Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

killordie vs Kazuya 65–102 38.92%
killordie vs King 87–64 57.62%
killordie vs Bryan 82–68 54.67%
killordie vs Jin 71–68 51.08%
killordie vs Heihachi 45–61 42.45%
killordie vs Dragunov 61–39 61.00%
killordie vs Paul 43–56 43.43%
killordie vs Steve 51–35 59.30%
killordie vs Devil Jin 20–43 31.75%
killordie vs Law 33–29 53.23%
killordie vs Hwoarang 23–36 38.98%
killordie vs Yoshimitsu 17–30 36.17%
killordie vs Armor King 25–21 54.35%
killordie vs Fahkumram 26–18 59.09%
killordie vs Reina 24–19 55.81%
killordie vs Anna 20–21 48.78%
killordie vs Clive 19–21 47.50%
killordie vs Victor 25–10 71.43%
killordie vs Lars 18–16 52.94%
killordie vs Claudio 14–20 41.18%
killordie vs Lee 19–11 63.33%
killordie vs Asuka 19–10 65.52%
killordie vs Feng 17–11 60.71%
killordie vs Lili 15–12 55.56%
killordie vs Jun 18–9 66.67%
killordie vs Nina 15–11 57.69%
killordie vs Eddy 14–10 58.33%
killordie vs Xiaoyu 11–9 55.00%
killordie vs Zafina 7–12 36.84%
killordie vs Alisa 9–9 50.00%
killordie vs Azucena 9–9 50.00%
killordie vs Raven 6–10 37.50%
killordie vs Leo 8–7 53.33%
killordie vs Lidia 4–10 28.57%
killordie vs Shaheen 7–4 63.64%
killordie vs Kuma 9–1 90.00%
killordie vs Miary Zo 5–5 50.00%
killordie vs Leroy 5–3 62.50%
killordie vs Jack-8 3–3 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.