Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TLD | Beater vs Jin 62–50 55.36%
TLD | Beater vs Kazuya 42–28 60.00%
TLD | Beater vs Law 32–33 49.23%
TLD | Beater vs Bryan 28–36 43.75%
TLD | Beater vs Hwoarang 32–27 54.24%
TLD | Beater vs Feng 28–28 50.00%
TLD | Beater vs Dragunov 39–17 69.64%
TLD | Beater vs Yoshimitsu 29–26 52.73%
TLD | Beater vs Lili 34–21 61.82%
TLD | Beater vs Lee 28–27 50.91%
TLD | Beater vs Devil Jin 21–30 41.18%
TLD | Beater vs Steve 21–24 46.67%
TLD | Beater vs Reina 29–14 67.44%
TLD | Beater vs King 22–17 56.41%
TLD | Beater vs Jack-8 16–20 44.44%
TLD | Beater vs Asuka 23–13 63.89%
TLD | Beater vs Eddy 20–15 57.14%
TLD | Beater vs Nina 24–10 70.59%
TLD | Beater vs Victor 13–21 38.24%
TLD | Beater vs Lars 14–18 43.75%
TLD | Beater vs Xiaoyu 17–14 54.84%
TLD | Beater vs Jun 10–21 32.26%
TLD | Beater vs Claudio 17–12 58.62%
TLD | Beater vs Azucena 12–15 44.44%
TLD | Beater vs Leo 14–9 60.87%
TLD | Beater vs Leroy 15–6 71.43%
TLD | Beater vs Shaheen 9–11 45.00%
TLD | Beater vs Paul 15–2 88.24%
TLD | Beater vs Alisa 8–9 47.06%
TLD | Beater vs Kuma 11–6 64.71%
TLD | Beater vs Zafina 9–6 60.00%
TLD | Beater vs Raven 7–4 63.64%
TLD | Beater vs Lidia 1–10 9.09%
TLD | Beater vs Panda 5–1 83.33%
TLD | Beater vs Fahkumram 3–1 75.00%
TLD | Beater vs Clive 1–2 33.33%

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.