Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
ThrobbinWiliams

Ratings

ThrobbinWiliams vs Reina 28–30 48.28%
ThrobbinWiliams vs King 37–19 66.07%
ThrobbinWiliams vs Jin 22–31 41.51%
ThrobbinWiliams vs Steve 20–23 46.51%
ThrobbinWiliams vs Paul 13–22 37.14%
ThrobbinWiliams vs Eddy 16–18 47.06%
ThrobbinWiliams vs Law 15–18 45.45%
ThrobbinWiliams vs Dragunov 13–20 39.39%
ThrobbinWiliams vs Hwoarang 16–15 51.61%
ThrobbinWiliams vs Lili 11–20 35.48%
ThrobbinWiliams vs Leroy 13–17 43.33%
ThrobbinWiliams vs Kazuya 14–15 48.28%
ThrobbinWiliams vs Bryan 10–18 35.71%
ThrobbinWiliams vs Azucena 16–11 59.26%
ThrobbinWiliams vs Lars 11–15 42.31%
ThrobbinWiliams vs Jun 11–13 45.83%
ThrobbinWiliams vs Raven 11–12 47.83%
ThrobbinWiliams vs Yoshimitsu 7–15 31.82%
ThrobbinWiliams vs Victor 8–13 38.10%
ThrobbinWiliams vs Asuka 8–12 40.00%
ThrobbinWiliams vs Devil Jin 13–7 65.00%
ThrobbinWiliams vs Jack-8 10–9 52.63%
ThrobbinWiliams vs Feng 7–11 38.89%
ThrobbinWiliams vs Lee 13–5 72.22%
ThrobbinWiliams vs Leo 7–9 43.75%
ThrobbinWiliams vs Nina 8–8 50.00%
ThrobbinWiliams vs Zafina 9–7 56.25%
ThrobbinWiliams vs Kuma 9–6 60.00%
ThrobbinWiliams vs Xiaoyu 7–7 50.00%
ThrobbinWiliams vs Shaheen 5–8 38.46%
ThrobbinWiliams vs Alisa 2–9 18.18%
ThrobbinWiliams vs Claudio 4–7 36.36%
ThrobbinWiliams vs Panda 2–4 33.33%

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.