Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Nukk Out

Ratings

Nukk Out vs Jin 99–71 58.24%
Nukk Out vs Kazuya 78–87 47.27%
Nukk Out vs King 85–57 59.86%
Nukk Out vs Law 65–53 55.08%
Nukk Out vs Hwoarang 58–58 50.00%
Nukk Out vs Reina 56–56 50.00%
Nukk Out vs Bryan 51–52 49.51%
Nukk Out vs Steve 53–43 55.21%
Nukk Out vs Paul 43–41 51.19%
Nukk Out vs Dragunov 41–42 49.40%
Nukk Out vs Yoshimitsu 28–36 43.75%
Nukk Out vs Eddy 33–27 55.00%
Nukk Out vs Lili 34–24 58.62%
Nukk Out vs Jun 28–28 50.00%
Nukk Out vs Azucena 24–27 47.06%
Nukk Out vs Heihachi 32–18 64.00%
Nukk Out vs Victor 18–30 37.50%
Nukk Out vs Asuka 21–26 44.68%
Nukk Out vs Nina 21–24 46.67%
Nukk Out vs Lars 23–20 53.49%
Nukk Out vs Alisa 22–21 51.16%
Nukk Out vs Devil Jin 16–26 38.10%
Nukk Out vs Xiaoyu 20–21 48.78%
Nukk Out vs Feng 12–20 37.50%
Nukk Out vs Lidia 19–12 61.29%
Nukk Out vs Clive 13–18 41.94%
Nukk Out vs Leo 19–11 63.33%
Nukk Out vs Lee 12–18 40.00%
Nukk Out vs Claudio 15–10 60.00%
Nukk Out vs Jack-8 6–16 27.27%
Nukk Out vs Raven 10–12 45.45%
Nukk Out vs Anna 12–9 57.14%
Nukk Out vs Leroy 10–9 52.63%
Nukk Out vs Kuma 6–9 40.00%
Nukk Out vs Shaheen 4–8 33.33%
Nukk Out vs Zafina 7–5 58.33%
Nukk Out vs Fahkumram 7–5 58.33%
Nukk Out vs Panda 4–5 44.44%
Nukk Out vs Armor King 5–4 55.56%
Nukk Out vs Miary Zo 1–1 50.00%

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.