Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

吉光老師 vs Hwoarang 81–76 51.59%
吉光老師 vs Bryan 87–60 59.18%
吉光老師 vs Nina 77–45 63.11%
吉光老師 vs Jin 59–54 52.21%
吉光老師 vs Lili 47–64 42.34%
吉光老師 vs Kazuya 58–52 52.73%
吉光老師 vs Victor 51–56 47.66%
吉光老師 vs Dragunov 47–59 44.34%
吉光老師 vs Feng 52–48 52.00%
吉光老師 vs Paul 55–43 56.12%
吉光老師 vs Zafina 57–38 60.00%
吉光老師 vs Reina 41–54 43.16%
吉光老師 vs Yoshimitsu 47–46 50.54%
吉光老師 vs Steve 52–39 57.14%
吉光老師 vs Alisa 53–36 59.55%
吉光老師 vs Lee 46–43 51.69%
吉光老師 vs Lars 45–40 52.94%
吉光老師 vs Asuka 55–29 65.48%
吉光老師 vs Eddy 46–37 55.42%
吉光老師 vs Xiaoyu 40–42 48.78%
吉光老師 vs Claudio 43–36 54.43%
吉光老師 vs King 35–41 46.05%
吉光老師 vs Devil Jin 33–43 43.42%
吉光老師 vs Jack-8 35–37 48.61%
吉光老師 vs Azucena 45–26 63.38%
吉光老師 vs Law 37–33 52.86%
吉光老師 vs Raven 33–35 48.53%
吉光老師 vs Leo 33–29 53.23%
吉光老師 vs Leroy 24–36 40.00%
吉光老師 vs Shaheen 34–25 57.63%
吉光老師 vs Jun 30–26 53.57%
吉光老師 vs Kuma 24–28 46.15%
吉光老師 vs Lidia 19–12 61.29%
吉光老師 vs Panda 7–18 28.00%
吉光老師 vs Clive 5–16 23.81%
吉光老師 vs Heihachi 10–7 58.82%

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.