Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nyevis12 vs King 81–88 47.93%
Nyevis12 vs Kazuya 81–71 53.29%
Nyevis12 vs Hwoarang 70–75 48.28%
Nyevis12 vs Bryan 59–71 45.38%
Nyevis12 vs Reina 57–70 44.88%
Nyevis12 vs Jin 62–59 51.24%
Nyevis12 vs Dragunov 48–52 48.00%
Nyevis12 vs Steve 49–47 51.04%
Nyevis12 vs Lili 51–38 57.30%
Nyevis12 vs Leo 51–36 58.62%
Nyevis12 vs Yoshimitsu 40–44 47.62%
Nyevis12 vs Asuka 44–40 52.38%
Nyevis12 vs Law 43–39 52.44%
Nyevis12 vs Paul 37–38 49.33%
Nyevis12 vs Victor 38–36 51.35%
Nyevis12 vs Lars 31–40 43.66%
Nyevis12 vs Lee 35–33 51.47%
Nyevis12 vs Feng 30–33 47.62%
Nyevis12 vs Eddy 28–28 50.00%
Nyevis12 vs Azucena 29–24 54.72%
Nyevis12 vs Devil Jin 18–30 37.50%
Nyevis12 vs Nina 19–24 44.19%
Nyevis12 vs Alisa 21–21 50.00%
Nyevis12 vs Jun 25–14 64.10%
Nyevis12 vs Shaheen 21–17 55.26%
Nyevis12 vs Leroy 25–13 65.79%
Nyevis12 vs Xiaoyu 26–11 70.27%
Nyevis12 vs Jack-8 18–17 51.43%
Nyevis12 vs Raven 15–20 42.86%
Nyevis12 vs Claudio 17–13 56.67%
Nyevis12 vs Heihachi 15–14 51.72%
Nyevis12 vs Clive 15–13 53.57%
Nyevis12 vs Armor King 5–22 18.52%
Nyevis12 vs Kuma 13–11 54.17%
Nyevis12 vs Lidia 9–10 47.37%
Nyevis12 vs Panda 9–6 60.00%
Nyevis12 vs Anna 7–7 50.00%
Nyevis12 vs Miary Zo 7–7 50.00%
Nyevis12 vs Zafina 8–5 61.54%
Nyevis12 vs Fahkumram 9–4 69.23%

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.