Someone on digg posted a variant of this question on Quora: “What are the chances of survival of individual chess pieces on average.” In reply, Oliver Brennan, a chess aficionado and computer programmer, posted this answer:

Image credit: Oliver Brennan

**Update** (25 Oct. 2014): The excellent Ada Swanson interprets this probabilistic chess board as follows (emphasis ours):

The **kings** have the highest survival rate … because they can’t be taken. **Rooks** also tend to be hardy because they spend a lot of time at the back of the board and are generally more active in endgames. The **knights** and **central pawns** have the lowest survival rates. Many popular openings involve **d** and **e** **pawns** undertaking suicide missions, which are sometimes counter-attacked with **c** **pawns**. The **wing pawns** have a higher survival rate, prompting one forum user to comment …, “If you can’t be the king, be the little guy hiding in the corner.”

### Like this:

Like Loading...

##
About F. E. Guerra-Pujol

When I’m not blogging, I am a business law professor at the University of Central Florida.

Reblogged this on Chess Musings and commented:

Fascinating.

Did the movie “Fresh” inspire you to write about chess?

Perhaps!

Pingback: Assorted links

Pingback: Till the End of the Day | Verities and Vagaries

The most interesting thing is that A1=/H8. This implies that the position of one’s King affects the relative chances of survival of one’s pieces. For example, the lower player on the above board has an average survival chance of 55.4% for his Rooks, which is merely 55% for his opponent. How do they decide who gets which color in professional chess?

Color is randomized. You alternate in world championship match, in a tournament you alternate between playing white and black with the color in the first game random and the higher ranked players color winning out if the computer cannot pair two people with the same score and opposite color.

Thanks for clarifying this

Pingback: Vox Sentences: Details emerge on the Canadian parliament shooting - Vox

Pingback: Vox Sentences: Details emerge on the Canadian parliament shooting | c7c World

Pingback: Interwebbed: Cyber and Crypto News for October 24th | The Cryptosphere

Pingback: The Survival Rates of Chessman or Who Would Be a Knight? | robertbyron22

Pingback: Somewhere else, part 177 | Freakonometrics

Pingback: 2 on chess - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science

Pingback: Blog post #1001 | prior probability

Pingback: Top three list | prior probability

Pingback: Survival in chessland | prior probability

Reblogged this on prior probability and commented:

I posted “Chess piece survival rates” here five years ago. Enjoy!