Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Elizabeth vs Bryan 16–26 38.10%
Elizabeth vs Kazuya 29–12 70.73%
Elizabeth vs Jin 19–21 47.50%
Elizabeth vs Heihachi 16–22 42.11%
Elizabeth vs King 19–18 51.35%
Elizabeth vs Law 19–12 61.29%
Elizabeth vs Hwoarang 10–20 33.33%
Elizabeth vs Steve 14–13–1 51.85%
Elizabeth vs Lili 14–12 53.85%
Elizabeth vs Paul 18–7 72.00%
Elizabeth vs Armor King 9–16 36.00%
Elizabeth vs Eddy 14–10 58.33%
Elizabeth vs Fahkumram 12–9 57.14%
Elizabeth vs Dragunov 11–8 57.89%
Elizabeth vs Lars 6–13 31.58%
Elizabeth vs Jun 11–8 57.89%
Elizabeth vs Asuka 10–8 55.56%
Elizabeth vs Claudio 12–4 75.00%
Elizabeth vs Reina 11–3 78.57%
Elizabeth vs Devil Jin 6–7 46.15%
Elizabeth vs Alisa 5–8 38.46%
Elizabeth vs Nina 8–5 61.54%
Elizabeth vs Leroy 5–7 41.67%
Elizabeth vs Lidia 4–8 33.33%
Elizabeth vs Yoshimitsu 2–8 20.00%
Elizabeth vs Feng 5–4 55.56%
Elizabeth vs Xiaoyu 1–7 12.50%
Elizabeth vs Lee 3–5 37.50%
Elizabeth vs Zafina 2–6 25.00%
Elizabeth vs Azucena 2–6 25.00%
Elizabeth vs Anna 4–4 50.00%
Elizabeth vs Leo 4–3 57.14%
Elizabeth vs Jack-8 3–3 50.00%
Elizabeth vs Raven 4–2 66.67%
Elizabeth vs Shaheen 1–4 20.00%
Elizabeth vs Miary Zo 4–1 80.00%
Elizabeth vs Kuma 2–2 50.00%
Elizabeth vs Panda 2–2 50.00%
Elizabeth vs Victor 0–4 0.00%
Elizabeth vs Clive 0–2 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.