Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
NeverTired

Ratings

Name history

NeverTired
Sol4
NeverTired vs Kazuya 151–172 46.75%
NeverTired vs Jin 167–149 52.85%
NeverTired vs King 129–163 44.18%
NeverTired vs Reina 132–134 49.62%
NeverTired vs Law 134–124 51.94%
NeverTired vs Hwoarang 127–124 50.60%
NeverTired vs Bryan 96–129 42.67%
NeverTired vs Steve 95–128 42.60%
NeverTired vs Dragunov 71–114 38.38%
NeverTired vs Eddy 93–88 51.38%
NeverTired vs Heihachi 87–92 48.60%
NeverTired vs Jun 84–85 49.70%
NeverTired vs Lili 72–94 43.37%
NeverTired vs Lars 69–95 42.07%
NeverTired vs Azucena 79–74 51.63%
NeverTired vs Yoshimitsu 66–84 44.00%
NeverTired vs Paul 68–81 45.64%
NeverTired vs Xiaoyu 70–67 51.09%
NeverTired vs Lidia 65–66 49.62%
NeverTired vs Victor 57–66 46.34%
NeverTired vs Lee 47–74 38.84%
NeverTired vs Asuka 46–67 40.71%
NeverTired vs Devil Jin 53–50 51.46%
NeverTired vs Feng 46–57 44.66%
NeverTired vs Nina 39–60 39.39%
NeverTired vs Leo 35–52 40.23%
NeverTired vs Leroy 37–41 47.44%
NeverTired vs Raven 33–43 43.42%
NeverTired vs Clive 31–35 46.97%
NeverTired vs Alisa 32–31 50.79%
NeverTired vs Zafina 21–31 40.38%
NeverTired vs Jack-8 15–30 33.33%
NeverTired vs Claudio 17–28 37.78%
NeverTired vs Kuma 17–24 41.46%
NeverTired vs Shaheen 11–18 37.93%
NeverTired vs Panda 8–9 47.06%

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.