Little idea for treasure maps

1

I have a suggestion to increase the interest of the players to the treasure maps. Due to the fact that a single map takes a long time (from 1 to 100 minutes), and because of this maps are stored and used very rarely (I have 800+ maps , and just don’t have as much time)…
I propose to introduce the use of multiple maps at once, and multiplier rewards for each subsequent for example 0.7 (if you bet 5 maps , then the reward after will be 1+4x0.7 = 3.8 multiplier) and most importantly!!! to make the multiplier decrease from the number of maps for example is 0.7 (if you bet the same 5 maps , then the initial number of moves you have is reduced by 5x0.7=3.5 … instead of starting 12 moves the player who has bet 5 maps , starting with 9 moves) it is needed to make collecting high rewards more complex if you use several maps at once, to get a multiplier.
and do not forget to put a limit on the number of maps on the basis that the number of initial moves cannot drop below 1. (on event points multiplier should not apply)

I hope my point is clear and you take to consider…
help in translation - Yandex translator =)

4 Likes
2

This has been suggested at least 10 times in the past, and thats not exaggerated.

Its a good idea of course, like the pervious were too and i support it like i supported the previous ones.

4 Likes
3

glad to hear that))

4

My suggestion was to make the multiplier the square root of the number of maps spent. The point was to make the gain non-linear; the more maps, the less benefit to each additional map.

5

yea. I was thinking about a similar formula, and this has led for example, but square root not suitable for downside moves, so I brought this formula))

6

@DonBoba might be underestimating the suggestion count :wink:.

Its a good suggestion, just so you know the developers have avoided multipliers for the rewards in TH for good reason. Many players have thousands if not tens of thousands of Maps.

7

Great idea and also have weekly leader boards for number of turns