Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

armpitman37
TRANSFORMERSone
will
armpitman37 vs Jin 45–23 66.18%
armpitman37 vs Kazuya 35–20 63.64%
armpitman37 vs Reina 28–23 54.90%
armpitman37 vs Bryan 31–16 65.96%
armpitman37 vs Steve 26–20 56.52%
armpitman37 vs Hwoarang 25–18 58.14%
armpitman37 vs King 23–15 60.53%
armpitman37 vs Dragunov 20–14 58.82%
armpitman37 vs Eddy 19–14 57.58%
armpitman37 vs Paul 18–14 56.25%
armpitman37 vs Azucena 13–17 43.33%
armpitman37 vs Yoshimitsu 18–11 62.07%
armpitman37 vs Lee 15–14 51.72%
armpitman37 vs Law 17–8 68.00%
armpitman37 vs Asuka 11–12 47.83%
armpitman37 vs Xiaoyu 14–7 66.67%
armpitman37 vs Lili 8–13 38.10%
armpitman37 vs Lars 11–9 55.00%
armpitman37 vs Jun 14–6 70.00%
armpitman37 vs Feng 13–6 68.42%
armpitman37 vs Alisa 11–8 57.89%
armpitman37 vs Devil Jin 10–8 55.56%
armpitman37 vs Leo 10–8 55.56%
armpitman37 vs Nina 10–7 58.82%
armpitman37 vs Heihachi 5–11 31.25%
armpitman37 vs Victor 10–5 66.67%
armpitman37 vs Kuma 8–5 61.54%
armpitman37 vs Leroy 11–2 84.62%
armpitman37 vs Lidia 9–3 75.00%
armpitman37 vs Claudio 5–5 50.00%
armpitman37 vs Raven 6–4 60.00%
armpitman37 vs Shaheen 2–2 50.00%
armpitman37 vs Zafina 1–3 25.00%
armpitman37 vs Jack-8 2–1 66.67%
armpitman37 vs Clive 2–1 66.67%
armpitman37 vs Panda 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.