Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Learning Klever vs Kazuya 101–83 54.89%
Learning Klever vs Armor King 64–85 42.95%
Learning Klever vs Heihachi 63–60 51.22%
Learning Klever vs Jin 56–55 50.45%
Learning Klever vs King 39–55 41.49%
Learning Klever vs Reina 51–43 54.26%
Learning Klever vs Bryan 38–50 43.18%
Learning Klever vs Law 42–35 54.55%
Learning Klever vs Steve 42–29 59.15%
Learning Klever vs Hwoarang 28–33 45.90%
Learning Klever vs Dragunov 31–24 56.36%
Learning Klever vs Clive 28–24 53.85%
Learning Klever vs Yoshimitsu 16–35 31.37%
Learning Klever vs Devil Jin 28–21 57.14%
Learning Klever vs Lidia 15–34 30.61%
Learning Klever vs Asuka 19–26 42.22%
Learning Klever vs Paul 11–30 26.83%
Learning Klever vs Lili 19–22 46.34%
Learning Klever vs Xiaoyu 17–23 42.50%
Learning Klever vs Feng 22–18 55.00%
Learning Klever vs Jun 24–15 61.54%
Learning Klever vs Nina 17–21 44.74%
Learning Klever vs Lee 10–28 26.32%
Learning Klever vs Azucena 16–18 47.06%
Learning Klever vs Victor 16–16 50.00%
Learning Klever vs Fahkumram 10–21 32.26%
Learning Klever vs Eddy 10–20 33.33%
Learning Klever vs Leroy 14–10 58.33%
Learning Klever vs Alisa 9–13 40.91%
Learning Klever vs Jack-8 8–12 40.00%
Learning Klever vs Lars 8–9 47.06%
Learning Klever vs Zafina 9–8 52.94%
Learning Klever vs Raven 4–9 30.77%
Learning Klever vs Anna 6–7 46.15%
Learning Klever vs Leo 7–5 58.33%
Learning Klever vs Claudio 3–7 30.00%
Learning Klever vs Shaheen 4–5 44.44%
Learning Klever vs Kuma 1–7 12.50%
Learning Klever vs Panda 4–0 100.00%

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.