Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

gimme the unit
hmu ladies
gimme the unit vs Steve 18–5 78.26%
gimme the unit vs King 19–2 90.48%
gimme the unit vs Hwoarang 12–5 70.59%
gimme the unit vs Bryan 10–4 71.43%
gimme the unit vs Asuka 11–0 100.00%
gimme the unit vs Lili 10–1 90.91%
gimme the unit vs Dragunov 9–2 81.82%
gimme the unit vs Xiaoyu 6–4 60.00%
gimme the unit vs Azucena 9–1 90.00%
gimme the unit vs Law 9–0 100.00%
gimme the unit vs Kazuya 9–0 100.00%
gimme the unit vs Jack-8 6–2 75.00%
gimme the unit vs Paul 5–2 71.43%
gimme the unit vs Alisa 5–2 71.43%
gimme the unit vs Reina 5–2 71.43%
gimme the unit vs Eddy 6–1 85.71%
gimme the unit vs Yoshimitsu 6–0 100.00%
gimme the unit vs Lars 5–1 83.33%
gimme the unit vs Lee 5–1 83.33%
gimme the unit vs Kuma 4–1 80.00%
gimme the unit vs Leroy 4–1 80.00%
gimme the unit vs Jin 3–1 75.00%
gimme the unit vs Jun 3–1 75.00%
gimme the unit vs Nina 2–1 66.67%
gimme the unit vs Panda 3–0 100.00%
gimme the unit vs Raven 2–0 100.00%
gimme the unit vs Feng 0–1 0.00%
gimme the unit vs Zafina 1–0 100.00%
gimme the unit vs Victor 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.