Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

tumboqueso_ vs Reina 50–37 57.47%
tumboqueso_ vs King 42–41 50.60%
tumboqueso_ vs Jin 47–33 58.75%
tumboqueso_ vs Law 34–38 47.22%
tumboqueso_ vs Steve 29–43 40.28%
tumboqueso_ vs Lili 36–34 51.43%
tumboqueso_ vs Kazuya 29–35 45.31%
tumboqueso_ vs Yoshimitsu 30–29 50.85%
tumboqueso_ vs Bryan 26–33 44.07%
tumboqueso_ vs Dragunov 29–27 51.79%
tumboqueso_ vs Jun 38–18 67.86%
tumboqueso_ vs Nina 23–25 47.92%
tumboqueso_ vs Hwoarang 31–16 65.96%
tumboqueso_ vs Paul 32–14 69.57%
tumboqueso_ vs Feng 25–21 54.35%
tumboqueso_ vs Xiaoyu 24–18 57.14%
tumboqueso_ vs Azucena 24–15 61.54%
tumboqueso_ vs Lars 23–13 63.89%
tumboqueso_ vs Alisa 20–14 58.82%
tumboqueso_ vs Lee 17–17 50.00%
tumboqueso_ vs Asuka 18–14 56.25%
tumboqueso_ vs Devil Jin 16–12 57.14%
tumboqueso_ vs Leroy 11–17 39.29%
tumboqueso_ vs Jack-8 14–13 51.85%
tumboqueso_ vs Eddy 11–16 40.74%
tumboqueso_ vs Victor 17–9 65.38%
tumboqueso_ vs Raven 15–11 57.69%
tumboqueso_ vs Leo 14–10 58.33%
tumboqueso_ vs Kuma 6–14 30.00%
tumboqueso_ vs Claudio 13–4 76.47%
tumboqueso_ vs Zafina 6–10 37.50%
tumboqueso_ vs Lidia 10–5 66.67%
tumboqueso_ vs Shaheen 7–7 50.00%
tumboqueso_ vs Panda 5–9 35.71%
tumboqueso_ vs Heihachi 6–7 46.15%
tumboqueso_ vs Anna 5–8 38.46%
tumboqueso_ vs Clive 1–1 50.00%

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.