Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

naomi chungus vs King 20–14 58.82%
naomi chungus vs Reina 24–9 72.73%
naomi chungus vs Kazuya 18–8 69.23%
naomi chungus vs Jun 18–6 75.00%
naomi chungus vs Bryan 13–9 59.09%
naomi chungus vs Hwoarang 17–2 89.47%
naomi chungus vs Steve 10–5 66.67%
naomi chungus vs Jin 12–2 85.71%
naomi chungus vs Lili 13–1 92.86%
naomi chungus vs Heihachi 9–5 64.29%
naomi chungus vs Law 10–2 83.33%
naomi chungus vs Yoshimitsu 9–3 75.00%
naomi chungus vs Dragunov 10–2 83.33%
naomi chungus vs Eddy 10–2 83.33%
naomi chungus vs Nina 9–1 90.00%
naomi chungus vs Jack-8 6–3 66.67%
naomi chungus vs Asuka 7–1 87.50%
naomi chungus vs Feng 5–2 71.43%
naomi chungus vs Claudio 3–4 42.86%
naomi chungus vs Azucena 5–2 71.43%
naomi chungus vs Clive 6–1 85.71%
naomi chungus vs Paul 3–3 50.00%
naomi chungus vs Leo 4–2 66.67%
naomi chungus vs Leroy 4–2 66.67%
naomi chungus vs Devil Jin 1–4 20.00%
naomi chungus vs Lee 1–4 20.00%
naomi chungus vs Victor 4–1 80.00%
naomi chungus vs Raven 1–4 20.00%
naomi chungus vs Xiaoyu 4–0 100.00%
naomi chungus vs Zafina 0–4 0.00%
naomi chungus vs Lidia 4–0 100.00%
naomi chungus vs Alisa 3–0 100.00%
naomi chungus vs Lars 2–0 100.00%
naomi chungus vs Shaheen 1–1 50.00%
naomi chungus vs Kuma 2–0 100.00%
naomi chungus vs Panda 2–0 100.00%

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.