Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

disaster vs Kazuya 85–85 50.00%
disaster vs Reina 77–60 56.20%
disaster vs Bryan 66–63 51.16%
disaster vs Dragunov 56–69 44.80%
disaster vs Hwoarang 55–68 44.72%
disaster vs Paul 69–51 57.50%
disaster vs Jin 58–57 50.43%
disaster vs King 55–56 49.55%
disaster vs Lili 66–40 62.26%
disaster vs Asuka 41–48 46.07%
disaster vs Heihachi 43–38 53.09%
disaster vs Steve 36–44 45.00%
disaster vs Yoshimitsu 38–41 48.10%
disaster vs Law 28–42 40.00%
disaster vs Victor 26–38 40.62%
disaster vs Devil Jin 25–38 39.68%
disaster vs Lars 30–30 50.00%
disaster vs Claudio 25–26 49.02%
disaster vs Nina 18–33 35.29%
disaster vs Lidia 20–29 40.82%
disaster vs Azucena 26–21 55.32%
disaster vs Clive 19–25 43.18%
disaster vs Anna 23–21 52.27%
disaster vs Jun 17–24 41.46%
disaster vs Feng 9–29 23.68%
disaster vs Lee 15–23 39.47%
disaster vs Fahkumram 15–21 41.67%
disaster vs Xiaoyu 9–25 26.47%
disaster vs Eddy 14–17 45.16%
disaster vs Kuma 16–13 55.17%
disaster vs Jack-8 9–19 32.14%
disaster vs Armor King 12–16 42.86%
disaster vs Leo 10–16 38.46%
disaster vs Alisa 7–17 29.17%
disaster vs Shaheen 8–15 34.78%
disaster vs Leroy 10–9 52.63%
disaster vs Raven 6–13 31.58%
disaster vs Miary Zo 9–10 47.37%
disaster vs Zafina 5–9 35.71%
disaster vs Panda 4–5 44.44%

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.