Waiting for Season 3? Try out c7, which now has Wavu Wank7.

Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Gramps vs Bryan 142–98 59.17%
Gramps vs Hwoarang 122–113 51.91%
Gramps vs King 136–94 59.13%
Gramps vs Jin 111–118 48.47%
Gramps vs Kazuya 136–88 60.71%
Gramps vs Steve 118–95 55.40%
Gramps vs Law 107–82 56.61%
Gramps vs Azucena 104–74 58.43%
Gramps vs Reina 89–82 52.05%
Gramps vs Lili 76–86 46.91%
Gramps vs Dragunov 87–74 54.04%
Gramps vs Lars 79–74–1 51.63%
Gramps vs Feng 76–67 53.15%
Gramps vs Armor King 71–71 50.00%
Gramps vs Yoshimitsu 89–50 64.03%
Gramps vs Lee 78–60 56.52%
Gramps vs Paul 78–58 57.35%
Gramps vs Devil Jin 69–65 51.49%
Gramps vs Asuka 61–70 46.56%
Gramps vs Eddy 71–48 59.66%
Gramps vs Leo 66–50 56.90%
Gramps vs Jun 63–49 56.25%
Gramps vs Lidia 53–57 48.18%
Gramps vs Jack-8 62–46 57.41%
Gramps vs Leroy 44–63 41.12%
Gramps vs Xiaoyu 55–51 51.89%
Gramps vs Raven 61–44 58.10%
Gramps vs Alisa 54–42 56.25%
Gramps vs Victor 41–54 43.16%
Gramps vs Nina 53–37 58.89%
Gramps vs Claudio 46–38 54.76%
Gramps vs Zafina 39–40 49.37%
Gramps vs Shaheen 34–39 46.58%
Gramps vs Heihachi 35–36 49.30%
Gramps vs Clive 40–18 68.97%
Gramps vs Anna 23–33 41.07%
Gramps vs Kuma 25–15 62.50%
Gramps vs Miary Zo 19–11 63.33%
Gramps vs Panda 11–14 44.00%
Gramps vs Fahkumram 7–5 58.33%

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.