Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

saem vs Paul 28–16 63.64%
saem vs Dragunov 20–24 45.45%
saem vs Jin 29–13 69.05%
saem vs Kazuya 24–13 64.86%
saem vs King 14–22 38.89%
saem vs Reina 24–11 68.57%
saem vs Bryan 20–9 68.97%
saem vs Jun 15–14 51.72%
saem vs Steve 11–16 40.74%
saem vs Hwoarang 11–15 42.31%
saem vs Alisa 19–6 76.00%
saem vs Yoshimitsu 8–14 36.36%
saem vs Asuka 11–11 50.00%
saem vs Lars 10–9 52.63%
saem vs Victor 10–9 52.63%
saem vs Jack-8 8–9 47.06%
saem vs Nina 6–11 35.29%
saem vs Lili 9–7 56.25%
saem vs Kuma 6–8 42.86%
saem vs Law 6–6 50.00%
saem vs Lee 6–6 50.00%
saem vs Azucena 6–6 50.00%
saem vs Feng 3–8 27.27%
saem vs Claudio 5–6 45.45%
saem vs Leo 4–6 40.00%
saem vs Shaheen 8–2 80.00%
saem vs Xiaoyu 5–4 55.56%
saem vs Eddy 5–3 62.50%
saem vs Raven 2–4 33.33%
saem vs Devil Jin 1–4 20.00%
saem vs Zafina 3–1 75.00%
saem vs Leroy 3–1 75.00%
saem vs Panda 0–1 0.00%

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.