Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

learned a lot vs Kazuya 85–64 57.05%
learned a lot vs Jin 54–43 55.67%
learned a lot vs Yoshimitsu 49–40 55.06%
learned a lot vs Bryan 49–36 57.65%
learned a lot vs Reina 52–33 61.18%
learned a lot vs Hwoarang 44–40 52.38%
learned a lot vs Law 33–45 42.31%
learned a lot vs Steve 40–32 55.56%
learned a lot vs King 30–40 42.86%
learned a lot vs Lili 40–30 57.14%
learned a lot vs Dragunov 29–39 42.65%
learned a lot vs Heihachi 25–24 51.02%
learned a lot vs Jun 19–29 39.58%
learned a lot vs Devil Jin 16–30 34.78%
learned a lot vs Lars 22–23 48.89%
learned a lot vs Victor 31–14 68.89%
learned a lot vs Asuka 16–27 37.21%
learned a lot vs Paul 16–25 39.02%
learned a lot vs Lee 21–20 51.22%
learned a lot vs Azucena 16–22 42.11%
learned a lot vs Eddy 13–25 34.21%
learned a lot vs Xiaoyu 22–15 59.46%
learned a lot vs Alisa 15–18 45.45%
learned a lot vs Jack-8 13–17 43.33%
learned a lot vs Nina 14–14 50.00%
learned a lot vs Clive 18–10 64.29%
learned a lot vs Armor King 7–19–1 26.92%
learned a lot vs Feng 12–10 54.55%
learned a lot vs Lidia 10–12 45.45%
learned a lot vs Leo 10–11 47.62%
learned a lot vs Raven 12–7 63.16%
learned a lot vs Leroy 10–8 55.56%
learned a lot vs Kuma 5–10 33.33%
learned a lot vs Shaheen 6–8 42.86%
learned a lot vs Claudio 5–8 38.46%
learned a lot vs Zafina 9–4 69.23%
learned a lot vs Anna 8–5 61.54%
learned a lot vs Fahkumram 3–7 30.00%
learned a lot vs Panda 1–6 14.29%
learned a lot vs Miary Zo 3–3 50.00%

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.