Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KingWoody vs Armor King 58–111 34.32%
KingWoody vs Kazuya 35–58 37.63%
KingWoody vs King 46–43 51.69%
KingWoody vs Heihachi 24–37 39.34%
KingWoody vs Steve 27–30 47.37%
KingWoody vs Law 21–29 42.00%
KingWoody vs Bryan 19–30 38.78%
KingWoody vs Jin 22–26 45.83%
KingWoody vs Eddy 14–31 31.11%
KingWoody vs Lee 17–27 38.64%
KingWoody vs Reina 20–21 48.78%
KingWoody vs Azucena 15–23 39.47%
KingWoody vs Lidia 15–23 39.47%
KingWoody vs Yoshimitsu 22–13 62.86%
KingWoody vs Hwoarang 13–21 38.24%
KingWoody vs Fahkumram 10–24 29.41%
KingWoody vs Jun 12–20 37.50%
KingWoody vs Asuka 11–20 35.48%
KingWoody vs Dragunov 10–20 33.33%
KingWoody vs Anna 16–14 53.33%
KingWoody vs Devil Jin 13–16 44.83%
KingWoody vs Paul 13–14 48.15%
KingWoody vs Miary Zo 10–16 38.46%
KingWoody vs Lili 10–14 41.67%
KingWoody vs Victor 14–9 60.87%
KingWoody vs Lars 11–10 52.38%
KingWoody vs Feng 8–11 42.11%
KingWoody vs Claudio 10–7 58.82%
KingWoody vs Clive 6–11 35.29%
KingWoody vs Leo 9–7 56.25%
KingWoody vs Alisa 7–9 43.75%
KingWoody vs Zafina 11–5 68.75%
KingWoody vs Leroy 5–10 33.33%
KingWoody vs Raven 5–10 33.33%
KingWoody vs Xiaoyu 9–5 64.29%
KingWoody vs Jack-8 5–9 35.71%
KingWoody vs Nina 7–6 53.85%
KingWoody vs Shaheen 1–8 11.11%
KingWoody vs Panda 2–7 22.22%

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.