Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

moem vs King 34–13 72.34%
moem vs Clive 21–25 45.65%
moem vs Hwoarang 22–13 62.86%
moem vs Bryan 20–7 74.07%
moem vs Kazuya 18–8 69.23%
moem vs Heihachi 17–8 68.00%
moem vs Paul 18–6 75.00%
moem vs Reina 12–12 50.00%
moem vs Law 13–10 56.52%
moem vs Dragunov 16–6 72.73%
moem vs Lili 15–5 75.00%
moem vs Steve 8–10 44.44%
moem vs Asuka 11–7 61.11%
moem vs Jack-8 7–10 41.18%
moem vs Alisa 11–5 68.75%
moem vs Xiaoyu 10–4 71.43%
moem vs Jin 6–8 42.86%
moem vs Lars 4–9 30.77%
moem vs Shaheen 8–5 61.54%
moem vs Feng 7–5 58.33%
moem vs Lee 5–7 41.67%
moem vs Kuma 5–7 41.67%
moem vs Zafina 9–3 75.00%
moem vs Yoshimitsu 7–4 63.64%
moem vs Claudio 7–4 63.64%
moem vs Jun 6–5 54.55%
moem vs Azucena 4–6 40.00%
moem vs Raven 8–2 80.00%
moem vs Nina 8–1 88.89%
moem vs Victor 4–4 50.00%
moem vs Leo 4–2 66.67%
moem vs Lidia 6–0 100.00%
moem vs Panda 1–2 33.33%
moem vs Eddy 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.