Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Horse Schwarma vs King 26–15 63.41%
Horse Schwarma vs Kazuya 16–22 42.11%
Horse Schwarma vs Reina 23–10 69.70%
Horse Schwarma vs Jin 18–14 56.25%
Horse Schwarma vs Bryan 15–11 57.69%
Horse Schwarma vs Lidia 18–7 72.00%
Horse Schwarma vs Paul 13–10 56.52%
Horse Schwarma vs Law 12–8 60.00%
Horse Schwarma vs Lars 8–10 44.44%
Horse Schwarma vs Steve 8–9 47.06%
Horse Schwarma vs Dragunov 7–10 41.18%
Horse Schwarma vs Lee 8–9 47.06%
Horse Schwarma vs Lili 12–4 75.00%
Horse Schwarma vs Victor 10–6 62.50%
Horse Schwarma vs Azucena 8–7 53.33%
Horse Schwarma vs Nina 6–8 42.86%
Horse Schwarma vs Raven 5–9 35.71%
Horse Schwarma vs Yoshimitsu 9–4 69.23%
Horse Schwarma vs Asuka 8–5 61.54%
Horse Schwarma vs Eddy 6–6 50.00%
Horse Schwarma vs Jun 9–2 81.82%
Horse Schwarma vs Leo 4–6 40.00%
Horse Schwarma vs Heihachi 8–2 80.00%
Horse Schwarma vs Leroy 4–5 44.44%
Horse Schwarma vs Hwoarang 5–3 62.50%
Horse Schwarma vs Kuma 7–1 87.50%
Horse Schwarma vs Devil Jin 3–4 42.86%
Horse Schwarma vs Feng 6–1 85.71%
Horse Schwarma vs Zafina 4–3 57.14%
Horse Schwarma vs Alisa 5–1 83.33%
Horse Schwarma vs Claudio 4–2 66.67%
Horse Schwarma vs Xiaoyu 5–0 100.00%
Horse Schwarma vs Panda 4–1 80.00%
Horse Schwarma vs Clive 2–2 50.00%
Horse Schwarma vs Shaheen 0–2 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.