Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Killstone vs King 63–57 52.50%
Killstone vs Jin 44–46 48.89%
Killstone vs Armor King 31–53 36.90%
Killstone vs Steve 37–37 50.00%
Killstone vs Kazuya 23–41 35.94%
Killstone vs Law 25–34 42.37%
Killstone vs Lili 21–36 36.84%
Killstone vs Dragunov 17–29 36.96%
Killstone vs Lars 18–27 40.00%
Killstone vs Bryan 9–33 21.43%
Killstone vs Asuka 14–28 33.33%
Killstone vs Reina 18–23 43.90%
Killstone vs Heihachi 15–26 36.59%
Killstone vs Miary Zo 21–20 51.22%
Killstone vs Azucena 17–22 43.59%
Killstone vs Yoshimitsu 20–18 52.63%
Killstone vs Clive 21–16 56.76%
Killstone vs Eddy 15–21 41.67%
Killstone vs Hwoarang 11–22 33.33%
Killstone vs Xiaoyu 12–20 37.50%
Killstone vs Devil Jin 11–20 35.48%
Killstone vs Kuma 8–22 26.67%
Killstone vs Paul 10–19 34.48%
Killstone vs Jun 10–17 37.04%
Killstone vs Lidia 11–16 40.74%
Killstone vs Lee 10–14 41.67%
Killstone vs Victor 10–14 41.67%
Killstone vs Leroy 8–12 40.00%
Killstone vs Leo 8–11 42.11%
Killstone vs Fahkumram 9–10 47.37%
Killstone vs Feng 8–10 44.44%
Killstone vs Zafina 7–11 38.89%
Killstone vs Nina 4–11 26.67%
Killstone vs Raven 3–10 23.08%
Killstone vs Anna 2–11 15.38%
Killstone vs Alisa 5–7 41.67%
Killstone vs Jack-8 1–6 14.29%
Killstone vs Claudio 4–2 66.67%
Killstone vs Shaheen 1–4 20.00%

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.