Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kazama Trainer vs Jin 49–26 65.33%
Kazama Trainer vs Bryan 42–24 63.64%
Kazama Trainer vs Lili 34–18 65.38%
Kazama Trainer vs Steve 34–17 66.67%
Kazama Trainer vs Hwoarang 25–20 55.56%
Kazama Trainer vs Reina 24–21 53.33%
Kazama Trainer vs Victor 20–23 46.51%
Kazama Trainer vs Dragunov 24–16 60.00%
Kazama Trainer vs Law 26–12 68.42%
Kazama Trainer vs Yoshimitsu 22–15 59.46%
Kazama Trainer vs King 23–12 65.71%
Kazama Trainer vs Kazuya 22–13 62.86%
Kazama Trainer vs Nina 20–13 60.61%
Kazama Trainer vs Alisa 12–20 37.50%
Kazama Trainer vs Lee 15–16 48.39%
Kazama Trainer vs Jack-8 15–15 50.00%
Kazama Trainer vs Asuka 15–15 50.00%
Kazama Trainer vs Jun 17–13 56.67%
Kazama Trainer vs Kuma 17–12 58.62%
Kazama Trainer vs Eddy 21–8 72.41%
Kazama Trainer vs Lars 17–11 60.71%
Kazama Trainer vs Raven 17–10–1 62.96%
Kazama Trainer vs Xiaoyu 16–11 59.26%
Kazama Trainer vs Devil Jin 14–13 51.85%
Kazama Trainer vs Feng 11–12 47.83%
Kazama Trainer vs Shaheen 9–14 39.13%
Kazama Trainer vs Azucena 11–8 57.89%
Kazama Trainer vs Panda 8–9 47.06%
Kazama Trainer vs Paul 12–4 75.00%
Kazama Trainer vs Leo 10–6 62.50%
Kazama Trainer vs Claudio 7–9 43.75%
Kazama Trainer vs Leroy 5–8 38.46%
Kazama Trainer vs Zafina 4–5 44.44%
Kazama Trainer vs Lidia 3–6 33.33%

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.