Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Namaste&Win vs King 60–82 42.25%
Namaste&Win vs Kazuya 45–46 49.45%
Namaste&Win vs Jin 40–46 46.51%
Namaste&Win vs Hwoarang 45–37 54.88%
Namaste&Win vs Steve 29–51 36.25%
Namaste&Win vs Eddy 36–37 49.32%
Namaste&Win vs Reina 31–40 43.66%
Namaste&Win vs Bryan 33–32 50.77%
Namaste&Win vs Law 27–35 43.55%
Namaste&Win vs Asuka 14–34 29.17%
Namaste&Win vs Victor 21–26 44.68%
Namaste&Win vs Heihachi 23–22 51.11%
Namaste&Win vs Feng 16–28 36.36%
Namaste&Win vs Dragunov 25–19 56.82%
Namaste&Win vs Jun 17–27 38.64%
Namaste&Win vs Lili 18–25 41.86%
Namaste&Win vs Azucena 25–18 58.14%
Namaste&Win vs Nina 16–22 42.11%
Namaste&Win vs Lee 17–18 48.57%
Namaste&Win vs Raven 10–22 31.25%
Namaste&Win vs Yoshimitsu 8–23 25.81%
Namaste&Win vs Paul 11–18 37.93%
Namaste&Win vs Leo 13–16 44.83%
Namaste&Win vs Lars 13–15 46.43%
Namaste&Win vs Alisa 11–16 40.74%
Namaste&Win vs Leroy 11–16 40.74%
Namaste&Win vs Kuma 11–15 42.31%
Namaste&Win vs Lidia 4–18 18.18%
Namaste&Win vs Claudio 10–10 50.00%
Namaste&Win vs Jack-8 10–7 58.82%
Namaste&Win vs Clive 5–11 31.25%
Namaste&Win vs Xiaoyu 8–4 66.67%
Namaste&Win vs Devil Jin 2–6 25.00%
Namaste&Win vs Zafina 5–1 83.33%
Namaste&Win vs Shaheen 3–2 60.00%
Namaste&Win vs Panda 1–3 25.00%

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.