Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Naturholz

Ratings

Naturholz vs Jin 86–52 62.32%
Naturholz vs Hwoarang 62–32 65.96%
Naturholz vs King 48–45 51.61%
Naturholz vs Kazuya 60–27 68.97%
Naturholz vs Law 54–30 64.29%
Naturholz vs Eddy 39–38 50.65%
Naturholz vs Steve 57–19 75.00%
Naturholz vs Reina 51–22 69.86%
Naturholz vs Heihachi 35–28 55.56%
Naturholz vs Clive 29–29 50.00%
Naturholz vs Bryan 30–21 58.82%
Naturholz vs Devil Jin 31–20 60.78%
Naturholz vs Victor 27–17 61.36%
Naturholz vs Yoshimitsu 24–19 55.81%
Naturholz vs Nina 25–13 65.79%
Naturholz vs Jun 22–14 61.11%
Naturholz vs Paul 19–11 63.33%
Naturholz vs Feng 14–16 46.67%
Naturholz vs Dragunov 17–13 56.67%
Naturholz vs Alisa 15–15 50.00%
Naturholz vs Lidia 26–4 86.67%
Naturholz vs Leroy 21–7 75.00%
Naturholz vs Xiaoyu 22–4 84.62%
Naturholz vs Lee 11–15 42.31%
Naturholz vs Azucena 21–5 80.77%
Naturholz vs Armor King 12–13 48.00%
Naturholz vs Lili 16–8 66.67%
Naturholz vs Asuka 12–9 57.14%
Naturholz vs Lars 17–4 80.95%
Naturholz vs Leo 11–5 68.75%
Naturholz vs Fahkumram 9–7 56.25%
Naturholz vs Zafina 11–1 91.67%
Naturholz vs Claudio 6–4 60.00%
Naturholz vs Panda 4–6 40.00%
Naturholz vs Shaheen 6–3 66.67%
Naturholz vs Kuma 4–5 44.44%
Naturholz vs Anna 3–5 37.50%
Naturholz vs Jack-8 3–3 50.00%
Naturholz vs Raven 2–1 66.67%

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.