Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mobskiii vs King 104–88 54.17%
mobskiii vs Kazuya 96–78 55.17%
mobskiii vs Bryan 82–77 51.57%
mobskiii vs Jin 87–66 56.86%
mobskiii vs Steve 78–74 51.32%
mobskiii vs Law 73–55 57.03%
mobskiii vs Reina 65–62 51.18%
mobskiii vs Hwoarang 47–61 43.52%
mobskiii vs Paul 43–50–1 46.24%
mobskiii vs Dragunov 48–38 55.81%
mobskiii vs Azucena 36–46 43.90%
mobskiii vs Eddy 52–25 67.53%
mobskiii vs Lars 29–47 38.16%
mobskiii vs Yoshimitsu 33–35 48.53%
mobskiii vs Devil Jin 39–29 57.35%
mobskiii vs Feng 39–29 57.35%
mobskiii vs Victor 28–40 41.18%
mobskiii vs Jun 32–31 50.79%
mobskiii vs Anna 26–31 45.61%
mobskiii vs Xiaoyu 34–21 61.82%
mobskiii vs Raven 31–21 59.62%
mobskiii vs Asuka 22–29 43.14%
mobskiii vs Heihachi 33–16 67.35%
mobskiii vs Lee 34–14 70.83%
mobskiii vs Lidia 24–24 50.00%
mobskiii vs Lili 22–21 51.16%
mobskiii vs Nina 18–24 42.86%
mobskiii vs Alisa 18–21 46.15%
mobskiii vs Leroy 16–21 43.24%
mobskiii vs Leo 21–14 60.00%
mobskiii vs Claudio 22–13 62.86%
mobskiii vs Zafina 14–14 50.00%
mobskiii vs Jack-8 9–15 37.50%
mobskiii vs Kuma 6–18 25.00%
mobskiii vs Shaheen 8–10 44.44%
mobskiii vs Fahkumram 4–7 36.36%
mobskiii vs Panda 3–4 42.86%
mobskiii vs Clive 2–4 33.33%
mobskiii vs Miary Zo 3–1 75.00%
mobskiii vs Armor King 0–1 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.