Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MKMASTERS vs Kazuya 44–14 75.86%
MKMASTERS vs Jin 29–13 69.05%
MKMASTERS vs King 33–8 80.49%
MKMASTERS vs Lee 27–13 67.50%
MKMASTERS vs Lili 29–8 78.38%
MKMASTERS vs Bryan 25–8 75.76%
MKMASTERS vs Dragunov 23–8 74.19%
MKMASTERS vs Jun 25–5 83.33%
MKMASTERS vs Hwoarang 22–7 75.86%
MKMASTERS vs Lars 22–7 75.86%
MKMASTERS vs Steve 21–7 75.00%
MKMASTERS vs Feng 20–8 71.43%
MKMASTERS vs Paul 17–8 68.00%
MKMASTERS vs Azucena 17–7 70.83%
MKMASTERS vs Armor King 19–5 79.17%
MKMASTERS vs Yoshimitsu 15–8 65.22%
MKMASTERS vs Devil Jin 11–12 47.83%
MKMASTERS vs Reina 22–1 95.65%
MKMASTERS vs Lidia 11–11 50.00%
MKMASTERS vs Xiaoyu 13–5 72.22%
MKMASTERS vs Asuka 15–2 88.24%
MKMASTERS vs Alisa 12–5 70.59%
MKMASTERS vs Heihachi 14–3 82.35%
MKMASTERS vs Zafina 8–7 53.33%
MKMASTERS vs Leroy 12–3 80.00%
MKMASTERS vs Law 13–1 92.86%
MKMASTERS vs Shaheen 7–7 50.00%
MKMASTERS vs Nina 6–7 46.15%
MKMASTERS vs Clive 10–3 76.92%
MKMASTERS vs Victor 7–4 63.64%
MKMASTERS vs Raven 8–2 80.00%
MKMASTERS vs Jack-8 9–0 100.00%
MKMASTERS vs Eddy 7–2 77.78%
MKMASTERS vs Anna 6–3 66.67%
MKMASTERS vs Leo 6–1 85.71%
MKMASTERS vs Panda 5–2 71.43%
MKMASTERS vs Miary Zo 4–3 57.14%
MKMASTERS vs Fahkumram 4–2 66.67%
MKMASTERS vs Claudio 3–2 60.00%
MKMASTERS vs Kuma 2–2 50.00%

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.