Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kngjaylon vs Reina 23–27 46.00%
kngjaylon vs Fahkumram 18–19 48.65%
kngjaylon vs Kazuya 13–21 38.24%
kngjaylon vs Bryan 15–17 46.88%
kngjaylon vs Azucena 13–18 41.94%
kngjaylon vs King 16–14 53.33%
kngjaylon vs Lili 10–19 34.48%
kngjaylon vs Hwoarang 10–18 35.71%
kngjaylon vs Jin 6–20 23.08%
kngjaylon vs Steve 11–15 42.31%
kngjaylon vs Heihachi 7–17 29.17%
kngjaylon vs Asuka 15–8 65.22%
kngjaylon vs Victor 11–12 47.83%
kngjaylon vs Eddy 4–18 18.18%
kngjaylon vs Armor King 11–11 50.00%
kngjaylon vs Yoshimitsu 12–9 57.14%
kngjaylon vs Dragunov 6–15 28.57%
kngjaylon vs Lee 9–11 45.00%
kngjaylon vs Law 7–12 36.84%
kngjaylon vs Xiaoyu 10–7 58.82%
kngjaylon vs Clive 8–7 53.33%
kngjaylon vs Devil Jin 12–0 100.00%
kngjaylon vs Nina 3–9 25.00%
kngjaylon vs Miary Zo 6–6 50.00%
kngjaylon vs Paul 5–6 45.45%
kngjaylon vs Lars 4–7 36.36%
kngjaylon vs Leroy 7–4 63.64%
kngjaylon vs Alisa 7–3 70.00%
kngjaylon vs Jun 3–6 33.33%
kngjaylon vs Lidia 4–5 44.44%
kngjaylon vs Claudio 0–8 0.00%
kngjaylon vs Raven 2–6 25.00%
kngjaylon vs Anna 3–5 37.50%
kngjaylon vs Feng 2–4 33.33%
kngjaylon vs Shaheen 3–3 50.00%
kngjaylon vs Kuma 2–4 33.33%
kngjaylon vs Leo 1–3 25.00%
kngjaylon vs Jack-8 2–1 66.67%
kngjaylon vs Panda 2–1 66.67%
kngjaylon vs Zafina 0–2 0.00%

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.