Solo Queue Adjusted Ranked Leaderboard — as of 12/6/17
|Rank||Player||Points||Start Adjustment||Games Played||Alternative Points||Adjusted Raw Score|
|only 15 players in adjusted masters+|
PREVIOUS SYSTEM: Solo Queue Adjusted Ranked Leaderboard
|Rank||Player||Points (in Masters / Contender)||Games Played||Adjusted Score (%)|
- Assumes everyone starts at Rank 7. Unfortunately I don’t know where everyone started exactly, so if you started below that know that you’ve done better than this reflects (and vice versa).
- I then calculate an approximate win % based on 30 points for a win and 22 for a loss. (Yes, I know this isn’t exactly how the points work prior to reaching Masters, but the Rank 7 was an approximation anyway.)
- Using an approximation for uncertainty, I then adjust the scores slightly downward. (Basically, assuming you got relatively lucky over the sample size — this variance decreases as you play more games, which makes sense. A player with 55% winrate over 800 games is likely better than a player with 55% winrate over 100 games, or at least more likely to truly be playing at a 55% winrate.)
- I have the data and calculations backing this up, but am not listing all of that here to keep things simple.
- Data updates every Wednesday to reflect that week of games. Current data as of December 6, 2017.
- Only players who are (a) in Contender or (b) on my friends list and in Masters+ are eligible to be listed here. (Exception: Kochevnik was added though not yet in Masters for SoloQ.)
- I have listed the Top 20 only — “Adjusted Contender.” I have done the calculations for an additional 20 (21-40) — these are “Adjusted Masters.” I haven’t posted that data here but it is available upon request.
- This is just a v1 and will likely get updated for formatting and stuff.
- This is only an approximation of your Solo Queue statistics this season and does not necessarily reflect your overall skill as a player.
- I have done several other ranking adjustment methods, some of which I like slightly better because it discourages “camping” (i.e. the current #1 player could likely not play another game of Ranked this season and finish #1, which isn’t really something I want to incentivize in my system. The uncertainty mitigates this somewhat, but some of my other adjustment methods do it even more. Leaderboard for alternative methodologies available upon request).
- New system as of 12/13/17 — calculate Alternative Points to incentivize continued play and improvement. Alternative Points are an estimate of what your current points would be if you got 30 for a win and 30 for a loss (based on your estimated win percentage). Adjusted Raw Scores are also listed, though do not directly determine the rankings — these are approximately one standard deviation below your estimated win percentage (comes out to ~2-4% for most players). Anything above 55% is highlighted in bold.