Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NickRoyy vs Kazuya 89–90 49.72%
NickRoyy vs King 86–82 51.19%
NickRoyy vs Reina 60–50 54.55%
NickRoyy vs Jin 51–54 48.57%
NickRoyy vs Bryan 49–51 49.00%
NickRoyy vs Heihachi 44–51 46.32%
NickRoyy vs Steve 42–47 47.19%
NickRoyy vs Dragunov 44–39 53.01%
NickRoyy vs Law 37–38 49.33%
NickRoyy vs Hwoarang 37–36 50.68%
NickRoyy vs Jun 42–30 58.33%
NickRoyy vs Azucena 30–41 42.25%
NickRoyy vs Lili 43–25 63.24%
NickRoyy vs Eddy 34–34 50.00%
NickRoyy vs Paul 34–32 51.52%
NickRoyy vs Lee 19–47 28.79%
NickRoyy vs Yoshimitsu 26–39 40.00%
NickRoyy vs Armor King 25–32 43.86%
NickRoyy vs Xiaoyu 21–29 42.00%
NickRoyy vs Asuka 24–25 48.98%
NickRoyy vs Lars 19–24 44.19%
NickRoyy vs Devil Jin 18–23 43.90%
NickRoyy vs Raven 18–23 43.90%
NickRoyy vs Clive 17–21 44.74%
NickRoyy vs Fahkumram 15–21 41.67%
NickRoyy vs Jack-8 21–13 61.76%
NickRoyy vs Feng 10–23 30.30%
NickRoyy vs Victor 14–18 43.75%
NickRoyy vs Leo 14–16 46.67%
NickRoyy vs Nina 16–14 53.33%
NickRoyy vs Alisa 14–15 48.28%
NickRoyy vs Lidia 14–13 51.85%
NickRoyy vs Leroy 12–13 48.00%
NickRoyy vs Claudio 10–14 41.67%
NickRoyy vs Shaheen 9–13 40.91%
NickRoyy vs Kuma 10–12 45.45%
NickRoyy vs Anna 8–12 40.00%
NickRoyy vs Zafina 6–7 46.15%
NickRoyy vs Panda 6–3 66.67%
NickRoyy vs Miary Zo 2–4 33.33%

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.