Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

RM30182
ZRG_01
Tanner_001
RM30182 vs Reina 16–2 88.89%
RM30182 vs King 15–2 88.24%
RM30182 vs Kazuya 15–2 88.24%
RM30182 vs Paul 12–1 92.31%
RM30182 vs Jin 11–0 100.00%
RM30182 vs Dragunov 7–4 63.64%
RM30182 vs Bryan 7–1 87.50%
RM30182 vs Lidia 6–2 75.00%
RM30182 vs Hwoarang 7–0 100.00%
RM30182 vs Asuka 7–0 100.00%
RM30182 vs Devil Jin 4–3 57.14%
RM30182 vs Feng 4–3 57.14%
RM30182 vs Lili 5–2 71.43%
RM30182 vs Jun 5–2 71.43%
RM30182 vs Leroy 6–0 100.00%
RM30182 vs Steve 5–0 100.00%
RM30182 vs Claudio 4–1 80.00%
RM30182 vs Nina 2–3 40.00%
RM30182 vs Law 4–0 100.00%
RM30182 vs Leo 4–0 100.00%
RM30182 vs Xiaoyu 3–0 100.00%
RM30182 vs Alisa 3–0 100.00%
RM30182 vs Azucena 2–1 66.67%
RM30182 vs Eddy 3–0 100.00%
RM30182 vs Yoshimitsu 1–1 50.00%
RM30182 vs Lee 2–0 100.00%
RM30182 vs Kuma 2–0 100.00%
RM30182 vs Jack-8 1–0 100.00%
RM30182 vs Lars 0–1 0.00%
RM30182 vs Victor 1–0 100.00%
RM30182 vs Raven 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.