Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

JaeMin_0122
jaemin
JaeMin_0122 vs Kazuya 58–41 58.59%
JaeMin_0122 vs Dragunov 43–55 43.88%
JaeMin_0122 vs Hwoarang 44–44 50.00%
JaeMin_0122 vs Paul 40–46 46.51%
JaeMin_0122 vs King 39–45 46.43%
JaeMin_0122 vs Jin 32–44 42.11%
JaeMin_0122 vs Heihachi 38–37 50.67%
JaeMin_0122 vs Reina 31–30 50.82%
JaeMin_0122 vs Asuka 30–29 50.85%
JaeMin_0122 vs Bryan 22–35 38.60%
JaeMin_0122 vs Lili 23–27 46.00%
JaeMin_0122 vs Victor 22–28 44.00%
JaeMin_0122 vs Law 20–26 43.48%
JaeMin_0122 vs Steve 19–27 41.30%
JaeMin_0122 vs Yoshimitsu 28–17 62.22%
JaeMin_0122 vs Feng 18–27 40.00%
JaeMin_0122 vs Nina 22–20 52.38%
JaeMin_0122 vs Alisa 21–16 56.76%
JaeMin_0122 vs Xiaoyu 19–16 54.29%
JaeMin_0122 vs Jun 13–21 38.24%
JaeMin_0122 vs Jack-8 10–22 31.25%
JaeMin_0122 vs Eddy 16–13 55.17%
JaeMin_0122 vs Clive 11–18 37.93%
JaeMin_0122 vs Devil Jin 8–20 28.57%
JaeMin_0122 vs Claudio 17–10 62.96%
JaeMin_0122 vs Lee 12–14 46.15%
JaeMin_0122 vs Leroy 8–15 34.78%
JaeMin_0122 vs Lars 12–7 63.16%
JaeMin_0122 vs Azucena 12–6 66.67%
JaeMin_0122 vs Leo 7–10 41.18%
JaeMin_0122 vs Zafina 9–7 56.25%
JaeMin_0122 vs Lidia 6–9 40.00%
JaeMin_0122 vs Raven 9–4 69.23%
JaeMin_0122 vs Kuma 2–10 16.67%
JaeMin_0122 vs Shaheen 0–3 0.00%
JaeMin_0122 vs Panda 1–2 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.