Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

DammApple vs King 32–35 47.76%
DammApple vs Steve 14–29 32.56%
DammApple vs Dragunov 16–20 44.44%
DammApple vs Kazuya 20–15 57.14%
DammApple vs Yoshimitsu 19–12 61.29%
DammApple vs Jin 15–14 51.72%
DammApple vs Lili 22–7 75.86%
DammApple vs Eddy 16–12 57.14%
DammApple vs Reina 19–7 73.08%
DammApple vs Heihachi 14–11 56.00%
DammApple vs Law 13–11 54.17%
DammApple vs Bryan 10–14 41.67%
DammApple vs Hwoarang 8–14 36.36%
DammApple vs Asuka 8–13 38.10%
DammApple vs Devil Jin 10–10 50.00%
DammApple vs Lars 6–13 31.58%
DammApple vs Azucena 13–6 68.42%
DammApple vs Lidia 12–6 66.67%
DammApple vs Xiaoyu 9–5 64.29%
DammApple vs Feng 5–7 41.67%
DammApple vs Alisa 7–5 58.33%
DammApple vs Nina 3–9 25.00%
DammApple vs Kuma 5–7 41.67%
DammApple vs Armor King 6–6 50.00%
DammApple vs Claudio 6–5 54.55%
DammApple vs Jun 5–6 45.45%
DammApple vs Jack-8 1–8 11.11%
DammApple vs Victor 3–6 33.33%
DammApple vs Anna 5–3 62.50%
DammApple vs Paul 0–7 0.00%
DammApple vs Leo 5–2 71.43%
DammApple vs Lee 2–3 40.00%
DammApple vs Panda 2–3 40.00%
DammApple vs Clive 2–2 50.00%
DammApple vs Zafina 2–1 66.67%
DammApple vs Leroy 1–2 33.33%
DammApple vs Miary Zo 3–0 100.00%
DammApple vs Shaheen 0–2 0.00%
DammApple vs Raven 2–0 100.00%
DammApple vs Fahkumram 2–0 100.00%

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.