Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LEONARDO vs King 281–140 66.75%
LEONARDO vs Heihachi 262–146 64.22%
LEONARDO vs Jin 248–146 62.94%
LEONARDO vs Kazuya 250–135 64.94%
LEONARDO vs Bryan 205–177 53.66%
LEONARDO vs Reina 221–103 68.21%
LEONARDO vs Steve 183–96 65.59%
LEONARDO vs Paul 157–103 60.38%
LEONARDO vs Dragunov 139–109 56.05%
LEONARDO vs Asuka 152–94 61.79%
LEONARDO vs Lili 137–108 55.92%
LEONARDO vs Eddy 134–68 66.34%
LEONARDO vs Law 119–82 59.20%
LEONARDO vs Azucena 130–66 66.33%
LEONARDO vs Hwoarang 121–68 64.02%
LEONARDO vs Devil Jin 116–72 61.70%
LEONARDO vs Nina 99–80 55.31%
LEONARDO vs Alisa 109–61 64.12%
LEONARDO vs Lidia 103–65 61.31%
LEONARDO vs Yoshimitsu 92–74 55.42%
LEONARDO vs Anna 107–53 66.88%
LEONARDO vs Feng 89–57 60.96%
LEONARDO vs Xiaoyu 80–57 58.39%
LEONARDO vs Leroy 84–51 62.22%
LEONARDO vs Lee 83–51 61.94%
LEONARDO vs Jun 75–52 59.06%
LEONARDO vs Lars 74–48 60.66%
LEONARDO vs Leo 71–47 60.17%
LEONARDO vs Victor 67–45 59.82%
LEONARDO vs Clive 69–35 66.35%
LEONARDO vs Fahkumram 62–36 63.27%
LEONARDO vs Shaheen 55–42 56.70%
LEONARDO vs Jack-8 37–57 39.36%
LEONARDO vs Claudio 40–39 50.63%
LEONARDO vs Kuma 40–39 50.63%
LEONARDO vs Zafina 21–32 39.62%
LEONARDO vs Raven 25–22 53.19%
LEONARDO vs Panda 19–17 52.78%
LEONARDO vs Armor King 5–6 45.45%

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.