Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

PoolNoodles vs Jin 77–76 50.33%
PoolNoodles vs Bryan 62–57 52.10%
PoolNoodles vs Kazuya 38–40 48.72%
PoolNoodles vs Reina 33–44 42.86%
PoolNoodles vs Dragunov 35–34 50.72%
PoolNoodles vs Lars 26–38 40.62%
PoolNoodles vs Law 34–28 54.84%
PoolNoodles vs Lili 39–19 67.24%
PoolNoodles vs Hwoarang 21–32 39.62%
PoolNoodles vs Victor 33–18 64.71%
PoolNoodles vs King 22–27 44.90%
PoolNoodles vs Steve 22–26 45.83%
PoolNoodles vs Paul 24–17 58.54%
PoolNoodles vs Nina 17–24 41.46%
PoolNoodles vs Jun 12–27 30.77%
PoolNoodles vs Yoshimitsu 21–17 55.26%
PoolNoodles vs Xiaoyu 19–17 52.78%
PoolNoodles vs Leroy 23–13 63.89%
PoolNoodles vs Lee 17–16 51.52%
PoolNoodles vs Alisa 16–14 53.33%
PoolNoodles vs Asuka 17–11 60.71%
PoolNoodles vs Heihachi 13–15 46.43%
PoolNoodles vs Shaheen 10–17 37.04%
PoolNoodles vs Devil Jin 17–8 68.00%
PoolNoodles vs Eddy 9–15 37.50%
PoolNoodles vs Kuma 11–12 47.83%
PoolNoodles vs Jack-8 11–10 52.38%
PoolNoodles vs Zafina 7–12 36.84%
PoolNoodles vs Raven 11–8 57.89%
PoolNoodles vs Leo 8–10 44.44%
PoolNoodles vs Azucena 10–6 62.50%
PoolNoodles vs Claudio 13–2 86.67%
PoolNoodles vs Feng 6–7 46.15%
PoolNoodles vs Lidia 5–2 71.43%
PoolNoodles vs Clive 5–1 83.33%
PoolNoodles vs Anna 2–3 40.00%
PoolNoodles vs Panda 2–0 100.00%

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.