Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Jabroni_Killer

Ratings

Jabroni_Killer vs Jin 56–37 60.22%
Jabroni_Killer vs Bryan 39–47 45.35%
Jabroni_Killer vs Kazuya 44–31 58.67%
Jabroni_Killer vs Dragunov 36–33 52.17%
Jabroni_Killer vs King 30–32 48.39%
Jabroni_Killer vs Steve 32–26 55.17%
Jabroni_Killer vs Paul 24–29 45.28%
Jabroni_Killer vs Lili 24–17 58.54%
Jabroni_Killer vs Yoshimitsu 21–19 52.50%
Jabroni_Killer vs Law 20–16 55.56%
Jabroni_Killer vs Lars 17–19 47.22%
Jabroni_Killer vs Hwoarang 10–22 31.25%
Jabroni_Killer vs Victor 12–19 38.71%
Jabroni_Killer vs Lee 17–12 58.62%
Jabroni_Killer vs Reina 15–11 57.69%
Jabroni_Killer vs Nina 16–9 64.00%
Jabroni_Killer vs Feng 12–12 50.00%
Jabroni_Killer vs Alisa 15–9 62.50%
Jabroni_Killer vs Devil Jin 8–14 36.36%
Jabroni_Killer vs Azucena 9–12 42.86%
Jabroni_Killer vs Claudio 5–14 26.32%
Jabroni_Killer vs Leroy 11–8 57.89%
Jabroni_Killer vs Eddy 12–6 66.67%
Jabroni_Killer vs Shaheen 7–10 41.18%
Jabroni_Killer vs Jack-8 6–10 37.50%
Jabroni_Killer vs Lidia 9–5 64.29%
Jabroni_Killer vs Zafina 5–7 41.67%
Jabroni_Killer vs Asuka 7–4 63.64%
Jabroni_Killer vs Jun 6–4 60.00%
Jabroni_Killer vs Raven 5–5 50.00%
Jabroni_Killer vs Leo 4–5 44.44%
Jabroni_Killer vs Kuma 1–8 11.11%
Jabroni_Killer vs Xiaoyu 4–3 57.14%
Jabroni_Killer vs Panda 2–5 28.57%

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.