Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Reiner Rillo vs Kazuya 27–8 77.14%
Reiner Rillo vs Jin 24–6 80.00%
Reiner Rillo vs Bryan 19–4 82.61%
Reiner Rillo vs Heihachi 19–3–1 86.36%
Reiner Rillo vs Steve 15–5 75.00%
Reiner Rillo vs King 15–3 83.33%
Reiner Rillo vs Reina 14–4 77.78%
Reiner Rillo vs Victor 13–5 72.22%
Reiner Rillo vs Devil Jin 11–6 64.71%
Reiner Rillo vs Law 13–3 81.25%
Reiner Rillo vs Lee 10–5 66.67%
Reiner Rillo vs Azucena 10–5 66.67%
Reiner Rillo vs Lidia 5–8 38.46%
Reiner Rillo vs Xiaoyu 8–4 66.67%
Reiner Rillo vs Lars 10–2 83.33%
Reiner Rillo vs Eddy 7–5 58.33%
Reiner Rillo vs Hwoarang 6–5 54.55%
Reiner Rillo vs Lili 7–4 63.64%
Reiner Rillo vs Jun 8–3 72.73%
Reiner Rillo vs Yoshimitsu 6–4 60.00%
Reiner Rillo vs Leo 10–0 100.00%
Reiner Rillo vs Nina 8–2 80.00%
Reiner Rillo vs Anna 10–0 100.00%
Reiner Rillo vs Claudio 8–1 88.89%
Reiner Rillo vs Paul 5–3 62.50%
Reiner Rillo vs Asuka 4–4 50.00%
Reiner Rillo vs Dragunov 7–1 87.50%
Reiner Rillo vs Clive 6–1 85.71%
Reiner Rillo vs Feng 4–1 80.00%
Reiner Rillo vs Alisa 5–0 100.00%
Reiner Rillo vs Jack-8 2–2 50.00%
Reiner Rillo vs Raven 4–0 100.00%
Reiner Rillo vs Panda 1–2 33.33%
Reiner Rillo vs Zafina 3–0 100.00%
Reiner Rillo vs Shaheen 1–1 50.00%
Reiner Rillo vs Kuma 0–1 0.00%
Reiner Rillo vs Leroy 1–0 100.00%

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.