Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Thuszar vs Kazuya 350–262 57.19%
Thuszar vs Jin 247–237 51.03%
Thuszar vs Bryan 242–193 55.63%
Thuszar vs Heihachi 200–221 47.51%
Thuszar vs Reina 178–149 54.43%
Thuszar vs Hwoarang 211–113 65.12%
Thuszar vs King 179–132 57.56%
Thuszar vs Yoshimitsu 184–106 63.45%
Thuszar vs Law 165–123 57.29%
Thuszar vs Steve 147–132 52.69%
Thuszar vs Dragunov 135–120 52.94%
Thuszar vs Lili 149–93 61.57%
Thuszar vs Paul 122–108 53.04%
Thuszar vs Devil Jin 121–107 53.07%
Thuszar vs Lee 109–108 50.23%
Thuszar vs Nina 112–72 60.87%
Thuszar vs Lidia 91–86 51.41%
Thuszar vs Armor King 74–92 44.58%
Thuszar vs Jun 79–69–1 53.38%
Thuszar vs Asuka 81–65 55.48%
Thuszar vs Xiaoyu 72–67 51.80%
Thuszar vs Feng 79–59 57.25%
Thuszar vs Lars 66–64 50.77%
Thuszar vs Clive 57–70 44.88%
Thuszar vs Azucena 53–62 46.09%
Thuszar vs Alisa 61–50 54.95%
Thuszar vs Eddy 50–59 45.87%
Thuszar vs Fahkumram 40–61 39.60%
Thuszar vs Leo 47–52 47.47%
Thuszar vs Anna 36–53 40.45%
Thuszar vs Claudio 40–47 45.98%
Thuszar vs Raven 37–49 43.02%
Thuszar vs Shaheen 45–40 52.94%
Thuszar vs Victor 35–43 44.87%
Thuszar vs Jack-8 29–42 40.85%
Thuszar vs Zafina 34–29 53.97%
Thuszar vs Kuma 29–33 46.77%
Thuszar vs Leroy 35–27 56.45%
Thuszar vs Miary Zo 22–31 41.51%
Thuszar vs Panda 8–14 36.36%

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.