The top 28, six recent winners and/or the runner-ups as well as the current last place (for reference) are shown. Players with 0% rating reliability are excluded. A golden background of a player’s rating indicates that the player is currently at their personal career high.
My code for the calculations slightly modifies the Glicko system (link to paper).
Glicko Rating [97.5%] = r - 1.96 * RD
i.e., the true strength (rating) of a player is higher than the respective value in the ranking table with 97.5% certainty based on the system methodology
Each player has two values that determine their Glicko Rating at any point:
true strength (rating) predictor
every new player starts at 1500
changes only when player participates in a game, based on various factors (e.g., RD)
every new player starts at 350
decreases when player is involved in a game of a tournament week, based on various factors
increases for player before each tournament week, up to a maximum of 350 (based on c = 35)
reliability = (350 - RD) / 350
Please let me know if you have any feedback, questions, or suggestions for improvements. Also, feel free to discuss the results.
For further details on the games considered, refer to the replies in this thread.