Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

poo jin
Low Taper Fade
King
poo jin vs Bryan 48–15 76.19%
poo jin vs Kazuya 30–12 71.43%
poo jin vs King 33–7 82.50%
poo jin vs Jin 30–4 88.24%
poo jin vs Clive 11–19 36.67%
poo jin vs Yoshimitsu 23–4 85.19%
poo jin vs Steve 15–9 62.50%
poo jin vs Lili 17–7 70.83%
poo jin vs Dragunov 12–9 57.14%
poo jin vs Paul 12–8 60.00%
poo jin vs Hwoarang 18–1 94.74%
poo jin vs Reina 17–2 89.47%
poo jin vs Lee 10–7 58.82%
poo jin vs Eddy 13–2 86.67%
poo jin vs Zafina 9–5 64.29%
poo jin vs Xiaoyu 13–0 100.00%
poo jin vs Devil Jin 10–3 76.92%
poo jin vs Victor 10–2 83.33%
poo jin vs Law 10–1 90.91%
poo jin vs Nina 8–3 72.73%
poo jin vs Azucena 9–2 81.82%
poo jin vs Feng 7–3 70.00%
poo jin vs Raven 7–3 70.00%
poo jin vs Jack-8 5–4 55.56%
poo jin vs Alisa 6–3 66.67%
poo jin vs Jun 6–3 66.67%
poo jin vs Lars 7–1 87.50%
poo jin vs Leo 4–3 57.14%
poo jin vs Shaheen 6–1 85.71%
poo jin vs Kuma 4–2 66.67%
poo jin vs Asuka 4–0 100.00%
poo jin vs Heihachi 3–0 100.00%
poo jin vs Leroy 2–0 100.00%
poo jin vs Lidia 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.