Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BeatMeGently vs Heihachi 82–73 52.90%
BeatMeGently vs Kazuya 59–64 47.97%
BeatMeGently vs Reina 62–50 55.36%
BeatMeGently vs Jin 57–48 54.29%
BeatMeGently vs Bryan 56–42 57.14%
BeatMeGently vs Hwoarang 37–32 53.62%
BeatMeGently vs Lili 31–37 45.59%
BeatMeGently vs Paul 36–29 55.38%
BeatMeGently vs King 39–26 60.00%
BeatMeGently vs Yoshimitsu 33–27 55.00%
BeatMeGently vs Devil Jin 36–23 61.02%
BeatMeGently vs Law 28–24 53.85%
BeatMeGently vs Dragunov 29–23 55.77%
BeatMeGently vs Asuka 20–29 40.82%
BeatMeGently vs Lee 22–22 50.00%
BeatMeGently vs Jun 21–21 50.00%
BeatMeGently vs Eddy 15–27 35.71%
BeatMeGently vs Nina 25–16 60.98%
BeatMeGently vs Lidia 20–16 55.56%
BeatMeGently vs Lars 14–21 40.00%
BeatMeGently vs Leo 17–17 50.00%
BeatMeGently vs Victor 22–11 66.67%
BeatMeGently vs Clive 18–15 54.55%
BeatMeGently vs Xiaoyu 19–12 61.29%
BeatMeGently vs Alisa 14–17 45.16%
BeatMeGently vs Steve 13–14 48.15%
BeatMeGently vs Claudio 13–12 52.00%
BeatMeGently vs Jack-8 15–7 68.18%
BeatMeGently vs Feng 9–11 45.00%
BeatMeGently vs Azucena 16–4 80.00%
BeatMeGently vs Kuma 11–8 57.89%
BeatMeGently vs Leroy 11–8 57.89%
BeatMeGently vs Raven 8–10 44.44%
BeatMeGently vs Shaheen 6–7 46.15%
BeatMeGently vs Zafina 7–5 58.33%
BeatMeGently vs Panda 7–3 70.00%

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.