Why does same percentage of house edge earn the game less/more money?












0












$begingroup$


Let's say I have a game (1000 slots roulette) with 60 slots that you can win with.
So the probability of winning is 0.06;



Now to attract players, I have a discount system. That is if discount is 30%, you pay 1 dollar to play, you only need to pay 0.7 dollars. But if you win the payout is 10 dollars.



GAME A



So the expected house edge on $1 should be



(1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1



GAME B



I can modify the game to maintain the same house edge, with different discount and payout



D = 0.24, P = 11



(1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1



So from player point of view both games are the same (probability wise). But if a player can choose he probably will choose to play Game B.



Why?



Player 1 play Game A for 1320, after discount: 924, potential winning: 13200,



Player 2 play Game B for 1200, after discount: 912, potential winning: 13200,



As you can see player 2 is better off, same potential winning, but he pays lesser!



I cannot figure out what causes this inconsistency when the house edge is obviously the same, it seems one game earn more money than the other.










share|cite|improve this question









$endgroup$

















    0












    $begingroup$


    Let's say I have a game (1000 slots roulette) with 60 slots that you can win with.
    So the probability of winning is 0.06;



    Now to attract players, I have a discount system. That is if discount is 30%, you pay 1 dollar to play, you only need to pay 0.7 dollars. But if you win the payout is 10 dollars.



    GAME A



    So the expected house edge on $1 should be



    (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1



    GAME B



    I can modify the game to maintain the same house edge, with different discount and payout



    D = 0.24, P = 11



    (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1



    So from player point of view both games are the same (probability wise). But if a player can choose he probably will choose to play Game B.



    Why?



    Player 1 play Game A for 1320, after discount: 924, potential winning: 13200,



    Player 2 play Game B for 1200, after discount: 912, potential winning: 13200,



    As you can see player 2 is better off, same potential winning, but he pays lesser!



    I cannot figure out what causes this inconsistency when the house edge is obviously the same, it seems one game earn more money than the other.










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Let's say I have a game (1000 slots roulette) with 60 slots that you can win with.
      So the probability of winning is 0.06;



      Now to attract players, I have a discount system. That is if discount is 30%, you pay 1 dollar to play, you only need to pay 0.7 dollars. But if you win the payout is 10 dollars.



      GAME A



      So the expected house edge on $1 should be



      (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1



      GAME B



      I can modify the game to maintain the same house edge, with different discount and payout



      D = 0.24, P = 11



      (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1



      So from player point of view both games are the same (probability wise). But if a player can choose he probably will choose to play Game B.



      Why?



      Player 1 play Game A for 1320, after discount: 924, potential winning: 13200,



      Player 2 play Game B for 1200, after discount: 912, potential winning: 13200,



      As you can see player 2 is better off, same potential winning, but he pays lesser!



      I cannot figure out what causes this inconsistency when the house edge is obviously the same, it seems one game earn more money than the other.










      share|cite|improve this question









      $endgroup$




      Let's say I have a game (1000 slots roulette) with 60 slots that you can win with.
      So the probability of winning is 0.06;



      Now to attract players, I have a discount system. That is if discount is 30%, you pay 1 dollar to play, you only need to pay 0.7 dollars. But if you win the payout is 10 dollars.



      GAME A



      So the expected house edge on $1 should be



      (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1



      GAME B



      I can modify the game to maintain the same house edge, with different discount and payout



      D = 0.24, P = 11



      (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1



      So from player point of view both games are the same (probability wise). But if a player can choose he probably will choose to play Game B.



      Why?



      Player 1 play Game A for 1320, after discount: 924, potential winning: 13200,



      Player 2 play Game B for 1200, after discount: 912, potential winning: 13200,



      As you can see player 2 is better off, same potential winning, but he pays lesser!



      I cannot figure out what causes this inconsistency when the house edge is obviously the same, it seems one game earn more money than the other.







      probability






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      share|cite|improve this question











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      share|cite|improve this question










      asked Feb 3 at 11:29









      ZankoZanko

      1556




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          $begingroup$

          The problem is in calculating the edge of the house. In the first case, the house is expected to make $0.1 for every $0.7 bet, or approximately 14.2% of the initial bet. In the second case, the house is expected to make $0.1 for every $0.76 bet, or approximately 13.2% of the initial bet. Indeed, from the gambler's perspective, the second scenario is the most interesting.



          Note that you can take this a few steps further, by considering no discount and a payout of $15. In this case, the edge of the house is $0.1 for every $1 bet, or 10% of the initial bet. From the gambler's perspective, this solution is the best approach.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thank you. I see my mistake now, so do the house edge formula above mean anything at all?
            $endgroup$
            – Zanko
            Feb 3 at 12:25










          • $begingroup$
            @Zanko They certainly do: they determine the expected profit given an initial bet. As stated above, both the $0.7 and $0.76 bet respectively result in a profit of $0.1.
            $endgroup$
            – jvdhooft
            Feb 3 at 12:40










          • $begingroup$
            Hi, sorry but something still doesn't add up for me. $0.1 for every $0.7 bet, or approximately 14.2% vs $0.1 for every $0.76 bet, or approximately 13.2%. Obviously house has better edge for the first case. But looking at expected profit given an initial bet both are $0.1. So both games are actually the same?
            $endgroup$
            – Zanko
            Feb 3 at 12:48












          • $begingroup$
            @Zanko No, the expected profit is not the same. In the first case, the house wins $frac{1}{7}$ of the amount bet, in the second case $frac{1}{7.6}$ of the amount bet. Say a gambler bets $532 in both scenarios, then the house is expected to win $76 in the first scenario, and $70 in the second.
            $endgroup$
            – jvdhooft
            Feb 3 at 13:04










          • $begingroup$
            Thank you I understand that. I guess I just can't figure out what (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1 and (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1 meant. They both give value of 0.1. It is expected profit GIVEN initial bet. But this information is useless to casino right?
            $endgroup$
            – Zanko
            Feb 3 at 13:08












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          $begingroup$

          The problem is in calculating the edge of the house. In the first case, the house is expected to make $0.1 for every $0.7 bet, or approximately 14.2% of the initial bet. In the second case, the house is expected to make $0.1 for every $0.76 bet, or approximately 13.2% of the initial bet. Indeed, from the gambler's perspective, the second scenario is the most interesting.



          Note that you can take this a few steps further, by considering no discount and a payout of $15. In this case, the edge of the house is $0.1 for every $1 bet, or 10% of the initial bet. From the gambler's perspective, this solution is the best approach.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thank you. I see my mistake now, so do the house edge formula above mean anything at all?
            $endgroup$
            – Zanko
            Feb 3 at 12:25










          • $begingroup$
            @Zanko They certainly do: they determine the expected profit given an initial bet. As stated above, both the $0.7 and $0.76 bet respectively result in a profit of $0.1.
            $endgroup$
            – jvdhooft
            Feb 3 at 12:40










          • $begingroup$
            Hi, sorry but something still doesn't add up for me. $0.1 for every $0.7 bet, or approximately 14.2% vs $0.1 for every $0.76 bet, or approximately 13.2%. Obviously house has better edge for the first case. But looking at expected profit given an initial bet both are $0.1. So both games are actually the same?
            $endgroup$
            – Zanko
            Feb 3 at 12:48












          • $begingroup$
            @Zanko No, the expected profit is not the same. In the first case, the house wins $frac{1}{7}$ of the amount bet, in the second case $frac{1}{7.6}$ of the amount bet. Say a gambler bets $532 in both scenarios, then the house is expected to win $76 in the first scenario, and $70 in the second.
            $endgroup$
            – jvdhooft
            Feb 3 at 13:04










          • $begingroup$
            Thank you I understand that. I guess I just can't figure out what (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1 and (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1 meant. They both give value of 0.1. It is expected profit GIVEN initial bet. But this information is useless to casino right?
            $endgroup$
            – Zanko
            Feb 3 at 13:08
















          1












          $begingroup$

          The problem is in calculating the edge of the house. In the first case, the house is expected to make $0.1 for every $0.7 bet, or approximately 14.2% of the initial bet. In the second case, the house is expected to make $0.1 for every $0.76 bet, or approximately 13.2% of the initial bet. Indeed, from the gambler's perspective, the second scenario is the most interesting.



          Note that you can take this a few steps further, by considering no discount and a payout of $15. In this case, the edge of the house is $0.1 for every $1 bet, or 10% of the initial bet. From the gambler's perspective, this solution is the best approach.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thank you. I see my mistake now, so do the house edge formula above mean anything at all?
            $endgroup$
            – Zanko
            Feb 3 at 12:25










          • $begingroup$
            @Zanko They certainly do: they determine the expected profit given an initial bet. As stated above, both the $0.7 and $0.76 bet respectively result in a profit of $0.1.
            $endgroup$
            – jvdhooft
            Feb 3 at 12:40










          • $begingroup$
            Hi, sorry but something still doesn't add up for me. $0.1 for every $0.7 bet, or approximately 14.2% vs $0.1 for every $0.76 bet, or approximately 13.2%. Obviously house has better edge for the first case. But looking at expected profit given an initial bet both are $0.1. So both games are actually the same?
            $endgroup$
            – Zanko
            Feb 3 at 12:48












          • $begingroup$
            @Zanko No, the expected profit is not the same. In the first case, the house wins $frac{1}{7}$ of the amount bet, in the second case $frac{1}{7.6}$ of the amount bet. Say a gambler bets $532 in both scenarios, then the house is expected to win $76 in the first scenario, and $70 in the second.
            $endgroup$
            – jvdhooft
            Feb 3 at 13:04










          • $begingroup$
            Thank you I understand that. I guess I just can't figure out what (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1 and (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1 meant. They both give value of 0.1. It is expected profit GIVEN initial bet. But this information is useless to casino right?
            $endgroup$
            – Zanko
            Feb 3 at 13:08














          1












          1








          1





          $begingroup$

          The problem is in calculating the edge of the house. In the first case, the house is expected to make $0.1 for every $0.7 bet, or approximately 14.2% of the initial bet. In the second case, the house is expected to make $0.1 for every $0.76 bet, or approximately 13.2% of the initial bet. Indeed, from the gambler's perspective, the second scenario is the most interesting.



          Note that you can take this a few steps further, by considering no discount and a payout of $15. In this case, the edge of the house is $0.1 for every $1 bet, or 10% of the initial bet. From the gambler's perspective, this solution is the best approach.






          share|cite|improve this answer









          $endgroup$



          The problem is in calculating the edge of the house. In the first case, the house is expected to make $0.1 for every $0.7 bet, or approximately 14.2% of the initial bet. In the second case, the house is expected to make $0.1 for every $0.76 bet, or approximately 13.2% of the initial bet. Indeed, from the gambler's perspective, the second scenario is the most interesting.



          Note that you can take this a few steps further, by considering no discount and a payout of $15. In this case, the edge of the house is $0.1 for every $1 bet, or 10% of the initial bet. From the gambler's perspective, this solution is the best approach.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Feb 3 at 12:03









          jvdhooftjvdhooft

          5,65961641




          5,65961641












          • $begingroup$
            Thank you. I see my mistake now, so do the house edge formula above mean anything at all?
            $endgroup$
            – Zanko
            Feb 3 at 12:25










          • $begingroup$
            @Zanko They certainly do: they determine the expected profit given an initial bet. As stated above, both the $0.7 and $0.76 bet respectively result in a profit of $0.1.
            $endgroup$
            – jvdhooft
            Feb 3 at 12:40










          • $begingroup$
            Hi, sorry but something still doesn't add up for me. $0.1 for every $0.7 bet, or approximately 14.2% vs $0.1 for every $0.76 bet, or approximately 13.2%. Obviously house has better edge for the first case. But looking at expected profit given an initial bet both are $0.1. So both games are actually the same?
            $endgroup$
            – Zanko
            Feb 3 at 12:48












          • $begingroup$
            @Zanko No, the expected profit is not the same. In the first case, the house wins $frac{1}{7}$ of the amount bet, in the second case $frac{1}{7.6}$ of the amount bet. Say a gambler bets $532 in both scenarios, then the house is expected to win $76 in the first scenario, and $70 in the second.
            $endgroup$
            – jvdhooft
            Feb 3 at 13:04










          • $begingroup$
            Thank you I understand that. I guess I just can't figure out what (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1 and (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1 meant. They both give value of 0.1. It is expected profit GIVEN initial bet. But this information is useless to casino right?
            $endgroup$
            – Zanko
            Feb 3 at 13:08


















          • $begingroup$
            Thank you. I see my mistake now, so do the house edge formula above mean anything at all?
            $endgroup$
            – Zanko
            Feb 3 at 12:25










          • $begingroup$
            @Zanko They certainly do: they determine the expected profit given an initial bet. As stated above, both the $0.7 and $0.76 bet respectively result in a profit of $0.1.
            $endgroup$
            – jvdhooft
            Feb 3 at 12:40










          • $begingroup$
            Hi, sorry but something still doesn't add up for me. $0.1 for every $0.7 bet, or approximately 14.2% vs $0.1 for every $0.76 bet, or approximately 13.2%. Obviously house has better edge for the first case. But looking at expected profit given an initial bet both are $0.1. So both games are actually the same?
            $endgroup$
            – Zanko
            Feb 3 at 12:48












          • $begingroup$
            @Zanko No, the expected profit is not the same. In the first case, the house wins $frac{1}{7}$ of the amount bet, in the second case $frac{1}{7.6}$ of the amount bet. Say a gambler bets $532 in both scenarios, then the house is expected to win $76 in the first scenario, and $70 in the second.
            $endgroup$
            – jvdhooft
            Feb 3 at 13:04










          • $begingroup$
            Thank you I understand that. I guess I just can't figure out what (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1 and (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1 meant. They both give value of 0.1. It is expected profit GIVEN initial bet. But this information is useless to casino right?
            $endgroup$
            – Zanko
            Feb 3 at 13:08
















          $begingroup$
          Thank you. I see my mistake now, so do the house edge formula above mean anything at all?
          $endgroup$
          – Zanko
          Feb 3 at 12:25




          $begingroup$
          Thank you. I see my mistake now, so do the house edge formula above mean anything at all?
          $endgroup$
          – Zanko
          Feb 3 at 12:25












          $begingroup$
          @Zanko They certainly do: they determine the expected profit given an initial bet. As stated above, both the $0.7 and $0.76 bet respectively result in a profit of $0.1.
          $endgroup$
          – jvdhooft
          Feb 3 at 12:40




          $begingroup$
          @Zanko They certainly do: they determine the expected profit given an initial bet. As stated above, both the $0.7 and $0.76 bet respectively result in a profit of $0.1.
          $endgroup$
          – jvdhooft
          Feb 3 at 12:40












          $begingroup$
          Hi, sorry but something still doesn't add up for me. $0.1 for every $0.7 bet, or approximately 14.2% vs $0.1 for every $0.76 bet, or approximately 13.2%. Obviously house has better edge for the first case. But looking at expected profit given an initial bet both are $0.1. So both games are actually the same?
          $endgroup$
          – Zanko
          Feb 3 at 12:48






          $begingroup$
          Hi, sorry but something still doesn't add up for me. $0.1 for every $0.7 bet, or approximately 14.2% vs $0.1 for every $0.76 bet, or approximately 13.2%. Obviously house has better edge for the first case. But looking at expected profit given an initial bet both are $0.1. So both games are actually the same?
          $endgroup$
          – Zanko
          Feb 3 at 12:48














          $begingroup$
          @Zanko No, the expected profit is not the same. In the first case, the house wins $frac{1}{7}$ of the amount bet, in the second case $frac{1}{7.6}$ of the amount bet. Say a gambler bets $532 in both scenarios, then the house is expected to win $76 in the first scenario, and $70 in the second.
          $endgroup$
          – jvdhooft
          Feb 3 at 13:04




          $begingroup$
          @Zanko No, the expected profit is not the same. In the first case, the house wins $frac{1}{7}$ of the amount bet, in the second case $frac{1}{7.6}$ of the amount bet. Say a gambler bets $532 in both scenarios, then the house is expected to win $76 in the first scenario, and $70 in the second.
          $endgroup$
          – jvdhooft
          Feb 3 at 13:04












          $begingroup$
          Thank you I understand that. I guess I just can't figure out what (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1 and (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1 meant. They both give value of 0.1. It is expected profit GIVEN initial bet. But this information is useless to casino right?
          $endgroup$
          – Zanko
          Feb 3 at 13:08




          $begingroup$
          Thank you I understand that. I guess I just can't figure out what (1-D) - 60 / 1000 * P = (1 - 0.3) - 60 / 1000 * 10 = 0.1 and (1-D) - 60 / 1000 * P = (1 - 0.24) - 60 / 1000 * 11 = 0.1 meant. They both give value of 0.1. It is expected profit GIVEN initial bet. But this information is useless to casino right?
          $endgroup$
          – Zanko
          Feb 3 at 13:08


















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