Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TTDT | JOJOLARS vs Hwoarang 137–142 49.10%
TTDT | JOJOLARS vs Bryan 137–124 52.49%
TTDT | JOJOLARS vs Jin 119–83 58.91%
TTDT | JOJOLARS vs Kazuya 123–64 65.78%
TTDT | JOJOLARS vs Dragunov 86–92 48.31%
TTDT | JOJOLARS vs King 76–88 46.34%
TTDT | JOJOLARS vs Steve 83–78 51.55%
TTDT | JOJOLARS vs Asuka 78–78 50.00%
TTDT | JOJOLARS vs Victor 71–78 47.65%
TTDT | JOJOLARS vs Yoshimitsu 71–71 50.00%
TTDT | JOJOLARS vs Lars 74–66 52.86%
TTDT | JOJOLARS vs Lili 61–70 46.56%
TTDT | JOJOLARS vs Law 55–73 42.97%
TTDT | JOJOLARS vs Paul 62–65 48.82%
TTDT | JOJOLARS vs Jun 70–52 57.38%
TTDT | JOJOLARS vs Alisa 66–55 54.55%
TTDT | JOJOLARS vs Feng 64–53 54.70%
TTDT | JOJOLARS vs Reina 62–52 54.39%
TTDT | JOJOLARS vs Lee 48–64 42.86%
TTDT | JOJOLARS vs Leo 65–43 60.19%
TTDT | JOJOLARS vs Zafina 53–53 50.00%
TTDT | JOJOLARS vs Xiaoyu 48–51 48.48%
TTDT | JOJOLARS vs Devil Jin 53–46 53.54%
TTDT | JOJOLARS vs Shaheen 52–45 53.61%
TTDT | JOJOLARS vs Jack-8 52–35 59.77%
TTDT | JOJOLARS vs Lidia 45–42 51.72%
TTDT | JOJOLARS vs Raven 36–47 43.37%
TTDT | JOJOLARS vs Claudio 37–43 46.25%
TTDT | JOJOLARS vs Nina 36–43 45.57%
TTDT | JOJOLARS vs Azucena 34–41 45.33%
TTDT | JOJOLARS vs Eddy 25–50 33.33%
TTDT | JOJOLARS vs Clive 37–33 52.86%
TTDT | JOJOLARS vs Heihachi 30–36 45.45%
TTDT | JOJOLARS vs Leroy 41–24 63.08%
TTDT | JOJOLARS vs Armor King 27–37 42.19%
TTDT | JOJOLARS vs Anna 34–27 55.74%
TTDT | JOJOLARS vs Fahkumram 24–16 60.00%
TTDT | JOJOLARS vs Miary Zo 14–21 40.00%
TTDT | JOJOLARS vs Kuma 19–13 59.38%
TTDT | JOJOLARS vs Panda 8–7 53.33%

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.