Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nunchuks vs King 81–88 47.93%
Nunchuks vs Kazuya 87–57 60.42%
Nunchuks vs Jin 79–63 55.63%
Nunchuks vs Law 74–57 56.49%
Nunchuks vs Hwoarang 74–46 61.67%
Nunchuks vs Steve 56–60 48.28%
Nunchuks vs Lars 45–56 44.55%
Nunchuks vs Bryan 52–47 52.53%
Nunchuks vs Azucena 36–50 41.86%
Nunchuks vs Heihachi 38–44 46.34%
Nunchuks vs Feng 35–42 45.45%
Nunchuks vs Jun 42–35 54.55%
Nunchuks vs Victor 27–50 35.06%
Nunchuks vs Paul 37–38 49.33%
Nunchuks vs Reina 30–45 40.00%
Nunchuks vs Lili 34–38 47.22%
Nunchuks vs Eddy 30–40 42.86%
Nunchuks vs Xiaoyu 36–32 52.94%
Nunchuks vs Yoshimitsu 29–33 46.77%
Nunchuks vs Leroy 35–25 58.33%
Nunchuks vs Leo 40–15 72.73%
Nunchuks vs Dragunov 22–29 43.14%
Nunchuks vs Devil Jin 27–21 56.25%
Nunchuks vs Armor King 24–22 52.17%
Nunchuks vs Lee 22–23 48.89%
Nunchuks vs Anna 19–25 43.18%
Nunchuks vs Jack-8 21–22 48.84%
Nunchuks vs Nina 20–19 51.28%
Nunchuks vs Raven 12–25 32.43%
Nunchuks vs Lidia 14–23 37.84%
Nunchuks vs Asuka 13–19 40.62%
Nunchuks vs Claudio 6–18 25.00%
Nunchuks vs Alisa 10–13 43.48%
Nunchuks vs Zafina 8–10 44.44%
Nunchuks vs Miary Zo 7–11 38.89%
Nunchuks vs Fahkumram 4–11 26.67%
Nunchuks vs Kuma 2–8 20.00%
Nunchuks vs Clive 4–6 40.00%
Nunchuks vs Shaheen 6–3 66.67%
Nunchuks vs Panda 1–2 33.33%

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.