Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

jang man vs Kazuya 72–90 44.44%
jang man vs King 60–72 45.45%
jang man vs Fahkumram 71–57 55.47%
jang man vs Armor King 50–75 40.00%
jang man vs Asuka 45–78 36.59%
jang man vs Dragunov 64–57 52.89%
jang man vs Bryan 64–52 55.17%
jang man vs Paul 45–70 39.13%
jang man vs Jin 59–55 51.75%
jang man vs Reina 59–45 56.73%
jang man vs Steve 37–63 37.00%
jang man vs Hwoarang 49–49 50.00%
jang man vs Law 47–49 48.96%
jang man vs Lili 43–50 46.24%
jang man vs Yoshimitsu 27–49 35.53%
jang man vs Heihachi 23–41 35.94%
jang man vs Devil Jin 22–39 36.07%
jang man vs Jun 30–28 51.72%
jang man vs Azucena 27–25 51.92%
jang man vs Lars 23–28 45.10%
jang man vs Claudio 24–27 47.06%
jang man vs Lidia 21–30 41.18%
jang man vs Lee 18–32 36.00%
jang man vs Miary Zo 25–25 50.00%
jang man vs Shaheen 22–25 46.81%
jang man vs Leroy 24–20 54.55%
jang man vs Xiaoyu 28–14 66.67%
jang man vs Victor 17–23 42.50%
jang man vs Jack-8 13–25 34.21%
jang man vs Leo 16–21 43.24%
jang man vs Clive 19–16 54.29%
jang man vs Eddy 12–22 35.29%
jang man vs Alisa 17–13 56.67%
jang man vs Feng 6–23 20.69%
jang man vs Nina 10–17 37.04%
jang man vs Anna 9–16 36.00%
jang man vs Raven 11–11 50.00%
jang man vs Zafina 8–11 42.11%
jang man vs Kuma 8–6 57.14%
jang man vs Panda 0–6 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.