Abstract
We present a new system for rating the playing strength of table-tennis players. The system is based on Bayesian principles and is designed to handle a large changing population of players, where some players play frequently whereas other players play infrequently. The system takes into account the length of time since a player last played a tournament. When processing matches in a single tournament, the system takes into account how a player's opponents did in the same tournament. The system has been tested by processing data from 51/2 years of tournaments (15549 players and 330079 matches). The system could be adapted to other sports that involve head-to-head competition.
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