Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BAUM vs King 10–13 43.48%
BAUM vs Eddy 12–11 52.17%
BAUM vs Hwoarang 13–9 59.09%
BAUM vs Kazuya 7–12 36.84%
BAUM vs Law 7–11 38.89%
BAUM vs Victor 12–6 66.67%
BAUM vs Dragunov 3–13 18.75%
BAUM vs Lili 9–6 60.00%
BAUM vs Bryan 4–10 28.57%
BAUM vs Reina 8–6 57.14%
BAUM vs Yoshimitsu 7–6 53.85%
BAUM vs Jin 4–8 33.33%
BAUM vs Asuka 8–4 66.67%
BAUM vs Steve 6–5 54.55%
BAUM vs Shaheen 2–8 20.00%
BAUM vs Raven 3–7 30.00%
BAUM vs Nina 4–5 44.44%
BAUM vs Azucena 1–8 11.11%
BAUM vs Lars 5–3 62.50%
BAUM vs Leroy 3–5 37.50%
BAUM vs Jun 4–4 50.00%
BAUM vs Claudio 2–5 28.57%
BAUM vs Lee 5–2 71.43%
BAUM vs Xiaoyu 3–3 50.00%
BAUM vs Devil Jin 2–3 40.00%
BAUM vs Jack-8 1–2 33.33%
BAUM vs Feng 1–2 33.33%
BAUM vs Leo 2–1 66.67%
BAUM vs Alisa 1–2 33.33%
BAUM vs Zafina 1–1 50.00%
BAUM vs Lidia 0–2 0.00%
BAUM vs Kuma 0–1 0.00%

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.