Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

HowDidIBeatYou vs Reina 19–13 59.38%
HowDidIBeatYou vs Lee 21–10 67.74%
HowDidIBeatYou vs King 19–10 65.52%
HowDidIBeatYou vs Dragunov 14–9 60.87%
HowDidIBeatYou vs Jin 17–5 77.27%
HowDidIBeatYou vs Kazuya 13–8 61.90%
HowDidIBeatYou vs Bryan 11–9 55.00%
HowDidIBeatYou vs Paul 13–4 76.47%
HowDidIBeatYou vs Xiaoyu 9–8 52.94%
HowDidIBeatYou vs Nina 15–2 88.24%
HowDidIBeatYou vs Lidia 7–10 41.18%
HowDidIBeatYou vs Alisa 12–4 75.00%
HowDidIBeatYou vs Hwoarang 5–8 38.46%
HowDidIBeatYou vs Lili 12–1 92.31%
HowDidIBeatYou vs Yoshimitsu 10–2 83.33%
HowDidIBeatYou vs Lars 5–6 45.45%
HowDidIBeatYou vs Raven 10–1 90.91%
HowDidIBeatYou vs Steve 4–6 40.00%
HowDidIBeatYou vs Claudio 8–2 80.00%
HowDidIBeatYou vs Jun 9–1 90.00%
HowDidIBeatYou vs Asuka 6–3 66.67%
HowDidIBeatYou vs Leroy 7–2 77.78%
HowDidIBeatYou vs Azucena 6–3 66.67%
HowDidIBeatYou vs Law 5–2 71.43%
HowDidIBeatYou vs Leo 5–2 71.43%
HowDidIBeatYou vs Victor 6–1 85.71%
HowDidIBeatYou vs Eddy 4–3 57.14%
HowDidIBeatYou vs Fahkumram 6–1 85.71%
HowDidIBeatYou vs Kuma 4–1 80.00%
HowDidIBeatYou vs Heihachi 3–2 60.00%
HowDidIBeatYou vs Jack-8 4–0 100.00%
HowDidIBeatYou vs Panda 1–3 25.00%
HowDidIBeatYou vs Devil Jin 2–1 66.67%
HowDidIBeatYou vs Feng 2–1 66.67%
HowDidIBeatYou vs Anna 1–0 100.00%

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.