Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

sakuraissan
san_san!!
sakuraissan vs King 61–81 42.96%
sakuraissan vs Jin 57–61 48.31%
sakuraissan vs Yoshimitsu 55–61 47.41%
sakuraissan vs Kazuya 60–50 54.55%
sakuraissan vs Dragunov 41–60 40.59%
sakuraissan vs Reina 62–38 62.00%
sakuraissan vs Bryan 38–53 41.76%
sakuraissan vs Paul 35–36 49.30%
sakuraissan vs Steve 33–37 47.14%
sakuraissan vs Law 25–38 39.68%
sakuraissan vs Hwoarang 33–28 54.10%
sakuraissan vs Lili 25–35 41.67%
sakuraissan vs Asuka 23–28 45.10%
sakuraissan vs Nina 17–29 36.96%
sakuraissan vs Jun 18–26 40.91%
sakuraissan vs Azucena 24–19 55.81%
sakuraissan vs Lars 20–21 48.78%
sakuraissan vs Lidia 19–22 46.34%
sakuraissan vs Victor 23–16 58.97%
sakuraissan vs Devil Jin 20–16 55.56%
sakuraissan vs Heihachi 18–16 52.94%
sakuraissan vs Eddy 18–14 56.25%
sakuraissan vs Jack-8 12–18 40.00%
sakuraissan vs Lee 20–10 66.67%
sakuraissan vs Xiaoyu 14–12 53.85%
sakuraissan vs Feng 12–13 48.00%
sakuraissan vs Leo 7–16 30.43%
sakuraissan vs Leroy 10–9 52.63%
sakuraissan vs Claudio 7–10 41.18%
sakuraissan vs Kuma 8–9 47.06%
sakuraissan vs Alisa 7–3 70.00%
sakuraissan vs Zafina 3–5 37.50%
sakuraissan vs Shaheen 2–4 33.33%
sakuraissan vs Panda 4–2 66.67%
sakuraissan vs Clive 3–3 50.00%
sakuraissan vs Raven 0–4 0.00%

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.