Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

topoftherock vs Heihachi 42–56 42.86%
topoftherock vs King 37–44 45.68%
topoftherock vs Kazuya 34–46 42.50%
topoftherock vs Reina 37–32 53.62%
topoftherock vs Steve 31–33 48.44%
topoftherock vs Jin 26–27 49.06%
topoftherock vs Hwoarang 25–24 51.02%
topoftherock vs Bryan 19–28 40.43%
topoftherock vs Asuka 23–21 52.27%
topoftherock vs Jun 24–18 57.14%
topoftherock vs Paul 14–26 35.00%
topoftherock vs Dragunov 19–19 50.00%
topoftherock vs Leo 19–16 54.29%
topoftherock vs Azucena 13–22 37.14%
topoftherock vs Yoshimitsu 16–15 51.61%
topoftherock vs Victor 15–16 48.39%
topoftherock vs Law 14–13 51.85%
topoftherock vs Lili 13–14 48.15%
topoftherock vs Eddy 13–14 48.15%
topoftherock vs Kuma 13–13 50.00%
topoftherock vs Devil Jin 14–11 56.00%
topoftherock vs Lars 11–14 44.00%
topoftherock vs Nina 11–14 44.00%
topoftherock vs Xiaoyu 13–11 54.17%
topoftherock vs Lidia 10–13 43.48%
topoftherock vs Clive 13–9 59.09%
topoftherock vs Alisa 4–15 21.05%
topoftherock vs Jack-8 13–4 76.47%
topoftherock vs Lee 8–9 47.06%
topoftherock vs Leroy 5–10 33.33%
topoftherock vs Raven 7–7 50.00%
topoftherock vs Shaheen 5–6 45.45%
topoftherock vs Feng 8–2 80.00%
topoftherock vs Panda 6–1 85.71%
topoftherock vs Zafina 4–2 66.67%
topoftherock vs Claudio 2–2 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.