Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MELATONINN vs Kazuya 30–16 65.22%
MELATONINN vs Steve 28–13 68.29%
MELATONINN vs Dragunov 16–22 42.11%
MELATONINN vs Reina 20–17 54.05%
MELATONINN vs Paul 8–22 26.67%
MELATONINN vs King 13–17 43.33%
MELATONINN vs Jin 10–19 34.48%
MELATONINN vs Hwoarang 11–12 47.83%
MELATONINN vs Bryan 16–6 72.73%
MELATONINN vs Lili 16–4 80.00%
MELATONINN vs Victor 12–8 60.00%
MELATONINN vs Heihachi 8–10 44.44%
MELATONINN vs Yoshimitsu 8–8 50.00%
MELATONINN vs Asuka 7–9 43.75%
MELATONINN vs Jun 11–5 68.75%
MELATONINN vs Lidia 7–9 43.75%
MELATONINN vs Xiaoyu 4–11 26.67%
MELATONINN vs Nina 6–9 40.00%
MELATONINN vs Azucena 10–5 66.67%
MELATONINN vs Anna 6–8 42.86%
MELATONINN vs Law 9–4 69.23%
MELATONINN vs Lars 9–4 69.23%
MELATONINN vs Armor King 6–7 46.15%
MELATONINN vs Alisa 4–8 33.33%
MELATONINN vs Eddy 6–6 50.00%
MELATONINN vs Fahkumram 8–3 72.73%
MELATONINN vs Devil Jin 6–4 60.00%
MELATONINN vs Jack-8 4–5 44.44%
MELATONINN vs Leo 3–6 33.33%
MELATONINN vs Claudio 5–4 55.56%
MELATONINN vs Lee 4–4 50.00%
MELATONINN vs Leroy 2–4 33.33%
MELATONINN vs Kuma 2–3 40.00%
MELATONINN vs Raven 4–0 100.00%
MELATONINN vs Zafina 1–2 33.33%
MELATONINN vs Clive 0–3 0.00%
MELATONINN vs Miary Zo 0–3 0.00%
MELATONINN vs Feng 2–0 100.00%
MELATONINN vs Panda 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.