Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TTDT | JOJOLARS vs Hwoarang 142–142 50.00%
TTDT | JOJOLARS vs Bryan 148–126 54.01%
TTDT | JOJOLARS vs Jin 129–94 57.85%
TTDT | JOJOLARS vs Kazuya 128–68 65.31%
TTDT | JOJOLARS vs Dragunov 89–96 48.11%
TTDT | JOJOLARS vs King 78–98 44.32%
TTDT | JOJOLARS vs Steve 85–79 51.83%
TTDT | JOJOLARS vs Asuka 79–80 49.69%
TTDT | JOJOLARS vs Victor 75–84 47.17%
TTDT | JOJOLARS vs Lars 80–72 52.63%
TTDT | JOJOLARS vs Yoshimitsu 74–73 50.34%
TTDT | JOJOLARS vs Law 62–78 44.29%
TTDT | JOJOLARS vs Lili 65–71 47.79%
TTDT | JOJOLARS vs Jun 75–57 56.82%
TTDT | JOJOLARS vs Alisa 70–61 53.44%
TTDT | JOJOLARS vs Paul 62–66 48.44%
TTDT | JOJOLARS vs Feng 69–57 54.76%
TTDT | JOJOLARS vs Lee 48–68 41.38%
TTDT | JOJOLARS vs Reina 63–52 54.78%
TTDT | JOJOLARS vs Zafina 57–54 51.35%
TTDT | JOJOLARS vs Xiaoyu 55–54 50.46%
TTDT | JOJOLARS vs Leo 65–43 60.19%
TTDT | JOJOLARS vs Shaheen 57–48 54.29%
TTDT | JOJOLARS vs Lidia 53–51 50.96%
TTDT | JOJOLARS vs Devil Jin 54–49 52.43%
TTDT | JOJOLARS vs Jack-8 53–36 59.55%
TTDT | JOJOLARS vs Raven 36–48 42.86%
TTDT | JOJOLARS vs Azucena 39–43 47.56%
TTDT | JOJOLARS vs Claudio 37–44 45.68%
TTDT | JOJOLARS vs Clive 41–39 51.25%
TTDT | JOJOLARS vs Nina 36–43 45.57%
TTDT | JOJOLARS vs Eddy 25–50 33.33%
TTDT | JOJOLARS vs Heihachi 32–39 45.07%
TTDT | JOJOLARS vs Armor King 31–40 43.66%
TTDT | JOJOLARS vs Leroy 41–24 63.08%
TTDT | JOJOLARS vs Anna 37–28 56.92%
TTDT | JOJOLARS vs Fahkumram 29–19 60.42%
TTDT | JOJOLARS vs Miary Zo 17–23 42.50%
TTDT | JOJOLARS vs Kuma 19–13 59.38%
TTDT | JOJOLARS vs Panda 9–8 52.94%

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.