Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ewrpnhfg vs Dragunov 64–54 54.24%
ewrpnhfg vs Hwoarang 73–35 67.59%
ewrpnhfg vs Jin 62–44 58.49%
ewrpnhfg vs Kazuya 58–32 64.44%
ewrpnhfg vs Bryan 60–25 70.59%
ewrpnhfg vs Paul 65–19 77.38%
ewrpnhfg vs King 48–30 61.54%
ewrpnhfg vs Heihachi 46–23 66.67%
ewrpnhfg vs Armor King 38–28 57.58%
ewrpnhfg vs Asuka 33–32 50.77%
ewrpnhfg vs Lidia 43–21 67.19%
ewrpnhfg vs Jack-8 34–23 59.65%
ewrpnhfg vs Steve 36–20 64.29%
ewrpnhfg vs Law 38–16 70.37%
ewrpnhfg vs Eddy 34–20 62.96%
ewrpnhfg vs Azucena 33–20 62.26%
ewrpnhfg vs Reina 31–20 60.78%
ewrpnhfg vs Feng 21–26 44.68%
ewrpnhfg vs Lili 31–13 70.45%
ewrpnhfg vs Clive 26–18 59.09%
ewrpnhfg vs Devil Jin 28–15 65.12%
ewrpnhfg vs Lars 23–19 54.76%
ewrpnhfg vs Nina 26–15 63.41%
ewrpnhfg vs Miary Zo 21–17 55.26%
ewrpnhfg vs Claudio 21–15 58.33%
ewrpnhfg vs Victor 18–18 50.00%
ewrpnhfg vs Yoshimitsu 20–15 57.14%
ewrpnhfg vs Xiaoyu 20–15 57.14%
ewrpnhfg vs Fahkumram 20–15 57.14%
ewrpnhfg vs Jun 12–16 42.86%
ewrpnhfg vs Leo 15–12 55.56%
ewrpnhfg vs Alisa 11–15 42.31%
ewrpnhfg vs Shaheen 14–11 56.00%
ewrpnhfg vs Lee 10–13 43.48%
ewrpnhfg vs Leroy 13–8 61.90%
ewrpnhfg vs Raven 5–11 31.25%
ewrpnhfg vs Anna 6–10 37.50%
ewrpnhfg vs Kuma 5–5 50.00%
ewrpnhfg vs Zafina 3–5 37.50%
ewrpnhfg vs Panda 2–2 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.