Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

savear11 vs Kazuya 119–106 52.89%
savear11 vs Jin 88–71 55.35%
savear11 vs King 75–77 49.34%
savear11 vs Reina 65–70 48.15%
savear11 vs Bryan 63–69 47.73%
savear11 vs Hwoarang 45–59 43.27%
savear11 vs Dragunov 51–40 56.04%
savear11 vs Steve 40–49 44.94%
savear11 vs Lili 40–47 45.98%
savear11 vs Law 34–52 39.53%
savear11 vs Yoshimitsu 29–48 37.66%
savear11 vs Heihachi 36–39 48.00%
savear11 vs Devil Jin 34–28 54.84%
savear11 vs Paul 24–37 39.34%
savear11 vs Armor King 32–25 56.14%
savear11 vs Lee 33–19 63.46%
savear11 vs Eddy 29–22 56.86%
savear11 vs Lars 23–26 46.94%
savear11 vs Jun 25–18 58.14%
savear11 vs Nina 24–16 60.00%
savear11 vs Xiaoyu 13–26 33.33%
savear11 vs Victor 24–14 63.16%
savear11 vs Jack-8 17–18 48.57%
savear11 vs Clive 19–16 54.29%
savear11 vs Miary Zo 19–16 54.29%
savear11 vs Feng 14–19 42.42%
savear11 vs Azucena 21–12 63.64%
savear11 vs Leroy 9–21 30.00%
savear11 vs Asuka 12–16 42.86%
savear11 vs Leo 13–10 56.52%
savear11 vs Alisa 6–15 28.57%
savear11 vs Lidia 10–11 47.62%
savear11 vs Fahkumram 7–10 41.18%
savear11 vs Shaheen 8–7 53.33%
savear11 vs Raven 4–11 26.67%
savear11 vs Claudio 11–3 78.57%
savear11 vs Kuma 7–6 53.85%
savear11 vs Anna 4–8 33.33%
savear11 vs Zafina 2–3 40.00%
savear11 vs Panda 3–0 100.00%

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.