Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

RafaRM80 vs King 76–124 38.00%
RafaRM80 vs Kazuya 73–93 43.98%
RafaRM80 vs Jin 60–88 40.54%
RafaRM80 vs Reina 91–55–1 62.33%
RafaRM80 vs Steve 61–76 44.53%
RafaRM80 vs Eddy 58–74 43.94%
RafaRM80 vs Bryan 53–68 43.80%
RafaRM80 vs Heihachi 45–56 44.55%
RafaRM80 vs Lili 45–54 45.45%
RafaRM80 vs Lidia 37–57 39.36%
RafaRM80 vs Law 42–46 47.73%
RafaRM80 vs Dragunov 34–52 39.53%
RafaRM80 vs Hwoarang 40–43 48.19%
RafaRM80 vs Jun 30–53 36.14%
RafaRM80 vs Nina 40–35 53.33%
RafaRM80 vs Asuka 26–48 35.14%
RafaRM80 vs Azucena 40–29 57.97%
RafaRM80 vs Leo 28–33 45.90%
RafaRM80 vs Yoshimitsu 26–29 47.27%
RafaRM80 vs Paul 26–26 50.00%
RafaRM80 vs Alisa 20–30 40.00%
RafaRM80 vs Xiaoyu 26–22 54.17%
RafaRM80 vs Devil Jin 18–26 40.91%
RafaRM80 vs Victor 23–21 52.27%
RafaRM80 vs Feng 18–24 42.86%
RafaRM80 vs Clive 21–21 50.00%
RafaRM80 vs Lars 20–19 51.28%
RafaRM80 vs Claudio 15–13 53.57%
RafaRM80 vs Jack-8 13–14 48.15%
RafaRM80 vs Lee 13–14 48.15%
RafaRM80 vs Kuma 11–16 40.74%
RafaRM80 vs Leroy 6–17 26.09%
RafaRM80 vs Raven 15–6 71.43%
RafaRM80 vs Zafina 10–10 50.00%
RafaRM80 vs Anna 10–9 52.63%
RafaRM80 vs Fahkumram 6–10 37.50%
RafaRM80 vs Shaheen 6–8 42.86%
RafaRM80 vs Armor King 5–8 38.46%
RafaRM80 vs Panda 5–4 55.56%
RafaRM80 vs Miary Zo 2–4 33.33%

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.