Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

nusa5000 vs Jin 390–306 56.03%
nusa5000 vs Kazuya 341–281 54.82%
nusa5000 vs King 295–271 52.12%
nusa5000 vs Bryan 220–273 44.62%
nusa5000 vs Yoshimitsu 246–157 61.04%
nusa5000 vs Hwoarang 196–189 50.91%
nusa5000 vs Heihachi 166–188 46.89%
nusa5000 vs Paul 172–174 49.71%
nusa5000 vs Law 187–138 57.54%
nusa5000 vs Steve 133–129 50.76%
nusa5000 vs Dragunov 111–144 43.53%
nusa5000 vs Lars 102–121 45.74%
nusa5000 vs Alisa 118–99 54.38%
nusa5000 vs Devil Jin 96–107 47.29%
nusa5000 vs Lili 102–84 54.84%
nusa5000 vs Lee 77–103 42.78%
nusa5000 vs Reina 77–81 48.73%
nusa5000 vs Victor 81–56 59.12%
nusa5000 vs Nina 59–75 44.03%
nusa5000 vs Feng 65–68 48.87%
nusa5000 vs Xiaoyu 60–65 48.00%
nusa5000 vs Asuka 54–60 47.37%
nusa5000 vs Jack-8 53–60 46.90%
nusa5000 vs Anna 51–56 47.66%
nusa5000 vs Eddy 52–51 50.49%
nusa5000 vs Raven 52–48 52.00%
nusa5000 vs Jun 35–54 39.33%
nusa5000 vs Claudio 34–47 41.98%
nusa5000 vs Azucena 25–48 34.25%
nusa5000 vs Kuma 24–43 35.82%
nusa5000 vs Armor King 25–39 39.06%
nusa5000 vs Leo 31–31 50.00%
nusa5000 vs Leroy 28–27 50.91%
nusa5000 vs Lidia 24–30 44.44%
nusa5000 vs Fahkumram 13–24 35.14%
nusa5000 vs Zafina 11–20 35.48%
nusa5000 vs Clive 18–12 60.00%
nusa5000 vs Shaheen 11–17 39.29%
nusa5000 vs Panda 6–7 46.15%

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.