Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

sumollama vs Jin 28–26 51.85%
sumollama vs King 22–21 51.16%
sumollama vs Kazuya 24–17 58.54%
sumollama vs Bryan 24–14 63.16%
sumollama vs Dragunov 14–20 41.18%
sumollama vs Law 16–17 48.48%
sumollama vs Steve 16–12 57.14%
sumollama vs Lili 15–13 53.57%
sumollama vs Lars 13–12 52.00%
sumollama vs Reina 12–13 48.00%
sumollama vs Asuka 13–11 54.17%
sumollama vs Lee 8–14 36.36%
sumollama vs Clive 10–12 45.45%
sumollama vs Devil Jin 12–9 57.14%
sumollama vs Paul 6–13 31.58%
sumollama vs Hwoarang 9–8 52.94%
sumollama vs Azucena 11–5 68.75%
sumollama vs Yoshimitsu 4–11 26.67%
sumollama vs Victor 11–4 73.33%
sumollama vs Alisa 4–10 28.57%
sumollama vs Eddy 4–10 28.57%
sumollama vs Heihachi 5–8 38.46%
sumollama vs Raven 10–2 83.33%
sumollama vs Xiaoyu 8–2 80.00%
sumollama vs Feng 8–2 80.00%
sumollama vs Jun 6–4 60.00%
sumollama vs Fahkumram 4–6 40.00%
sumollama vs Nina 7–2 77.78%
sumollama vs Shaheen 6–2 75.00%
sumollama vs Anna 4–4 50.00%
sumollama vs Jack-8 5–1 83.33%
sumollama vs Leo 4–2 66.67%
sumollama vs Leroy 3–2 60.00%
sumollama vs Lidia 2–3 40.00%
sumollama vs Kuma 2–2 50.00%
sumollama vs Armor King 2–1 66.67%
sumollama vs Claudio 2–0 100.00%
sumollama vs Panda 0–2 0.00%
sumollama vs Zafina 0–1 0.00%
sumollama vs Miary Zo 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.