Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LoveMooTender69 vs Bryan 8–3 72.73%
LoveMooTender69 vs Lili 8–2 80.00%
LoveMooTender69 vs Hwoarang 3–4 42.86%
LoveMooTender69 vs King 6–0 100.00%
LoveMooTender69 vs Xiaoyu 4–2 66.67%
LoveMooTender69 vs Steve 6–0 100.00%
LoveMooTender69 vs Reina 6–0 100.00%
LoveMooTender69 vs Law 3–2 60.00%
LoveMooTender69 vs Jin 5–0 100.00%
LoveMooTender69 vs Kazuya 2–3 40.00%
LoveMooTender69 vs Lars 2–3 40.00%
LoveMooTender69 vs Lidia 3–2 60.00%
LoveMooTender69 vs Dragunov 4–0 100.00%
LoveMooTender69 vs Yoshimitsu 2–1 66.67%
LoveMooTender69 vs Claudio 1–2 33.33%
LoveMooTender69 vs Kuma 2–1 66.67%
LoveMooTender69 vs Jun 2–1 66.67%
LoveMooTender69 vs Azucena 3–0 100.00%
LoveMooTender69 vs Feng 2–0 100.00%
LoveMooTender69 vs Leo 0–2 0.00%
LoveMooTender69 vs Nina 0–2 0.00%
LoveMooTender69 vs Jack-8 0–1 0.00%
LoveMooTender69 vs Shaheen 1–0 100.00%
LoveMooTender69 vs Lee 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.