Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
HappyNewYear

Ratings

HappyNewYear vs Law 44–43 50.57%
HappyNewYear vs Heihachi 41–33 55.41%
HappyNewYear vs Kazuya 32–40 44.44%
HappyNewYear vs Jin 35–33 51.47%
HappyNewYear vs King 32–21 60.38%
HappyNewYear vs Steve 30–20 60.00%
HappyNewYear vs Hwoarang 19–27 41.30%
HappyNewYear vs Paul 18–27 40.00%
HappyNewYear vs Anna 18–21 46.15%
HappyNewYear vs Bryan 19–17 52.78%
HappyNewYear vs Reina 24–12 66.67%
HappyNewYear vs Yoshimitsu 13–16 44.83%
HappyNewYear vs Lili 19–10 65.52%
HappyNewYear vs Dragunov 11–16 40.74%
HappyNewYear vs Nina 12–13 48.00%
HappyNewYear vs Clive 13–12 52.00%
HappyNewYear vs Devil Jin 14–10 58.33%
HappyNewYear vs Lee 9–15 37.50%
HappyNewYear vs Jun 13–11 54.17%
HappyNewYear vs Victor 13–10 56.52%
HappyNewYear vs Eddy 7–13 35.00%
HappyNewYear vs Asuka 9–10 47.37%
HappyNewYear vs Lidia 10–8 55.56%
HappyNewYear vs Claudio 6–11 35.29%
HappyNewYear vs Leroy 10–6 62.50%
HappyNewYear vs Feng 8–7 53.33%
HappyNewYear vs Xiaoyu 5–7 41.67%
HappyNewYear vs Lars 4–8 33.33%
HappyNewYear vs Azucena 5–7 41.67%
HappyNewYear vs Alisa 6–5 54.55%
HappyNewYear vs Jack-8 5–4 55.56%
HappyNewYear vs Leo 2–7 22.22%
HappyNewYear vs Kuma 3–4 42.86%
HappyNewYear vs Shaheen 5–0 100.00%
HappyNewYear vs Zafina 0–3 0.00%
HappyNewYear vs Raven 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.