Game with chance element or event simulation

1. A method comprising the steps of:

in a gaming system that has gaming machines that host a plurality of games, at a computer of the gaming system, monitoring play by a plurality of players at the gaming machines, and storing in memory of the computer data describing play of the games by the players; and

making available in nontransitory perceptible form to a player a list of recommendations of games to play, the recommendations computed from the stored data based at least in part on at least one of real-time current play or historical play of multiple games by multiple players; and

ordering the list of recommended games based at least in part on a number of times that an outcome occurs which returns more than a predetermined multiple of an amount bet.

2. The method of claim 1 in which a first game of the list of recommended games is available for play on multiple different gaming devices within a casino.

3. The method of claim 1 , wherein:

lines of the recommendation list correspond to respective dealers.

4. The method of claim 1 , further comprising the step of:

rank ordering the recommendation list based at least in part on play of the multiple games during a most recent 24-hour period preceding the computation of the recommendation list.

5. The method of claim 1 , further comprising the step of:

ordering the recommendation list based at least in part on a number of times the games are currently in play.

6. The method of claim 1 , further comprising the step of:

ordering of the recommendations based at least in part on a number of players who are currently playing the respective games.

7. The method of claim 1 , further comprising the step of:

ordering the recommendation list based at least in part on the number of times that a given category of outcome has occurred during a recent period of time determined by software of the computer.

8. The method of claim 1 further comprising the step of:

receiving from the player search criteria for games, and limiting the recommendations to games that match the search criteria.

9. The method of claim 1 in which respective lines of the list of recommendations correspond to respective names of the games.

10. The method of claim 1 in which to make a list available in nontransitory perceptible form includes to post a list to a Website.

11. The method of claim 1 , further comprising the step of:

receiving from the player registration data identifying demographic attributes of the player, and selecting games or ordering the recommendations based at least in part on the player's demographic information.

12. The method of claim 11 , further comprising the step of:

ordering the recommendation list based at least in part on a number of players of the player's demographic.

13. The method of claim 1 , further comprising the step of:

selecting games for inclusion in the list of recommendations based on gender.

14. One or more nontransitory, computer-readable media, having stored thereon programs to cause one or more computers of a gaming system to:

to monitor play by a plurality of players at gaming machines of the gaming system that host multiple games, and to store in memory of the computer data describing play of the games by the players; and

to make available in perceptible form to a player a list of recommendations of games to play, the recommendations computed from the stored data based at least in part on at least one of real-time current play or historical play of multiple games by multiple players; and

to order the list of recommended games based at least in part on a number of times that an outcome occurs which returns more than a predetermined multiple of an amount bet.

15. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

order the recommendation list based on a number of times that respective games of the list are currently in play.

16. The media of claim 14 , wherein:

lines of the recommendation list correspond to trade name of games.

17. The media of claim 14 , wherein:

lines of the recommendation list correspond to respective dealers.

18. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

offer to the player a practice, not-for-value version of a recommended game.

19. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

order of the recommendations based at least in part on a number of players who are currently playing the respective games.

20. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

rank order the recommendation list based at least in part on play of the multiple games during a most recent 24-hour period preceding the computation of the recommendation list.

21. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

receive from the player search criteria for games, and to limit the recommendations to games that match the search criteria.

22. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

receive from the player registration data identifying demographic attributes of the player, and select games or ordering the recommendations based at least in part on the player's demographic information.

23. The media of claim 22 , the programs being further programmed to cause the computer(s) to:

order the recommendation list based at least in part on a number of players of the player's demographic.

24. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

select games for inclusion in the list of recommendations based on gender.

25. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

select games for inclusion in the list of recommendations based on occupation.

26. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

select games for inclusion in the list of recommendations based on the player's income.

27. The media of claim 14 , the programs being further programmed to cause the computer(s) to:

select games for inclusion in the list of recommendations based on the player's language.

28. A gaming system comprising:

at least one processor; and

memory having instructions stored therein that, when executed by the at least one processor, cause the at least one processor to:

monitor play by a plurality of players at gaming machines of the gaming system that host multiple games, and store in the memory data describing play of the games by the players; and

make available in perceptible form to a player a list of recommendations of games to play, the recommendations computed from the stored data based at least in part on at least one of real-time current play or historical play of multiple games by multiple players; and

order the list of recommended games based at least in part on a number of times that an outcome occurs which returns more than a predetermined multiple of an amount bet.

29. The gaming system of claim 28 , the instructions further causing the at least one processor to:

rank ordering of the recommendation list based at least in part on play of the multiple games during a most recent 24-hour period preceding the computation of the recommendation list.

30. The gaming system of claim 28 , the instructions further causing the at least one processor to:

receive from the player registration data identifying demographic attributes of the player, and select games or order the recommendations based at least in part on the player's demographic information.

31. The gaming system of claim 28 , the instructions further causing the at least one processor to:

select games for inclusion in the list of recommendations based on gender.