Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Mptheking

Ratings

Mptheking vs Armor King 38–51 42.70%
Mptheking vs King 29–49 37.18%
Mptheking vs Jin 35–38 47.95%
Mptheking vs Law 33–36 47.83%
Mptheking vs Hwoarang 27–42 39.13%
Mptheking vs Heihachi 31–38 44.93%
Mptheking vs Kazuya 29–39 42.65%
Mptheking vs Dragunov 37–28 56.92%
Mptheking vs Eddy 29–32 47.54%
Mptheking vs Steve 29–31 48.33%
Mptheking vs Reina 31–27 53.45%
Mptheking vs Bryan 20–30 40.00%
Mptheking vs Jun 21–24 46.67%
Mptheking vs Lili 15–24 38.46%
Mptheking vs Lars 19–15 55.88%
Mptheking vs Yoshimitsu 14–18 43.75%
Mptheking vs Leo 13–15 46.43%
Mptheking vs Azucena 13–15 46.43%
Mptheking vs Victor 12–14 46.15%
Mptheking vs Clive 13–12 52.00%
Mptheking vs Asuka 11–13 45.83%
Mptheking vs Nina 8–15 34.78%
Mptheking vs Lee 10–13 43.48%
Mptheking vs Miary Zo 9–13 40.91%
Mptheking vs Fahkumram 10–11 47.62%
Mptheking vs Paul 8–11 42.11%
Mptheking vs Jack-8 4–11 26.67%
Mptheking vs Feng 4–11 26.67%
Mptheking vs Alisa 7–7 50.00%
Mptheking vs Raven 9–5 64.29%
Mptheking vs Devil Jin 5–8 38.46%
Mptheking vs Xiaoyu 7–5 58.33%
Mptheking vs Lidia 7–5 58.33%
Mptheking vs Anna 6–6 50.00%
Mptheking vs Claudio 5–6 45.45%
Mptheking vs Zafina 6–5 54.55%
Mptheking vs Leroy 4–5 44.44%
Mptheking vs Shaheen 2–3 40.00%
Mptheking vs Panda 2–1 66.67%

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.