Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Dillinger357

Ratings

Dillinger357 vs King 27–23 54.00%
Dillinger357 vs Reina 24–23–1 51.06%
Dillinger357 vs Kazuya 28–16 63.64%
Dillinger357 vs Jin 22–16–1 57.89%
Dillinger357 vs Yoshimitsu 23–15 60.53%
Dillinger357 vs Lili 20–18 52.63%
Dillinger357 vs Heihachi 25–8 75.76%
Dillinger357 vs Paul 18–14 56.25%
Dillinger357 vs Hwoarang 17–15 53.12%
Dillinger357 vs Bryan 24–7 77.42%
Dillinger357 vs Dragunov 20–10 66.67%
Dillinger357 vs Clive 15–14 51.72%
Dillinger357 vs Feng 15–11 57.69%
Dillinger357 vs Lee 13–13 50.00%
Dillinger357 vs Law 18–7 72.00%
Dillinger357 vs Nina 10–15 40.00%
Dillinger357 vs Jun 17–8 68.00%
Dillinger357 vs Eddy 11–13 45.83%
Dillinger357 vs Xiaoyu 14–7 66.67%
Dillinger357 vs Steve 10–11 47.62%
Dillinger357 vs Victor 6–13 31.58%
Dillinger357 vs Lars 6–12 33.33%
Dillinger357 vs Azucena 9–7 56.25%
Dillinger357 vs Leo 9–6 60.00%
Dillinger357 vs Asuka 7–6 53.85%
Dillinger357 vs Raven 5–8 38.46%
Dillinger357 vs Claudio 6–6 50.00%
Dillinger357 vs Shaheen 5–6 45.45%
Dillinger357 vs Alisa 5–5 50.00%
Dillinger357 vs Leroy 5–5 50.00%
Dillinger357 vs Lidia 7–2 77.78%
Dillinger357 vs Kuma 3–5 37.50%
Dillinger357 vs Jack-8 4–3 57.14%
Dillinger357 vs Devil Jin 3–4 42.86%
Dillinger357 vs Zafina 3–2 60.00%
Dillinger357 vs Panda 2–2 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.