Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MKZENKAI vs Kazuya 96–68 58.54%
MKZENKAI vs Jin 87–59 59.59%
MKZENKAI vs Bryan 81–46 63.78%
MKZENKAI vs King 68–49 58.12%
MKZENKAI vs Law 51–52 49.51%
MKZENKAI vs Hwoarang 61–40 60.40%
MKZENKAI vs Heihachi 59–37 61.46%
MKZENKAI vs Steve 43–43 50.00%
MKZENKAI vs Dragunov 50–36 58.14%
MKZENKAI vs Lee 50–36 58.14%
MKZENKAI vs Reina 52–31 62.65%
MKZENKAI vs Zafina 35–43 44.87%
MKZENKAI vs Yoshimitsu 49–28 63.64%
MKZENKAI vs Xiaoyu 37–39 48.68%
MKZENKAI vs Devil Jin 44–32 57.89%
MKZENKAI vs Armor King 40–32 55.56%
MKZENKAI vs Paul 42–25 62.69%
MKZENKAI vs Asuka 26–40 39.39%
MKZENKAI vs Jun 31–34 47.69%
MKZENKAI vs Leo 31–32 49.21%
MKZENKAI vs Nina 37–22 62.71%
MKZENKAI vs Lili 37–21 63.79%
MKZENKAI vs Lars 33–22 60.00%
MKZENKAI vs Shaheen 28–27 50.91%
MKZENKAI vs Eddy 37–15 71.15%
MKZENKAI vs Feng 30–20 60.00%
MKZENKAI vs Azucena 33–17 66.00%
MKZENKAI vs Claudio 31–18 63.27%
MKZENKAI vs Victor 26–20 56.52%
MKZENKAI vs Leroy 22–20 52.38%
MKZENKAI vs Raven 27–11 71.05%
MKZENKAI vs Anna 26–8 76.47%
MKZENKAI vs Alisa 17–15 53.12%
MKZENKAI vs Jack-8 15–14 51.72%
MKZENKAI vs Kuma 14–13 51.85%
MKZENKAI vs Miary Zo 8–15 34.78%
MKZENKAI vs Fahkumram 10–8 55.56%
MKZENKAI vs Lidia 12–5 70.59%
MKZENKAI vs Clive 7–1 87.50%
MKZENKAI vs Panda 2–1 66.67%

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.