculating a weighted average of the variance measures of the outcome for each of the one or more of the plurality of players, the weights based on the number of records associated with each player; determining, with at least one data processor and based on at least the first variance measure and the second variance measure, a skill factor for a game, the skill factor characterizing a degree to which a player skill affects a game outcome; determining, using the skill factors, one or more predetermined skill factors for a game known to be pure skill; comparing the skill factor of the game with a predetermined skill factor to determine that the dominating factor for the outcome of the game in the game is a skill or chance; and when the dominance factor of the game indicates that the game is primarily games of skill, the game is classified as one of the games of skill.


12. The method of claim 11, wherein calculating the second variance measure comprises one or more of:
 calculating a percentage score;
calculating normal distribution; and
calculating a sample variance.
 calculating a percentage score;
Specification(s)