Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Emerillion

Ratings

Emerillion vs Jin 84–86 49.41%
Emerillion vs Kazuya 83–71 53.90%
Emerillion vs Hwoarang 55–59 48.25%
Emerillion vs Bryan 50–61 45.05%
Emerillion vs King 46–64 41.82%
Emerillion vs Law 48–57 45.71%
Emerillion vs Steve 22–47 31.88%
Emerillion vs Yoshimitsu 29–30 49.15%
Emerillion vs Feng 29–28 50.88%
Emerillion vs Reina 27–30 47.37%
Emerillion vs Lili 26–25 50.98%
Emerillion vs Victor 22–29 43.14%
Emerillion vs Paul 24–26 48.00%
Emerillion vs Eddy 21–25 45.65%
Emerillion vs Azucena 27–17 61.36%
Emerillion vs Dragunov 15–28 34.88%
Emerillion vs Jun 18–22 45.00%
Emerillion vs Lidia 21–18 53.85%
Emerillion vs Lee 18–19 48.65%
Emerillion vs Xiaoyu 14–22 38.89%
Emerillion vs Heihachi 21–15 58.33%
Emerillion vs Devil Jin 17–17 50.00%
Emerillion vs Lars 10–22 31.25%
Emerillion vs Asuka 18–13 58.06%
Emerillion vs Alisa 14–17 45.16%
Emerillion vs Nina 17–14 54.84%
Emerillion vs Claudio 14–9 60.87%
Emerillion vs Jack-8 8–10 44.44%
Emerillion vs Raven 7–9 43.75%
Emerillion vs Leroy 5–10 33.33%
Emerillion vs Leo 4–8 33.33%
Emerillion vs Kuma 7–4 63.64%
Emerillion vs Zafina 2–8 20.00%
Emerillion vs Anna 2–6 25.00%
Emerillion vs Clive 1–5 16.67%
Emerillion vs Fahkumram 1–4 20.00%
Emerillion vs Shaheen 3–1 75.00%
Emerillion 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.