Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

UMR0 vs Jin 38–48 44.19%
UMR0 vs Reina 34–50 40.48%
UMR0 vs Steve 32–47 40.51%
UMR0 vs King 22–48 31.43%
UMR0 vs Hwoarang 26–36 41.94%
UMR0 vs Kazuya 22–37 37.29%
UMR0 vs Eddy 16–39 29.09%
UMR0 vs Yoshimitsu 15–33 31.25%
UMR0 vs Lars 9–38 19.15%
UMR0 vs Lili 12–32 27.27%
UMR0 vs Law 18–25 41.86%
UMR0 vs Dragunov 8–35 18.60%
UMR0 vs Azucena 15–27 35.71%
UMR0 vs Bryan 18–23 43.90%
UMR0 vs Lee 11–26 29.73%
UMR0 vs Devil Jin 14–17 45.16%
UMR0 vs Jun 9–21 30.00%
UMR0 vs Victor 5–24 17.24%
UMR0 vs Leroy 7–21 25.00%
UMR0 vs Nina 6–21 22.22%
UMR0 vs Xiaoyu 12–12 50.00%
UMR0 vs Paul 4–19 17.39%
UMR0 vs Kuma 9–13 40.91%
UMR0 vs Claudio 7–14 33.33%
UMR0 vs Asuka 8–11 42.11%
UMR0 vs Raven 6–12 33.33%
UMR0 vs Lidia 8–9 47.06%
UMR0 vs Jack-8 3–11 21.43%
UMR0 vs Alisa 7–7 50.00%
UMR0 vs Shaheen 6–6 50.00%
UMR0 vs Zafina 5–7 41.67%
UMR0 vs Leo 4–7 36.36%
UMR0 vs Feng 3–4 42.86%
UMR0 vs Panda 0–2 0.00%

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.