Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
mabL

Ratings

mabL vs Kazuya 21–25 45.65%
mabL vs King 22–21 51.16%
mabL vs Jin 12–19 38.71%
mabL vs Eddy 8–23 25.81%
mabL vs Steve 15–14 51.72%
mabL vs Jun 7–22 24.14%
mabL vs Reina 15–13 53.57%
mabL vs Hwoarang 13–13 50.00%
mabL vs Anna 8–18 30.77%
mabL vs Azucena 9–15 37.50%
mabL vs Asuka 7–16 30.43%
mabL vs Law 6–16 27.27%
mabL vs Bryan 11–10 52.38%
mabL vs Paul 10–9 52.63%
mabL vs Lee 8–11 42.11%
mabL vs Victor 13–6 68.42%
mabL vs Lili 8–10 44.44%
mabL vs Dragunov 6–12 33.33%
mabL vs Leo 4–14 22.22%
mabL vs Heihachi 9–8 52.94%
mabL vs Alisa 3–12 20.00%
mabL vs Lidia 4–10 28.57%
mabL vs Lars 6–7 46.15%
mabL vs Yoshimitsu 3–9 25.00%
mabL vs Devil Jin 3–9 25.00%
mabL vs Nina 5–7 41.67%
mabL vs Leroy 10–2 83.33%
mabL vs Clive 7–5 58.33%
mabL vs Xiaoyu 5–5 50.00%
mabL vs Jack-8 4–5 44.44%
mabL vs Zafina 6–3 66.67%
mabL vs Feng 3–5 37.50%
mabL vs Raven 1–3 25.00%
mabL vs Kuma 2–1 66.67%
mabL vs Panda 1–2 33.33%
mabL vs Miary Zo 0–2 0.00%
mabL vs Shaheen 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.