Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

newbie11 vs King 78–76 50.65%
newbie11 vs Dragunov 66–70 48.53%
newbie11 vs Kazuya 63–60 51.22%
newbie11 vs Paul 70–50 58.33%
newbie11 vs Hwoarang 56–56 50.00%
newbie11 vs Steve 52–60 46.43%
newbie11 vs Reina 68–41 62.39%
newbie11 vs Jin 53–49 51.96%
newbie11 vs Bryan 53–41–1 56.38%
newbie11 vs Law 46–42 52.27%
newbie11 vs Victor 37–47 44.05%
newbie11 vs Yoshimitsu 33–39 45.83%
newbie11 vs Asuka 27–43 38.57%
newbie11 vs Lili 29–39 42.65%
newbie11 vs Jun 34–27 55.74%
newbie11 vs Heihachi 21–30 41.18%
newbie11 vs Nina 25–25 50.00%
newbie11 vs Azucena 17–26 39.53%
newbie11 vs Jack-8 21–21 50.00%
newbie11 vs Lars 17–25 40.48%
newbie11 vs Feng 24–15 61.54%
newbie11 vs Alisa 18–21 46.15%
newbie11 vs Xiaoyu 15–22 40.54%
newbie11 vs Devil Jin 15–22 40.54%
newbie11 vs Claudio 19–18 51.35%
newbie11 vs Lee 11–26 29.73%
newbie11 vs Leo 22–9 70.97%
newbie11 vs Clive 16–14 53.33%
newbie11 vs Leroy 14–15 48.28%
newbie11 vs Eddy 9–19 32.14%
newbie11 vs Lidia 9–18 33.33%
newbie11 vs Kuma 11–9 55.00%
newbie11 vs Fahkumram 8–12 40.00%
newbie11 vs Armor King 5–15 25.00%
newbie11 vs Miary Zo 12–8 60.00%
newbie11 vs Anna 9–10 47.37%
newbie11 vs Raven 10–7 58.82%
newbie11 vs Shaheen 2–13 13.33%
newbie11 vs Zafina 6–7 46.15%
newbie11 vs Panda 4–1 80.00%

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.