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.