Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
‎ ‎ ‎ ‎ ‎ ‎ ‎

Ratings

‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Reina 71–54 56.80%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Yoshimitsu 50–36 58.14%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Steve 47–33 58.75%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Jin 40–38 51.28%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Dragunov 36–39 48.00%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs King 38–34 52.78%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Hwoarang 35–36 49.30%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Bryan 37–28 56.92%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Lili 28–32 46.67%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Leo 26–33 44.07%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Lars 38–20 65.52%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Kazuya 35–19 64.81%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Eddy 25–29 46.30%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Raven 26–25 50.98%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Lee 31–18 63.27%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Paul 26–21 55.32%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Jack-8 26–19 57.78%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Law 19–23 45.24%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Devil Jin 16–26 38.10%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Feng 20–22 47.62%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Alisa 22–20 52.38%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Nina 19–21 47.50%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Jun 22–16 57.89%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Victor 15–19 44.12%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Asuka 14–18 43.75%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Azucena 11–19 36.67%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Xiaoyu 13–10 56.52%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Kuma 9–13 40.91%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Claudio 14–7 66.67%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Zafina 7–9 43.75%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Leroy 9–4 69.23%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Shaheen 3–6 33.33%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Panda 2–4 33.33%
‎ ‎ ‎ ‎ ‎ ‎ ‎ vs Lidia 2–0 100.00%

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.