Dungeons and Dragons: Advantage

[This article was first published on Get Your Data On, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

D20 and Random Events

In the game Dungeons and Dragons, the success or failure of an event is determined by rolling a 20 sided die (D20): higher is better. If you need to roll 11 or higher you have a 50% chance of success. If another event requires 10 or better you now have a 55% chance for success. Each point the roll goes up or down is worth 5%. Often times, rolling a 20 is a critical success and a 1 is a critical failure; critical means it’s extra good/bad.

Advantage

Sometimes things are really going your way and you roll with advantage. Sometimes things are not in your favor and you roll with disadvantage. When rolling with advantage, roll two dice and pick the higher. When rolling with disadvantage, roll two dice and pick the lower. How do advantage and disadvantage affect the chance of getting a 20 or 1?

When rolling without advantage or disadvantage, the probability of getting a 20 or a 1 is 1/20 = 0.05 or 5%. The probability of not getting a twenty 1 – 1/20 = 19/20.

P20    <- 0.05
Pnot20 <- 1-P20

When you have advantage, to not get a 20, you have to not roll a 20 twice. The probability of getting a 20 is (1 - the proability of not getting a 20 twice), and as you can see below, is almost 10%. Advantage about doubles you chance of getting a 20. But you probability guessed that since you're rolling twice. 🙂 The chance of getting a 1 is 0.05^2=0.0025, almost 0!

Pnot20*Pnot20
## [1] 0.9025
1 - Pnot20*Pnot20
## [1] 0.0975

How will advantage and disadvantage affect the average roll? This time let's estimate the answer using a simulation. A 1000 trials will give a good estimate.

Trials <-10000

Below we simulate rolling two D20s

set.seed(1)
x <- sample(1:20,Trials,replace = TRUE)
y <- sample(1:20,Trials,replace = TRUE)

When we have advantage, roll two D20 and pick the max. With disadvantage roll two D20 and pick the min.

RollsWithAdvantage <- apply(cbind(x,y), 1,max)
Advantage    <-mean(RollsWithAdvantage)
RollsWithDisadvantage <- apply(cbind(x,y), 1,min)
Disadvantage <-mean(RollsWithDisadvantage)

Below is the simulated advantage mean, the calculated mean of a regular D20 roll, and the simulated disadvantage mean. Advantage adds about 3.4 points and disadvantage subtracts 3.4 or about +/- 17%.

Advantage
## [1] 13.8863
mean(1:20)
## [1] 10.5
Disadvantage
## [1] 7.1287

Below are 3 figures with histograms. The first histogram is made with 10,000 simulated D20 advantage rolls. Advantage moves a lot of probability to the right. The second histogram is made using 10,000 simulated D20 regular rolls. The histogram is approximately flat and each number is at about 0.05% and that's what we calculated. The last histogram is made with 10,000 simulated D20 disadvantage rolls. Disadvantage moves an equal amount to the left.

The probability of getting 11 or better with advantage is 1- probability of getting 10 or less twice. Rolling with advantage moves a 50% chance to a 75% chance!

p10orLess <- 0.5
1 - p10orLess^2
## [1] 0.75

To leave a comment for the author, please follow the link and comment on their blog: Get Your Data On.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)