Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

learning vs Jin 62–47 56.88%
learning vs Kazuya 52–36 59.09%
learning vs Reina 50–35 58.82%
learning vs Bryan 38–41 48.10%
learning vs King 44–31 58.67%
learning vs Law 30–26 53.57%
learning vs Steve 32–24 57.14%
learning vs Heihachi 37–17 68.52%
learning vs Paul 28–23 54.90%
learning vs Dragunov 29–21 58.00%
learning vs Lili 27–19 58.70%
learning vs Hwoarang 24–19 55.81%
learning vs Clive 33–9 78.57%
learning vs Lidia 31–8 79.49%
learning vs Yoshimitsu 12–24 33.33%
learning vs Jun 21–15 58.33%
learning vs Asuka 13–18 41.94%
learning vs Devil Jin 18–13 58.06%
learning vs Azucena 15–14 51.72%
learning vs Victor 15–12 55.56%
learning vs Lars 9–16 36.00%
learning vs Nina 11–13 45.83%
learning vs Anna 15–9 62.50%
learning vs Xiaoyu 16–7 69.57%
learning vs Lee 11–12 47.83%
learning vs Alisa 11–7 61.11%
learning vs Feng 6–11 35.29%
learning vs Leo 4–9 30.77%
learning vs Claudio 4–9 30.77%
learning vs Jack-8 3–9 25.00%
learning vs Leroy 7–5 58.33%
learning vs Raven 7–5 58.33%
learning vs Fahkumram 6–4 60.00%
learning vs Kuma 4–5 44.44%
learning vs Zafina 7–2 77.78%
learning vs Eddy 6–3 66.67%
learning vs Shaheen 2–6 25.00%
learning vs Armor King 1–3 25.00%
learning 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.