Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Smoose vs Kazuya 62–63 49.60%
Smoose vs Jin 60–59 50.42%
Smoose vs Reina 40–55 42.11%
Smoose vs King 40–39 50.63%
Smoose vs Bryan 33–37 47.14%
Smoose vs Law 31–29 51.67%
Smoose vs Hwoarang 25–28 47.17%
Smoose vs Lili 26–27 49.06%
Smoose vs Asuka 26–20 56.52%
Smoose vs Paul 12–27 30.77%
Smoose vs Steve 12–27 30.77%
Smoose vs Yoshimitsu 11–26 29.73%
Smoose vs Nina 21–15 58.33%
Smoose vs Azucena 11–22 33.33%
Smoose vs Jun 16–16 50.00%
Smoose vs Dragunov 12–19 38.71%
Smoose vs Lee 10–20 33.33%
Smoose vs Devil Jin 13–16 44.83%
Smoose vs Lidia 6–21 22.22%
Smoose vs Claudio 15–11 57.69%
Smoose vs Lars 15–9 62.50%
Smoose vs Alisa 11–13 45.83%
Smoose vs Jack-8 9–12 42.86%
Smoose vs Xiaoyu 12–8 60.00%
Smoose vs Victor 8–12 40.00%
Smoose vs Heihachi 4–14 22.22%
Smoose vs Eddy 7–9 43.75%
Smoose vs Leo 11–4 73.33%
Smoose vs Raven 9–6 60.00%
Smoose vs Feng 4–9 30.77%
Smoose vs Leroy 3–7 30.00%
Smoose vs Zafina 6–2 75.00%
Smoose vs Kuma 0–7 0.00%
Smoose vs Shaheen 3–3 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.