Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
てれさーのおうじ

Ratings

てれさーのおうじ vs Bryan 53–56 48.62%
てれさーのおうじ vs Kazuya 57–46 55.34%
てれさーのおうじ vs Clive 32–53 37.65%
てれさーのおうじ vs Reina 36–47 43.37%
てれさーのおうじ vs Dragunov 58–22 72.50%
てれさーのおうじ vs Asuka 45–34 56.96%
てれさーのおうじ vs Steve 39–39 50.00%
てれさーのおうじ vs Hwoarang 33–35 48.53%
てれさーのおうじ vs Jin 34–32 51.52%
てれさーのおうじ vs King 35–26 57.38%
てれさーのおうじ vs Paul 40–20 66.67%
てれさーのおうじ vs Lili 33–27 55.00%
てれさーのおうじ vs Law 39–18 68.42%
てれさーのおうじ vs Lars 35–17 67.31%
てれさーのおうじ vs Jack-8 25–26 49.02%
てれさーのおうじ vs Eddy 21–27 43.75%
てれさーのおうじ vs Heihachi 25–23 52.08%
てれさーのおうじ vs Leo 29–15 65.91%
てれさーのおうじ vs Jun 23–21 52.27%
てれさーのおうじ vs Claudio 30–12 71.43%
てれさーのおうじ vs Nina 29–13 69.05%
てれさーのおうじ vs Alisa 21–16 56.76%
てれさーのおうじ vs Lee 18–18 50.00%
てれさーのおうじ vs Devil Jin 20–15 57.14%
てれさーのおうじ vs Victor 15–20 42.86%
てれさーのおうじ vs Xiaoyu 18–15 54.55%
てれさーのおうじ vs Yoshimitsu 22–9 70.97%
てれさーのおうじ vs Raven 17–13 56.67%
てれさーのおうじ vs Feng 14–14 50.00%
てれさーのおうじ vs Lidia 15–12 55.56%
てれさーのおうじ vs Armor King 12–15 44.44%
てれさーのおうじ vs Anna 13–13 50.00%
てれさーのおうじ vs Miary Zo 7–18 28.00%
てれさーのおうじ vs Azucena 12–12 50.00%
てれさーのおうじ vs Fahkumram 16–8 66.67%
てれさーのおうじ vs Kuma 12–5 70.59%
てれさーのおうじ vs Leroy 7–10 41.18%
てれさーのおうじ vs Zafina 9–7 56.25%
てれさーのおうじ vs Shaheen 7–5 58.33%
てれさーのおうじ vs Panda 4–5 44.44%

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.