Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

+_+ Win - Lose vs Kazuya 12–16 42.86%
+_+ Win - Lose vs Bryan 16–11 59.26%
+_+ Win - Lose vs Hwoarang 15–11 57.69%
+_+ Win - Lose vs Lili 9–13 40.91%
+_+ Win - Lose vs Law 13–7 65.00%
+_+ Win - Lose vs Jin 12–8 60.00%
+_+ Win - Lose vs Dragunov 9–11 45.00%
+_+ Win - Lose vs Jun 14–6 70.00%
+_+ Win - Lose vs Yoshimitsu 11–6 64.71%
+_+ Win - Lose vs Nina 9–8 52.94%
+_+ Win - Lose vs King 7–9 43.75%
+_+ Win - Lose vs Reina 8–8 50.00%
+_+ Win - Lose vs Clive 6–10 37.50%
+_+ Win - Lose vs Xiaoyu 7–8 46.67%
+_+ Win - Lose vs Paul 9–5 64.29%
+_+ Win - Lose vs Steve 6–5 54.55%
+_+ Win - Lose vs Azucena 9–2 81.82%
+_+ Win - Lose vs Heihachi 3–8 27.27%
+_+ Win - Lose vs Devil Jin 5–5 50.00%
+_+ Win - Lose vs Feng 4–5 44.44%
+_+ Win - Lose vs Alisa 4–5 44.44%
+_+ Win - Lose vs Lee 2–6 25.00%
+_+ Win - Lose vs Victor 7–0 100.00%
+_+ Win - Lose vs Jack-8 3–3 50.00%
+_+ Win - Lose vs Claudio 4–1 80.00%
+_+ Win - Lose vs Kuma 4–1 80.00%
+_+ Win - Lose vs Asuka 4–0 100.00%
+_+ Win - Lose vs Lars 1–2 33.33%
+_+ Win - Lose vs Shaheen 1–2 33.33%
+_+ Win - Lose vs Zafina 1–2 33.33%
+_+ Win - Lose vs Eddy 1–2 33.33%
+_+ Win - Lose vs Lidia 1–1 50.00%
+_+ Win - Lose vs Panda 1–0 100.00%
+_+ Win - Lose vs Leroy 1–0 100.00%
+_+ Win - Lose vs Raven 0–1 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.