Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KAHILAN vs Kazuya 360–501 41.81%
KAHILAN vs Jin 386–431 47.25%
KAHILAN vs King 233–344 40.38%
KAHILAN vs Steve 235–301 43.84%
KAHILAN vs Bryan 219–309 41.48%
KAHILAN vs Heihachi 249–260–1 48.92%
KAHILAN vs Dragunov 211–267 44.14%
KAHILAN vs Law 174–201 46.40%
KAHILAN vs Hwoarang 144–177 44.86%
KAHILAN vs Paul 114–178 39.04%
KAHILAN vs Reina 123–162 43.16%
KAHILAN vs Devil Jin 126–150 45.65%
KAHILAN vs Yoshimitsu 90–154 36.89%
KAHILAN vs Lee 92–143 39.15%
KAHILAN vs Clive 103–121 45.98%
KAHILAN vs Lars 82–128 39.05%
KAHILAN vs Azucena 79–104 43.17%
KAHILAN vs Anna 75–106 41.44%
KAHILAN vs Jun 77–93 45.29%
KAHILAN vs Lili 69–98 41.32%
KAHILAN vs Victor 69–93 42.59%
KAHILAN vs Nina 46–80 36.51%
KAHILAN vs Asuka 44–77 36.36%
KAHILAN vs Feng 43–77 35.83%
KAHILAN vs Eddy 46–66 41.07%
KAHILAN vs Fahkumram 39–64 37.86%
KAHILAN vs Claudio 50–48 51.02%
KAHILAN vs Alisa 34–62 35.42%
KAHILAN vs Jack-8 20–63 24.10%
KAHILAN vs Shaheen 49–32 60.49%
KAHILAN vs Xiaoyu 16–61 20.78%
KAHILAN vs Armor King 31–39 44.29%
KAHILAN vs Leo 20–37 35.09%
KAHILAN vs Lidia 17–30 36.17%
KAHILAN vs Raven 15–26 36.59%
KAHILAN vs Kuma 12–28 30.00%
KAHILAN vs Zafina 10–29 25.64%
KAHILAN vs Leroy 9–26 25.71%
KAHILAN vs Miary Zo 1–7 12.50%
KAHILAN vs Panda 3–0 100.00%

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.