Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lacklandjohn vs Kazuya 67–49 57.76%
lacklandjohn vs Lidia 44–68 39.29%
lacklandjohn vs Reina 47–41 53.41%
lacklandjohn vs Lili 30–54 35.71%
lacklandjohn vs Paul 42–40 51.22%
lacklandjohn vs Jin 40–41 49.38%
lacklandjohn vs King 34–35 49.28%
lacklandjohn vs Dragunov 23–41 35.94%
lacklandjohn vs Hwoarang 28–33 45.90%
lacklandjohn vs Asuka 31–29 51.67%
lacklandjohn vs Bryan 16–42 27.59%
lacklandjohn vs Steve 26–32 44.83%
lacklandjohn vs Victor 17–36 32.08%
lacklandjohn vs Jun 24–25 48.98%
lacklandjohn vs Law 21–26 44.68%
lacklandjohn vs Alisa 22–19 53.66%
lacklandjohn vs Xiaoyu 21–15 58.33%
lacklandjohn vs Azucena 14–21 40.00%
lacklandjohn vs Leroy 17–17 50.00%
lacklandjohn vs Feng 11–22 33.33%
lacklandjohn vs Lee 9–21 30.00%
lacklandjohn vs Devil Jin 11–18 37.93%
lacklandjohn vs Yoshimitsu 14–14 50.00%
lacklandjohn vs Nina 12–13 48.00%
lacklandjohn vs Jack-8 8–14 36.36%
lacklandjohn vs Claudio 8–13 38.10%
lacklandjohn vs Leo 8–10 44.44%
lacklandjohn vs Shaheen 7–11 38.89%
lacklandjohn vs Kuma 7–10 41.18%
lacklandjohn vs Eddy 4–11 26.67%
lacklandjohn vs Lars 3–9 25.00%
lacklandjohn vs Zafina 3–9 25.00%
lacklandjohn vs Raven 2–9 18.18%
lacklandjohn vs Clive 2–5 28.57%
lacklandjohn vs Panda 1–4 20.00%
lacklandjohn vs Heihachi 1–0 100.00%

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.