Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
42ms

Ratings

42ms vs Paul 21–18 53.85%
42ms vs Lili 20–19 51.28%
42ms vs Reina 28–7 80.00%
42ms vs Dragunov 18–15 54.55%
42ms vs Jin 14–15 48.28%
42ms vs Kazuya 15–14 51.72%
42ms vs Azucena 12–17 41.38%
42ms vs King 15–13 53.57%
42ms vs Yoshimitsu 11–9 55.00%
42ms vs Bryan 7–13 35.00%
42ms vs Steve 11–9 55.00%
42ms vs Victor 9–10 47.37%
42ms vs Law 8–6 57.14%
42ms vs Nina 6–7 46.15%
42ms vs Leroy 7–6 53.85%
42ms vs Jun 10–3 76.92%
42ms vs Eddy 9–4 69.23%
42ms vs Asuka 6–6 50.00%
42ms vs Hwoarang 5–6 45.45%
42ms vs Feng 4–5 44.44%
42ms vs Jack-8 4–4 50.00%
42ms vs Leo 4–4 50.00%
42ms vs Lars 3–5 37.50%
42ms vs Xiaoyu 3–4 42.86%
42ms vs Devil Jin 1–6 14.29%
42ms vs Lee 1–6 14.29%
42ms vs Kuma 5–2 71.43%
42ms vs Zafina 2–5 28.57%
42ms vs Claudio 3–2 60.00%
42ms vs Shaheen 3–2 60.00%
42ms vs Panda 1–4 20.00%
42ms vs Lidia 4–0 100.00%
42ms vs Heihachi 1–1 50.00%
42ms vs Anna 2–0 100.00%
42ms vs Alisa 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.