Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
mathteacher

Ratings

mathteacher vs Bryan 17–14 54.84%
mathteacher vs King 22–7 75.86%
mathteacher vs Clive 16–9 64.00%
mathteacher vs Steve 13–11 54.17%
mathteacher vs Lili 11–8 57.89%
mathteacher vs Yoshimitsu 13–5 72.22%
mathteacher vs Devil Jin 6–6 50.00%
mathteacher vs Xiaoyu 5–6 45.45%
mathteacher vs Hwoarang 4–6 40.00%
mathteacher vs Jin 6–4 60.00%
mathteacher vs Paul 5–4 55.56%
mathteacher vs Dragunov 5–4 55.56%
mathteacher vs Kazuya 4–2 66.67%
mathteacher vs Jack-8 3–2 60.00%
mathteacher vs Leroy 4–1 80.00%
mathteacher vs Nina 0–4 0.00%
mathteacher vs Lee 4–0 100.00%
mathteacher vs Heihachi 4–0 100.00%
mathteacher vs Law 2–1 66.67%
mathteacher vs Claudio 2–1 66.67%
mathteacher vs Kuma 1–2 33.33%
mathteacher vs Reina 1–2 33.33%
mathteacher vs Azucena 2–1 66.67%
mathteacher vs Fahkumram 2–1 66.67%
mathteacher vs Asuka 2–0 100.00%
mathteacher vs Lars 0–2 0.00%
mathteacher vs Victor 0–2 0.00%
mathteacher vs Eddy 0–2 0.00%
mathteacher vs Feng 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.