Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

匿名用戶682 vs Kazuya 34–38 47.22%
匿名用戶682 vs King 29–29 50.00%
匿名用戶682 vs Jin 16–32 33.33%
匿名用戶682 vs Hwoarang 20–27 42.55%
匿名用戶682 vs Dragunov 19–19 50.00%
匿名用戶682 vs Reina 20–18 52.63%
匿名用戶682 vs Paul 16–16 50.00%
匿名用戶682 vs Azucena 14–15 48.28%
匿名用戶682 vs Asuka 14–11 56.00%
匿名用戶682 vs Victor 10–15 40.00%
匿名用戶682 vs Steve 9–14 39.13%
匿名用戶682 vs Bryan 7–13 35.00%
匿名用戶682 vs Eddy 9–11 45.00%
匿名用戶682 vs Jun 8–11 42.11%
匿名用戶682 vs Xiaoyu 3–15 16.67%
匿名用戶682 vs Alisa 8–10 44.44%
匿名用戶682 vs Devil Jin 7–10 41.18%
匿名用戶682 vs Leroy 7–10 41.18%
匿名用戶682 vs Yoshimitsu 1–15 6.25%
匿名用戶682 vs Lili 6–10 37.50%
匿名用戶682 vs Jack-8 9–6 60.00%
匿名用戶682 vs Law 5–9 35.71%
匿名用戶682 vs Nina 7–5 58.33%
匿名用戶682 vs Claudio 10–1 90.91%
匿名用戶682 vs Lars 3–7 30.00%
匿名用戶682 vs Shaheen 5–5 50.00%
匿名用戶682 vs Leo 3–6 33.33%
匿名用戶682 vs Feng 2–6 25.00%
匿名用戶682 vs Lee 2–6 25.00%
匿名用戶682 vs Raven 1–7 12.50%
匿名用戶682 vs Kuma 0–4 0.00%
匿名用戶682 vs Zafina 2–1 66.67%
匿名用戶682 vs Lidia 1–2 33.33%
匿名用戶682 vs Panda 1–0 100.00%

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.