Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
ハッチ。

Ratings

ハッチ。 vs Bryan 65–70 48.15%
ハッチ。 vs Jin 67–58 53.60%
ハッチ。 vs Hwoarang 50–71 41.32%
ハッチ。 vs Kazuya 59–57 50.86%
ハッチ。 vs Paul 47–62 43.12%
ハッチ。 vs Clive 42–58 42.00%
ハッチ。 vs King 45–53 45.92%
ハッチ。 vs Dragunov 54–41 56.84%
ハッチ。 vs Feng 46–48 48.94%
ハッチ。 vs Lili 54–37 59.34%
ハッチ。 vs Steve 52–38 57.78%
ハッチ。 vs Devil Jin 38–48 44.19%
ハッチ。 vs Law 41–43 48.81%
ハッチ。 vs Victor 41–43 48.81%
ハッチ。 vs Asuka 52–31 62.65%
ハッチ。 vs Reina 42–36 53.85%
ハッチ。 vs Lidia 28–40 41.18%
ハッチ。 vs Heihachi 28–40 41.18%
ハッチ。 vs Yoshimitsu 40–25 61.54%
ハッチ。 vs Claudio 31–31 50.00%
ハッチ。 vs Jun 30–31 49.18%
ハッチ。 vs Lee 26–30 46.43%
ハッチ。 vs Azucena 32–21 60.38%
ハッチ。 vs Leroy 18–29 38.30%
ハッチ。 vs Shaheen 18–28 39.13%
ハッチ。 vs Alisa 23–21 52.27%
ハッチ。 vs Nina 24–18 57.14%
ハッチ。 vs Leo 26–15 63.41%
ハッチ。 vs Lars 20–19 51.28%
ハッチ。 vs Eddy 13–23 36.11%
ハッチ。 vs Kuma 12–23 34.29%
ハッチ。 vs Raven 21–10 67.74%
ハッチ。 vs Zafina 20–10 66.67%
ハッチ。 vs Jack-8 10–19 34.48%
ハッチ。 vs Xiaoyu 15–12 55.56%
ハッチ。 vs Panda 5–5 50.00%

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.