Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

tuun vs King 85–72 54.14%
tuun vs Reina 79–53 59.85%
tuun vs Lili 60–58 50.85%
tuun vs Jin 62–49 55.86%
tuun vs Asuka 59–48 55.14%
tuun vs Paul 55–50 52.38%
tuun vs Hwoarang 52–51 50.49%
tuun vs Bryan 47–51 47.96%
tuun vs Dragunov 37–59 38.54%
tuun vs Steve 51–42 54.84%
tuun vs Kazuya 46–45 50.55%
tuun vs Jun 44–32 57.89%
tuun vs Yoshimitsu 37–38 49.33%
tuun vs Victor 36–38 48.65%
tuun vs Feng 28–40 41.18%
tuun vs Alisa 31–35 46.97%
tuun vs Azucena 37–29 56.06%
tuun vs Lars 31–33 48.44%
tuun vs Leroy 29–33 46.77%
tuun vs Lee 31–28 52.54%
tuun vs Jack-8 24–34 41.38%
tuun vs Devil Jin 30–27 52.63%
tuun vs Xiaoyu 34–21 61.82%
tuun vs Eddy 25–24 51.02%
tuun vs Nina 23–25 47.92%
tuun vs Law 22–25 46.81%
tuun vs Leo 23–20 53.49%
tuun vs Claudio 19–21 47.50%
tuun vs Kuma 17–23 42.50%
tuun vs Raven 14–16 46.67%
tuun vs Zafina 14–11 56.00%
tuun vs Lidia 7–16 30.43%
tuun vs Shaheen 2–17 10.53%
tuun vs Anna 4–9 30.77%
tuun vs Panda 6–6 50.00%
tuun vs Heihachi 4–8 33.33%
tuun vs Clive 3–5 37.50%

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.