**About the MLB EloRater** ▪ Rate Some Matchups ▪ View the Ratings

The Elo rating system is a method for calculating the relative skill levels of players in two-player games. The creator of the system, Arpad Elo, was a professor of physics at Marquette University who wanted an improved chess rating system. Although the system has its roots in chess, today it is used in many other games.

We decided to take Elo's work and apply it to the ranking of baseball
players. Our player pool consists of all MLB players who meet *at
least one* of the following career criteria:

- For active players
- 1,100 Innings Pitched
- 3,000 Games + Plate Appearances
- 8 Career War

- For inactive players
- 1,500 Innings Pitched
- 4,500 Games + Plate Appearances
- 10 Career War

All players have an initial rating of 1500 points. These ratings are then updated by randomly selecting pairs of players and having them "play" each other.

We start by computing the win probabilities for each player (let's call them A and B):

P(A wins) = 1 / (1 + 10^((RB - RA) / 400)) P(B wins) = 1 / (1 + 10^((RA - RB) / 400)) where RA = rating for A RB = rating for B

After the winner has been determined, the ratings of the two players are adjusted. If A wins the match then the new ratings are:

RA_new = RA + K * P(B wins) RB_new = RB - K * P(B wins)

The "K" above stands for the "K-factor" and has a value of 24. *(The
K-factor was later changed to 10 --Ed.)*

While if B wins the match then the new ratings are:

RA_new = RA - K * P(A wins) RB_new = RB + K * P(A wins)

For example, suppose Barry Bonds ("BB") has a rating of 2500 and Babe Ruth ("BR") has a rating of 2450. The win probabilities for each player are:

P(BB wins) = 1 / (1 + 10^((2450 - 2500) / 400)) = 0.571 P(BR wins) = 1 / (1 + 10^((2500 - 2450) / 400)) = 0.429

If BB wins then the new ratings are:

BB_new = 2500 + 24 * 0.429 = 2510 BR_new = 2450 - 24 * 0.429 = 2440

While if BR wins then the new ratings are:

BB_new = 2500 - 24 * 0.571 = 2486 BR_new = 2450 + 24 * 0.571 = 2464

Here are a few more notes about the way we have chosen to implement the Elo rating system:

- This is a community-based project with the goal of rating the best players in MLB history. In each matchup, the user should choose the player who they believe was the better player. It is up to the user to determine how much weight to give to offense versus defense, peak value versus career value, regular season versus playoffs, etc.
- Before opening this up to the public we simulated several 100,000 matchups in order to give the players more realistic starting ratings. These starting ratings do not necessarily represent the opinions of the owners of this site.
- Pairs are not chosen completely at random. The first player is randomly selected to begin the process. Following that, a second player with a rating within 375 points of the first player is randomly selected to complete the pair. We did this in order to prevent bizarre choices (e.g., Miguel Cairo over Ted Williams) from distorting the ratings.

As always, please send us some feedback if you have any comments or questions.