Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

ThankYou
Ender
ThankYou vs Jin 24–43 35.82%
ThankYou vs Reina 22–39 36.07%
ThankYou vs King 26–34 43.33%
ThankYou vs Hwoarang 14–30 31.82%
ThankYou vs Dragunov 12–29 29.27%
ThankYou vs Yoshimitsu 22–18 55.00%
ThankYou vs Kazuya 13–27 32.50%
ThankYou vs Paul 19–20 48.72%
ThankYou vs Lili 25–13 65.79%
ThankYou vs Steve 15–17 46.88%
ThankYou vs Jun 13–19 40.62%
ThankYou vs Eddy 12–16 42.86%
ThankYou vs Law 12–14 46.15%
ThankYou vs Devil Jin 8–18 30.77%
ThankYou vs Feng 8–18 30.77%
ThankYou vs Bryan 15–9 62.50%
ThankYou vs Nina 12–10 54.55%
ThankYou vs Xiaoyu 5–16 23.81%
ThankYou vs Azucena 12–9 57.14%
ThankYou vs Victor 6–15 28.57%
ThankYou vs Asuka 7–12 36.84%
ThankYou vs Claudio 10–9 52.63%
ThankYou vs Lee 8–9 47.06%
ThankYou vs Lars 8–8 50.00%
ThankYou vs Alisa 4–10 28.57%
ThankYou vs Jack-8 5–8 38.46%
ThankYou vs Kuma 6–5 54.55%
ThankYou vs Leo 4–3 57.14%
ThankYou vs Leroy 2–4 33.33%
ThankYou vs Shaheen 2–3 40.00%
ThankYou vs Panda 0–4 0.00%
ThankYou vs Zafina 2–1 66.67%
ThankYou vs Raven 2–1 66.67%

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.