Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Vanquish vs King 76–122 38.38%
Vanquish vs Jin 72–114 38.71%
Vanquish vs Kazuya 65–86–1 43.05%
Vanquish vs Reina 81–41 66.39%
Vanquish vs Law 56–61 47.86%
Vanquish vs Hwoarang 54–63 46.15%
Vanquish vs Bryan 40–73 35.40%
Vanquish vs Steve 50–53 48.54%
Vanquish vs Heihachi 50–50 50.00%
Vanquish vs Dragunov 33–51 39.29%
Vanquish vs Yoshimitsu 26–55 32.10%
Vanquish vs Clive 39–40 49.37%
Vanquish vs Devil Jin 31–41 43.06%
Vanquish vs Lili 36–36 50.00%
Vanquish vs Asuka 23–48 32.39%
Vanquish vs Nina 31–40 43.66%
Vanquish vs Jun 33–37 47.14%
Vanquish vs Armor King 18–51 26.09%
Vanquish vs Paul 21–41 33.87%
Vanquish vs Azucena 22–31 41.51%
Vanquish vs Lee 20–31 39.22%
Vanquish vs Victor 13–35 27.08%
Vanquish vs Lidia 19–29 39.58%
Vanquish vs Eddy 16–30 34.78%
Vanquish vs Xiaoyu 21–21 50.00%
Vanquish vs Feng 14–27 34.15%
Vanquish vs Leroy 22–18 55.00%
Vanquish vs Alisa 10–28 26.32%
Vanquish vs Claudio 14–19 42.42%
Vanquish vs Jack-8 10–18 35.71%
Vanquish vs Leo 13–15 46.43%
Vanquish vs Anna 9–17 34.62%
Vanquish vs Lars 8–16 33.33%
Vanquish vs Shaheen 9–13 40.91%
Vanquish vs Fahkumram 7–15 31.82%
Vanquish vs Raven 6–15 28.57%
Vanquish vs Miary Zo 7–13 35.00%
Vanquish vs Zafina 8–8 50.00%
Vanquish vs Kuma 1–7 12.50%
Vanquish vs Panda 0–1 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.