Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

King Nuzz vs King 45–56 44.55%
King Nuzz vs Steve 34–50 40.48%
King Nuzz vs Bryan 40–39 50.63%
King Nuzz vs Reina 28–48 36.84%
King Nuzz vs Kazuya 42–33 56.00%
King Nuzz vs Heihachi 37–38 49.33%
King Nuzz vs Jin 41–32 56.16%
King Nuzz vs Dragunov 40–30 57.14%
King Nuzz vs Hwoarang 33–31 51.56%
King Nuzz vs Eddy 37–27 57.81%
King Nuzz vs Lee 25–34 42.37%
King Nuzz vs Law 23–35 39.66%
King Nuzz vs Paul 21–32 39.62%
King Nuzz vs Clive 25–27 48.08%
King Nuzz vs Jun 26–20 56.52%
King Nuzz vs Victor 18–22 45.00%
King Nuzz vs Lili 13–22 37.14%
King Nuzz vs Asuka 18–15 54.55%
King Nuzz vs Leroy 20–13 60.61%
King Nuzz vs Leo 12–19 38.71%
King Nuzz vs Alisa 19–11 63.33%
King Nuzz vs Nina 14–16 46.67%
King Nuzz vs Azucena 9–21 30.00%
King Nuzz vs Yoshimitsu 13–15 46.43%
King Nuzz vs Lidia 10–18 35.71%
King Nuzz vs Xiaoyu 19–8 70.37%
King Nuzz vs Feng 18–9 66.67%
King Nuzz vs Devil Jin 16–8 66.67%
King Nuzz vs Lars 12–11 52.17%
King Nuzz vs Jack-8 8–14 36.36%
King Nuzz vs Shaheen 11–11 50.00%
King Nuzz vs Raven 9–12 42.86%
King Nuzz vs Zafina 7–7 50.00%
King Nuzz vs Anna 8–6 57.14%
King Nuzz vs Kuma 5–5 50.00%
King Nuzz vs Miary Zo 4–6 40.00%
King Nuzz vs Fahkumram 2–4 33.33%
King Nuzz vs Claudio 2–3 40.00%
King Nuzz vs Armor King 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.