Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Jameshwl vs Kazuya 84–80 51.22%
Jameshwl vs Jin 77–85 47.53%
Jameshwl vs Steve 79–67 54.11%
Jameshwl vs Reina 73–68 51.77%
Jameshwl vs Bryan 48–82 36.92%
Jameshwl vs Dragunov 50–72 40.98%
Jameshwl vs King 49–67 42.24%
Jameshwl vs Lili 64–52 55.17%
Jameshwl vs Paul 41–68 37.61%
Jameshwl vs Hwoarang 41–53 43.62%
Jameshwl vs Asuka 33–57 36.67%
Jameshwl vs Armor King 42–47 47.19%
Jameshwl vs Lars 36–42 46.15%
Jameshwl vs Jun 46–31 59.74%
Jameshwl vs Law 21–48 30.43%
Jameshwl vs Victor 27–39 40.91%
Jameshwl vs Yoshimitsu 17–42 28.81%
Jameshwl vs Azucena 21–34 38.18%
Jameshwl vs Miary Zo 21–32 39.62%
Jameshwl vs Lee 27–25 51.92%
Jameshwl vs Devil Jin 21–30 41.18%
Jameshwl vs Claudio 18–30 37.50%
Jameshwl vs Eddy 22–24 47.83%
Jameshwl vs Xiaoyu 17–28 37.78%
Jameshwl vs Feng 17–28 37.78%
Jameshwl vs Heihachi 21–19 52.50%
Jameshwl vs Nina 23–14 62.16%
Jameshwl vs Fahkumram 16–21 43.24%
Jameshwl vs Clive 20–16 55.56%
Jameshwl vs Leo 17–17 50.00%
Jameshwl vs Alisa 11–23 32.35%
Jameshwl vs Leroy 7–25 21.88%
Jameshwl vs Lidia 7–16 30.43%
Jameshwl vs Anna 11–11 50.00%
Jameshwl vs Jack-8 6–14 30.00%
Jameshwl vs Zafina 4–12 25.00%
Jameshwl vs Kuma 2–9 18.18%
Jameshwl vs Raven 8–3 72.73%
Jameshwl vs Shaheen 5–5 50.00%
Jameshwl vs Panda 1–8 11.11%

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.