Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

NotHimanshu
Nothimanshu
NotHimanshu vs King 82–72 53.25%
NotHimanshu vs Kazuya 79–75 51.30%
NotHimanshu vs Jin 68–79 46.26%
NotHimanshu vs Paul 71–69 50.71%
NotHimanshu vs Law 49–62 44.14%
NotHimanshu vs Yoshimitsu 45–49 47.87%
NotHimanshu vs Dragunov 42–39 51.85%
NotHimanshu vs Heihachi 39–34 53.42%
NotHimanshu vs Bryan 34–36 48.57%
NotHimanshu vs Devil Jin 31–35 46.97%
NotHimanshu vs Reina 29–33 46.77%
NotHimanshu vs Hwoarang 30–31 49.18%
NotHimanshu vs Victor 27–32 45.76%
NotHimanshu vs Nina 25–29 46.30%
NotHimanshu vs Eddy 31–18 63.27%
NotHimanshu vs Steve 23–25 47.92%
NotHimanshu vs Alisa 17–27 38.64%
NotHimanshu vs Azucena 23–21 52.27%
NotHimanshu vs Lars 21–17 55.26%
NotHimanshu vs Feng 10–25 28.57%
NotHimanshu vs Lili 12–23 34.29%
NotHimanshu vs Lee 21–13 61.76%
NotHimanshu vs Leo 13–16 44.83%
NotHimanshu vs Lidia 16–9 64.00%
NotHimanshu vs Asuka 11–10 52.38%
NotHimanshu vs Claudio 7–11 38.89%
NotHimanshu vs Jun 9–8 52.94%
NotHimanshu vs Xiaoyu 4–11 26.67%
NotHimanshu vs Shaheen 6–9 40.00%
NotHimanshu vs Raven 6–8 42.86%
NotHimanshu vs Leroy 4–9 30.77%
NotHimanshu vs Jack-8 3–7 30.00%
NotHimanshu vs Kuma 3–7 30.00%
NotHimanshu vs Zafina 3–4 42.86%
NotHimanshu vs Panda 2–1 66.67%
NotHimanshu vs Clive 1–0 100.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.