Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kimbash vs Kazuya 315–303 50.97%
Kimbash vs Jin 229–221 50.89%
Kimbash vs Bryan 203–206 49.63%
Kimbash vs Heihachi 155–214 42.01%
Kimbash vs Hwoarang 174–168 50.88%
Kimbash vs King 176–153 53.50%
Kimbash vs Reina 152–154 49.67%
Kimbash vs Steve 148–137 51.93%
Kimbash vs Dragunov 131–147 47.12%
Kimbash vs Law 129–131 49.62%
Kimbash vs Yoshimitsu 133–110 54.73%
Kimbash vs Paul 118–124 48.76%
Kimbash vs Lili 125–112 52.74%
Kimbash vs Devil Jin 120–108 52.63%
Kimbash vs Lee 96–104 48.00%
Kimbash vs Armor King 94–88 51.65%
Kimbash vs Asuka 76–74 50.67%
Kimbash vs Feng 76–72 51.35%
Kimbash vs Lars 71–76 48.30%
Kimbash vs Xiaoyu 63–79 44.37%
Kimbash vs Nina 45–87 34.09%
Kimbash vs Jun 73–54–1 57.48%
Kimbash vs Azucena 55–68 44.72%
Kimbash vs Victor 57–64 47.11%
Kimbash vs Alisa 64–55 53.78%
Kimbash vs Lidia 50–57 46.73%
Kimbash vs Raven 38–61 38.38%
Kimbash vs Claudio 45–49 47.87%
Kimbash vs Leo 37–55 40.22%
Kimbash vs Jack-8 41–47 46.59%
Kimbash vs Fahkumram 39–47 45.35%
Kimbash vs Leroy 39–45 46.43%
Kimbash vs Eddy 41–41 50.00%
Kimbash vs Kuma 42–30 58.33%
Kimbash vs Anna 32–33 49.23%
Kimbash vs Zafina 23–35 39.66%
Kimbash vs Clive 30–25 54.55%
Kimbash vs Shaheen 15–24 38.46%
Kimbash vs Miary Zo 11–19 36.67%
Kimbash vs Panda 5–10 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.