Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

bobthemonkey vs Kazuya 72–42 63.16%
bobthemonkey vs Bryan 55–30 64.71%
bobthemonkey vs Steve 30–48 38.46%
bobthemonkey vs Hwoarang 50–27 64.94%
bobthemonkey vs Paul 49–24 67.12%
bobthemonkey vs Jin 35–34 50.72%
bobthemonkey vs Dragunov 26–39 40.00%
bobthemonkey vs Lidia 46–17 73.02%
bobthemonkey vs Law 34–26 56.67%
bobthemonkey vs King 31–27 53.45%
bobthemonkey vs Clive 32–22 59.26%
bobthemonkey vs Reina 32–19 62.75%
bobthemonkey vs Asuka 31–19 62.00%
bobthemonkey vs Lee 28–19 59.57%
bobthemonkey vs Yoshimitsu 14–29 32.56%
bobthemonkey vs Lili 24–18 57.14%
bobthemonkey vs Lars 25–16 60.98%
bobthemonkey vs Leo 21–12 63.64%
bobthemonkey vs Raven 17–16 51.52%
bobthemonkey vs Devil Jin 17–14 54.84%
bobthemonkey vs Feng 15–13 53.57%
bobthemonkey vs Xiaoyu 14–11 56.00%
bobthemonkey vs Azucena 15–10 60.00%
bobthemonkey vs Alisa 13–11 54.17%
bobthemonkey vs Nina 14–10 58.33%
bobthemonkey vs Eddy 8–16 33.33%
bobthemonkey vs Jun 16–7 69.57%
bobthemonkey vs Victor 14–8 63.64%
bobthemonkey vs Leroy 6–13 31.58%
bobthemonkey vs Jack-8 4–12 25.00%
bobthemonkey vs Claudio 9–6 60.00%
bobthemonkey vs Shaheen 5–8 38.46%
bobthemonkey vs Heihachi 8–4 66.67%
bobthemonkey vs Panda 6–3 66.67%
bobthemonkey vs Kuma 3–4 42.86%
bobthemonkey vs Zafina 2–2 50.00%

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.