Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kenshiro vs Kazuya 133–116 53.41%
Kenshiro vs Jin 95–92 50.80%
Kenshiro vs King 87–79 52.41%
Kenshiro vs Reina 74–74 50.00%
Kenshiro vs Hwoarang 69–73 48.59%
Kenshiro vs Heihachi 66–76 46.48%
Kenshiro vs Bryan 57–60 48.72%
Kenshiro vs Dragunov 63–46 57.80%
Kenshiro vs Steve 54–42 56.25%
Kenshiro vs Paul 49–46 51.58%
Kenshiro vs Lili 43–48 47.25%
Kenshiro vs Law 41–46 47.13%
Kenshiro vs Armor King 34–50 40.48%
Kenshiro vs Lee 22–45 32.84%
Kenshiro vs Alisa 35–30 53.85%
Kenshiro vs Azucena 29–31 48.33%
Kenshiro vs Yoshimitsu 27–28 49.09%
Kenshiro vs Asuka 20–31 39.22%
Kenshiro vs Victor 19–31 38.00%
Kenshiro vs Fahkumram 26–24 52.00%
Kenshiro vs Lars 21–28 42.86%
Kenshiro vs Jun 26–18 59.09%
Kenshiro vs Feng 19–24 44.19%
Kenshiro vs Nina 25–18 58.14%
Kenshiro vs Eddy 13–28 31.71%
Kenshiro vs Devil Jin 15–25 37.50%
Kenshiro vs Xiaoyu 19–19 50.00%
Kenshiro vs Jack-8 12–20 37.50%
Kenshiro vs Leroy 14–15 48.28%
Kenshiro vs Lidia 14–15 48.28%
Kenshiro vs Claudio 10–18 35.71%
Kenshiro vs Leo 11–13 45.83%
Kenshiro vs Kuma 10–14 41.67%
Kenshiro vs Clive 12–12 50.00%
Kenshiro vs Raven 10–12 45.45%
Kenshiro vs Miary Zo 9–9 50.00%
Kenshiro vs Shaheen 9–8 52.94%
Kenshiro vs Zafina 4–7 36.36%
Kenshiro vs Anna 5–5 50.00%
Kenshiro vs Panda 0–4 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.