Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

miles vs Reina 83–56 59.71%
miles vs Jin 84–48 63.64%
miles vs Bryan 87–44 66.41%
miles vs Kazuya 74–50 59.68%
miles vs Dragunov 67–37 64.42%
miles vs Hwoarang 69–33 67.65%
miles vs Devil Jin 66–27 70.97%
miles vs Lee 60–30 66.67%
miles vs King 49–34 59.04%
miles vs Azucena 58–25 69.88%
miles vs Steve 48–28 63.16%
miles vs Yoshimitsu 42–32 56.76%
miles vs Heihachi 34–39 46.58%
miles vs Law 44–27 61.97%
miles vs Nina 37–31 54.41%
miles vs Lili 42–22 65.62%
miles vs Leo 42–16 72.41%
miles vs Lidia 28–30 48.28%
miles vs Paul 29–28 50.88%
miles vs Xiaoyu 36–18 66.67%
miles vs Feng 33–17 66.00%
miles vs Eddy 28–20 58.33%
miles vs Asuka 31–16 65.96%
miles vs Victor 23–17 57.50%
miles vs Zafina 20–18 52.63%
miles vs Jack-8 25–12 67.57%
miles vs Lars 24–12 66.67%
miles vs Jun 20–13 60.61%
miles vs Leroy 15–14 51.72%
miles vs Raven 17–12 58.62%
miles vs Alisa 17–10 62.96%
miles vs Shaheen 17–10 62.96%
miles vs Clive 8–15 34.78%
miles vs Claudio 13–6 68.42%
miles vs Kuma 14–5 73.68%
miles vs Panda 5–4 55.56%

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.