Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

summa vs Lili 20–10 66.67%
summa vs King 18–8 69.23%
summa vs Jin 15–11 57.69%
summa vs Kazuya 16–6 72.73%
summa vs Dragunov 14–8 63.64%
summa vs Hwoarang 11–10 52.38%
summa vs Steve 16–5 76.19%
summa vs Reina 12–9 57.14%
summa vs Paul 8–11 42.11%
summa vs Devil Jin 9–6 60.00%
summa vs Asuka 11–2 84.62%
summa vs Jun 10–2 83.33%
summa vs Victor 9–2 81.82%
summa vs Fahkumram 2–9 18.18%
summa vs Bryan 7–3 70.00%
summa vs Law 5–4 55.56%
summa vs Feng 8–1 88.89%
summa vs Azucena 6–3 66.67%
summa vs Xiaoyu 7–1 87.50%
summa vs Jack-8 4–4 50.00%
summa vs Lars 7–1 87.50%
summa vs Leroy 3–5 37.50%
summa vs Yoshimitsu 3–3 50.00%
summa vs Kuma 3–3 50.00%
summa vs Zafina 3–3 50.00%
summa vs Nina 3–2 60.00%
summa vs Shaheen 0–4 0.00%
summa vs Eddy 1–3 25.00%
summa vs Alisa 3–0 100.00%
summa vs Lee 1–2 33.33%
summa vs Raven 2–1 66.67%
summa vs Anna 1–2 33.33%
summa vs Leo 0–2 0.00%
summa vs Heihachi 2–0 100.00%
summa vs Panda 1–0 100.00%
summa vs Clive 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.