Adjusted Ranked Leaderboard, 12/6/17

Solo Queue Adjusted Ranked Leaderboard — as of 12/6/17
Updates Wednesdays

Rank Player Points Start Adjustment Games Played Alternative Points Adjusted Raw Score
1 KoyoteKamper 2144 700 253 1414 60.9%
2 TheDoc29 2144 700 309 1155 57.2%
3 Tiggarius 1494 800 192 961 61.8%
4 donJay 1090 700 135 742 63.8%
5 Ibsen 1210 700 202 572 57.1%
6 Szopen 1078 700 177 535 58.0%
7 Mosol 1530 700 300 488 53.7%
8 Lebron23 2143 700 478 374 51.5%
9 Dart 1484 700 315 366 52.8%
10 Blatm 1094 500 224 305 52.7%
11 Leon 1452 700 354 149 51.3%
12 Darkcrowpnoi 929 700 242 63 52.1%
13 Hevol 900 700 238 48 52.0%
14 ReadManiak 646 700 177 36 53.2%
15 Shichikouhouju 360 700 106 34 56.8%
only 15 players in adjusted masters+

PREVIOUS SYSTEM:  Solo Queue Adjusted Ranked Leaderboard

Rank Player Points (in Masters / Contender) Games Played Adjusted Score (%)
1 donJay 1090 135 63.79%
2 KoyoteKamper 2144 253 60.91%
3 Tiggarius 1494 192 60.82%
4 Szopen 1078 177 57.97%
5 magister 30 65 57.95%
6 TheDoc29 2144 309 57.22%
7 Ibsen 1210 202 57.05%
8 Shichikouhouju 360 106 56.81%
9 Pogchamp 156 94 54.76%
10 Blatm 1094 224 54.41%
11 Mosol 1530 300 53.74%
12 ReadManiak 646 177 53.21%
13 Dart 1484 315 52.84%
14 Kochevnik -147 64 52.77%
15 Seigelord 397 149 52.40%
16 Darkcrowpnoi 929 242 52.06%
17 Hevol 900 238 52.01%
18 Beric 631 194 51.93%
19 Lebron23 2143 478 51.47%
20 Leon 1452 354 51.35%

Methodology:

  • 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.

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