Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
RNGTRAY
64aR-Mmr5-98BE xbox Traycgillings America

Ratings

RNGTRAY vs King 42–57 42.42%
RNGTRAY vs Law 34–35 49.28%
RNGTRAY vs Dragunov 24–33 42.11%
RNGTRAY vs Kazuya 25–31 44.64%
RNGTRAY vs Yoshimitsu 30–24 55.56%
RNGTRAY vs Lidia 23–29 44.23%
RNGTRAY vs Jin 34–17 66.67%
RNGTRAY vs Jun 26–25 50.98%
RNGTRAY vs Reina 23–27 46.00%
RNGTRAY vs Heihachi 24–26 48.00%
RNGTRAY vs Lars 21–27 43.75%
RNGTRAY vs Lili 16–28 36.36%
RNGTRAY vs Hwoarang 21–21 50.00%
RNGTRAY vs Azucena 15–19 44.12%
RNGTRAY vs Steve 16–17 48.48%
RNGTRAY vs Feng 13–20 39.39%
RNGTRAY vs Anna 21–11 65.62%
RNGTRAY vs Alisa 13–16 44.83%
RNGTRAY vs Eddy 7–20 25.93%
RNGTRAY vs Bryan 4–22 15.38%
RNGTRAY vs Lee 13–13 50.00%
RNGTRAY vs Leroy 13–13 50.00%
RNGTRAY vs Nina 18–7 72.00%
RNGTRAY vs Asuka 9–15 37.50%
RNGTRAY vs Jack-8 10–13 43.48%
RNGTRAY vs Paul 6–16 27.27%
RNGTRAY vs Leo 8–14 36.36%
RNGTRAY vs Raven 16–6 72.73%
RNGTRAY vs Kuma 8–11 42.11%
RNGTRAY vs Victor 10–9 52.63%
RNGTRAY vs Xiaoyu 8–10 44.44%
RNGTRAY vs Devil Jin 12–6 66.67%
RNGTRAY vs Zafina 6–12 33.33%
RNGTRAY vs Clive 7–11 38.89%
RNGTRAY vs Armor King 12–5 70.59%
RNGTRAY vs Claudio 7–7 50.00%
RNGTRAY vs Fahkumram 4–10 28.57%
RNGTRAY vs Shaheen 4–9 30.77%
RNGTRAY vs Miary Zo 2–1 66.67%
RNGTRAY vs Panda 2–0 100.00%

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.