Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

oooo
tomfoolery
nocap
Tomfoolery
Pishong
oooo vs Kazuya 277–271 50.55%
oooo vs Jin 229–288–1 44.29%
oooo vs Dragunov 194–247 43.99%
oooo vs Reina 183–199 47.91%
oooo vs Bryan 125–187 40.06%
oooo vs King 122–175 41.08%
oooo vs Lili 142–129 52.40%
oooo vs Steve 87–131 39.91%
oooo vs Devil Jin 97–121 44.50%
oooo vs Lee 84–124 40.38%
oooo vs Yoshimitsu 89–102 46.60%
oooo vs Law 76–111 40.64%
oooo vs Hwoarang 94–92 50.54%
oooo vs Lidia 77–99 43.75%
oooo vs Heihachi 81–95 46.02%
oooo vs Victor 76–97 43.93%
oooo vs Paul 54–110 32.93%
oooo vs Asuka 55–101 35.26%
oooo vs Jun 89–65 57.79%
oooo vs Alisa 60–58 50.85%
oooo vs Xiaoyu 45–63 41.67%
oooo vs Feng 35–73 32.41%
oooo vs Lars 44–60 42.31%
oooo vs Leo 43–58 42.57%
oooo vs Azucena 42–51 45.16%
oooo vs Clive 51–42 54.84%
oooo vs Nina 35–49 41.67%
oooo vs Claudio 25–50 33.33%
oooo vs Eddy 22–49 30.99%
oooo vs Leroy 34–36 48.57%
oooo vs Jack-8 27–33 45.00%
oooo vs Shaheen 21–35 37.50%
oooo vs Raven 19–35 35.19%
oooo vs Kuma 13–24 35.14%
oooo vs Zafina 14–17 45.16%
oooo vs Panda 6–14 30.00%

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.