Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Neraphim vs Kazuya 105–137 43.39%
Neraphim vs Jin 99–134 42.49%
Neraphim vs King 120–107 52.86%
Neraphim vs Bryan 81–134 37.67%
Neraphim vs Hwoarang 120–80 60.00%
Neraphim vs Law 86–61 58.50%
Neraphim vs Steve 58–59 49.57%
Neraphim vs Heihachi 51–61 45.54%
Neraphim vs Yoshimitsu 54–54 50.00%
Neraphim vs Reina 60–47 56.07%
Neraphim vs Lili 57–45 55.88%
Neraphim vs Paul 48–51 48.48%
Neraphim vs Dragunov 42–48 46.67%
Neraphim vs Devil Jin 41–40 50.62%
Neraphim vs Lee 38–41 48.10%
Neraphim vs Jun 39–34 53.42%
Neraphim vs Armor King 39–34 53.42%
Neraphim vs Asuka 40–31 56.34%
Neraphim vs Eddy 37–31 54.41%
Neraphim vs Lars 29–32 47.54%
Neraphim vs Alisa 33–21 61.11%
Neraphim vs Lidia 27–25 51.92%
Neraphim vs Nina 27–22 55.10%
Neraphim vs Victor 10–36 21.74%
Neraphim vs Azucena 21–23 47.73%
Neraphim vs Feng 18–22 45.00%
Neraphim vs Clive 10–24 29.41%
Neraphim vs Xiaoyu 17–14 54.84%
Neraphim vs Raven 11–18 37.93%
Neraphim vs Leo 13–15 46.43%
Neraphim vs Jack-8 15–12 55.56%
Neraphim vs Claudio 10–15 40.00%
Neraphim vs Anna 14–11 56.00%
Neraphim vs Leroy 7–15 31.82%
Neraphim vs Fahkumram 5–16 23.81%
Neraphim vs Miary Zo 6–10 37.50%
Neraphim vs Kuma 9–5 64.29%
Neraphim vs Zafina 3–10 23.08%
Neraphim vs Shaheen 6–6 50.00%
Neraphim vs Panda 2–6 25.00%

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.