Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

-14f vs Bryan 86–93 48.04%
-14f vs Jin 73–68 51.77%
-14f vs Kazuya 73–64 53.28%
-14f vs Xiaoyu 93–41 69.40%
-14f vs Lili 68–52 56.67%
-14f vs King 64–47 57.66%
-14f vs Hwoarang 56–44 56.00%
-14f vs Reina 59–39 60.20%
-14f vs Dragunov 54–42 56.25%
-14f vs Lars 37–35 51.39%
-14f vs Heihachi 45–27 62.50%
-14f vs Jun 40–29 57.97%
-14f vs Alisa 46–19 70.77%
-14f vs Lee 25–40 38.46%
-14f vs Fahkumram 27–32 45.76%
-14f vs Law 32–24 57.14%
-14f vs Asuka 29–26 52.73%
-14f vs Nina 31–24 56.36%
-14f vs Devil Jin 24–30 44.44%
-14f vs Steve 21–32 39.62%
-14f vs Yoshimitsu 21–30 41.18%
-14f vs Zafina 27–22 55.10%
-14f vs Jack-8 18–29 38.30%
-14f vs Raven 26–20 56.52%
-14f vs Claudio 19–25 43.18%
-14f vs Lidia 13–30 30.23%
-14f vs Paul 22–19 53.66%
-14f vs Azucena 18–23 43.90%
-14f vs Eddy 17–19 47.22%
-14f vs Feng 13–18 41.94%
-14f vs Anna 18–13 58.06%
-14f vs Leo 8–22 26.67%
-14f vs Victor 6–23 20.69%
-14f vs Shaheen 14–14 50.00%
-14f vs Kuma 6–21 22.22%
-14f vs Clive 10–9 52.63%
-14f vs Leroy 6–10 37.50%
-14f vs Panda 0–11 0.00%
-14f vs Armor King 3–6 33.33%
-14f vs Miary Zo 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.