Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

JirenTG vs Kazuya 280–230 54.90%
JirenTG vs Jin 269–186 59.12%
JirenTG vs King 175–176 49.86%
JirenTG vs Bryan 212–138 60.57%
JirenTG vs Dragunov 167–162 50.76%
JirenTG vs Law 154–170–1 47.53%
JirenTG vs Hwoarang 158–157 50.16%
JirenTG vs Devil Jin 159–138 53.54%
JirenTG vs Steve 165–131 55.74%
JirenTG vs Reina 180–108 62.50%
JirenTG vs Yoshimitsu 130–135 49.06%
JirenTG vs Lee 137–128 51.70%
JirenTG vs Paul 138–110 55.65%
JirenTG vs Heihachi 128–105 54.94%
JirenTG vs Lars 113–95 54.33%
JirenTG vs Lili 106–83 56.08%
JirenTG vs Jun 87–90 49.15%
JirenTG vs Asuka 74–98 43.02%
JirenTG vs Azucena 86–84 50.59%
JirenTG vs Jack-8 83–78 51.55%
JirenTG vs Feng 85–68 55.56%
JirenTG vs Nina 84–67 55.63%
JirenTG vs Xiaoyu 60–89 40.27%
JirenTG vs Alisa 63–85 42.57%
JirenTG vs Zafina 72–71 50.35%
JirenTG vs Leo 64–73 46.72%
JirenTG vs Claudio 72–65 52.55%
JirenTG vs Eddy 67–66 50.38%
JirenTG vs Raven 59–73 44.70%
JirenTG vs Leroy 60–63 48.78%
JirenTG vs Armor King 54–64 45.76%
JirenTG vs Clive 43–70 38.05%
JirenTG vs Kuma 36–70 33.96%
JirenTG vs Shaheen 41–50 45.05%
JirenTG vs Lidia 35–53 39.77%
JirenTG vs Victor 45–41 52.33%
JirenTG vs Anna 39–34 53.42%
JirenTG vs Fahkumram 47–26 64.38%
JirenTG vs Miary Zo 40–25 61.54%
JirenTG vs Panda 19–28 40.43%

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.